Your browser doesn't support javascript.
loading
Do health preferences differ among Asian populations? A comparison of EQ-5D-5L discrete choice experiments data from 11 Asian studies.
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.
Afiliação
  • Yang Z; Health Services Management Department, Guizhou Medical University, Guiyang, China.
  • Purba FD; Faculty of Psychology, Universitas Padjadjaran, Jatinangor, Indonesia.
  • Shafie AA; School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia.
  • Igarashi A; Department of Drug Policy and Management, Faculty of Psychology, Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo, Japan.
  • Wong EL; Centre for Health Systems and Policy Research, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Lam H; Institute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila, Manila, Philippines.
  • Van Minh H; Center for Population Health Sciences, Haoni University of Public Health, Hanoi, Vietnam.
  • Lin HW; School of Pharmacy and Graduate Institute, China Medical University, Taichung, Taiwan.
  • Ahn J; Department of Health Convergence, Ewha Womans University, Seoul, South Korea.
  • Pattanaphesaj J; Ministry of Public Health, Nonthaburi, Thailand.
  • Jo MW; Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, South Korea.
  • Mai VQ; Center for Population Health Sciences, Haoni University of Public Health, Hanoi, Vietnam.
  • Busschbach J; Department of Psychiatry, Section Medical Psychology and Psychotherapy, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • Luo N; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Jiang J; School of Pharmacy, Jian University, No. 601 Huangpudadaoxi, Guangzhou, China. jiangjie218@126.com.
Qual Life Res ; 31(7): 2175-2187, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35181827
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Nível de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Nível de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article