ECONOMIC METHODS IN HEALTH TECHNOLOGY ASSESSMENT
2016/2017, Semester 2
Saw Swee Hock School of Public Health (Saw Swee Hock School of Public Health)
Modular Credits: 4
To be able to interpret and determine quality of HTA research conducted by others.
To be able to conduct economic assessments of public health and medical interventions at the basic level.
This module runs every Wednesday at 6pm to 9pm, starting 11 January 2017. The venue is at Saw Swee Hock School of Public Health,
Tahir Foundation Building, NUS-Block MD1, 12 Science Drive 2.
This course aims to provide an applied introduction to Health Technology Assessment (HTA) research in order to enable students to begin conducting their own research and/or to understand research conducted by others. Health econometrics, cost-effectiveness and economic evaluation in healthcare, and conjoint analysis will be covered. Examples of economic analyses that have been used in all stages of HTA research, starting with quantifying economic burden of illness studies, to cost-effectiveness of particular health technologies, to budget impact and pricing will be included. Prior knowledge of basic statistics is recommended.
The course starts with an overview and examples of economic analyses that have been used in all stages of HTA research, starting with quantifying economic burden of illness studies, to cost-effectiveness of particular health technologies, to budget impact and pricing. The course will then transition to coverage of health econometrics, cost-effectiveness and economic evaluation in healthcare, and conjoint Analysis.
The health econometric component will include discussion and applications of commonly used econometric models within HTA, including models for estimating medical expenditures, logistic regression models for estimating binary outcomes, such as the choice of whether or not to undergo a specific procedure, and survival analysis for estimating time dependent transition probabilities, which are often used in Markov modelling.
The cost-effectiveness and economic evaluation component will introduce students to the two main types of decision models used in cost-effectiveness analysis, namely decision trees and Markov models. Methods and practical examples for valuing health outcomes and costs will also be covered.
The component on conjoint analysis will introduce participants to discrete-choice experiment (DCE) methods that investigate: how individuals value different features of a health technology; how pricing affects demand; trade-offs between efficacy versus side-effects; and potential market share as a function of key attributes.
Other specific lectures will focus on DCE survey development, selection of appropriate attributes and levels, experimental design, data analysis, and communicating findings.
Assessment 1- 18%
Assessment 2 - 18%
Assessment 3 - 18%
Group assignment - 30%
Group presentations - 10%
Class participation -6%