IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v22y2002i4p350-358.html
   My bibliography  Save this article

How Robust Is the Health Utilities Index Mark 2 Utility Function?

Author

Listed:
  • Qinan Wang

    (Division of Economics and Statistics, School of Accountancy and Business, Nanyang Technological University, Singapore)

  • William Furlong

    (Centre for Health Economics and Policy Analysis and the Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada, and Health Utilities Inc.)

  • David Feeny

    (Institute of Health Economics, and the Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada, and Health Utilities Inc.)

  • George Torrance

    (McMaster University, Health Utilities Inc., and Innovus Research Inc.)

  • Ronald Barr

    (Department of Pediatrics, McMaster University, and the Children’s Hospital of Hamilton Health Sciences Corporation, Hamilton, Ontario, Canada)

Abstract

Purpose . The utility function for the Health Utilities Index Mark 2 (HUI2) system is based on preference measurements from a random sample of parents with exclusion of inconsistent respondents. Would results without exclusions or from a different group of parents have differed? Methods . Scores were obtained from parents of patients (n = 59) undergoing treatment for cancer. Mean scores from the 2 sets of parents were compared: parents of patients and parents from the general population. Three multiattribute utility functions were estimated. Mean scores for HUI2 states using the functions were compared. Results . Most differences in mean scores between different groups were not statistically significant (P

Suggested Citation

  • Qinan Wang & William Furlong & David Feeny & George Torrance & Ronald Barr, 2002. "How Robust Is the Health Utilities Index Mark 2 Utility Function?," Medical Decision Making, , vol. 22(4), pages 350-358, August.
    • Handle: RePEc:sae:medema:v:22:y:2002:i:4:p:350-358
    DOI: 10.1177/0272989X0202200413
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X0202200413
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X0202200413?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. W Furlong & D Feeny & G Torrance & C Goldsmith & S DePauw & Z Zhu & M Denton & M Boyle, 1998. "Multiplicative Multi-Attribute Utility Function for the Health Utilities Index Mark 3 (HUI3) System: A Technical Report," Centre for Health Economics and Policy Analysis Working Paper Series 1998-11, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    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. P. Wang & M. Li & G. Liu & J. Thumboo & N. Luo, 2015. "Do Chinese have similar health-state preferences? A comparison of mainland Chinese and Singaporean Chinese," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(8), pages 857-863, November.
    2. David Feeny, 2012. "The Multi-attribute Utility Approach to Assessing Health-related Quality of Life," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 36, Edward Elgar Publishing.

