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Productivity Growth in the English National Health Service from 1998/1999 to 2013/2014

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  • Chris Bojke
  • Adriana Castelli
  • Katja Grašič
  • Andrew Street

Abstract

Productivity growth is a key measure against which National Health Service (NHS) achievements are judged. We measure NHS productivity growth as a set of paired year‐on‐year comparisons from 1998/1999–1999/2000 through 2012/2013–2013/2014, which are converted into a chained index that summarises productivity growth over the entire period. Our measure is as comprehensive as data permit and accounts for the multitude of diverse outputs and inputs involved in the production process and for regular revisions to the data used to quantify outputs and inputs. Over the full‐time period, NHS output increased by 88.96% and inputs by 81.58%, delivering overall total factor productivity growth of 4.07%. Productivity growth was negative during the first two terms of Blair's government, with average yearly growth rate of −1.01% per annum (pa) during the first term (to 2000/2001) and −1.49% pa during the second term (2000/2001–2004/2005). Productivity growth was positive under Blair's third term (2004/2005–2007/2008) at 1.41% pa and under the Brown government (2007/2008–2010/2011), averaging 1.13% pa. Productivity growth remained positive under the Coalition (2010/2011–2013/2014), averaging 1.56% pa. © 2016 The Authors Health Economics Published by John Wiley & Sons Ltd.

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  • Chris Bojke & Adriana Castelli & Katja Grašič & Andrew Street, 2017. "Productivity Growth in the English National Health Service from 1998/1999 to 2013/2014," Health Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 547-565, May.
  • Handle: RePEc:wly:hlthec:v:26:y:2017:i:5:p:547-565
    DOI: 10.1002/hec.3338
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    Cited by:

    1. Atella, Vincenzo & Belotti, Federico & Bojke, Chris & Castelli, Adriana & Grašič, Katja & Kopinska, Joanna & Piano Mortari, Andrea & Street, Andrew, 2019. "How health policy shapes healthcare sector productivity? Evidence from Italy and UK," Health Policy, Elsevier, vol. 123(1), pages 27-36.
    2. Ayoubi, Charles, 2020. "Machine learning in healthcare: Mirage or miracle for breaking the costs dead-lock?," Thesis Commons tc24d, Center for Open Science.
    3. Vincenzo Atella & Federico Belotti & Chris Bojke & Adriana Castelli & Katja Grašic & Joanna Kopinska & Andrea Piano Mortari & Andrew Street, 2017. "Against All Odds: The Contribution of the Healthcare Sector to Productivity. Evidence from Italy and UK from 2004 to 2011," CEIS Research Paper 418, Tor Vergata University, CEIS, revised 12 Dec 2017.
    4. 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.
    5. 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.
    6. Adriana Castelli & Martin Chalkley & James Gaughan & Idaira Rodriguez Santana, 2020. "Productivity of the English National Health Service: 2017/18 update," Working Papers 171cherp, Centre for Health Economics, University of York.
    7. Anastasia Arabadzhyan & Adriana Castelli & Martin Chalkley & James Gaughan & Maria Ana Matias, 2021. "Productivity of the English National Health Service 2018/19 Update," Working Papers 182cherp, Centre for Health Economics, University of York.
    8. Keegan, Conor & Brick, Aoife & Bergin, Adele & Wren, Maev-Ann & Whyte, Richard & Henry, Edward, 2020. "Projections of expenditure for public hospitals in Ireland, 2018–2035, based on the Hippocrates Model," Research Series, Economic and Social Research Institute (ESRI), number RS117, June.

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