Teaching code

4S007231

Credits

7

Coordinatore

Simone Accordini

Language

Italian

Moodle Seminars

The teaching is organized as follows:

Learning outcomes

The teaching aims to provide descriptive and inferential statistics fundaments, students will learn to recognize the most frequently study designs used in epidemiology and in the medical literature. The course will also cover the subject of clinical risk and patient safety as well as logics of health management and services planning.
STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH (STATISTICA PER LA RICERCA SPERIMENTALE): Learning outcomes: The course aims at providing the theoretical tools to assess the frequency of diseases in human populations and the associated risk factors, i.e. skills in epidemiology and biostatistics.
At the end of the course the student must demonstrate to have acquired knowledge and skills concerning the main designs of an observational epidemiological study and the statistical methods for the analysis of biomedical data, and to know how to interpret and communicate the results of an analysis in a clear and concise way.
METHODOLOGICAL BASES FOR APPLIED RESEARCH (BASI METODOLOGICHE PER LA RICERCA APPLICATA): Learning outcomes:
The course provides knowledge and methods to analyze the research process (qualitative-quantitative approaches), develop a research protocol, develop the skills necessary to critically appraise or assess the validity and the generalizalibilty of a research article or a clinical practice guideline and trasform a clinical question in one or more research questions.
HYGIENE AND PUBLIC HEALTH (EPIDEMIOLOGIA E SANITA’ PUBBLICA): Learning outcomes:
- Provide students with epidemiological tools for observational studies
- Provide students with the tools to analyze the health needs of the population.
- Provide students with the data collection paths and data evaluation tools
- Provide students with indicators for health planning.

Program

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MM: STATISTICA PER LA RICERCA SPERIMENTALE
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The course is structured in theoretical frontal lessons (30h). The teaching material is made available to the students on the e-learning web page of the course (Moodle platform). DESCRIPTIVE STATISTICS - The measurement process in medicine: measurement scales, validity, precision and accuracy - Statistical variables and frequency distributions - How to summarize the distribution of one or more variables: measures of location and dispersion, contingency tables PROBABILITY THEORY - Definitions of probability - Rules of probability calculation - Independent and conditional probabilities - Random variables - Gauss, Student's T and chi-squared distributions - How to assess the validity of a diagnostic tool: sensitivity and specificity, ROC curves INFERENTIAL STATISTICS - An outline of sampling theory - Sample distribution of an estimator - Confidence interval - The logic of the statistical test: null hypothesis and alternative hypothesis, type I and type II errors, power of a statistical test, p-value, Z test, Student's T test and Pearson's chi-squared test PRINCIPLES OF OBSERVATIONAL EPIDEMIOLOGY: - Definition and objectives of epidemiology - Measures of disease frequency: prevalence, cumulative incidence, incidence rate - Measures of association: attributable risk, relative risk, odds ratio - Design and analysis of an observational epidemiological study: cross-sectional, case-control and cohort designs - Effect modification - Causal interpretation of an empirical association: random variability, systematic variability (selection bias and information bias), confounding
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MM: BASI METODOLOGICHE PER LA RICERCA APPLICATA
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MM: EPIDEMIOLOGIA E SANITA' PUBBLICA
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EVALUATION TOOLS • indicators of the health status of the population (rates, indices, mortality, morbidity, causes of death, causes of illness, avoidable mortality) • population structure indicators (birth rate, aging index, Lexis curve, family composition, population distribution in the area) • indicators of use of healthcare facilities (number and size of hospital facilities in Italy, hospitalization rates, hospital discharge cards, consumption of drugs, number of services and efficiency of facilities) • performance evaluation indicators (Il Programma Nazionale Esiti (PNE); Sistema di Valutazione delle Performance dei Sistemi Sanitari Regionali) PROGRAMMING TOOLS applied to specific problems: • needs assessment • evaluation of resources • tools for analyzing the effectiveness of resource allocation MANAGEMENT OF CLINICAL RISK IN HOSPITAL AND TERRITORIAL CONTEXTS THE POLICY FOR OBJECTIVES AND THE BUDGET MANAGEMENT HISTORY PROCESS

Bibliography

Examination Methods

The final test consists of 3 exams, one for each unit. 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 weighted average over credits of the 3 scores.
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MM: STATISTICA PER LA RICERCA SPERIMENTALE
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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: BASI METODOLOGICHE PER LA RICERCA APPLICATA
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MM: EPIDEMIOLOGIA E SANITA' PUBBLICA
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The final test is a written exam with short answer questions The aim of the test is to verify the knowledge of all the topics discussed. The final evaluation is expressed in thirtieths.