Clinical nursing and research

A.Y. 2019/2020
7
Max ECTS
105
Overall hours
SSD
INF/01 MED/01 MED/42 MED/45
Language
Italian
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.
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.
Course syllabus and organization

Sezione: Busto Arsizio

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Binda Sandro
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Guidali Pierluigi

Sezione: Cernusco

Responsible
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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Amendola Antonella
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Maistrello Mauro
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Mancini Michela
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Ferraroni Monica

Sezione: Crema

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Marino Marcello
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Scarabottolo Nello
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours

Sezione: Don Gnocchi

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professors: Rosa Debora, Votta Piero
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Arienti Chiara

Sezione: Fatebenefratelli

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Tagger Alessandro
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Cravero Silvio
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Radice Davide

Sezione: IEO

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Ciorba Veronica
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Grilli Luigi
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Ciccarelli Chiara
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Gandini Sara

Sezione: Magenta

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Barbato Cesario
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Vezzoli Fabrizio
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Bodina Annalisa

Sezione: Niguarda

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Elli Gaetano
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Bassola Barbara
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Barbieri Pietro

Sezione: Policlinico

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Romano' Luisa
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Accardi Roberto
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Casazza Giovanni

Sezione: Rho

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Trapani Martino
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Tinti Stefania
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours

Sezione: Sacco

Responsible
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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Cravero Silvio
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Rosa Debora
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Casazza Giovanni

Sezione: San Carlo

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Binda Sandro
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Laurora Mauro
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Terzoni Stefano
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours

Sezione: San Donato

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Paoli Jonny
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Caruso Rosario
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Carpinelli Luca

Sezione: San Giuseppe

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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Binda Sandro
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Terzoni Stefano
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Baravelli Massimo

Sezione: San Paolo

Responsible
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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Binda Sandro
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Professor: Terzoni Stefano
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Terzoni Stefano
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours

Sezione: Tumori

Responsible
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.
Informatica
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
Teaching methods
Frontal lessons
Teaching Resources
Terzoni S, Destrebecq A. Informatica per le professioni infermieristiche ed ostetriche. Milano: Ulrico Hoepli Editore, 2010
Statistica medica
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
Teaching methods
Frontal lessons
Teaching Resources
Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.
Igiene generale e applicata
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
Teaching methods
Frontal lessons
Teaching Resources
Auxilia F, Pontello M, Amendola A. Igiene e sanità pubblica: i fondamenti della prevenzione. Padova: Piccin; 2011.
Scienze infermieristiche generali cliniche e pediatriche
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).
Teaching methods
Frontal lessons
Teaching Resources
Polit DF, Tatano BC. Fondamenti di ricerca infermieristica. (2ed). Milano: McGraw-Hill, 2018
Igiene generale e applicata
MED/42 - HYGIENE AND PUBLIC HEALTH - University credits: 1
Lessons: 15 hours
Professor: Tanzi Elisabetta
Informatica
INF/01 - INFORMATICS - University credits: 2
Lessons: 30 hours
Scienze infermieristiche generali cliniche e pediatriche
MED/45 - NURSING - University credits: 2
Lessons: 30 hours
Professor: Consolo Letteria
Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 30 hours
Professor: Miceli Rosalba