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...

全面介紹

Saved in:
書目詳細資料
主要作者: Thakumar, Annushiah Vasan
格式: Thesis
語言:English
出版: 2020
主題:
在線閱讀:http://eprints.usm.my/54974/1/ANNUSHIAH%20AP%20VASAN%20THAKUMAR%20-%20TESIS%20cut.pdf
http://eprints.usm.my/54974/
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結: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.