Unit RESEARCH METHODOLOGY

GENERAL AND APPLIED HYGIENE

Code	GP003132
CFU	2
Teacher	Manuela Chiavarini
Teachers	Manuela Chiavarini
Hours	30 ore - Manuela Chiavarini
Learning activities	Base
Area	Scienze propedeutiche
Academic discipline	MED/42
Type of study-unit	Obbligatorio (Required)

COMPUTER SCIENCE

Code	GP003880
CFU	2
Teacher	Francesco Santini
Teachers	Francesco Santini
Hours	30 ore - Francesco Santini
Learning activities	Caratterizzante
Area	Scienze interdisciplinari
Academic discipline	INF/01
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian.
Contents	HTML and CSS programming, visualization of content through a Webpage. Databases and search engines in Life Sciences and Biomedical topics (PubMed). Introduction to Word. Introduction to Powerpoint. Introduction to Excel. R language.
Reference texts	Handouts.
Educational objectives	Students will learn how the basics of computer programming in HTML/CSS and R languages. Moreover, they will be introduced to Word, Powerpoint and Excel, and how to search for information in PubMed.
Prerequisites	No specific requirement.
Teaching methods	Frontal lessons with slides and laboratory exercises.
Other information	Website: www.unistudium.unipg.it
Learning verification modality	The exam project consists in choosing a scientific article through PubMed, and present it with a Website, a report in Word, a presentation in Powerpoint, and finally to represent data with an Excel sheet. Moreover, it will be required prepare a short R script to analyse the Excel data. The assignment will be prepared in group and individually discussed during the oral exam. For information on support services for students with disabilities and / or DSA visit the page http://www.unipg.it/disabilita-e-dsa
Extended program	HTML. CSS language. Life Sciences and Biomedical databases (PubMed, etc.). Search for information in PubMed. Introduction to Word and how to prepare a scientific report. Introduction to Powerpoint and hot to prepare a presentation. Introduction to Excel and statistical functions. Introduction to R language.

MIDWIFERY, NURSING GYNAECOLOGICAL SCIENCES

Code	50518804
CFU	2
Teacher	Eleonora Brillo
Teachers	Eleonora Brillo
Hours	30 ore - Eleonora Brillo
Learning activities	Caratterizzante
Area	Scienze ostetriche
Academic discipline	MED/47
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	The course introduces students to the main issues in evidence based medicine (EBM), literature research and review, databases (Cochrane Library and Medline/PubMed), methodology for drawing up protocols and final reports of systematic reviews, key features of meta-analyses and forest plots, research designs of primary studies, reading and assessment of scientific texts, methodology for writing protocols for clinical trials.
Reference texts	-Fain JA. La ricerca infermieristica. Leggerla, comprenderla e applicarla. Milano: Mc Graw-Hill; 2004. -Polit DF, Beck CT. Fondamenti di Ricerca infermieristica. Milano: Mc Graw-Hill; 2014. -Vellone E, Piredda M. La ricerca bibliografica; strumenti e metodi per trovare e utilizzare la letteratura sanitaria. Milano: Mc Graw-Hill; 2009. -Jefferson T. Come leggere uno studio controllato randomizzato. 2nd ed. Roma: Il Pensiero Scientifico Editore; 2012. -Guidelines for Obstetrics and Gynecology. -Selected scientific papers.
Educational objectives	By the end of the course students should be able to: -describe evidences meaning and importance for clinical decision-making; -analyze critically and employ some support tools for decision making (procedures, protocols, guidelines, consensus conferences documents); -formulate foreground questions using a structured framework (e.g. PICO); -carry out a searching strategy to find information on a topic in different search engines (MedLine/PubMed and Cochrane Library); -distinguish a systematic review from other types of reviews; -describe the importance of systematic reviews/meta-analyses for clinical decision-making; -describe the components of a search protocol for a systematic review; -interpret a forest plot; -describe the main distinctive features of different study types (in primary research); -assess methodological quality of some study types (in primary research); -plan a simple design of primary research, identifying the main elements and steps.
Teaching methods	The course consists of 30 hours of class teaching during which a combination of lectures, discussions, small group works, in-class and computer-based exercises, and computer demonstrations.
Learning verification modality	The examination includes an optional written exam (test) and a compulsory oral exam. The test, which covers module I, lasts 12 minutes and consists of ten multiple-choice questions, each with four answers and only one correct. Correct answers gain one point, blank answers score zero points, and incorrect answers lose one-quarter point. The lowest passing grade is seven. No grades are assigned (only approved/not approved). If a student chooses not to take the exam or he does not pass the test, the final oral exam cover all three modules. If student pass the test, the oral exam cover modules II and III. Students are required to register in advance for the final oral exam through SOL Servizi On Line according to the general rules of the University of Perugia. The grades for the final exam are measured in thirtieths (0-30 scale), the minimum grade is 18/30 and the maximum grade is 30/30. The maximum grade can be enhanced with "cum laude" (30 cum laude).
Extended program	MODULE I - EVIDENCE BASED MEDICINE (EBM) -Concept of effectiveness, efficiency, appropriateness; -Traditional medicine paradigm; -Birth history, development, meaning and paradigm of EBM; -Evidence Based Public Health (EBPH); -Clinical Governance; -Evidence Based Health Care (EBHC); -Evidence Based Practice (EBP); -Evidence Based Midwifery: -History of Evidence Based Midwifery: -Healthcare professional EBP core-curriculum; -Process clinical decision making: a comparison of models; -Responsibilities of the midwife in the clinical decision-making; -Methods and tools to support process clinical decision making: procedures, protocols, guidelines, consensus conferences documents; -Guidelines: features and quality; -Guidelines International Network (GIN); -National Guidelines System (SNLG); -Systems for grading the quality of evidence and the strength of recommendations. MODULE II - SCIENTIFIC LITERATURE, LITERATURE RESEARCH AND REVIEW, DATABASES -Introduction and approach to scientific literature; -White and grey/gray literature; -Scientific literature search methodology; -Literature review: scanning and searching methods; -Literature searching techniques; -Clinical queries; -Background questions; -Foreground questions; -PICO/PECO and EPICOT models; -Concept of population, sample and outcome; -Primary and secondary sources, primary and secondary databases; -Cochrane Collaboration; -Cochrane Library database; -Medline database; -MeSH thesaurus; -The use of PubMed (basic search; searching for a phrase, searching by a specific field; searching by author and journal title; combining searches using History; combining search terms with Boolean operators; using filters and limits); -Traditional and systematic reviews; -Methodology for drawing up protocols of systematic reviews; -Methodology for writing a final report of a systematic review; -Meta-analyses and forest plot. MODULE III - PRIMARY RESEARCH: TYPES OF STUDY DESIGN -Introduction to quantitative and qualitative research methods; -Analytic and non-analytic studies; -Non-analytic (or descriptive) studies: case reports, case-series, qualitative and surveys (cross-sectional) studies; -Analytic observational studies: case-control and nested case-control studies, cohort studies and analytic cross-sectional studies; -Ethical issues in observational studies; -Experimental studies (randomized controlled trials); -Non-experimental designs; -Quasi-esperimental designs; -Experimental designs; -Ethical issues in experimental studies; -Type of biases; -Reading, interpretation, understanding and assessment of scientific texts; -Methodology to develop projects of scientific research.

