THE FIRST INDONESIAN HEALTH-RELATED QUALITY OF LIFE VALUATION STUDY- AN EQ-5D-5L VALUE SET
Author(s)
Purba FD1, Hunfeld J1, Iskandarsyah A2, Fitriana TS3, Sadarjoen SS2, Passchier J4, van Busschbach J1
1Erasmus MC, Rotterdam, The Netherlands, 2Padjadjaran University, Jatinangor, Indonesia, 3YARSI University, Jakarta, Indonesia, 4VU University, Amsterdam, The Netherlands
OBJECTIVES: Indonesia has no previous value set of EQ-5D-3L or EQ-5D-5L. The objective of this study is to obtain social preferences and derive a value set from Indonesian general population using the EQ-5D-5L questionnaire. METHODS: A representative sample aged over 17 years old was recruited from Indonesian general population. We used multistage stratified quota method with respect to place of living, gender, age, level of education. Religion and ethnicity were determined from the sample level. Two elicitation techniques, the composite time trade-off (C-TTO) and discrete choice experiments (DCE), were applied. Interviews done by trained interviewers using computer-assisted face-to-face interviews in an EQ Valuation Technology (EQ-VT) software provided by EuroQoL Group. To estimate the potential value sets, a hybrid regression model combining C-TTO and DCE data composite time trade-off and discrete choice data was used. The comparison between the models was performed using the criteria of logical consistency, goodness of fit, and parsimony. RESULTS: From 1056 participants who completed the interview, 2 met criteria that excluded them from the primary analyses. The characteristics of remaining 1054 respondents were very similar to those of the Indonesian population. Descriptive analysis showed that anxiety/depression and pain/discomfort are the two dimensions with most reported health problems. In the value set, values are ranged from -0.8506 for health state 55555 to 0,9426 for health state 11112. Mobility dimension affects most quality of life utility values, while Pain and Discomfort the least. Comparisons with healthy states values in other countries, and associations with demographic characteristics will be presented. CONCLUSIONS: This is the first value set of the EQ-5D-5L for Indonesia, and Indonesian preference on health states. We expect our survey to promote and facilitate research on health economic evaluations in Indonesia.
Conference/Value in Health Info
2016-09, ISPOR Asia Pacific 2016, Singapore
Value in Health, Vol. 19, No. 7 (November 2016)
Code
PHP35
Topic
Economic Evaluation
Topic Subcategory
Cost/Cost of Illness/Resource Use Studies
Disease
Geriatrics, Multiple Diseases, Reproductive and Sexual Health