Unit NURSING BASED ON EFFICACY TRIALS

BIOENGINEERING AND MEDICAL INFORMATICS

Code	50696901
CFU	1
Teacher	Daniela Fruttini
Teachers	Daniela Fruttini
Hours	15 ore - Daniela Fruttini
Learning activities	Altro
Area	Altre attività quali l'informatica, attività seminariali ecc.
Academic discipline	INF/01
Type of study-unit	Obbligatorio (Required)

EPIDEMIOLOGY

Code	50696902
CFU	2
Teacher	Milena Villarini
Teachers	Milena Villarini
Hours	30 ore - Milena Villarini
Learning activities	Base
Area	Scienze propedeutiche
Academic discipline	MED/42
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	Starting from the meaning of epidemiology compared with the evolution of the concepts of health and disease, the course will provide a deep knowledge of the epidemiological research methods also through the clarification of the links with the health statistics. Room will be offered to the placement of epidemiology in the healthcare system with particular reference to nursing skills
Reference texts	R. Beglehole, R. Bonita, T. Kjellstroem, Epidemiologia di base, Editoriale Fernando Folini (online) C. Signorelli, Elementi di metodologia epidemiologica, Società Editrice Universo N. Comodo, G. Maciocco, Igiene e sanità pubblica. Manuale per le professioni sanitarie, Carocci Editore (cap. 1, 10, 11, 12, 13) Materiali delle lezioni
Educational objectives	At the end of the course, you will develop a knowledge of the basic theoretical and methodological principles of epidemiology and the advantages and disadvantages of epidemiological methods. There will also be adequate knowledge of the location of epidemiology as objectives and services in the national health system
Prerequisites	none
Teaching methods	lessons Classroom exercise
Learning verification modality	The final evaluation will aim to ascertain the knowledge learned in the course with respect to the topics indicated in the program. The assessment test will take place in oral form.
Extended program	1. Definition of epidemiology 2. Reference to the models of disease and health 3. The state of health of the population: national and international epidemiological profile 4. Elements of Demography for epidemiological knowledge 5. How epidemiology measures health phenomena: absolute number, ratio, proportion, rate 6. Morbidity and Mortality 7. Incidence and Prevalence 8. Crude rate and specific rates, standardization of rates 9. Comparison of rates 10. Association between phenomena 11. The concept of risk: definition 12. The risk factors 13. Risk measures 14. The risk communication (outline) 15. How epidemiology studies health and disease phenomena 16. Observational and experimental study design 17. Observational study design: descriptive and analytical studies 18. Experimental study design 19. The collection of epidemiological data: data sources 20. Interpretation of epidemiological data: bias and confounding factors 21. Management of an epidemic

SCIENTIFIC EVIDENCES FOR NURSING

Code	50696801
CFU	1
Teacher	Gianluigi Bellani
Teachers	Gianluigi Bellani
Hours	15 ore - Gianluigi Bellani
Learning activities	Caratterizzante
Area	Scienze infermieristiche
Academic discipline	MED/45
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	The nurses in clinical practice is to employ the best scientific evidence for your patient and his profession. The task of the nurse is to know to acquire, read, interpret and use the scientific evidence, the research sources, literature and databases to provide the best and latest treatments.
Reference texts	Chiari P., Mosci D., Naldi E., L'infermieristica basata su prove di efficacia, guida operativa per l'evidence based nursing. McGraw Hill Editore, Milano, 2006, ISBN: 9788838616686 - Articles provided by the teacher
Educational objectives	The student, at the end of the course, will be able to: Search, read and analyze a scientific article.
Prerequisites	not provided
Teaching methods	face-to-face
Other information	Attendance: Compulsory. At least 75% of lessons Venue: Via Oberdan n.123 - Foligno Start and end dates of teaching activities as per calendar published on the Degree Course website See web site http://www.med.unipg.it/infermieristica/Foligno/
Learning verification modality	Oral exam with discussion on research article.
Extended program	Nursing Evidence-Based The Evidence Based Practice 1. The clinical care decision: the positivist paradigm and post-positivist paradigm. 2. Background. 3. Definition and characteristics. 4. Benefits, obstacles and limitations of evidence-based practice. EBN methodology 1. Convert the need for clinical question information. 2. Seek the best information: a) The stages of the literature search process; b) Multimedia sources in research. 3. Read and interpret the evidence. 4. The tools for evidence-based practice: a) Systematic reviews; b) Meta-analysis; c) Guidelines. Research Methodology 1. The relationship between theory and nursing research. 2. The phases of the research process.

HEALTH STATISTICS

Code	50696701
CFU	1
Teacher	Massimo Moretti
Teachers	Massimo Moretti
Hours	15 ore - Massimo Moretti
Learning activities	Base
Area	Scienze propedeutiche
Academic discipline	MED/01
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian.
Contents	General information on statistics and its use in Medicine. Aims and methods of statistical analysis. Descriptive and inferential statistics.
Reference texts	Flowler J., Jarvis P., Chevannes M. "Statistica per le Professioni Sanitarie" - Edizioni EdiSES, 2005.
Educational objectives	The main objective of the course is to provide students with adequate knowledge in order to understand the use of the elements of statistical research.
Prerequisites	Knowledge of basic elements of Mathematics.
Teaching methods	Face-to-face lessons.
Learning verification modality	Written exam (closed-ended questions).
Extended program	- Numerical/categorical variables. - Analysis of numerical outcomes: mean/median, standard deviation, standard error. Data analysis and presentation. Main graphic representations (histograms, etc.). - The normal distribution. - Inferential statistics. Comparison of two means: hypothesis tests and p-values. - Student's t-test, ANOVA, Chi-square test.