87421 - ECONOMIC EVALUATION AND HEALTH

Anno Accademico 2018/2019

  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Bologna
  • Corso: Laurea Magistrale in Health economics and management / economia sanitaria e management (cod. 8880)

    Valido anche per Laurea Magistrale in Economia e politica economica (cod. 8420)

Conoscenze e abilità da conseguire

The course aims to introduce students to fundamentals in economic evaluation theory and modeling methodology in healthcare. Students will learn how to structure a medical decision model and how to estimate the incremental cost-effectiveness (ICER) and cost-effectiveness acceptability curves (CEACs), how to interpret results and how to draw policy implications. Students are also trained in critically reviewing HTA-studies, in order to judge their validity and applicability.

Contenuti

Lecture #1 - Welfare economic – Foundations of economic evaluation (CEA/CBA)

The role of welfare economic in the economical evaluation context (cost-effectiveness / cost-benefit analysis). Introduction to efficiency and market failure.

Lecture #2 - Fundamental Concepts & Cost analysis

Covering some fundamental concepts; conditional probability, independence and discrete random variables, continuous random variables and the normal distribution. Cost analysis; what do we mean by cost, classification of cost and cost information sources.

Lecture #3 - Fundamental of economical evaluation 1

CEA: Measuring health benefits in terms of natural units including time (the survival analysis model)

Lecture #4 - Fundamental of economical evaluation 2

QALYs and cost-utility analysis, evaluation of preferences and the utility estimations (standard gambling and the EQ-5D) – Part 1

Lecture #5 - Fundamental of economical evaluation 3

QALYs and cost-utility analysis, evaluation of preferences and the utility estimations (standard gambling and the EQ-5D) – Part 2

Lecture #6 - Fundamental of modeling in health care 1

Excel class 1: The Fundamentals and development of decision tress modeling

Lecture #7 - Fundamental of modeling in health care 2

Fundamentals and development of sensitivity analysis

Lecture #8 - Fundamental of modeling in health care 3

Excel class 2: Fundamentals and development of Markov model 1

Lecture #9 - Fundamental of modeling in health care 3

Excel class 3: Development of Markov model 2

Lecture #10 - Sum-up & questions session

Metodi didattici

The course will use a combination of readings, interactive lectures, and case discussions. Classes are conducted according to the case method of instruction (During the course, students will work with simulated data sets from published studies. These will be used to the development of the decision trees and Markov models).

Published papers on different topics in economical evaluation and modeling in healthcare will be assigned to student which they have to present during the last 30 min of the lecture

Modalità di verifica e valutazione dell'apprendimento

Grading will be based on a combination of two written exam and case presentation.

The grading percentages to be assigned later.

Orario di ricevimento

Consulta il sito web di Abdul Jabbar Omar Alsaleh

SDGs

Salute e benessere

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.