Health Economics

Educational objectives

The course aims to develop interdisciplinary Hygiene and Epidemiology skills needed by health economists, including knowledge of health systems, Evidence-Based Medicine, health promotion, Clinical Governance principles, and methods for assessing the appropriateness and performance of health policies and interventions.

Educational objectives

Students will be familiar with the fundamental principles of statistical inference and modelling of risk with different study designs encountered in Health Economics. Students will also know which statistical models are most appropriate in different situations.

Educational objectives

Students will understand the economic theory of health and healthcare, including models of demand and supply of health and health care, demand for insurance, health and healthcare policy. The emphasis will be on key economic concepts that health economists use to analyse health and healthcare markets. The students will also learn to interpret empirical findings in health economics and health policy.

Educational objectives

Knowledge and understanding: By the end of the course, students will have the basic knowledge of microeconomics and macroeconomics necessary to proceed to more advanced economics courses of the Master’s program. They will grasp the logic of economic choices when resources are limited.
Applying knowledge and understanding: Students will be able to apply the economic reasoning to individual decisions, business strategies, and the formulation of economic policies by countries.
Making judgement: Students will have the ability to critically evaluate relevant trade-offs in economic decisions.
Communication skills: Students will have the ability to clearly communicate the motivations behind economic choices.
Learning skills: Students will be able to apply economic reasoning to topics in economics and economic policy.

Educational objectives

The course aims to provide students with the knowledge and methodological foundations needed to understand and analyse the main data sources used in health and social sciences, including administrative databases, electronic health records, and survey data. It also aims to introduce the principles of modern statistical learning methods, with particular emphasis on regularized regression, generalized additive models, tree-based methods, and model validation techniques.

Educational objectives

Students will be able to understand the theoretical background of the pharmacoeconomics evaluation techniques, in the fields of Biopharmaceutical Industry, with particular regard to cost-minimization analysis, cost-effectiveness analysis, cost-utility analysis and cost-benefit analysis.

Educational objectives

The educational regulations 270 provide, within each Degree Program, a specific number of credits to be allocated to "student's elective activities." The number of credits provided for this course is 12. These activities consist of exams related to modules offered in the Master's Degree programs of the Faculty or other Faculties at Sapienza.

Educational objectives

Students will learn the role of public health and health sector in the economic development of countries; they will be able to understand the relevance of health in the human capital accumulation process and therefore in the process of economic and social growth; They will also be able to understand the role of the health sector in a globalized world where the international circulation of goods, services and people is at the same time a challenge and an opportunity for the populations.

Educational objectives

Students will understand the concepts of Performance, Performance Cycle, Performance Tree and Performance indicators in healthcare organizations. Students will also understand the meaning and the appropriate use of the main methods and indicators for monitoring the health of the population and the activities of the health services.

Educational objectives

Students will learn the fundamental methodologies and approaches used in policy evaluation, focusing on economic questions and data analysis. The course will cover essential analytical tools, including linear and nonlinear regression models, randomized control trials, and the instrumental variable approach. Furthermore, the course will cover more advanced policy evaluation methods, such as the regression discontinuity design, the difference-in-differences approach, and Machine Learning for causal inference. The emphasis will be on understanding the strengths and limitations of each method in evaluating policies.

Educational objectives

The educational regulations 270 provide, within each Degree Program, a specific number of credits to be allocated to "student's elective activities." The number of credits provided for this course is 12. These activities consist of exams related to modules offered in the Master's Degree programs of the Faculty or other Faculties at Sapienza.

Educational objectives

This course aims to introduce students to the most significant aspects of the right to health, by examining both supranational and national regulations that shape modern healthcare systems. Furthermore, the course provides a thorough understanding of the institutional framework underpinning contemporary healthcare systems.

Educational objectives

The final examination consists of the preparation and discussion of a thesis, written in English, on a specific research topic, developed in an original and in-depth manner by the student under the guidance of one or more lecturers.
The final examination may make use of internships (or apprenticeships/placements) at public and private bodies, institutions, and companies, whether national or supranational, in the healthcare sector.