Evidence map›Paper›PMID 27046836›Full record

ArticleHealth economics2017

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

Chris Bojke, Adriana Castelli, Katja Grašič, Andrew Street

Abstract read
In one paragraph

Article in Health economics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Workload and short sickness absences in a cohort of Finnish hospital employees.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  2. Article
  3. Review
  4. Assessing Productivity Development of Public Hospitals: A Case Study of Shanghai, China.International journal of environmental research and public health · 2020
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chris BojkeCentre for Health Economics, University of York, York, UK.
Adriana CastelliCentre for Health Economics, University of York, York, UK.
Katja GrašičCentre for Health Economics, University of York, York, UK.
Andrew StreetCentre for Health Economics, University of York, York, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Delivery of Health CareEfficiency, OrganizationalHealth Care CostsHumansModels, StatisticalPoliticsState MedicineUnited KingdomNHS outputs and inputsproductivity growthtotal factor productivity

Identifiers

PMID27046836
PMCPMC5396367

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.