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The Distribution of the EQ-5D-5L Index in Patient Populations

Author

Listed:
  • Feng, Y.
  • Devlin, N.
  • Bateman, A.
  • Zamora, B.
  • Parkin, D.

Abstract

EQ-5D data are often summarised by an EQ-5D index, whose distribution for its original version, the EQ-5D-3L, often shows two distinct groups in patient populations, arising from both the distribution of ill health and how the index is constructed. To date, there is little evidence about the distribution of the EQ-5D-5L index. This project aims to - - explore whether or not the EQ-5D-5L index distribution also demonstrates this two-group distribution - test the extent to which clustering of EQ-5D-5L profile data drives any observed clustering of the EQ-5D-5L index, and the extent to which clusters result from the characteristics of the value sets used to create the index; - discuss the implications of our results for statistical analysis of EQ-5D-5L index data. The results highlight the importance of undertaking careful exploratory data analysis for health related quality of life measures such as the EQ-5D, to ensure that statistical testing takes account of clustering and other features of the data distribution.

Suggested Citation

  • Feng, Y. & Devlin, N. & Bateman, A. & Zamora, B. & Parkin, D., 2016. "The Distribution of the EQ-5D-5L Index in Patient Populations," Research Papers 001756, Office of Health Economics.
    • Handle: RePEc:ohe:respap:001756
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    File URL: https://www.ohe.org/system/files/private/publications/Distribution%20of%20EQ-5D-5L%20index%20FINAL%20YF.pdf
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    References listed on IDEAS

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    1. Anna Makles, 2012. "Stata tip 110: How to get the optimal k-means cluster solution," Stata Journal, StataCorp LP, vol. 12(2), pages 347-351, June.
    2. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    3. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157.
    4. Nancy J. Devlin & Koonal K. Shah & Yan Feng & Brendan Mulhern & Ben van Hout, 2018. "Valuing health‐related quality of life: An EQ‐5D‐5L value set for England," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 7-22, January.
    5. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: An application in breast cancer patients," Health, Econometrics and Data Group (HEDG) Working Papers 07/07, HEDG, c/o Department of Economics, University of York.
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    More about this item

    Keywords

    Incentivising quality;

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

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