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EQ-5D-3L Derived Population Norms for Health Related Quality of Life in Sri Lanka

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  • Sanjeewa Kularatna
  • Jennifer A Whitty
  • Newell W Johnson
  • Ruwan Jayasinghe
  • Paul A Scuffham

Abstract

Background: Health Related Quality of Life (HRQoL) is an important outcome measure in health economic evaluation that guides health resource allocations. Population norms for HRQoL are an essential ingredient in health economics and in the evaluation of population health. The aim of this study was to produce EQ-5D-3L-derived population norms for Sri Lanka. Method: A population sample (n = 780) was selected from four districts of Sri Lanka. A stratified cluster sampling approach with probability proportionate to size was employed. Twenty six clusters of 30 participants each were selected; each participant completed the EQ-5D-3L in a face-to-face interview. Utility weights for their EQ-5D-3L health states were assigned using the Sri Lankan EQ-5D-3L algorithm. The population norms are reported by age and socio-economic variables. Results: The EQ-5D-3L was completed by 736 people, representing a 94% response rate. Sixty per cent of the sample reported being in full health. The percentage of people responding to any problems in the five EQ-5D-3L dimensions increased with age. The mean EQ-5D-3L weight was 0.85 (SD 0.008; 95%CI 0.84-0.87). The mean EQ-5D-3L weight was significantly associated with age, housing type, disease experience and religiosity. People above 70 years of age were 7.5 times more likely to report mobility problems and 3.7 times more likely to report pain/discomfort than those aged 18-29 years. Those with a tertiary education were five times less likely to report any HRQoL problems than those without a tertiary education. A person living in a shanty was 4.3 more likely to have problems in usual activities than a person living in a single house. Conclusion: The population norms in Sri Lanka vary with socio-demographic characteristics. The socioeconomically disadvantaged have a lower HRQoL. The trends of population norms observed in this lower middle income country were generally similar to those previously reported in high income countries.

Suggested Citation

  • Sanjeewa Kularatna & Jennifer A Whitty & Newell W Johnson & Ruwan Jayasinghe & Paul A Scuffham, 2014. "EQ-5D-3L Derived Population Norms for Health Related Quality of Life in Sri Lanka," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-12, November.
    • Handle: RePEc:plo:pone00:0108434
    DOI: 10.1371/journal.pone.0108434
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    References listed on IDEAS

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    1. Claire Gudex, 1994. "Time trade-off user manual: props and self-completion methods," Working Papers 020cheop, Centre for Health Economics, University of York.
    2. Kind, Paul & Hardman, Geoff & Leese, Brenda, 2005. "Measuring health status: information for primary care decision making," Health Policy, Elsevier, vol. 71(3), pages 303-313, March.
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    Cited by:

    1. Weiwei Ping & Jianzhong Zheng & Xiaohong Niu & Chongzheng Guo & Jinfang Zhang & Hui Yang & Yan Shi, 2020. "Evaluation of health-related quality of life using EQ-5D in China during the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-12, June.
    2. Henry Bailey & Mathieu F Janssen & Althea La Foucade & Paul Kind, 2019. "EQ-5D-5L population norms and health inequalities for Trinidad and Tobago," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
    3. Ole Marten & Brendan Mulhern & Nick Bansback & Aki Tsuchiya, 2020. "Implausible States: Prevalence of EQ-5D-5L States in the General Population and Its Effect on Health State Valuation," Medical Decision Making, , vol. 40(6), pages 735-745, August.

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