IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v41y2023i10d10.1007_s40273-023-01285-4.html
   My bibliography  Save this article

Catalogues of EQ-5D-3L Health-Related Quality of Life Scores for 199 Chronic Conditions and Health Risks for Use in the UK and the USA

Author

Listed:
  • Michael Falk Hvidberg

    (Slagelse Hospital
    University of York)

  • Mónica Hernández Alava

    (University of Sheffield)

Abstract

Background Health-related quality of life (HRQoL) measures are essential in economic evaluation, but sometimes primary sources are unavailable, and information from secondary sources is required. Existing HRQoL UK/US catalogues are based on earlier diagnosis classification systems, amongst other issues. A recently published Danish catalogue merged EQ-5D-3L data from national health surveys with national registers containing patient information on ICD-10 diagnoses, healthcare activities and socio-demographics. Aims To provide (1) UK/US EQ-5D-3L-based HRQoL utility population catalogues for 199 chronic conditions on the basis of ICD-10 codes and health risks and (2) regression models controlling for age, sex, comorbidities and health risks to enable predictions in other populations. Methods UK and US EQ-5D-3L value sets were applied to the EQ-5D-3L responses of the Danish dataset and modelled using adjusted limited dependent variable mixture models (ALDVMMs). Results Unadjusted mean utilities, percentiles and adjusted disutilities based on two ALDVMMs with different control variables were provided for both countries. Diseases from groups M, G, and F consistently had the smallest utilities and the largest negative disutilities: fibromyalgia (M797), sclerosis (G35), rheumatism (M790), dorsalgia (M54), cerebral palsy (G80-G83), post-traumatic stress disorder (F431), dementia (F00-2), and depression (F32, etc.). Risk factors, including stress, loneliness, and BMI30+, were also associated with lower HRQoL. Conclusions This study provides comprehensive catalogues of UK/US EQ-5D-3L HRQoL utilities. Results are relevant in cost-effectiveness analysis, for NICE submissions, and for comparing and identifying facets of disease burden.

Suggested Citation

  • Michael Falk Hvidberg & Mónica Hernández Alava, 2023. "Catalogues of EQ-5D-3L Health-Related Quality of Life Scores for 199 Chronic Conditions and Health Risks for Use in the UK and the USA," PharmacoEconomics, Springer, vol. 41(10), pages 1287-1388, October.
    • Handle: RePEc:spr:pharme:v:41:y:2023:i:10:d:10.1007_s40273-023-01285-4
    DOI: 10.1007/s40273-023-01285-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40273-023-01285-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40273-023-01285-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brazier, John & Ratcliffe, Julie & Salomon, Joshua & Tsuchiya, Aki, 2016. "Measuring and Valuing Health Benefits for Economic Evaluation," OUP Catalogue, Oxford University Press, edition 2, number 9780198725923, Decembrie.
    2. 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.
    3. Mónica Hernández Alava & Allan Wailoo & Fred Wolfe & Kaleb Michaud, 2014. "A Comparison of Direct and Indirect Methods for the Estimation of Health Utilities from Clinical Outcomes," Medical Decision Making, , vol. 34(7), pages 919-930, October.
    4. 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, Decembrie.
    5. Anirban Basu & Andrea Manca, 2012. "Regression Estimators for Generic Health-Related Quality of Life and Quality-Adjusted Life Years," Medical Decision Making, , vol. 32(1), pages 56-69, January.
    6. Paul Dolan & Claire Gudex & Paul Kind & Alan Williams, 1995. "A social tariff for EuroQol: results from a UK general population survey," Working Papers 138chedp, Centre for Health Economics, University of York.
    7. Monica Hernandez Alava & Allan Wailoo, 2015. "Fitting adjusted limited dependent variable mixture models to EQ-5D," Stata Journal, StataCorp LLC, vol. 15(3), pages 737-750, September.
    Full references (including those not matched with items on IDEAS)

