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Population norms for quality adjusted life years for the United States of America, China, the United Kingdom and Australia

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  • Andrew J. Palmer
  • Julie A. Campbell
  • Barbara de Graaff
  • Nancy Devlin
  • Hasnat Ahmad
  • Philip M Clarke
  • Mingsheng Chen
  • Lei Si

Abstract

Health economics uses quality adjusted life years (QALYs) to help healthcare decision makers. However, unlike life expectancy for which age‐ and sex‐dependent national life tables are available, no general population norms exist to use as a benchmark against which to compare observed or modeled projections of QALYs in sub‐populations or patients. We developed a 2‐state Markov model to generate QALY population norms for the USA, UK, China and Australia. Annual age‐ and sex‐specific probabilities of all‐cause mortality were taken from life tables combined with general population country‐specific age‐ and sex‐specific health state utilities for the EQ‐5D‐3L (all countries); and SF‐6D (Australia) multi‐attribute utility instruments (MAUI). To validate our QALY benchmark model we found that the model closely predicted population life expectancies. Using EQ‐5D‐3L, undiscounted QALYs for males/females aged 18 years ranged 54.62/58.90 (USA), 55.55/60.21 (China), 57.11/60.16 (Australia), and 58.01/61.43 (UK) years. SF‐6D benchmark QALYs for Australia were consistently lower than those generated from the EQ‐5D‐3L. The gap in undiscounted QALYs between the UK (highest) and the USA (lowest) was 2.53 QALYs in women and 3.39 QALYs in men aged 18 years. Our model's QALY population norms can be used for internal validation of future health economic models for the country‐specific value sets for the instruments that we adopted, and when quantifying burden of disease in terms of QALYs lost due to illness compared to the general population. We have created a publicly available repository to continuously include QALY benchmarks that use country‐specific value sets for other MAUIs and life expectancies.

Suggested Citation

  • Andrew J. Palmer & Julie A. Campbell & Barbara de Graaff & Nancy Devlin & Hasnat Ahmad & Philip M Clarke & Mingsheng Chen & Lei Si, 2021. "Population norms for quality adjusted life years for the United States of America, China, the United Kingdom and Australia," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1950-1977, August.
    • Handle: RePEc:wly:hlthec:v:30:y:2021:i:8:p:1950-1977
    DOI: 10.1002/hec.4281
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    1. Patrick W. Sullivan & Vahram Ghushchyan, 2006. "Preference-Based EQ-5D Index Scores for Chronic Conditions in the United States," Medical Decision Making, , vol. 26(4), pages 410-420, July.
    2. Jeff Richardson & Angelo Iezzi & Munir A. Khan & Gang Chen & Aimee Maxwell, 2016. "Measuring the Sensitivity and Construct Validity of 6 Utility Instruments in 7 Disease Areas," Medical Decision Making, , vol. 36(2), pages 147-159, February.
    3. William C. N. Dunlop & Nicola Mason & James Kenworthy & Ron L. Akehurst, 2017. "Benefits, Challenges and Potential Strategies of Open Source Health Economic Models," PharmacoEconomics, Springer, vol. 35(1), pages 125-128, January.
    4. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    5. David M. Eddy & William Hollingworth & J. Jaime Caro & Joel Tsevat & Kathryn M. McDonald & John B. Wong, 2012. "Model Transparency and Validation," Medical Decision Making, , vol. 32(5), pages 733-743, September.
    6. Shankar Prinja & Laura E. Downey & Vijay K. Gauba & Soumya Swaminathan, 2018. "Health Technology Assessment for Policy Making in India: Current Scenario and Way Forward," PharmacoEconomics - Open, Springer, vol. 2(1), pages 1-3, March.
    7. Imai, Kosuke & Soneji, Samir, 2007. "On the Estimation of Disability-Free Life Expectancy: Sullivan's Method and Its Extension," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1199-1211, December.
    8. Matthijs M. Versteegh & Isaac Corro Ramos & Nasuh C. Buyukkaramikli & Amir Ansaripour & Vivian T. Reckers-Droog & Werner B. F. Brouwer, 2019. "Severity-Adjusted Probability of Being Cost Effective," PharmacoEconomics, Springer, vol. 37(9), pages 1155-1163, September.
    9. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
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