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Using EQ-5D Data to Measure Hospital Performance: Are General Population Values Distorting Patients’ Choices?

Author

Listed:
  • Nils Gutacker

    (Centre for Health Economics, University of York, York, UK)

  • Thomas Patton

    (Centre for Health Economics, University of York, York, UK)

  • Koonal Shah

    (PHMR, London, UK)

  • David Parkin

    (Office of Health Economics, London, UK, and Department of Economics, City University of London, London, UK)

Abstract

Background. The English National Health Service publishes hospital performance indicators based on average postoperative EQ-5D index scores after hip replacement surgery to inform prospective patients’ choices of hospital. Unidimensional index scores are derived from multidimensional health-related quality-of-life data using preference weights estimated from a sample of the UK general population. This raises normative concerns if general population preferences differ from those of the patients who are to be informed. This study explores how the source of valuation affects hospital performance estimates. Methods. Four different value sets reflecting source of valuation (general population v. patients), valuation technique (visual analog scale [VAS] v. time tradeoff [TTO]), and experience with health states (currently experienced vs. experimentally estimated) were used to derive and compare performance estimates for 243 hospitals. Two value sets were newly estimated from EQ-5D-3L data on 122,921 hip replacement patients and 3381 members of the UK general public. Changes in hospital ranking (nationally) and performance outlier status (nationally; among patients’ 5 closest hospitals) were compared across valuations. Results. National rankings were stable under different valuations (rank correlations >0.92). Twenty-three (9.5%) hospitals changed outlier status when using patient VAS valuations instead of general population TTO valuations, the current approach. Outlier status also changed substantially at the local level. This was explained mostly by the valuation technique, not the source of valuations or experience with the health states. Limitations. No patient TTO valuations were available. The effect of value set characteristics could be established only through indirect comparisons. Conclusion. Different value sets may lead to prospective patients choosing different hospitals. Normative concerns about the use of general population valuations are not supported by empirical evidence based on VAS valuations.

Suggested Citation

  • Nils Gutacker & Thomas Patton & Koonal Shah & David Parkin, 2020. "Using EQ-5D Data to Measure Hospital Performance: Are General Population Values Distorting Patients’ Choices?," Medical Decision Making, , vol. 40(4), pages 511-521, May.
    • Handle: RePEc:sae:medema:v:40:y:2020:i:4:p:511-521
    DOI: 10.1177/0272989X20927705
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    References listed on IDEAS

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