    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. Mona Aghdaee & Bonny Parkinson & Kompal Sinha & Yuanyuan Gu & Rajan Sharma & Emma Olin & Henry Cutler, 2022. "An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1525-1557, August.
    2. Ian M. McCarthy, 2015. "Putting the Patient in Patient Reported Outcomes: A Robust Methodology for Health Outcomes Assessment," Health Economics, John Wiley & Sons, Ltd., vol. 24(12), pages 1588-1603, December.
    3. Tuomas Korhonen & Virpi Sillanpää & Aki Jääskeläinen, 2023. "Anchor practices that guide horizontal performance measurement: an interventionist case study of the financial aspect of new technology implementation in healthcare," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(3), pages 787-816, September.
    4. Ana Sofia Oliveira Gonçalves & Dimitra Panteli & Lars Neeb & Tobias Kurth & Annette Aigner, 2022. "HIT-6 and EQ-5D-5L in patients with migraine: assessment of common latent constructs and development of a mapping algorithm," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(1), pages 47-57, February.
    5. Kailu Wang & Xiaopeng Guo & Siyue Yu & Lu Gao & Zihao Wang & Huijuan Zhu & Bing Xing & Shuyang Zhang & Dong Dong, 2021. "Mapping of the acromegaly quality of life questionnaire to ED-5D-5L index score among patients with acromegaly," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1381-1391, December.
    6. Kobelt, G., 2013. "Health Economics: An Introduction to Economic Evaluation," Monographs, Office of Health Economics, number 000004.
    7. Alexina J. Mason & Manuel Gomes & James Carpenter & Richard Grieve, 2021. "Flexible Bayesian longitudinal models for cost‐effectiveness analyses with informative missing data," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3138-3158, December.
    8. James Love-Koh & Susan Griffin & Edward Kataika & Paul Revill & Sibusiso Sibandze & Simon Walker & Jessica Ochalek & Mark Sculpher & Matthias Arnold, 2019. "Economic analysis for health benefits package design," Working Papers 165cherp, Centre for Health Economics, University of York.
    9. Clara C. Zwack & Milad Haghani & Esther W. Bekker-Grob, 2024. "Research trends in contemporary health economics: a scientometric analysis on collective content of specialty journals," Health Economics Review, Springer, vol. 14(1), pages 1-30, December.
    10. Teresa C. O. Tsui & Kelvin K. W. Chan & Feng Xie & Eleanor M. Pullenayegum, 2024. "Creating a Multiply Imputed Value Set for the EQ-5D-5L in Canada: State-Level Misspecification Terms Are Needed to Characterize Parameter Uncertainty Correctly," Medical Decision Making, , vol. 44(4), pages 405-414, May.
    11. Michał Jakubczyk, 2023. "What if 0 is not equal to 0? Inter-personal health utilities anchoring using the largest health gains," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(7), pages 1217-1233, September.
    12. Fan Yang & Carlos K. H. Wong & Nan Luo & James Piercy & Rebecca Moon & James Jackson, 2019. "Mapping the kidney disease quality of life 36-item short form survey (KDQOL-36) to the EQ-5D-3L and the EQ-5D-5L in patients undergoing dialysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(8), pages 1195-1206, November.
    13. Versteegh, M.M. & Brouwer, W.B.F., 2016. "Patient and general public preferences for health states: A call to reconsider current guidelines," Social Science & Medicine, Elsevier, vol. 165(C), pages 66-74.
    14. Lyttkens, Carl Hampus & Gerdtham, Ulf-G. & Tinghög, Gustav, 2018. "Do We Know What We Are Doing? An Exploratory Study on Swedish Health Economists and the EQ-5D," Working Papers 2018:40, Lund University, Department of Economics.
    15. 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.
    16. Ian Ross & Giulia Greco & Charles Opondo & Zaida Adriano & Rassul Nala & Joe Brown & Robert Dreibelbis & Oliver Cumming, 2022. "Measuring and valuing broader impacts in public health: Development of a sanitation‐related quality of life instrument in Maputo, Mozambique," Health Economics, John Wiley & Sons, Ltd., vol. 31(3), pages 466-480, March.
    17. 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.
    18. Deidda, Manuela & Geue, Claudia & Kreif, Noemi & Dundas, Ruth & McIntosh, Emma, 2019. "A framework for conducting economic evaluations alongside natural experiments," Social Science & Medicine, Elsevier, vol. 220(C), pages 353-361.
    19. Roberta Ara & Tessa Peasgood & Clara Mukuria & Helene Chevrou-Severac & Donna Rowen & Ismail Azzabi-Zouraq & Suzy Paisley & Tracey Young & Ben Hout & John Brazier, 2017. "Sourcing and Using Appropriate Health State Utility Values in Economic Models in Health Care," PharmacoEconomics, Springer, vol. 35(1), pages 7-9, December.
    20. Jing Chen & Carlos K H Wong & Sarah M McGhee & Polly K P Pang & Wai-Cho Yu, 2014. "A Comparison between the EQ-5D and the SF-6D in Patients with Chronic Obstructive Pulmonary Disease (COPD)," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.

    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:spr:pharme:v:41:y:2023:i:10:d:10.1007_s40273-023-01285-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.