IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v30y2021i8p1950-1977.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.4281
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.4281?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiao, Kun & Yu, Bolin & Cheng, Lei & Li, Fei & Fang, Debin, 2022. "The effects of CCUS combined with renewable energy penetration under the carbon peak by an SD-CGE model: Evidence from China," Applied Energy, Elsevier, vol. 321(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bromley, Hannah L. & Petrie, Dennis & Mann, G.Bruce & Nickson, Carolyn & Rea, Daniel & Roberts, Tracy E., 2019. "Valuing the health states associated with breast cancer screening programmes: A systematic review of economic measures," Social Science & Medicine, Elsevier, vol. 228(C), pages 142-154.
    2. Majmudar, Ishani Kartik & Mihalopoulos, Cathy & Abimanyi-Ochom, Julie & Mohebbi, Mohammadreza & Engel, Lidia, 2024. "The association between loneliness with health service use and quality of life among informal carers in Australia," Social Science & Medicine, Elsevier, vol. 348(C).
    3. Andrew Lloyd & Kim Rand & Cleo Pike & Crispin Ellis, 2024. "Preference-based utility weights for the Individualized Neuromuscular Quality of Life Questionnaire (INQoL), with a focus on non-dystrophic myotonia (NDM)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(8), pages 1461-1469, November.
    4. Svenn Alexander Hansen & Eline Aas & Oddvar Solli, 2020. "A cost-utility analysis of phosphodiesterase type 5 inhibitors in the treatment of erectile dysfunction," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(1), pages 73-84, February.
    5. Stefan A. Lipman & Arthur E. Attema & Matthijs M. Versteegh, 2022. "Correcting for discounting and loss aversion in composite time trade‐off," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1633-1648, August.
    6. Don Husereau & Michael Drummond & Federico Augustovski & Esther Bekker-Grob & Andrew H. Briggs & Chris Carswell & Lisa Caulley & Nathorn Chaiyakunapruk & Dan Greenberg & Elizabeth Loder & Josephine Ma, 2022. "Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022) Statement: Updated Reporting Guidance for Health Economic Evaluations," Applied Health Economics and Health Policy, Springer, vol. 20(2), pages 213-221, March.
    7. Gustav Kjellsson & Dennis Petrie & Tom (T.G.M.) van Ourti, 2018. "Measuring income-related inequalities in risky health prospects," Tinbergen Institute Discussion Papers 18-007/V, Tinbergen Institute.
    8. C. Simone Sutherland & Pollyanna Hudson & Stephen Mitchell & Noman Paracha, 2022. "Systematic Literature Review to Identify Utility Values in Patients with Spinal Muscular Atrophy (SMA) and Their Caregivers," PharmacoEconomics, Springer, vol. 40(1), pages 39-67, April.
    9. Mina Bahrampour & Joshua Byrnes & Richard Norman & Paul A. Scuffham & Martin Downes, 2020. "Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 983-992, September.
    10. Myles-Jay Linton & Paul Mark Mitchell & Hareth Al-Janabi & Michael Schlander & Jeff Richardson & Angelo Iezzi & Jasper Ubels & Joanna Coast, 2020. "Comparing the German Translation of the ICECAP-A Capability Wellbeing Measure to the Original English Version: Psychometric Properties across Healthy Samples and Seven Health Condition Groups," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(3), pages 651-673, July.
    11. Joseph Kwon & Sung Wook Kim & Wendy J. Ungar & Kate Tsiplova & Jason Madan & Stavros Petrou, 2018. "A Systematic Review and Meta-analysis of Childhood Health Utilities," Medical Decision Making, , vol. 38(3), pages 277-305, April.
    12. Rodríguez-Míguez, E. & Abellán-Perpiñán, J.M. & Alvarez, X.C. & González, X.M. & Sampayo, A.R., 2016. "The DEP-6D, a new preference-based measure to assess health states of dependency," Social Science & Medicine, Elsevier, vol. 153(C), pages 210-219.
    13. Paul Allanson & Dennis Petrie, 2021. "A unified framework to account for selective mortality in lifecycle analyses of the social gradient in health," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2230-2245, September.
    14. Christine McDonough & Anna Tosteson, 2007. "Measuring Preferences for Cost-Utility Analysis," PharmacoEconomics, Springer, vol. 25(2), pages 93-106, February.
    15. Fan Yang & Titus Lau & Evan Lee & A. Vathsala & Kee Chia & Nan Luo, 2015. "Comparison of the preference-based EQ-5D-5L and SF-6D in patients with end-stage renal disease (ESRD)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(9), pages 1019-1026, December.
    16. Hui Shao & Shuang Yang & Vivian Fonseca & Charles Stoecker & Lizheng Shi, 2019. "Estimating Quality of Life Decrements Due to Diabetes Complications in the United States: The Health Utility Index (HUI) Diabetes Complication Equation," PharmacoEconomics, Springer, vol. 37(7), pages 921-929, July.
    17. Paul Mark Mitchell & Samantha Husbands & Sarah Byford & Philip Kinghorn & Cara Bailey & Tim J. Peters & Joanna Coast, 2021. "Challenges in developing capability measures for children and young people for use in the economic evaluation of health and care interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 1990-2003, September.
    18. Chiranjeev Sanyal & Don Husereau, 2020. "Systematic Review of Economic Evaluations of Services Provided by Community Pharmacists," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 375-392, June.
    19. Ryuichi Ohta & Yoshinori Ryu & Daisuke Kataoka & Chiaki Sano, 2021. "Effectiveness and Challenges in Local Self-Governance: Multifunctional Autonomy in Japan," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    20. Francesca Cornaglia & Naomi E. Feldman & Andrew Leigh, 2014. "Crime and Mental Well-Being," Journal of Human Resources, University of Wisconsin Press, vol. 49(1), pages 110-140.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:30:y:2021:i:8:p:1950-1977. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.