Clinical Nursing and Research
A.Y. 2021/2022
Learning objectives
To know and apply the principles and methodology of research and critical appraisal of the evidence of interest for nurses in the literature
To know and apply the principles and methodology of statistics useful for research in clinical nursing.
To know and apply the principles and methodology of epidemiological research, in order to promote individual and community health.
To knowing and apply computer science methods for bibliographic research, data presentation and processing through commonly used software.
To know and apply the principles and methodology of statistics useful for research in clinical nursing.
To know and apply the principles and methodology of epidemiological research, in order to promote individual and community health.
To knowing and apply computer science methods for bibliographic research, data presentation and processing through commonly used software.
Expected learning outcomes
The student will be able to describe the main steps of the research process. He will identify the main statistical measures useful for interpreting the quality of evidence.
The student will be able to explain the principles and methodology of epidemiological research.
The student will be able to carry out an independent bibliographic search in the main electronic databases.The student will be able to the main data presentation software.
The student will critically illustrate a scientific article.
The student will be able to explain the principles and methodology of epidemiological research.
The student will be able to carry out an independent bibliographic search in the main electronic databases.The student will be able to the main data presentation software.
The student will critically illustrate a scientific article.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Sezione: Busto Arsizio
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Binda Sandro
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Volonte' Marco
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Guidali Pierluigi
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professors:
Carta Patrizia, Mutta Elena
Sezione: Cernusco
Responsible
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Amendola Antonella
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Maistrello Mauro
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Ferraroni Monica
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Arcadi Paola
Sezione: Crema
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Marino Marcello
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Scarabottolo Nello
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Gianini Gabriele
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professors:
Marcomini Ilaria, Milani Laura
Sezione: Don Gnocchi
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Bedoni Marzia
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professors:
Preda Glauco, Votta Piero
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Rossi Marta
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Castaldo Anna
Sezione: Fatebenefratelli
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiological surveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiological surveillance
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Lai Alessia
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Cravero Silvio
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Rossi Marta
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professors:
Fanari Francesco, Parini Anna Maria
Sezione: IEO
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Capizzi Silvio
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Cirillo Ugo
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Radice Davide
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Ciccarelli Chiara
Sezione: Istituto Tumori
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Tanzi Elisabetta
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Tarantini Francesco
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Miceli Rosalba
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Consolo Letteria
Sezione: Magenta
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Barbato Cesario
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Cattolico Valeria
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Barbato Cesario
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Vezzoli Fabrizio
Sezione: Niguarda
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Prigitano Anna Cristina Maria
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Re Luca Giuseppe
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Mazzali Cristina
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Bassola Barbara
Sezione: Policlinico
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Romano' Luisa
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professors:
Accardi Roberto, Milos Roberto
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Casazza Giovanni
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Accardi Roberto
Sezione: Rho
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Fernandez Del Rio Maria Del Pilar
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Tarantini Francesco
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Menia Timoftica Claudia
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Tinti Stefania
Sezione: Sacco
Responsible
The written test includes closed and / or open-ended questions.
The evaluation of the written barrier test DOES NOT give rise to a mark, but only to admission to the oral test.
The oral exam includes questions the assessment of which relates to the following parameters: content, logic, language properties.
The evaluation of the oral test is out of thirty.
The evaluation of the written barrier test DOES NOT give rise to a mark, but only to admission to the oral test.
The oral exam includes questions the assessment of which relates to the following parameters: content, logic, language properties.
The evaluation of the oral test is out of thirty.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiological surveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiological surveillance
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Zehender Gianguglielmo
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Cravero Silvio
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Biganzoli Elia
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Rosa Debora
Sezione: San Carlo
Responsible
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Binda Sandro
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Laurora Mauro
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Bravi Francesca
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor:
Terzoni Stefano
Sezione: San Donato
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Prigitano Anna Cristina Maria
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Conte Gianluca
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Carpinelli Luca
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professors:
Caruso Rosario, Dellafiore Federica
Sezione: San Giuseppe
Responsible
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiologicalsurveillance
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Binda Sandro
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Terzoni Stefano
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Lombardi Linda
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professors:
Rimoldi Elisa, Terzoni Stefano
Sezione: San Paolo
Responsible
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Prerequisites for admission
The student must have passed the exams of: Basic Sciences, Clinical nursing sciences 2, Medicine and pharmacology and internship 2.
Assessment methods and Criteria
The written test includes closed and / or open-ended questions.
Informatics
Course syllabus
What is information technology and evolution of processing systems.
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Introduction to computer architecture
System software: mention of the main functions of the Windows operating system (memory management, process management) and description of the file system.
Application software: word processing, spreadsheets, presentation systems, databases.
