Unit NURSING BASED ON TESTS OF EFFECTIVENESS

Course
Nursing
Study-unit Code
A001004
Curriculum
In all curricula
Teacher
Chiara De Waure
CFU
5
Course Regulation
Coorte 2020
Offered
2021/22
Type of study-unit
Obbligatorio (Required)
Type of learning activities
Attività formativa integrata

BIOENGINEERING AND MEDICAL INFORMATICS

Code A001008
CFU 1
Teacher Chiara De Waure
Learning activities Altro
Area Altre attività quali l'informatica, attività seminariali ecc.
Academic discipline INF/01
Type of study-unit Obbligatorio (Required)

Canale A

CFU
1
Teacher
Emilia Nunzi
Teachers
  • Emilia Nunzi
Hours
  • 15 ore - Emilia Nunzi
Language of instruction
Italian
Contents
Programma:

The course is organized as follows:

lectures on all subjects of the course;

2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation. For any further incormation, please contact Prof. Ing. E. Nunzi (emilia.nunzi@unipg.it).
Reference texts
Lecture notes of the teacher

Barbara Christe "Introduction to Biomedical Instrumentation" The Technology of Patient Care 2009
Educational objectives
The objectives of the module are: to provide an overview of the instruments for diagnostic, therapeutic and rehabilitation programs in use in the health and structure of computers and equipment connected to it; provide information on the potential and possibilities of application of information technology in the field of Biomedical Doctor, the risk factors linked to it, electrical safety, the basic principles for their proper use and provide an overview of the most popular technologies and used in healthcare; provide knowledge about the processes of data acquisition via computer.

The main skills (ability to apply knowledge acquired) will be the analysis and use of applications and biomedical instrumentation and their integration in the field of care.
Prerequisites
Good knowledge of the basic statistical methodolgies.
Teaching methods
The course is organized as follows:
- lectures on all subjects of the course;

- 2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation.
Other information
For further information please contact the teacher Ing. E. Nunzi (emilia.nunzi@unipg.it)
Learning verification modality
Oral exame
Extended program
Programma:

The course is organized as follows:

- lectures on all subjects of the course;

- 2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation. For any further incormation, please contact Prof. Ing. E. Nunzi (emilia.nunzi@unipg.it).

Canale B

CFU
1
Teacher
Emilia Nunzi
Teachers
  • Emilia Nunzi
Hours
  • 15 ore - Emilia Nunzi
Language of instruction
Italian
Contents
Programma:

The course is organized as follows:

lectures on all subjects of the course;

2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation. For any further incormation, please contact Prof. Ing. E. Nunzi (emilia.nunzi@unipg.it).
Reference texts
Lecture notes of the teacher

Barbara Christe "Introduction to Biomedical Instrumentation" The Technology of Patient Care 2009
Educational objectives
The objectives of the module are: to provide an overview of the instruments for diagnostic, therapeutic and rehabilitation programs in use in the health and structure of computers and equipment connected to it; provide information on the potential and possibilities of application of information technology in the field of Biomedical Doctor, the risk factors linked to it, electrical safety, the basic principles for their proper use and provide an overview of the most popular technologies and used in healthcare; provide knowledge about the processes of data acquisition via computer.

The main skills (ability to apply knowledge acquired) will be the analysis and use of applications and biomedical instrumentation and their integration in the field of care.
Prerequisites
Good knowledge of the basic statistical methodolgies.
Teaching methods
The course is organized as follows:
- lectures on all subjects of the course;

- 2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation.
Other information
For further information please contact the teacher Ing. E. Nunzi (emilia.nunzi@unipg.it)
Learning verification modality
Oral exame
Extended program
Programma:

The course is organized as follows:

- lectures on all subjects of the course;

- 2 computer exercises (optional) to play in the computer lab. Students will be divided into groups (maximum 25 students per group) and follow the guided exercises, each lasting 2 hours, preceded by a presentation. For any further incormation, please contact Prof. Ing. E. Nunzi (emilia.nunzi@unipg.it).

