Unit RESEARCH METHODOLOGY
- Course
- Midwifery
- Study-unit Code
- A000964
- Curriculum
- In all curricula
- CFU
- 7
- Course Regulation
- Coorte 2022
- Offered
- 2022/23
- Type of study-unit
- Type of learning activities
- Attività formativa integrata
GENERAL AND APPLIED HYGIENE
| Code | GP003132 |
|---|---|
| CFU | 2 |
| Teacher | Chiara De Waure |
| Teachers |
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| Hours |
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| Learning activities | Base |
| Area | Scienze propedeutiche |
| Academic discipline | MED/42 |
| Type of study-unit | |
| 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 |
| Other information | |
| Learning verification modality | Oral 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: approaches to the study of health and their applications. 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. Indoor-related risk and foodborne diseases and their prevention. History and development of the Italian national health service. Organization of the Italian health system. |
COMPUTER SCIENCE
| Code | GP003880 |
|---|---|
| CFU | 2 |
| Teacher | Francesco Santini |
| Teachers |
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| Hours |
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| Learning activities | Caratterizzante |
| Area | Scienze interdisciplinari |
| Academic discipline | INF/01 |
| Type of study-unit | |
| 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 For the exam schedule, see: https://unipg.esse3.cineca.it |
| Learning verification modality | The exam project consists in choosing a scientific article through PubMed, and presenting it with a Website, a report in Word, a presentation in Powerpoint, and finally representing data with an Excel sheet. The assignment will be prepared in groups 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 (tags and advanced tags). Page composition and float sections. CSS language. Font, colors, charset. Life Sciences and Biomedical databases (PubMed, etc.). Search for information in PubMed. Introduction to Word and how to prepare a scientific report. Mail merge. Introduction to Powerpoint and how to prepare a presentation. Introduction to Excel and statistical functions. Introduction to R language. (optional) |
MIDWIFERY, NURSING GYNAECOLOGICAL SCIENCES
| Code | 50518804 |
|---|---|
| CFU | 2 |
| Teacher | Eleonora Brillo |
| Teachers |
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| Hours |
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| Learning activities | Caratterizzante |
| Area | Scienze ostetriche |
| Academic discipline | MED/47 |
| Type of study-unit | |
| 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 | Donatella Lanari |
| Teachers |
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| Hours |
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| Learning activities | Base |
| Area | Scienze propedeutiche |
| Academic discipline | MED/01 |
| Type of study-unit | |
| 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) Database e software statistici |
| Reference texts | “Statistica per le professioni sanitarie”, J. Fowler, P. Jarvis, M. Chevannes. Ed. EdiSES Università, Napoli, 2006 Saranno messe a disposizione degli studenti nella piattaforma Unistudium le slides utilizzate a lezione. |
| Educational objectives | |
| Prerequisites | |
| Teaching methods | |
| Other information | |
| Learning verification modality | Prova scritta. Il test prevede domande con risposta vero/falso, domande a risposta multipla e una domanda aperta (es. definizione, commentare una tabella o un grafico ..). |
| 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 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 regressione e coefficienti di regressione 14) Database e software statistici Come preparare un database Quali software statistici utilizzare Free software e non |