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