SCIENTIFIC EVIDENCES FOR NURSING

Code A001006
CFU 1
Teacher Chiara De Waure
Learning activities Caratterizzante
Area Scienze infermieristiche
Academic discipline MED/45
Type of study-unit Obbligatorio (Required)

Canale A

CFU
1
Teacher
Rosita Morcellini
Teachers
  • Rosita Morcellini
Hours
  • 15 ore - Rosita Morcellini

Canale B

CFU
1
Teacher
Nicola Ramacciati
Teachers
  • Nicola Ramacciati
Hours
  • 15 ore - Nicola Ramacciati
Language of instruction
Italian
Contents
Put evidence in nursing
Reference texts
• Craig JV, Dowding DW. Evidence_Based Practice in Nursing. 4/ed. Elsevier, 2019.
• Polit DF, Tatano Beck C. Fondamenti di ricerca infermieristica. 2/ed. Milano: McGraw – Hill. 2018.
• Chiari P,Mosci D, Naldi E. Evidence-Based Clinical Practice La pratica clinico - assistenziale basata su prove di efficacia. 2/ed. Milano: McGraw – Hill. 2011.
• Vellone E, Piredda M. La ricerca bibliografica. Milano: McGraw – Hill. 2008.
• Handouts
Educational objectives
After completing the course, participants will be able to:
- Learn about the history, philosophy and general principles of evidence-based nursing (EBN);
- Know the main sources of evidence (clinical trials);
- Know the main biomedical dtabases;
- Know the main approaches for obtaining evidence of effectiveness and related operational tools (guidelines, procedures and protocols);
- Read, analyze and evaluate the methodological quality of a clinical study and a guideline;
- Access to a database for the biomedical research of the literature.
Prerequisites
None
Teaching methods
Lectures, Critical analysis of publication on nursing science, literature research on PubMed and CINAHAL.
Other information
none
Learning verification modality
Written examination (multiple choice test and open-ended questions)
Extended program
Evidence-based nursing history.
Evidence-based nursing and type of studies.
Reading, analysis and evaluation of a study.
Guide lines, procedures and protocols evidence-based.
Methodology of scientific literature search.
Biomedical databases: PubMed and CINAHL.
Practical exercises

GENERAL AND APPLIED HYGIENE

Code A001007
CFU 2
Teacher Chiara De Waure
Learning activities Base
Area Scienze propedeutiche
Academic discipline MED/42
Type of study-unit Obbligatorio (Required)

Canale A

CFU
2
Teacher
Chiara De Waure
Teachers
  • Chiara De Waure
Hours
  • 30 ore - Chiara De Waure
Language of instruction
Italian
Contents
Definition of health and public health, definition and classification of
health determinants and preventive interventions. The role of
epidemiology in public health. Epidemiology and prevention of
communicable and non communicable diseases. Health systems and
organization.
Reference texts
Ricciardi W et al. [Editor]. Igiene per le lauree triennali e magistrali.
Idelson Gnocchi 2019
Educational objectives
The aim of the course is to provide students with the knowledge and skills
to analyse population health and needs and to properly use preventive
interventions.
Prerequisites
Knowledge of secondary school mathematics and biology
Teaching methods
Lectures
Learning verification modality
Written test
Extended program
Definition of health and public health, definition and classification of
health determinants. Natural history of disease. Prevention: definition,
aims, levels (primary, secondary and tertiary) and methods. The role of
the epidemiology in the health planning: epidemiological measures and
approaches to the study of health. Epidemiology and prevention of
communicable diseases: direct (disinfection, sterilization, notification,
contingency measures, diagnostic assessment, vaccines) and indirect
methods. Epidemiology and prevention of non-communicable diseases:
health education and promotion and screening. History and
development of the Italian national health service. Organization of the
Italian health system.

Canale B

CFU
2
Teacher
Chiara De Waure
Teachers
  • Chiara De Waure
Hours
  • 30 ore - Chiara De Waure
Language of instruction
Italian
Contents
Definition of health and public health, definition and classification of
health determinants and preventive interventions. The role of
epidemiology in public health. Epidemiology and prevention of
communicable and non communicable diseases. Health systems and
organization.
Reference texts
Ricciardi W et al. [Editor]. Igiene per le lauree triennali e magistrali.
Idelson Gnocchi 2019
Educational objectives
The aim of the course is to provide students with the knowledge and skills
to analyse population health and needs and to properly use preventive
interventions.
Prerequisites
Knowledge of secondary school mathematics and biology
Teaching methods
Lectures
Learning verification modality
Written test
Extended program
Definition of health and public health, definition and classification of
health determinants. Natural history of disease. Prevention: definition,
aims, levels (primary, secondary and tertiary) and methods. The role of
the epidemiology in the health planning: epidemiological measures and
approaches to the study of health. Epidemiology and prevention of
communicable diseases: direct (disinfection, sterilization, notification,
contingency measures, diagnostic assessment, vaccines) and indirect
methods. Epidemiology and prevention of non-communicable diseases:
health education and promotion and screening. History and
development of the Italian national health service. Organization of the
Italian health system.

