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Hospital trusts productivity in the English NHS: uncovering possible drivers of productivity variations

Author

Listed:
  • Maria Jose Aragon Aragon

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

  • Adriana Castelli

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

  • James Gaughan

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

Abstract

In 2009, the NHS Chief Executive warned that a potential funding gap of £20 billion should be met by extensive efficiency savings by March 2015. Our study investigates possible drivers of differential Trust performance (productivity) for the years 2010/11-2012/13. Productivity is measured as Outputs/Inputs. We extend previous productivity work at Trust level by including a fuller range of care settings, including Inpatient, A&E and Community Care, in our output measure. Inputs include staff, equipment, and capital resources. We analyse variation in Total Factor and Labour Productivity with ordinary least squares regressions. Explanatory variables include efficiency in resource use measures, Trust and patient characteristics. We find productivity varies substantially across Trusts but is consistent across time. Larger Trusts are associated with lower productivity. Patient age groups treated is also found to be important. Foundation Trust status is associated with lower Total Factor Productivity, while treating more patients in their last year of life is surprisingly associated with higher Labour Productivity. Variation in productivity is persistent across years, and not fully explained by case-mix adjustment. A lack of convergence in productivity may indicate outstanding scope to improve Trust productivity based on mimicking the practises of the most productive providers.

Suggested Citation

  • Maria Jose Aragon Aragon & Adriana Castelli & James Gaughan, 2015. "Hospital trusts productivity in the English NHS: uncovering possible drivers of productivity variations," Working Papers 117cherp, Centre for Health Economics, University of York.
  • Handle: RePEc:chy:respap:117cherp
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    References listed on IDEAS

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    1. Howdon, Daniel & Rice, Nigel, 2018. "Health care expenditures, age, proximity to death and morbidity: Implications for an ageing population," Journal of Health Economics, Elsevier, vol. 57(C), pages 60-74.
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    7. Adriana Castelli & Andrew Street & Rossella Verzulli & Padraic Ward, 2015. "Examining variations in hospital productivity in the English NHS," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(3), pages 243-254, April.
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    Cited by:

    1. Alexander Karmann & Felix Roesel, 2017. "Hospital Policy and Productivity – Evidence from German States," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1548-1565, December.
    2. María José Aragón & Martin Chalkley & Adriana Castelli & James Gaughan, 2016. "Hospital productivity growth in the English NHS 2008/09 to 2013/14," Working Papers 138cherp, Centre for Health Economics, University of York.
    3. María José Aragón Aragón & Adriana Castelli & Martin Chalkley & James Gaughan, 2019. "Can productivity growth measures identify best performing hospitals? Evidence from the English National Health Service," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 364-372, March.
    4. Johannessen, Karl Arne & Kittelsen, Sverre A.C. & Hagen, Terje P., 2017. "Assessing physician productivity following Norwegian hospital reform: A panel and data envelopment analysis," Social Science & Medicine, Elsevier, vol. 175(C), pages 117-126.
    5. Manhal Ali & Reza Salehnejad & Mohaimen Mansur, 2018. "Hospital heterogeneity: what drives the quality of health care," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(3), pages 385-408, April.

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    Keywords

    Hospital; productivity indices; productivity variation;
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