Details

Autor(en) / Beteiligte

• Yang, Zhihao
• Purba, Fredrick Dermawan
• Shafie, Asrul Akmal
• Igarashi, Ataru
• Wong, Eliza Lai-Yi
• Lam, Hilton
• Van Minh, Hoang
• Lin, Hsiang-Wen
• Ahn, Jeonghoon
• Pattanaphesaj, Juntana
• Jo, Min-Woo
• Mai, Vu Quynh
• Busschbach, Jan
• Luo, Nan
• Jiang, Jie

Titel

Do health preferences differ among Asian populations? A comparison of EQ-5D-5L discrete choice experiments data from 11 Asian studies

Ist Teil von

• Quality of life research, 2022-07, Vol.31 (7), p.2175-2187

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2022

Link zum Volltext

Quelle

EBSCOhost Psychology and Behavioral Sciences Collection

Beschreibungen/Notizen

• Introduction Many countries have established their own EQ-5D value sets proceeding on the basis that health preferences differ among countries/populations. So far, published studies focused on comparing value set using TTO data. This study aims to compare the health preferences among 11 Asian populations using the DCE data collected in their EQ-5D-5L valuation studies. Methods In the EQ-VT protocol, 196 pairs of EQ-5D-5L health states were valued by a general population sample using DCE method for all studies. DCE data were obtained from the study PI. To understand how the health preferences are different/similar with each other, the following analyses were done: (1) the statistical difference between the coefficients; (2) the relative importance of the five EQ-5D dimensions; (3) the relative importance of the response levels. Results The number of statistically differed coefficients between two studies ranged from 2 to 16 (mean: 9.3), out of 20 main effects coefficients. For the relative importance, there is not a universal preference pattern that fits all studies, but with some common characteristics, e.g. mobility is considered the most important; the relative importance of levels are approximately 20% for level 2, 30% for level 3, 70% for level 4 for all studies. Discussion Following a standardized study protocol, there are still considerable differences in the modeling and relative importance results in the EQ-5D-5L DCE data among 11 Asian studies. These findings advocate the use of local value set for calculating health state utility.