    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. D. Stratmann‐Schoene & T. Kuehn & R. Kreienberg & R. Leidl, 2006. "A preference‐based index for the SF‐12," Health Economics, John Wiley & Sons, Ltd., vol. 15(6), pages 553-564, June.
    2. Mihir Gandhi & Marcus Ang & Kelvin Teo & Chee Wai Wong & Yvonne Chung-Hsi Wei & Rachel Lee-Yin Tan & Mathieu F. Janssen & Nan Luo, 2020. "A vision ‘bolt-on’ increases the responsiveness of EQ-5D: preliminary evidence from a study of cataract surgery," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(4), pages 501-511, June.
    3. Stengos, Thanasis & Thompson, Brennan S., 2012. "Testing for bivariate stochastic dominance using inequality restrictions," Economics Letters, Elsevier, vol. 115(1), pages 60-62.
    4. Emmanuelle Piérard, 2016. "The effect of health care expenditures on self-rated health status and the Health Utility Index: Evidence from Canada," International Journal of Health Economics and Management, Springer, vol. 16(1), pages 1-21, March.
    5. Joan Costa-Font & Frank A. Cowell, 2022. "The measurement of health inequalities: does status matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 299-325, June.
    6. Barry Dewitt & Alexander Davis & Baruch Fischhoff & Janel Hanmer, 2017. "An Approach to Reconciling Competing Ethical Principles in Aggregating Heterogeneous Health Preferences," Medical Decision Making, , vol. 37(6), pages 647-656, August.
    7. Jorgen Lauridsen & Terkel Christiansen & Unto Häkkinen, 2004. "Measuring inequality in self‐reported health—discussion of a recently suggested approach using Finnish data," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 725-732, July.
    8. Nan Luo & Qinan Wang & David Feeny & Geraldine Chen & Shu-Chuen Li & Julian Thumboo, 2007. "Measuring Health Preferences for Health Utilities Index Mark 3 Health States: A Study of Feasibility and Preference Differences among Ethnic Groups in Singapore," Medical Decision Making, , vol. 27(1), pages 61-70, January.
    9. Bleichrodt, Han & Herrero, Carmen & Pinto, Jose Luis, 2002. "A proposal to solve the comparability problem in cost-utility analysis," Journal of Health Economics, Elsevier, vol. 21(3), pages 397-403, May.
    10. Miller, Ray & Chin, Sayorn & Sedai, Ashish Kumar, 2022. "The welfare cost of late-life depression," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 15-36.
    11. Louis S. Matza & Glenn Phillips & Barry Dewitt & Katie D. Stewart & David Cella & David Feeny & Janel Hanmer & Deborah M. Miller & Dennis A. Revicki, 2020. "A Scoring Algorithm for Deriving Utility Values from the Neuro-QoL for Patients with Multiple Sclerosis," Medical Decision Making, , vol. 40(7), pages 897-911, October.
    12. Peter J. Neumann & Eileen A. Sandberg & Sally S. Araki & Karen M. Kuntz & David Feeny & Milton C. Weinstein, 2000. "A Comparison of HU12 and HU13 Utility Scores in Alzheimer's Disease," Medical Decision Making, , vol. 20(4), pages 413-422, October.
    13. Dionne, Georges & Lebeau, Martin, 2010. "Le calcul de la valeur statistique d’une vie humaine," L'Actualité Economique, Société Canadienne de Science Economique, vol. 86(4), pages 487-530, décembre.
    14. Piérard, Emmanuelle, 2014. "The effect of physician supply on health status: Canadian evidence," Health Policy, Elsevier, vol. 118(1), pages 56-65.
    15. Charles M. Harvey & Lars Peter Østerdal, 2010. "Cardinal Scales for Health Evaluation," Decision Analysis, INFORMS, vol. 7(3), pages 256-281, September.
    16. Wolfgang C. Winkelmayer & Joshua S. Benner & Robert J. Glynn & Sebastian Schneeweiss & Philip S. Wang & M. Alan Brookhart & Raisa Levin & Joseph D. Jackson & Jerry Avorn, 2006. "Assessing Health State Utilities in Elderly Patients at Cardiovascular Risk," Medical Decision Making, , vol. 26(3), pages 247-254, May.
    17. Barry Dewitt & Baruch Fischhoff & Alexander L. Davis & Stephen B. Broomell & Mark S. Roberts & Janel Hanmer, 2019. "Exclusion Criteria as Measurements II: Effects on Utility Functions," Medical Decision Making, , vol. 39(6), pages 704-716, August.
    18. Carmen Herrero Blanco & Juan D. Moreno Ternero, 2002. "Economic Evaluation Of Newborn Hearing Screening Procedures," Working Papers. Serie AD 2002-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    19. Monali S Malvankar-Mehta & Yufeng Nancy Chen & Sangita Patel & Angela Pui-Kei Leung & Man Mohan Merchea & William G Hodge, 2015. "Immediate versus Delayed Sequential Bilateral Cataract Surgery: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-18, June.
    20. Krupnick, Alan & Taylor, Michael & Batz, Michael & Hoffmann, Sandra & Tick, Jody & Morris, Glenn & Sherman, Diane, 2004. "Identifying the Most Significant Microbiological Foodborne Hazards to Public Health: A New Risk Ranking Model," RFF Working Paper Series dp-frsc-dp-01, Resources for the Future.

    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:sae:medema:v:22:y:2002:i:4:p:350-358. 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: SAGE Publications (email available below). General contact details of provider: .

    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.