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Estimating EuroQol EQ-5D Scores from Population Healthy Days Data

Author

Listed:
  • Haomiao Jia

    (School of Nursing, Columbia University, New York, New York, Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York)

  • Erica I. Lubetkin

    (Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education/CUNY Medical School, New York, New York)

Abstract

Background. Preference-based assessments of population health, which may be used for cost-utility analyses, are lacking for most states and communities. With adequate population data, preference-based values can be estimated from non-preference-based health-related quality of life (HRQOL) data. This study estimates scores on the EuroQol EQ-5D, a preference-based measure, from the Healthy Days Measures. Methods. No data set from the US population asks both the Healthy Days and EQ-5D questions for the same respondents. Therefore, estimates for EQ-5D scores were obtained indirectly by matching cumulative distributions of the 2 measures. These distributions were estimated from the 2000 — 2002 Behavioral Risk Factor Surveillance System (BRFSS) and the Medical Expenditure Panel Survey (MEPS). The validity of estimates was examined by comparing the mean estimated and observed scores across particular population subgroups. A simulation study was conducted to compare the performance of the proposed method to the regression method. Results. The overall mean observed EQ-5D index was 0.871 and the mean estimated EQ-5D index was 0.872. In the majority of examined subgroups, the mean scores demonstrated a good match according to sociodemographic variables and health-related conditions and, with the exception of the most impaired health states, the differences tended to be less than 0.04. Conclusions. This study provided preliminary estimates of EQ-5D scores from the Healthy Days Measures and demonstrated acceptable validity of the estimates. Because the Healthy Days Measures have been included in many state and local surveys, preliminary cost-utility analyses and determination of burden of disease might be able to be conducted at the national, state, and community levels as well as over time. Key words: health-related quality of life; EQ-5D; Healthy Days Measures; cost-effective analysis. (Med Decis Mak ing 2008;28:491 — 499)

Suggested Citation

  • 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.
    • Handle: RePEc:sae:medema:v:28:y:2008:i:4:p:491-499
    DOI: 10.1177/0272989X07312708
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    References listed on IDEAS

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    1. Michael B. Nichol & Nishan Sengupta & Denise R. Globe, 2001. "Evaluating Quality-Adjusted Life Years," Medical Decision Making, , vol. 21(2), pages 105-112, April.
    2. Alastair M. Gray & Oliver Rivero-Arias & Philip M. Clarke, 2006. "Estimating the Association between SF-12 Responses and EQ-5D Utility Values by Response Mapping," Medical Decision Making, , vol. 26(1), pages 18-29, January.
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    3. Olufolake (Odufuwa) Akanni & Matthew Lee Smith & Marcia G. Ory, 2017. "Cost-Effectiveness of a Community Exercise and Nutrition Program for Older Adults: Texercise Select," IJERPH, MDPI, vol. 14(5), pages 1-16, May.

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