Valuation Of Eq-5d-5l Study For The Malaysian Population
With the rise of healthcare expenditure, prudent resource allocation decisions become vital and economic evaluations offer valuable information in guiding these decisions. Cost-utility analysis is one such alternative with outcomes measured using quality-adjusted life years (QALYs). QALYs takes i...
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Main Author: | |
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Format: | Thesis |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | http://eprints.usm.my/54974/1/ANNUSHIAH%20AP%20VASAN%20THAKUMAR%20-%20TESIS%20cut.pdf http://eprints.usm.my/54974/ |
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Summary: | With the rise of healthcare expenditure, prudent resource allocation decisions
become vital and economic evaluations offer valuable information in guiding these
decisions. Cost-utility analysis is one such alternative with outcomes measured using
quality-adjusted life years (QALYs). QALYs takes into consideration health
preference weights, with generic preference-based measures (PBMs) being most
commonly used to generate these weights. One of the most widely used instrument todate,
EQ-5D-5L has informed economic evaluation decisions throughout the world.
However, Malaysia has yet to validate the measure and apply it to generate a countryspecific
value set. Therefore, the main objective of this thesis is to estimate a valid EQ-
5D-5L value set for Malaysians. Two focus group discussions (FGDs) were held to
explore the EQ-5D-5L dimensions understanding in Malaysians and investigate
potential dimensions (bolt-ons) that may complement the concept of health. Next,
using 100 conveniently sampled respondents, the influence of these identified bolt-ons
on the current EQ-5D-5L dimensions were tested in a pilot setting in Penang.
Subsequently, employing a cross-sectional multi-stage sampling design, an EQ-5D-5L
nationwide valuation study was carried out by 18 trained interviewers on 1137
Malaysian general population. The psychometric properties of EQ-5D-5L were also
assessed in the process. A variety of modelling methods were fitted onto the valuation
data and performance of these models in predicting health state values were assessed
using robust techniques. |
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