#
Clinical nursing and research

A.Y. 2019/2020

Learning objectives

To know and apply the principles and methodology of research and critical appraisal of the evidence of interest for nurses in the literature

To know and apply the principles and methodology of statistics useful for research in clinical nursing.

To know and apply the principles and methodology of epidemiological research, in order to promote individual and community health.

To knowing and apply computer science methods for bibliographic research, data presentation and processing through commonly used software.

To know and apply the principles and methodology of statistics useful for research in clinical nursing.

To know and apply the principles and methodology of epidemiological research, in order to promote individual and community health.

To knowing and apply computer science methods for bibliographic research, data presentation and processing through commonly used software.

Expected learning outcomes

The student will be able to describe the main steps of the research process. He will identify the main statistical measures useful for interpreting the quality of evidence.

The student will be able to explain the principles and methodology of epidemiological research.

The student will be able to carry out an independent bibliographic search in the main electronic databases.The student will be able to the main data presentation software.

The student will critically illustrate a scientific article.

The student will be able to explain the principles and methodology of epidemiological research.

The student will be able to carry out an independent bibliographic search in the main electronic databases.The student will be able to the main data presentation software.

The student will critically illustrate a scientific article.

**Lesson period:** First semester
(In case of multiple editions, please check the period, as it may vary)

**Assessment methods:** Esame

**Assessment result:** voto verbalizzato in trentesimi

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.

**Assessement 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

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

**Bibliography**

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

- 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

**Bibliography**

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

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

**Bibliography**

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).

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

**Bibliography**

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

Professors:
Martignoni Paolo, Volonte' Marco

Scienze infermieristiche generali cliniche e pediatriche

MED/45 - NURSING - University credits: 2

Lessons: 30 hours

Professors:
Colzani Elena, Mutta Elena

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.

**Assessement 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

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

**Bibliography**

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

- 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

**Bibliography**

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

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

**Bibliography**

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).

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

**Bibliography**

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.

**Assessement 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

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

**Bibliography**

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

- 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

**Bibliography**

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

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

**Bibliography**

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).

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

**Bibliography**

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

Professors:
Marcomini Ilaria, Milani Laura

Statistica medica

MED/01 - MEDICAL STATISTICS - University credits: 2

Lessons: 30 hours

Professor:
Pizzi Rita Maria Rosa

### Sezione: Don Gnocchi

**Prerequisites for admission**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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:
Bagarolo Renzo Augusto

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

Professors:
Castaldo Anna, Rosa Debora

Statistica medica

MED/01 - MEDICAL STATISTICS - University credits: 2

Lessons: 30 hours

Professor:
Arienti Chiara

### Sezione: Fatebenefratelli

**Prerequisites for admission**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professors:
Fanari Francesco, Parini Anna Maria

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

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professor:
Annunziata Francesco

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**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professors:
Busoni Claudio, Re Luca Giuseppe

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**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professors:
Accardi Roberto, Biffi Riccardo

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**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professor:
Tarantini Francesco

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

Professor:
Menia Timoftica Claudia

### Sezione: Sacco

Responsible

**Prerequisites for admission**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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:
Zehender Gianguglielmo

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**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professor:
Malvezzi Matteo Charles

### 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

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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:
Pregliasco Fabrizio Ernesto

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**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professors:
Rimoldi Elisa, Terzoni Stefano

Statistica medica

MED/01 - MEDICAL STATISTICS - University credits: 2

Lessons: 30 hours

Professor:
Baravelli Massimo

### Sezione: San Paolo

Responsible

**Prerequisites for admission**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professor:
Malvezzi Matteo Charles

### Sezione: Tumori

Responsible

**Prerequisites for admission**

**Assessement methods and criteria**

The written test includes closed and / or open-ended questions.

**Informatica**

**Course syllabus**

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

**Bibliography**

**Statistica medica**

**Course syllabus**

- 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

**Bibliography**

Lantieri PB, Risso D, Ravera G. Elementi di statistica medica. Milano: McGraw-Hill; 2007.

**Igiene generale e applicata**

**Course syllabus**

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

**Bibliography**

**Scienze infermieristiche generali cliniche e pediatriche**

**Course syllabus**

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

**Bibliography**

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

Professor:
Tarantini Francesco

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

Educational website(s)

Infermieristica clinica e ricerca - Istituto Tumori

Igiene generale e applicata - Mod. - Sacco

Infermieristica clinica e ricerca - Policlinico

Statistica medica - Mod. - Sacco (Infermieristica)

Statistica medica - Mod. - Policlinico

Infermieristica clinica e ricerca - Niguarda

Informatica - Mod. - Rho

Informatica - Mod. - San Paolo

Igiene generale e applicata - Mod. - Sacco

Infermieristica clinica e ricerca - Policlinico

Statistica medica - Mod. - Sacco (Infermieristica)

Statistica medica - Mod. - Policlinico

Infermieristica clinica e ricerca - Niguarda

Informatica - Mod. - Rho

Informatica - Mod. - San Paolo

Professor(s)