Unit NURSING BASED ON EFFICACY TRIALS

Course
Nursing
Study-unit Code
50023205
Location
FOLIGNO
Curriculum
In all curricula
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 50696901
Location FOLIGNO
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
Location FOLIGNO
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
Topics covered in this course include: basic principles of epidemiology, measures of disease frequency, epidemiologic study designs, observational and experimental epidemiology, CBPR (Community-based participatory research), confounding bias, causality and causal inference, evidence-based medicine, reviews, meta-analysis and ethical issues in epidemiologic research.
Reference texts
Beaglehole R, Bonita R, Kjellstrom T. Epidemiolgia di base. 2010 WHO.

Lopalco PL, Tozzi AE. Epidemiologia facile. Collana Archi. Editore: Il Pensiero Scientifico, 2007
Educational objectives
By the end of this course students will develop the ability to: describe and calculate epidemiological measures used to define and quantify health problems in and across defined populations; describe the range of epidemiologic study designs and be able to evaluate the strengths and limitations of each; identify and describe the impact of bias and confounding in epidemiologic studies; critically read and evaluate epidemiologic studies in the medical or public health literature.
Teaching methods
Lectures on all the subjects of the course.
Learning verification modality
Written exam.
Extended program Epidemiology: history, definition and scope.
Sources of epidemiological data. Rates of morbidity and mortality. Mortality tables. Population pyramids.
Study design: observational and experimental epidemiology.
Ecological studies. Cross-sectional studies. Measures of disease frequency: prevalence and incidence.
Analytical epidemiology: cohort and case-control studies. Causal and/or noncausal association. Evaluation of relative risk (RR) and odds-ratio (OR); attributable risk.
Experimental epidemiology: preventive trials, randomized clinical trials, megatrials, and Community-based participatory research.
Molecular epidemiology (biomarkers).
Evidence-based medicine: systematic reviews and meta-analysis.

SCIENTIFIC EVIDENCES FOR NURSING

Code 50696801
Location FOLIGNO
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.
Obiettivi Agenda 2030 per lo sviluppo sostenibile

HEALTH STATISTICS

Code 50696701
Location FOLIGNO
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 (open-ended and 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.
Condividi su