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Predicting EuroQoL EQ-5D Preference Scores from the SF-12 Health Survey in a Nationally Representative Sample

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  • William F. Lawrence
  • John A. Fleishman

Abstract

Purpose . To predict the EuroQoL EQ-5D utility index from the SF-12 Health Survey for a US national sample of adults. Methods . The authors used the 2000 Medical Expenditure Panel Survey to examine the relationship between instruments. Linear regression was used to predict EQ-5D scores from Physical Component Summary (PCS) and Mental Component Summary (MCS) scores of the SF-12. A prediction model was derived in one half of the sample and validated in the other half. Results . Complete responses to both measures were available for 14,580 adults; 7313 (50.2%) surveys were used for the derivation set. The 2-variable model predicted 61% of the variance in EQ-5D scores and provided reasonable ability to predict mean EQ-5D scores from mean PCS and MCS scores. Confidence intervals are dependent on sample size and variance of PCS and MCS scores. Conclusions . EQ-5D scores can be reasonably predicted from the SF-12. This model allows researchers to estimate utility data for use in decision and cost-utility analyses.

Suggested Citation

  • William F. Lawrence & John A. Fleishman, 2004. "Predicting EuroQoL EQ-5D Preference Scores from the SF-12 Health Survey in a Nationally Representative Sample," Medical Decision Making, , vol. 24(2), pages 160-169, March.
    • Handle: RePEc:sae:medema:v:24:y:2004:i:2:p:160-169
    DOI: 10.1177/0272989X04264015
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    References listed on IDEAS

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    1. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834.
    2. 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.
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    Citations

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    Cited by:

    1. Rowen, D & Brazier, J & Roberts, J, 2008. "Mapping SF-36 onto the EQ-5D index: how reliable is the relationship?," MPRA Paper 29831, University Library of Munich, Germany.
    2. Peiyi Lu & Ying Liang, 2016. "Health-Related Quality of Life of Young Chinese Civil Servants Working in Local Government: Comparison of SF-12 and EQ5D," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1445-1464, December.
    3. Fan Yang & Nancy Devlin & Nan Luo, 2019. "Impact of mapped EQ-5D utilities on cost-effectiveness analysis: in the case of dialysis treatments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 99-105, February.
    4. 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.
    5. 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.
    6. Christine McDonough & Anna Tosteson, 2007. "Measuring Preferences for Cost-Utility Analysis," PharmacoEconomics, Springer, vol. 25(2), pages 93-106, February.
    7. Edward J. D. Webb, 2023. "An Item-Response Mapping from General Health Questionnaire Responses to EQ-5D-3L Using a General Population Sample from England," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 327-346, March.
    8. 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.
    9. Alexander Silbersdorff & Julia Lynch & Stephan Klasen & Thomas Kneib, 2017. "Reconsidering the Income-Illness Relationship using Distributional Regression: An Application to Germany," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 231, Courant Research Centre PEG.
    10. Darrell J. Gaskin & Kevin D. Frick, 2008. "Race and Ethnic Disparities in Valuing Health," Medical Decision Making, , vol. 28(1), pages 12-20, January.

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