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Catalogue of EQ-5D Scores for the United Kingdom

Author

Listed:
  • Patrick W. Sullivan
  • Julia F. Slejko
  • Mark J. Sculpher
  • Vahram Ghushchyan

Abstract

Background . The National Institute for Health and Clinical Excellence (NICE) has issued guidance on cost-effectiveness analyses, suggesting that preference-based health-related quality of life (HRQL) weights or utilities be based on UK community preferences, preferably using the EQ-5D; ideally all analyses would use the same system for deriving HRQL weights, to encourage consistency and comparability across analyses. Development of a catalogue of EQ-5D scores for a range of health conditions based on UK preferences would help achieve many of these goals. Objective . To provide a UK-based catalogue of EQ-5D index scores. Methods . Methods were consistent with the previously published catalogue of EQ-5D scores for the US. Community-based UK preferences were applied to EQ-5D descriptive questionnaire responses in the US-based Medical Expenditure Panel Survey (MEPS). Ordinary least squares (OLS), Tobit, and censored least absolute deviations (CLAD) regression methods were used to estimate the ‘marginal disutility’ of each condition controlling for covariates. Results . Pooled MEPS files (2000-2003) resulted in 79,522 individuals with complete EQ-5D scores. Marginal disutilities for 135 chronic ICD-9 and 100 CCC codes are provided. Unadjusted descriptive statistics including mean, median, 25th and 75th percentiles are also reported. Conclusion . This research provides community-based EQ-5D index scores for a wide variety of chronic conditions that can be used to estimate QALYs in cost-effectiveness analyses in the UK. Although using EQ-5D questionnaire responses from the US-based MEPS is less than ideal, the estimates approximate HRQL guidelines by NICE and provide an easily accessible“off-the-shelf†resource for cost-effectiveness and publichealth applications.

Suggested Citation

  • Patrick W. Sullivan & Julia F. Slejko & Mark J. Sculpher & Vahram Ghushchyan, 2011. "Catalogue of EQ-5D Scores for the United Kingdom," Medical Decision Making, , vol. 31(6), pages 800-804, November.
    • Handle: RePEc:sae:medema:v:31:y:2011:i:6:p:800-804
    DOI: 10.1177/0272989X11401031
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    1. Carolina Rosadas & Tatiane Assone & Marina Yamashita & Adine Adonis & Marzia Puccioni-Sohler & Marisa Santos & Arthur Paiva & Jorge Casseb & Augusto C P Oliveira & Graham P Taylor, 2020. "Health state utility values in people living with HTLV-1 and in patients with HAM/TSP: The impact of a neglected disease on the quality of life," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 14(10), pages 1-14, October.
    2. Abbygail Jaccard & Lise Retat & Martin Brown & Laura Webber & Zaid Chalabi, 2018. "Global Sensitivity Analysis of a Model Simulating an Individual’s Health State through Their Lifetime APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 122-133.
    3. A C Bouman & A J ten Cate-Hoek & B L T Ramaekers & M A Joore, 2015. "Sample Size Estimation for Non-Inferiority Trials: Frequentist Approach versus Decision Theory Approach," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-14, June.
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    6. Xue Li & Vicki C Tse & Wallis C Y Lau & Bernard M Y Cheung & Gregory Y H Lip & Ian C K Wong & Esther W Chan, 2016. "Cost-Effectiveness of Apixaban versus Warfarin in Chinese Patients with Non-Valvular Atrial Fibrillation: A Real-Life and Modelling Analyses," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-15, June.
    7. Biddle, Louise & Miners, Alec & Bozorgmehr, Kayvan, 2019. "Cost-utility of screening for depression among asylum seekers: a modelling study in Germany," Health Policy, Elsevier, vol. 123(9), pages 873-881.
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