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.
    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. 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.
    5. 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.
    6. Monica Hernandez Alava & Allan Wailoo, 2015. "Fitting adjusted limited dependent variable mixture models to EQ-5D," Stata Journal, StataCorp LP, 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. 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.
    4. Kobelt, G., 2013. "Health Economics: An Introduction to Economic Evaluation," Monographs, Office of Health Economics, number 000004.
    5. 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.
    6. 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.
    7. 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.
    8. McCarthy, Ian M., 2016. "Eliminating composite bias in treatment effects estimates: Applications to quality of life assessment," Journal of Health Economics, Elsevier, vol. 50(C), pages 47-58.
    9. Hareth Al-Janabi & Andrea Manca & Joanna Coast, 2017. "Predicting carer health effects for use in economic evaluation," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-18, September.
    10. Joanna M Charles & Deirdre M Harrington & Melanie J Davies & Charlotte L Edwardson & Trish Gorely & Danielle H Bodicoat & Kamlesh Khunti & Lauren B Sherar & Thomas Yates & Rhiannon Tudor Edwards, 2019. "Micro-costing and a cost-consequence analysis of the ‘Girls Active’ programme: A cluster randomised controlled trial," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-17, August.
    11. Stevens, K, 2010. "Valuation of the Child Health Utility Index 9D (CHU9D)," MPRA Paper 29938, University Library of Munich, Germany.
    12. Knott, R. & Lorgelly, P. & Black, N. & Hollingsworth, B., 2016. "Differential item functioning in the EQ-5D: An exploratory analysis using anchoring vignettes," Health, Econometrics and Data Group (HEDG) Working Papers 16/14, HEDG, c/o Department of Economics, University of York.
    13. Brazier, JE & Yang, Y & Tsuchiya, A, 2008. "A review of studies mapping (or cross walking) from non-preference based measures of health to generic preference-based measures," MPRA Paper 29808, University Library of Munich, Germany.
    14. Zhongliang Zhou & Yu Fang & Zhiying Zhou & Dan Li & Dan Wang & Yanli Li & Li Lu & Jianmin Gao & Gang Chen, 2017. "Assessing Income-Related Health Inequality and Horizontal Inequity in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 241-256, May.
    15. Gisela Kobelt & J. Berg & P. Lindgren, 2006. "Costs and quality of life in multiple sclerosis in The Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(02), pages 55-64, July.
    16. Alejandro Arrieta & Timothy F Page & Emir Veledar & Khurram Nasir, 2017. "Economic Evaluation of PCSK9 Inhibitors in Reducing Cardiovascular Risk from Health System and Private Payer Perspectives," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    17. Eliza Lai Yi Wong & Richard Huan Xu & Annie Wai Ling Cheung, 2020. "Health-related quality of life in elderly people with hypertension and the estimation of minimally important difference using EQ-5D-5L in Hong Kong SAR, China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 869-879, August.
    18. Billingsley Kaambwa & Gang Chen & Julie Ratcliffe & Angelo Iezzi & Aimee Maxwell & Jeff Richardson, 2017. "Mapping Between the Sydney Asthma Quality of Life Questionnaire (AQLQ-S) and Five Multi-Attribute Utility Instruments (MAUIs)," PharmacoEconomics, Springer, vol. 35(1), pages 111-124, January.
    19. Donna Rowen & John Brazier & Anju Keetharuth & Aki Tsuchiya & Clara Mukuria, 2016. "Comparison of Modes of Administration and Alternative Formats for Eliciting Societal Preferences for Burden of Illness," Applied Health Economics and Health Policy, Springer, vol. 14(1), pages 89-104, February.
    20. Louis S. Matza & Katherine J. Kim & Holly Yu & Katherine A. Belden & Antonia F. Chen & Mark Kurd & Bruce Y. Lee & Jason Webb, 2019. "Health state utilities associated with post-surgical Staphylococcus aureus infections," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 819-827, August.

    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.