The Indonesian EQ-5D-5L Value Set.

Autor: Purba FD; Section Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus MC University Medical Center, Wytemaweg 80, Room Na-2019, 3015 CN, Rotterdam, The Netherlands. f.purba@erasmusmc.nl.; Department of Developmental Psychology, Faculty of Psychology, Padjadjaran University, Jatinangor, Indonesia. f.purba@erasmusmc.nl., Hunfeld JAM; Section Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus MC University Medical Center, Wytemaweg 80, Room Na-2019, 3015 CN, Rotterdam, The Netherlands., Iskandarsyah A; Department of Clinical Psychology, Faculty of Psychology, Padjadjaran University, Jatinangor, Indonesia., Fitriana TS; Center of Applied Psychometrics, Faculty of Psychology, YARSI University, Jakarta, Indonesia., Sadarjoen SS; Department of Clinical Psychology, Faculty of Psychology, Padjadjaran University, Jatinangor, Indonesia., Ramos-Goñi JM; Executive Office, EuroQol Research Foundation, Rotterdam, The Netherlands., Passchier J; Department of Clinical, Neuro and Developmental Psychology, VU University, Amsterdam, The Netherlands., Busschbach JJV; Section Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus MC University Medical Center, Wytemaweg 80, Room Na-2019, 3015 CN, Rotterdam, The Netherlands.
Jazyk: angličtina
Zdroj: PharmacoEconomics [Pharmacoeconomics] 2017 Nov; Vol. 35 (11), pp. 1153-1165.
DOI: 10.1007/s40273-017-0538-9
Abstrakt: Background: The EQ-5D is one of the most used generic health-related quality-of-life (HRQOL) instruments worldwide. To make the EQ-5D suitable for use in economic evaluations, a societal-based value set is needed. Indonesia does not have such a value set.
Objective: The aim of this study was to derive an EQ-5D-5L value set from the Indonesian general population.
Methods: A representative sample aged 17 years and over was recruited from the Indonesian general population. A multi-stage stratified quota method with respect to residence, gender, age, level of education, religion and ethnicity was utilized. Two elicitation techniques, the composite time trade-off (C-TTO) and discrete choice experiments (DCE) were applied. Interviews were undertaken by trained interviewers using computer-assisted face-to-face interviews with the EuroQol Valuation Technology (EQ-VT) platform. To estimate the value set, a hybrid regression model combining C-TTO and DCE data was used.
Results: A total of 1054 respondents who completed the interview formed the sample for the analysis. Their characteristics were similar to those of the Indonesian population. Most self-reported health problems were observed in the pain/discomfort dimension (39.66%) and least in the self-care dimension (1.89%). In the value set, the maximum value was 1.000 for full health (health state '11111') followed by the health state '11112' with value 0.921. The minimum value was -0.865 for the worst state ('55555'). Preference values were most affected by mobility and least by pain/discomfort.
Conclusions: We now have a representative EQ-5D-5L value set for Indonesia. We expect our results will promote and facilitate health economic evaluations and HRQOL research in Indonesia.
Databáze: MEDLINE