Internet: structure, main services
Search engines and databases
Lessons in computer lab:
Microsoft Word: choice of formats, insertion of images, notes, use of style models, automatic numbering, cross references, automatic index creation, creation and layout of a questionnaire
Microsoft Powerpoint - slides creation and presentation
Microsoft Excel: Introduction to the spreadsheet, cell formatting, use of predefined functions, representation of data by graphs creation.
Microsoft Access: creation of a database with tables, forms, queries and reports.
Research methods in the main biomedical and nursing databases
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Medical statistics
Course syllabus
1. Data collection:
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
- Inter and intra-individual variability
- How to describe synthetically a variable phenomenon
- Population and Sample: definition
- Sampling methods in medical fields
- Observational study and experimental study
- Specific terminology and definitions: randomization, placebo, simple and double blindness, ethics committee
2. Instruments for data synthesis: tables and graphs
- Numerical values and modalities of a variable
- Characteristics of qualitative and quantitative variables
- Building and reading frequency distributions and two-variable tables
- Calculation and use of percentage frequencies and cumulated frequencies
- Proportions, ratios and rates: difference between prevalence and incidence
- The rules for a correct graphical representation of a set of data
3. Instruments for data synthesis: position, dispersion and association measures.
- Measures of location: mode, median, arithmetic mean and geometric mean
- Characteristics of measures of location
- Measures of variability: range, interquartile range, standard deviation, coefficient of variation
- Characteristics of the measures of variability
- Calculation and use of percentiles
- How to evaluate the association between two qualitative variables and between two quantitative variables: linear correlation coefficient and concordance indices
4. Relationship between location and dispersion measures: the "form" of the frequency distribution
- How to evaluate the asymmetry of a frequency distribution
- The characteristics of the Gaussian distribution
- Calculation and use of z-scores
- Meaning of confidence intervals
5. Measures of association between risk factor and disease
- The meaning of "risk" in the medical / health field
- Risk indicators: Absolute Risk, Attributable Risk, Relative Risk, Odds Ratio
- Similarities and differences between relative risk and attributable risk and between relative risk and odds ratio
6. The clinical decision: probability as a measure of uncertainty
- How sensitivity, specificity and predictive values of a screening test are estimated
- How to interpret the results of a screening test: SpPin and SnNout rules - statistical significance and clinical relevance
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Hygiene and public health
Course syllabus
Methodology of epidemiology
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiological surveillance
1. Sources of epidemiological data
- Demographic data: the census, vital statistics
- Health data: notification of infectious diseases, hospital sources, ad hoc investigations, pathology registers
- Other sources
2. Use of frequency measures and health indicators
3. Health and disease determinants
4. Risk factor and disease
- Causality
- Risk measures
- The association measures: Relative Risk, Attributable Risk, OddsRatio
5. Types of epidemiological studies
- Observational studies for the formulation of hypotheses: ecological or descriptive studies and transversal studies
- Analytical studies for hypothesis testing: cohort studies and case-control studies
- Experimental studies to support the hypothesis: randomized controlled trials and randomized controlled population studies
- Application of risk measures in public health
6. Screening: meaning and application in public health
7. Epidemiological surveillance
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Nursing sciences: general, clinical and paediatric
Course syllabus
1) Nursing research process
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Nursing Research, areas of application, actors of the research process
Identification of the main characteristics and phases of a research protocol: different study designs and ethical implications
2) Evidence based practice (EBP)
Definition, EBP hierarchy and sources
Keyword identification
Literature research strategy and retrieval of the source: Databases and other sources.
3) Critical analysis of research articles
Method of analysis of a research article by specific check lists
Summary of results obtained for the application in clinical practice.
4) Application of research results in professional practice: procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways. Meaning, purpose and structure (title, authors, last revision/numbering, content, cited references). Research protocol aimed at the realization of the thesis.
Exercises (eg critical reading of the hospital procedures, protocols, guidelines and diagnostic-therapeutic-assistance pathways, produced and applied by the welfare community. Reading of research articles. Elaboration of the research protocol aimed at the realization of the thesis).
Teaching methods
Frontal lessons.
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010.
Hygiene and public health
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor:
Binda Sandro
Informatics
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor:
Terzoni Stefano
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor:
Bravi Francesca
Nursing sciences: general, clinical and paediatric
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professors:
Ferrara Paolo, Terzoni Stefano
Professor(s)
Reception:
by appointment
Reception:
2:00- 4:00 pm
Hospital Gaetano Pini
Reception:
On appointment
Polo didattico "Valetudo", via Pace, 9 - 20122 Milano
Reception:
tuesday 2.00 pm- 3.00 pm
Please, send an email before