SANITARY STATISTICS

Code A001005
CFU 1
Teacher Chiara De Waure
Learning activities Base
Area Scienze propedeutiche
Academic discipline MED/01
Type of study-unit Obbligatorio (Required)

Canale A

CFU
1
Teacher
Fabrizio Stracci
Teachers
  • Fabrizio Stracci
Hours
  • 15 ore - Fabrizio Stracci
Language of instruction
Italian
Contents
The basis of scientific investigation
The role of statistic methods in biomedical research
Descriptive statistics
Inferential statistics
The linear regression model to analyze relationships between variables
Reference texts
Primer of biostatistics by Stanton A. Glantz

or

Principles of Biostatistics by Marcello Pagano, Kimberlee Gauvreau
Educational objectives
Basic data analysis
Understanding of the role of statistics in medicine
Critical reading of methods and results in published biomedical research
Prerequisites
none
Teaching methods
Lesson
Practical exercises
Learning verification modality
Oral test
Extended program
1. Introduction
1.1 Statistics definitions and scope
1.2 Statistical methods in medical research

2. Data
2.1 Types of variables
2.2 Tabulation and processing of data
2.3 Diagrams
2.4 Descriptive statistics
2.5 Measures of central tendency
2.6 Measures of variability

3. Probability
3.1 Frequentist definition of probability
3.2 Probability distributions
3.3 The normal or Gaussian distribution
3.4 Probability distributions and applications

4. Populations and samples
4.1 Parameters and their estimation
4.2 Sampling

5. Statistical inference
5.1 Point and interval estimation
5.2 Confidence interval for the sample mean
5.3 Significance testing
5.4 Parametric Hypothesis Tests: Student’s t test and Analysis of Variance
5.5 Confidence interval for the difference between two means
5.6 Non-Parametric Hypothesis Tests: chi-squared test

6. Regression and correlation
6.1 Regression models
6.2 Linear regression
6.2.1 Linear regression equation: parameters estimation using the ordinary least squares method
6.2.2 Tests of significance in regression
6.2.3 Confidence interval for the linear regression coefficient b
6.3 Correlation
6.4 Critical reading of results from multivariable regression models

Canale B

CFU
1
Teacher
Fabrizio Stracci
Teachers
  • Fabrizio Stracci
Hours
  • 15 ore - Fabrizio Stracci
Language of instruction
Italian
Contents
The basis of scientific investigation
The role of statistic methods in biomedical research
Descriptive statistics
Inferential statistics
The linear regression model to analyze relationships between variables
Reference texts
Primer of biostatistics by Stanton A. Glantz

or

Principles of Biostatistics by Marcello Pagano, Kimberlee Gauvreau
Educational objectives
Basic data analysis
Understanding of the role of statistics in medicine
Critical reading of methods and results in published biomedical research
Prerequisites
none
Teaching methods
Lesson
Practical exercises
Learning verification modality
Oral test
Extended program
1. Introduction
1.1 Statistics definitions and scope
1.2 Statistical methods in medical research

2. Data
2.1 Types of variables
2.2 Tabulation and processing of data
2.3 Diagrams
2.4 Descriptive statistics
2.5 Measures of central tendency
2.6 Measures of variability

3. Probability
3.1 Frequentist definition of probability
3.2 Probability distributions
3.3 The normal or Gaussian distribution
3.4 Probability distributions and applications

4. Populations and samples
4.1 Parameters and their estimation
4.2 Sampling

5. Statistical inference
5.1 Point and interval estimation
5.2 Confidence interval for the sample mean
5.3 Significance testing
5.4 Parametric Hypothesis Tests: Student’s t test and Analysis of Variance
5.5 Confidence interval for the difference between two means
5.6 Non-Parametric Hypothesis Tests: chi-squared test

6. Regression and correlation
6.1 Regression models
6.2 Linear regression
6.2.1 Linear regression equation: parameters estimation using the ordinary least squares method
6.2.2 Tests of significance in regression
6.2.3 Confidence interval for the linear regression coefficient b
6.3 Correlation
6.4 Critical reading of results from multivariable regression models
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