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Divided by choice? Private providers, patient choice and hospital sorting in the English National Health service

Author

Listed:
  • Walter Beckert

    (Institute for Fiscal Studies and Birkbeck, University of London)

  • Elaine Kelly

    (Institute for Fiscal Studies and Institute for Fiscal Studies)

Abstract

A common reform used to increase consumer choice and competition in public services has been to allow private providers to compete with public incumbents. However, there remains a concern that not all consumers are able to bene fit equally from wider choice. We consider the case of publicly funded elective surgery in England, where reforms in the 2000s enabled privately owned hospitals to enter the market. We show that, post-reform, poor and ethnic minority patients were much less likely to choose private hospitals; and that dominant drivers of sorting between public and private providers are health based criteria for treatment by private providers and the geographic distribution of hospitals. Counterfactual simulations suggest differences in health explain 18% of the difference in the use of private providers between rich and poor patients, while the geographic distribution of hospitals explains 61% once other sorting mechanisms - ethnicity, patient preferences, physician referral patterns - are accounted for. Although much of the observed sorting does not appear to be the result of market frictions, limited variation in payments made to hospitals according to patient health means that sorting is estimated to cost public hospitals in excess of $426,426 ($625,000) per year.

Suggested Citation

  • Walter Beckert & Elaine Kelly, 2017. "Divided by choice? Private providers, patient choice and hospital sorting in the English National Health service," IFS Working Papers W17/15, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:17/15
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    References listed on IDEAS

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    1. Jason Abaluck & Abi Adams, 2017. "What do consumers consider before they choose? Identification from asymmetric demand responses," IFS Working Papers W17/09, Institute for Fiscal Studies.
    2. O'Donnell, Owen & Propper, Carol, 1991. "Equity and the distribution of UK National Health Service resources," Journal of Health Economics, Elsevier, vol. 10(1), pages 1-19, May.
    3. Jason Abaluck & Abi Adams, 2017. "What Do Consumers Consider Before They Choose? Identification from Asymmetric Demand Responses," NBER Working Papers 23566, National Bureau of Economic Research, Inc.
    4. Miguel Urquiola, 2005. "Does School Choice Lead to Sorting? Evidence from Tiebout Variation," American Economic Review, American Economic Association, vol. 95(4), pages 1310-1326, September.
    5. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    6. Joseph G. Altonji & Ching-I Huang & Christopher R. Taber, 2015. "Estimating the Cream Skimming Effect of School Choice," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 266-324.
    7. Anders Böhlmark & Helena Holmlund & Mikael Lindahl, 2016. "Parental choice, neighbourhood segregation or cream skimming? An analysis of school segregation after a generalized choice reform," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(4), pages 1155-1190, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Marius Huguet & Lionel Perrier & X Joutard & Isabelle Ray-Coquard, 2017. "What Underlies The Observed Hospital Volume-Outcome Relationship?," Post-Print halshs-01653405, HAL.
    2. Charlotte Davies, 2020. "The supply side to procurement in a health market: competition and innovation in hip implants," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2020-01, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    3. Beckert, Walter, 2018. "Choice in the presence of experts: The role of general practitioners in patients’ hospital choice," Journal of Health Economics, Elsevier, vol. 60(C), pages 98-117.
    4. Davies, Charlotte & Davies, Stephen, 2021. "Assessing competition in the hip implant industry in the light of recent policy guidance," Social Science & Medicine, Elsevier, vol. 287(C).
    5. Dardanoni, V.; & Laudicella, M.; & Li Donni, P.;, 2018. "Hospital Choice in the NHS," Health, Econometrics and Data Group (HEDG) Working Papers 18/04, HEDG, c/o Department of Economics, University of York.
    6. Yang Yu & Aizhen Ye & Cen Chen & Weidong Dai & Xu Liu, 2022. "The impact of family doctor system on patients' utilisation of general practitioner in primary care facilities—Evidence from Hangzhou, China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(6), pages 3089-3102, November.
    7. Marius Huguet & Xavier Joutard & Isabelle Ray-Coquard & Lionel Perrier, 2022. "What underlies the observed hospital volume- outcome relationship?," SciencePo Working papers Main halshs-01801598, HAL.
    8. Marius Huguet & Xavier Joutard & Isabelle Ray-Coquard & Lionel Perrier, 2018. "What underlies the observed hospital volume- outcome relationship?," Working Papers halshs-01801598, HAL.

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    More about this item

    Keywords

    Patient choice; demand for healthcare; healthcare reform; inequality;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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