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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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    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Amir Shmueli, 1999. "Subjective Health Status and Health Values in the General Population," Medical Decision Making, , vol. 19(2), pages 122-127, April.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
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    1. Garry R. Barton & Tracey H. Sach & Anthony J. Avery & Claire Jenkinson & Michael Doherty & David K. Whynes & Kenneth R. Muir, 2008. "A comparison of the performance of the EQ‐5D and SF‐6D for individuals aged ≥ 45 years," Health Economics, John Wiley & Sons, Ltd., vol. 17(7), pages 815-832, July.
    2. Shitong Xie & Jing Wu & Gang Chen, 2024. "Comparative performance and mapping algorithms between EQ-5D-5L and SF-6Dv2 among the Chinese general population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 7-19, February.
    3. Maheswaran, Hendramoorthy & Kupek, Emil & Petrou, Stavros, 2015. "Self-reported health and socio-economic inequalities in England, 1996–2009: Repeated national cross-sectional study," Social Science & Medicine, Elsevier, vol. 136, pages 135-146.
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    6. Albert Jan van Hoek & Elizabeth Miller, 2016. "Cost-Effectiveness of Vaccinating Immunocompetent ≥65 Year Olds with the 13-Valent Pneumococcal Conjugate Vaccine in England," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-14, February.
    7. Mengjun Wu & John Brazier & Benjamin Kearns & Clare Relton & Christine Smith & Cindy Cooper, 2015. "Examining the impact of 11 long-standing health conditions on health-related quality of life using the EQ-5D in a general population sample," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 141-151, March.
    8. Clare C. Brown & J. Mick Tilford & Nalin Payakachat & D. Keith Williams & Karen A. Kuhlthau & Jeffrey M. Pyne & Renske J. Hoefman & Werner B. F. Brouwer, 2019. "Measuring Health Spillover Effects in Caregivers of Children with Autism Spectrum Disorder: A Comparison of the EQ-5D-3L and SF-6D," PharmacoEconomics, Springer, vol. 37(4), pages 609-620, April.
    9. Henry Ireys & Jonathan Brown & Ellen Bouchery & Liz Babalola & Michael Barna & Crystal Blyler & Dan Friend & Christine Fulton & Matt Kehn & Tricia Higgins & Jasmine Little & Jennifer Lyons & Jessica N, "undated". "Evaluating the HCIA – Behavioral Health/Substance Abuse Awards: Second Annual Report," Mathematica Policy Research Reports f421a5fb2edd46b79046bc7f9, Mathematica Policy Research.
    10. Kontodimopoulos, Nick & Niakas, Dimitris, 2008. "An estimate of lifelong costs and QALYs in renal replacement therapy based on patients' life expectancy," Health Policy, Elsevier, vol. 86(1), pages 85-96, April.
    11. Bruno Casal & Eva Rodríguez-Míguez & Berta Rivera, 2020. "Measuring intangible cost-of-morbidity due to substance dependence: implications of using alternative preference-based instruments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1039-1048, September.
    12. Richard Huan Xu & Dong Dong & Nan Luo & Eliza Lai-Yi Wong & Yushan Wu & Siyue Yu & Renchi Yang & Junshuai Liu & Huiqin Yuan & Shuyang Zhang, 2021. "Evaluating the psychometric properties of the EQ-5D-5L and SF-6D among patients with haemophilia," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(4), pages 547-557, June.
    13. Fan Yang & Titus Lau & Evan Lee & A. Vathsala & Kee Chia & Nan Luo, 2015. "Comparison of the preference-based EQ-5D-5L and SF-6D in patients with end-stage renal disease (ESRD)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(9), pages 1019-1026, December.
    14. Mukuria, Clara & Brazier, John, 2013. "Valuing the EQ-5D and the SF-6D health states using subjective well-being: A secondary analysis of patient data," Social Science & Medicine, Elsevier, vol. 77(C), pages 97-105.
    15. Nick Kontodimopoulos & Michalis Argiriou & Nikolaos Theakos & Dimitris Niakas, 2011. "The impact of disease severity on EQ-5D and SF-6D utility discrepancies in chronic heart failure," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(4), pages 383-391, August.
    16. Carmen Selva-Sevilla & Paula Ferrara & Manuel Gerónimo-Pardo, 2020. "Interchangeability of the EQ-5D and the SF-6D, and comparison of their psychometric properties in a spinal postoperative Spanish population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(4), pages 649-662, June.
    17. John N. Yfantopoulos & Athanasios E. Chantzaras, 2017. "Validation and comparison of the psychometric properties of the EQ-5D-3L and EQ-5D-5L instruments in Greece," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(4), pages 519-531, May.
    18. Garry Barton & Tracey Sach & Michael Doherty & Anthony Avery & Claire Jenkinson & Kenneth Muir, 2008. "An assessment of the discriminative ability of the EQ-5D index , SF-6D, and EQ VAS, using sociodemographic factors and clinical conditions," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(3), pages 237-249, August.
    19. Michela Tinelli & Mandy Ryan & Christine Bond & Anthony Scott, 2013. "Valuing Benefits to Inform a Clinical Trial in Pharmacy," PharmacoEconomics, Springer, vol. 31(2), pages 163-171, February.

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