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Evaluating Quality-Adjusted Life Years

Author

Listed:
  • Michael B. Nichol

    (Pharmaceutical Economics and Policy, University of Southern California, Los Angeles)

  • Nishan Sengupta

    (Pharmaceutical Economics and Policy, University of Southern California, Los Angeles)

  • Denise R. Globe

    (Pharmaceutical Economics and Policy, University of Southern California, Los Angeles)

Abstract

Quality-adjusted life years (QALYs) are well recognized as a valid measure for outcomes in cost-effectiveness analyses. A summary health utility score is necessary to evaluate QALYs. The objective of this study was to predict a summary utility score (represented by the Health Utility Index [HUI2]) from scores on the SF-36. Methods . A structural equation framework was applied to longitudinal data collected from 1992 to 1995 on a sample of patients insured by Southern California Kaiser Permanente (N= 6921). An ordinary least squares (OLS) method was used to estimate the HUI2. Results . The OLS model on cross-sectional data predicted 50.5% of the observed variance in HUI2 scores. Parameter estimates of all SF-36 components showed statistical significance at the P

Suggested Citation

  • Michael B. Nichol & Nishan Sengupta & Denise R. Globe, 2001. "Evaluating Quality-Adjusted Life Years," Medical Decision Making, , vol. 21(2), pages 105-112, April.
    • Handle: RePEc:sae:medema:v:21:y:2001:i:2:p:105-112
    DOI: 10.1177/0272989X0102100203
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    Citations

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    Cited by:

    1. Brazier, J, 2005. "Current state of the art in preference-based measures of health and avenues for further research," MPRA Paper 29762, University Library of Munich, Germany.
    2. Ning Gu & Chris Bell & Marc Botteman & Xiang Ji & John Carter & Ben Hout, 2012. "Estimating Preference-Based EQ-5D Health State Utilities or Item Responses from Neuropathic Pain Scores," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(3), pages 185-197, September.
    3. 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.
    4. Haomiao Jia & Erica I. Lubetkin, 2008. "Estimating EuroQol EQ-5D Scores from Population Healthy Days Data," Medical Decision Making, , vol. 28(4), pages 491-499, July.
    5. Rowen, D & Brazier, J & Tsuchiya, A & Hernández, M & Ibbotson, R, 2009. "The simultaneous valuation of states from multiple instruments using ranking and VAS data: methods and preliminary results," MPRA Paper 29841, University Library of Munich, Germany.
    6. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    7. John A. Nyman, 2004. "Should the consumption of survivors be included as a cost in cost–utility analysis?," Health Economics, John Wiley & Sons, Ltd., vol. 13(5), pages 417-427, May.
    8. Stavros Petrou & Emil Kupek, 2009. "Estimating Preference-Based Health Utilities Index Mark 3 Utility Scores for Childhood Conditions in England and Scotland," Medical Decision Making, , vol. 29(3), pages 291-303, May.
    9. Donna Rowen & John Brazier & Aki Tsuchiya & Mónica Hernández Alava, 2012. "Valuing states from multiple measures on the same visual analogue sale: a feasibility study," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 715-729, June.
    10. Bernie J. O'Brien & Marian Spath & Gordon Blackhouse & J.L. Severens & Paul Dorian & John Brazier, 2003. "A view from the bridge: agreement between the SF‐6D utility algorithm and the Health Utilities Index," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 975-981, November.
    11. Young, Tracey A. & Yang, Y & Brazier, J & Tsuchiya, A & Coyne, K, 2008. "Making Rasch decisions: the use of Rasch analysis in the construction of preference based health related quality of life instruments," MPRA Paper 29828, University Library of Munich, Germany.

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