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Mapping the SF-12 to the EuroQol EQ-5D Index in a National US Sample

Author

Listed:
  • Peter Franks

    (Center for Health Services Research in Primary Care, University of California, Davis)

  • Erica I. Lubetkin

    (Department of Community Health and Social Medicine, City University of New York Medical School, New York, New York)

  • Marthe R. Gold

    (Department of Community Health and Social Medicine, City University of New York Medical School, New York, New York)

  • Daniel J. Tancredi

    (Center for Health Services Research in Primary Care, University of California, Davis)

  • Haomiao Jia

    (Department of Community Health and Social Medicine, City University of New York Medical School, New York, New York)

Abstract

Background . Preference scores for the Medical Outcomes Study (MOS) SF-12 would enable its use in cost-effectiveness analyses. Previous mapping studies of MOS instruments to preference-based instruments have not examined performance in national samples. Participants . 15,000 adults in the 2000 Medical Expenditure Panel Survey annual survey including the SF-12 and EQ-5D Index. Methods . Regression of the EQ-5D Index scores onto the physical and mental component summary scores of the SF-12, testing 2nd-4th degree polynomial and spline models, including and excluding sociodemographics. Results . A 2nd degree polynomial model explained 63% of the variance in EQ-5D scores, with robust internal and external validation. More complex models explained minimally additional variance. Compared with EQ-5D valuations, prediction models overestimated the lowest health states (6% of the population). Conclusions . The mapped SF-12 yields usable preference-scaled scores, with some caution for the lowest health states.

Suggested Citation

  • Peter Franks & Erica I. Lubetkin & Marthe R. Gold & Daniel J. Tancredi & Haomiao Jia, 2004. "Mapping the SF-12 to the EuroQol EQ-5D Index in a National US Sample," Medical Decision Making, , vol. 24(3), pages 247-254, June.
    • Handle: RePEc:sae:medema:v:24:y:2004:i:3:p:247-254
    DOI: 10.1177/0272989X04265477
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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. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Christine McDonough & Anna Tosteson, 2007. "Measuring Preferences for Cost-Utility Analysis," PharmacoEconomics, Springer, vol. 25(2), pages 93-106, February.
    9. 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.

    More about this item

    Keywords

    health status; SF-12; EQ-5D;
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