MEDICAL STATISTICS

Code	50A00030
CFU	1
Teacher	Vittorio Bini
Teachers	Vittorio Bini
Hours	15 ore - Vittorio Bini
Learning activities	Base
Area	Scienze propedeutiche
Academic discipline	MED/01
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	1) La statistica finalità e definizioni 2) Tipi e scale di misura 3) Misure di sintesi: tendenza centrale, e variabilità 4) Rappresentazione dei dati in grafici e tabelle 5) Distribuzioni teoriche di probabilità 6) Curva normale standardizzata 7) Statistica inferenziale 8) Stime puntuali ed intervallari 9) Test di ipotesi: ipotesi nulla e ipotesi alternativa 10) Test di significatività statistica 11) Tabelle di contingenza 12) Misure di rischio 13) Correlazione e regressione lineare semplice 14) Test diagnostici 15) Analisi critica della letteratura e dei lavori scientifici 16) Database e software statistici
Reference texts	Gli appunti presi a lezione e le diapositive messe a disposizione dal docente. Le diapositive sono sintetiche, non si tratta quindi di materiale esaustivo degli argomenti trattati per i quali si consiglia il seguente testo di riferimento e approfondimento: Statistica per discipline biomediche - Stanton A. Glantz. McGraw Hill Education, 2007. (con CD-ROM). ISBN: 9788838639258
Educational objectives	Conoscere gli elementi essenziali della statistica medica e saper applicare le conoscenzea alla lettura delle pubblicazioni scientifiche (interpretare criticamente il tipo di disegno dello studio e l’analisi statistica, leggere e interpretare tabelle, grafici e risultati dei metodi statistici utilizzati). Acquisizione di competenze minime che possano essere di aiuto nella stesura della tesi di laurea.
Prerequisites	Nessuno
Teaching methods	Lezioni teoriche e pratiche
Other information	Nessuna
Learning verification modality	Esame scritto
Extended program	1) La statistica finalità e definizioni Campione e universo Parametri e stime Disegno dello studio Tipi di studio 2) Tipi e scale di misura Nominali Ordinali Di intervallo Di rapporto 3) Misure di sintesi: tendenza centrale e variabilità Media Mediana Moda Varianza Deviazione standard Range Range interquartile Coefficiente di variazione 4) Rappresentazione dei dati in grafici e tabelle Istogrammi Grafici a barre Stem and leaf plot Dot plot Box and whiskers plot Grafici a torta. 5) Distribuzioni teoriche di probabilità La distribuzione normale 6) Curva normale standardizzata Caratteristiche 7) Statistica inferenziale Distribuzione campionaria della media Teorema del limite centrale 8) Stime puntuali ed intervallari Errore standard Limiti di confidenza 9) Test di ipotesi: ipotesi nulla e ipotesi alternativa Formulazione dell’ipotesi Criterio di decisione Errore statistico di 1° e di 2° tipo; Potenza del test Dimensione campionaria. 10) Test di significatività statistica Test parametrici per dati indipendenti Test parametrici per dati appaiati Test non parametrici per dati indipendenti Test non parametrici per dati appaiati 11) Tabelle di contingenza Test chi quadrato Correzione di Yates Test esatto di Fisher 12) Misure di rischio Rischio relativo Odds ratio 13) Correlazione e regressione lineare semplice Correlazione tra variabili Coefficiente di correlazione parametrico e non parametrico Retta di regressone e coefficienti di regressione 14) Test diagnostici Sensibilità Specificità Valori predittivi del test Curva ROC 15) Analisi critica della letteratura e dei lavori scientifici Oggetto o ipotesi dello studio Disegno Analisi dei dati Presentazione dei risultati Conclusioni 16) Database e software statistici Come preparare un database Quali software statistici utilizzare Free software e non