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On The Uses Of Routine Patient‐Reported Health Outcome Data

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  • Peter C. Smith
  • Andrew D. Street

Abstract

It has long been standard practice to ask patients in clinical trials about their health status, but the practice is now being extended to patients receiving treatment on a routine basis. In this paper, we examine four types of analyses that these health data might inform: comparisons of alternative treatments for the same condition, of health care providers, of changes in performance over time and of treatments of different types of condition. Analytical challenges arise because counterfactuals cannot be observed and because health status cannot be measured continuously. The implications of these challenges and the ability to meet them vary according to the comparative exercise. We argue that, provided with a sufficient number of health status measures for each patient and proper risk adjustment, health status measurement has great potential to inform the first three types of comparison. However, we believe that it is not yet possible to use such data to make secure comparative judgements about the outcomes from treatment for different types of condition. Copyright © 2012 John Wiley & Sons, Ltd.

Suggested Citation

  • Peter C. Smith & Andrew D. Street, 2013. "On The Uses Of Routine Patient‐Reported Health Outcome Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(2), pages 119-131, February.
    • Handle: RePEc:wly:hlthec:v:22:y:2013:i:2:p:119-131
    DOI: 10.1002/hec.2793
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    References listed on IDEAS

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    1. Anthony Atkinson, 2010. "Measuring Health Output, Productivity and Equity: Future Challenges," Monograph 000221, Office of Health Economics.
    2. Cutler, David M. & Huckman, Robert S., 2003. "Technological development and medical productivity: the diffusion of angioplasty in New York state," Journal of Health Economics, Elsevier, vol. 22(2), pages 187-217, March.
    3. D. J. Spiegelhalter, 1999. "Surgical audit: statistical lessons from Nightingale and Codman," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 45-58.
    4. Briggs, Andrew & Sculpher, Mark & Claxton, Karl, 2006. "Decision Modelling for Health Economic Evaluation," OUP Catalogue, Oxford University Press, number 9780198526629.
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    Cited by:

    1. Arndt R. Reichert & Magdalena A. Stroka, 2018. "Nursing home prices and quality of care — Evidence from administrative data," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 129-140, January.
    2. Nils Gutacker & Chris Bojke & Silvio Daidone & Nancy Devlin & Andrew Street, 2013. "Hospital Variation in Patient-Reported Outcomes at the Level of EQ-5D Dimensions," Medical Decision Making, , vol. 33(6), pages 804-818, August.
    3. Arndt R. Reicher & Magdalena Stroka, 2014. "Nursing Home Prices and Quality of Care - Evidence from Administrative Data," Ruhr Economic Papers 0470, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    4. Dorota Kilańska & Anna Lipert & Marika Guzek & Per Engelseth & Michał Marczak & Kamila Sienkiewicz & Remigiusz Kozłowski, 2021. "Increased Accessibility to Primary Healthcare Due to Nurse Prescribing of Medicines," IJERPH, MDPI, vol. 19(1), pages 1-22, December.
    5. repec:zbw:rwirep:0470 is not listed on IDEAS
    6. David Nuttall & David Parkin & Nancy Devlin, 2015. "Inter‐Provider Comparison Of Patient‐Reported Outcomes: Developing An Adjustment To Account For Differences In Patient Case Mix," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 41-54, January.
    7. Moran, Valerie & Jacobs, Rowena, 2015. "Comparing the performance of English mental health providers in achieving patient outcomes," Social Science & Medicine, Elsevier, vol. 140(C), pages 127-135.

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