Learning objectives
Training and development objectives:
- The goal of the course is to provide the theoretical concepts and tools for analyzing statistical and the definition of indicators for the assessment of the social phenomena and health services.
- In particular, with an interactive teaching based on examples and exercises, it will discuss about the methods to define indicators to analyze in the local context and for evaluating the services and projects and organizational performance
Prerequisites
The examination of "Social Statistics" can only be supported after passing the exams of "Statistics and Methodology of Nursing and Obstetrics Research" and "Epidemiological Methods of Study, Programming and Evaluation of Health Services".
Course unit content
The course aims to provide students with knowledge of theoretical concepts and tools for statistical analysis and the definition of indicators aimed at understanding and evaluating phenomena and social and health services. Thanks to a didactic based on exemplification, the student will develop the ability to apply the concepts learned, using methods for building indicators for citizen demand analysis at local level and for evaluating services and projects. At the end of the course, therefore, the student will be able to use integrated systems of indicators for the assessment of the social and health context.
Full programme
- The first part will cover topics related to:
• Link organizational goals, measurement, evaluation performance
• The measurement of health and social phenomena
• Definition and methodological principles related to social indicators (validity and reliability)
• Indicators and Measurement
• Type of indicators and health services delivery setting
• Multidimensional evaluation and analysis of organizational and individual performance (BSC)
- In the second step will detail the use of the indicators with specific examples (drafting of reports, planning of health activities, evaluation of clinical pathways)
• Hospital Care
• The case studies and analysis of production
• Use and evaluation of Barber and Gandy nomograms
• Territorial Health Care
• Health supply and consumption indicators
• Evaluation of the supply density
• Social Care Area
• Indicators for the evaluation of disability and the care burden
• Area of organizational performance
• Indicators for process evaluation and outcome
• Multidimensional Rating
• Overview of multivariate analysis: factorial analysis, cluster analysis, linear and logistic regression, ROC Curve, Mediation and Moderation.
• Video tutorials on statistical applications (posted on Elly)
Bibliography
GENERAL INDICATIONS (PROVISIONAL TEXTS)
The oral exam which will be based on the topics developed during the course (lecture slides) and one of the following books (list being updated):
Psychometric Area
- Balsamo M. (2017), Elementi di psicometria, McGraw Hill, MIlano
- Chiorri C. (2020), Fondamenti di psicometria, McGraw Hill, MIlano
Performance Evaluation Area
- Baraldi S. (2005), Il Balanced scorecard nelle Aziende sanitarie, McGraw-Hill, Milano, Capp. 5,6,7,8
- Cifalinò A. (2012), Misurazione delle performance aziendali e valutazione della formazione, Angeli, Milano,
Indicators, tests and scales area
- Boncori L. (2006), I test in psicologia. Fondamenti teorici e applicazioni, Il Mulino, Bologna
Multivariate statistical analysis area
- Bohrnsteid G.W., Knoke D. (1994), Statistica per le scienze sociali, Il Mulino, Bologna
- Corbetta P. (1992), Metodi di analisi multivariata per le scienze sociali, Il Mulino, Bologna
- Gallucci M., Leone L, Berlingeri M (2017), Modelli statistici per le scienze sociali, Pearson, Milano
Teaching methods
Frontal and interactive lessons. Exercises. Assignments, Video tutorial on statistical applications
Assessment methods and criteria
Mode: before the oral examination, you must respond to the TEST ON-LINE through the access to the webpage course on the Elly platform. The test is supplementary to the oral examination that will take place on the dates defined by the academic calendar
Other information
Students must attend at least 50% of the lesson hours.
