EQ-5D-5L population norms for Singapore: a household survey-based analysis.

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Title: EQ-5D-5L population norms for Singapore: a household survey-based analysis.
Authors: Xiamusiya A; Department of Learning Informatics, Management and Ethics Medical Management Centre, Karolinska Institutet, Stockholm, Sweden.; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore., Lee JJ; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore., Shou Y; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.; Lloyd's Register Foundation Institute for the Public Understanding of Risk National University of Singapore, Institute of Mental Health, Singapore, Singapore.; School of Medicine and Psychology, Australian National University, Canberra, Australia., Hao S; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden., Subramaniam M; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.; Research Division, Institute of Mental Health, Singapore, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore., Cheng LJ; National Perinatal Epidemiology Unit, Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK. cheng.lingjie@nus.edu.sg.; Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine National University of Singapore, Singapore, Singapore. cheng.lingjie@nus.edu.sg., Luo N; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Source: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation [Qual Life Res] 2026 Jun 06; Vol. 35 (7). Date of Electronic Publication: 2026 Jun 06.
Publication Type: Journal Article
Journal Info: Publisher: Springer Netherlands Country of Publication: Netherlands NLM ID: 9210257 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2649 (Electronic) Linking ISSN: 09629343 NLM ISO Abbreviation: Qual Life Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-2649
DOI:10.1007/s11136-026-04272-2