Unit RESEARCH METHODOLOGY IN PHYSIOTHERAPY
- Course
- Physiotherapy
- Study-unit Code
- 50232405
- Curriculum
- In all curricula
- CFU
- 5
- Course Regulation
- Coorte 2022
- Offered
- 2024/25
- Type of study-unit
- Type of learning activities
- Attività formativa integrata
BIOELECTRONIC AND BIOINFORMATIC
Code | 50520202 |
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CFU | 2 |
Teacher | Fortunato Bianconi |
Teachers |
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Hours |
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Learning activities | Caratterizzante |
Area | Scienze interdisciplinari |
Academic discipline | ING-INF/06 |
Type of study-unit |
HYGIENE
Code | 50520201 |
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CFU | 1 |
Teacher | Fabrizio Stracci |
Teachers |
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Hours |
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Learning activities | Caratterizzante |
Area | Scienze della prevenzione dei servizi sanitari |
Academic discipline | MED/42 |
Type of study-unit | |
Language of instruction | Italian |
Contents | Role of public health to ensure effective functioning of health services Planning, execution, and evaluation of health interventions Importance of the evaluation of health interventions Building evaluation systems: scope and selection of indicators Classification and role of preventive interventions |
Reference texts | Barbuti S, Bellelli E, Fara GM, Giammanco G. Igiene e Medicina Preventiva. Monduzzi Ed. Ricciardi W, Angelillo IF, Boccia S, Bruno S, Bucci R e altri. Igiene - Medicina Preventiva, Sanità Pubblica. Idelson-Gnocchi Ed. Signorelli C et al. Igiene - Epidemiologia - Sanita' pubblica - Società ditrice Universo , Roma Oxford Textbook of Global Public Health (7 ed.). Edited by: Roger Detels, Quarraisha Abdool Karim, Fran Baum, Liming Li, and Alastair H Leyland. Oxford University press 2021 |
Educational objectives | Knowledge of health systems organization and funding. Understanding of epidemiologic assessment of the burden of disease. Understanding of classification and role of preventive interventions in disease control. Students will be aware of the fundamental role of public health in the health services Students will be able to collaborate in multidisciplinary teams to plan, execute, and evaluate health interventions and aware of an intersectoral global health approach to disease control and health. Students will be able to build evaluation systems of health interventions based on selected set of indicators |
Prerequisites | Students should have successfully passed the epidemiology test |
Teaching methods | Theoretical lessons Seminars with expert guests |
Other information | |
Learning verification modality | Oral exam. Duration: about 15 minutes. NUmber of questions: 2. One question exploring knowledge of theoretical public health models and classifications. One qustion to explore commpetence about practical application for specific disease control (e.g. evidence-based prevention of large bowel cancer) or sector organization (e.g. organization of primary care). Final grade: arithmetic mean of the integrated modules scores. |
Extended program | Population ageing and prevailing diseases. Impacts on health systems of population aging. The One health and planetary health strategies for global health. The chronic care model. Clinical networks and care pathway. The role of prevention in disease control and health services sustainability. Epidemiology and control of chronic diseases Cancer control Classification of cancer screenings A comparison of organised and opportunistic screening Epidemiology and control of large bowel cancer Epidemiology and control of breast cancer Epidemiology and control of prostate cancer Epidemiology and control of gastric cancer Other malignant tumors Cardiovascular and cerebrovascular diseases The role of public health in effective control of Type 2 diabetes Coronary Heart Disease Stroke Environment and health Soil Drinking water: standards; health risks from infectious, toxic, carcinogenic and mutagenic water contaminants Diet and health Air pollution Indoor pollution Waste Methods to investigate the health outcomes of environmental factors exposure |
Obiettivi Agenda 2030 per lo sviluppo sostenibile |
STATISTICS
Code | 50517102 |
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CFU | 2 |
Teacher | Fabrizio Stracci |
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 | The basis of scientific investigation The role of statistic methods in biomedical research Descriptive statistics Inferential statistics Regression models to analyze relationships between variables |
Reference texts | Primer of biostatistics by Stanton A. Glantz or Principles of Biostatistics by Marcello Pagano, Kimberlee Gauvreau |
Educational objectives | Basic data analysis Understanding of the role of statistics in medicine Critical reading of methods and results in published biomedical research |
Prerequisites | none |
Teaching methods | Theoretical lessons Hands-on exercises |
Other information | |
Learning verification modality | Oral exam. Duration about 15-20 minutes based on two questions. A question will be devoted to explore knowledge of common statistics, the concept of statistical testing and regression models. Another question will investigate competence in the application of simple statistical techniques and critical reading of methods applied in epidemiologic and clinical research. Final grade will be obtained as the arithmetic mean of results of integrated courses. |
Extended program | 1. Introduction 1.1 Statistics definitions and scope 1.2 Statistical methods in medical research 2. Data 2.1 Types of variables 2.2 Tabulation and processing of data 2.3 Diagrams 2.4 Descriptive statistics 2.5 Measures of central tendency 2.6 Measures of variability 3. Probability 3.1 Frequentist definition of probability 3.2 Probability distributions 3.3 The normal or Gaussian distribution 3.4 Probability distributions and applications 4. Populations and samples 4.1 Parameters and their estimation 4.2 Sampling 5. Statistical inference 5.1 Point and interval estimation 5.2 Confidence interval for the sample mean 5.3 Significance testing 5.4 Parametric Hypothesis Tests: Student’s t test and Analysis of Variance 5.5 Confidence interval for the difference between two means 5.6 Non-Parametric Hypothesis Tests: chi-squared test 6. Regression and correlation 6.1 Regression models 6.2 Linear regression 6.2.1 Linear regression equation: parameters estimation using the ordinary least squares method 6.2.2 Tests of significance in regression 6.2.3 Confidence interval for the linear regression coefficient b 6.3 Correlation 6.4 Critical reading of results from multivariable regression models 6.5 Multivariable modeling, an introduction |
Obiettivi Agenda 2030 per lo sviluppo sostenibile |