Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2016/2017
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3° Year activated in the A.Y. 2017/2018
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Evidence-based obstetrics (2017/2018)
The teaching is organized as follows:
Learning outcomes
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MM: STATISTICA MEDICA ED EPIDEMIOLOGIA CLINICA
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The aim of the course "Medical statistics and clinical epidemiology" is to provide the theoretical and practical tools for assessing the frequency of diseases in human populations and the associated risk factors. The course therefore aims to provide expertise in epidemiology and bio-statistics. At the end of the course, the student must demonstrate to have understood the basic bio-statistical methods applied to epidemiology and the elements of an epidemiological study.
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MM: METODOLOGIA DELL'ASSISTENZA OSTETRICA BASATA SULLE EVIDENZE
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The student, at the end of the course, will be able to ask himself questions about obstetric care and will know how to look for scientific evidences and translate them in Evidence Based Practices, in relation to the operational contest and to the professional experience.
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MM: INFORMATICA APPLICATA ALLA RICERCA DELLA LETTERATURA
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The object is to make the user autonomous in using the main medical search engines and to use the main softwares to be able to do simple statistic calcs
Program
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MM: STATISTICA MEDICA ED EPIDEMIOLOGIA CLINICA
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The course is structured in theoretical frontal lessons (24h). 1) Medicine, scientific research and statistics 2) The measurement process in medicine: measurement scales, validity, precision and accuracy 3) Statistical variables and frequency distributions 4) How to summarize the distribution of one or more variables (measures of location and dispersion, contingency tables and correlation) 5) An introduction to probability theory 6) From the sample to the population: the principles of statistical inference (confidence intervals and tests) 7) How to organize an epidemiological study and what is measured 8) How to assess the validity of a diagnostic tool 9) How to measure the frequency of diseases in human populations (incidence and prevalence) 10) How to measure the association between a risk factor and a disease (relative risk, attributable risk, odds ratio)
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MM: METODOLOGIA DELL'ASSISTENZA OSTETRICA BASATA SULLE EVIDENZE
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Nursing Diagnosis / midwives The clinical governance Introduction to research and research process Research Planning The evidence-based practice Formulation of hypotheses and research questions Search of clinically relevant scientific evidence of research studies Drawings Evaluation of evidence evidence-based approach Research stages: Framing the questions systematic search for evidence: primary and secondary publications critical evaluation of the evidence gathered back to the patient, integrating evidence with our experience, the organizational context and the patient's attendance the design of clinical research studies: observational studies experimental studies Systematic reviews and meta-analysis diagnostic validity studies Research on the Internet: Major Search Engines computer labs with guided practical application of the theories acquired
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MM: INFORMATICA APPLICATA ALLA RICERCA DELLA LETTERATURA
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what is evidence based medicine where to search bibliografy Pubmed Cochrane exercises spreadsheet - basic spreadsheet - advanced exercises
Bibliography
Author | Title | Publishing house | Year | ISBN | Notes |
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Lantieri PB, Risso D, Ravera G | Elementi di Statistica Medica | McGraw-Hill | 2007 | ||
Jekel JF, Katz DL, Elmore JG, Wild DMG | Epidemiologia, Biostatistica e Medicina Preventiva | Elsevier-Masson | 2009 | ||
Verlato G, Zanolin ME | Esercizi di Statistica Medica, Informatica ed Epidemiologia | Libreria Cortina Editrice, Verona | 2000 | ||
Lo Biondo-Wood G, Haber J. | Metodologia della ricerca infermieristica. | Ed. Mc Graw Hill, Milano | 2003 | ||
Fowler J, Jarvis P, Chevannes M | Statistica per le Professioni Sanitarie | EdiSES srl, Napoli | 2006 | ||
Materiale didattico | Appunti delle lezioni | 2021 | |||
DISPENSA DELLE LEZIONI | dISPENSA delle lezioni forniti dal docente. | 2020 |
Examination Methods
The final test consists of 3 exams, one for each module. To pass the final test, the student must get a score of not less than 18/30 in each exam. The final mark (in thirtieths) is the average of two scores.
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MM: STATISTICA MEDICA ED EPIDEMIOLOGIA CLINICA
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The final test is a written exam with short answer questions and multiple choice questions. The aim of the test is to verify the knowledge of all the topics discussed. The final evaluation is expressed in thirtieths.
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MM: METODOLOGIA DELL'ASSISTENZA OSTETRICA BASATA SULLE EVIDENZE
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written and verbal
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MM: INFORMATICA APPLICATA ALLA RICERCA DELLA LETTERATURA
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using a computer the student must: - search articles and send them via mail - calculate simple statistics inside a spreadsheet