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An investigation into the empirical validity of the EQ‐5D and SF‐6D based on hypothetical preferences in a general population

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  • Stavros Petrou
  • Christine Hockley

Abstract

Background: An important consideration for studies that derive utility scores using multi‐attribute utility measures is the psychometric integrity of the measurement instrument. Of particular importance is the requirement to establish the empirical validity of multi‐attribute utility measures; that is, whether they generate utility scores that, in practice, reflect people's preferences. We compared the empirical validity of EQ‐5D versus SF‐6D utility scores based on hypothetical preferences in a large, representative sample of the English population. Methods: Adult participants in the 1996 Health Survey for England (n=16 443) formed the basis of the investigation. The subjects were asked to complete the EQ‐5D and SF‐36 measures. Their responses were converted into utility scores using the York A1 tariff set and the SF‐6D utility algorithm, respectively. One‐way analysis of variance was used to test the hypothetically constructed preference rule that each set of utility scores differs significantly by self‐reported health status (categorised as very good, good, fair, bad or very bad). The degree to which EQ‐5D and SF‐6D utility scores reflect alternative configurations of self‐reported health status; illness, disability or infirmity, and medication use was tested using the relative efficiency statistic and receiver operating characteristic (ROC) curves. Results: The mean utility score for the EQ‐5D was 0.845 (95% CI: 0.842, 0.849), whilst the mean utility score for the SF‐6D was 0.799 (95% CI: 0.797, 0.802), representing a mean difference in utility score of 0.046 (95% CI: 0.044, 0.049; p

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  • Stavros Petrou & Christine Hockley, 2005. "An investigation into the empirical validity of the EQ‐5D and SF‐6D based on hypothetical preferences in a general population," Health Economics, John Wiley & Sons, Ltd., vol. 14(11), pages 1169-1189, November.
    • Handle: RePEc:wly:hlthec:v:14:y:2005:i:11:p:1169-1189
    DOI: 10.1002/hec.1006
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    1. Dennis G. Fryback & Erik J. Dasbach & Ronald Klein & Barbara E.K. Klein & Norma Dorn & Kathy Peterson & Patrica A. Martin, 1993. "The Beaver Dam Health Outcomes study," Medical Decision Making, , vol. 13(2), pages 89-102, June.
    2. 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.
    3. Lena Lundberg & Magnus Johannesson & Dag G.L. Isacson & Lars Borgquist, 1999. "The Relationship between Health-state Utilities and the SF-12 in a General Population," Medical Decision Making, , vol. 19(2), pages 128-140, April.
    4. Amir Shmueli, 1999. "Subjective Health Status and Health Values in the General Population," Medical Decision Making, , vol. 19(2), pages 122-127, April.
    5. van Doorslaer, Eddy & Wagstaff, Adam & Bleichrodt, Han & Calonge, Samuel & Gerdtham, Ulf-G. & Gerfin, Michael & Geurts, Jose & Gross, Lorna & Hakkinen, Unto & Leu, Robert E., 1997. "Income-related inequalities in health: some international comparisons," Journal of Health Economics, Elsevier, vol. 16(1), pages 93-112, February.
    6. Dennis G. Fryback & William F. Lawrence & Patricia A. Martin & Ronald Klein & Barbara E.K. Klein, 1997. "Predicting Quality of Well-being Scores from the SF-36," Medical Decision Making, , vol. 17(1), pages 1-9, February.
    7. John Brazier & Mark Deverill, 1999. "A checklist for judging preference‐based measures of health related quality of life: Learning from psychometrics," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 41-51, February.
    8. Torrance, George W., 1986. "Measurement of health state utilities for economic appraisal : A review," Journal of Health Economics, Elsevier, vol. 5(1), pages 1-30, March.
    9. Dolan, P. & Gudex, C. & Kind, P. & Williams, A., 1996. "Valuing health states: A comparison of methods," Journal of Health Economics, Elsevier, vol. 15(2), pages 209-231, April.
    10. van Agt, Heleen M. E. & Essink-Bot, Marie-Louise & Krabbe, Paul F. M. & Bonsel, Gouke J., 1994. "Test-retest reliability of health state valuations collected with the EuroQol questionnaire," Social Science & Medicine, Elsevier, vol. 39(11), pages 1537-1544, December.
    11. Bryan, Stirling & Parkin, David & Donaldson, Cam, 1991. "Chiropody and the QALY: a case study in assigning categories of disability and distress to patients," Health Policy, Elsevier, vol. 18(2), pages 169-185, July.
    12. John Brazier & Jennifer Roberts & Aki Tsuchiya & Jan Busschbach, 2004. "A comparison of the EQ‐5D and SF‐6D across seven patient groups," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 873-884, September.
    13. William Hollingworth & Richard A. Deyo & Sean D. Sullivan & Scott S. Emerson & Darryl T. Gray & Jeffrey G. Jarvik, 2002. "The practicality and validity of directly elicited and SF‐36 derived health state preferences in patients with low back pain," Health Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 71-85, January.
    14. 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.
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