Literature DB >> 10180390

League tables for performance improvement in health care.

S Nutley1, P C Smith.   

Abstract

OBJECTIVES: Increasingly health care performance data are being disseminated in the form of 'league tables' of health care providers, with the implication that such publication helps purchasers select the better providers, and spurs providers into improvements. This paper examines progress to date.
METHODS: Three stages of the league table process are considered: measurement, analysis and action.
RESULTS: A wide range of measurement schemes are now in place, although the emphasis has been on process variables and mortality as a measure of outcome. Several analytical techniques have been deployed to help users make sense of league tables, and to help determine the causes of variations in reported performance. The weakest aspect of current methods relates to the use to which such analysis is put.
CONCLUSIONS: A haphazard approach to using league table data exists, with few reports on the impact of publication. A variety of directions for future research into the use of performance data are needed.

Mesh:

Year:  1998        PMID: 10180390     DOI: 10.1177/135581969800300111

Source DB:  PubMed          Journal:  J Health Serv Res Policy        ISSN: 1355-8196


  11 in total

1.  Modernizing the NHS. Performance and productivity.

Authors:  J Dixon
Journal:  BMJ       Date:  2000-05-27

2.  Public release of performance data and quality improvement: internal responses to external data by US health care providers.

Authors:  H T Davies
Journal:  Qual Health Care       Date:  2001-06

3.  Trust in performance indicators?

Authors:  H T Davies; J Lampel
Journal:  Qual Health Care       Date:  1998-09

4.  Using routine comparative data to assess the quality of health care: understanding and avoiding common pitfalls.

Authors:  A E Powell; H T O Davies; R G Thomson
Journal:  Qual Saf Health Care       Date:  2003-04

Review 5.  A 'league table' of contingent valuation results for pharmaceutical interventions: a hard pill to swallow?

Authors:  Tracey H Sach; Richard D Smith; David K Whynes
Journal:  Pharmacoeconomics       Date:  2007       Impact factor: 4.981

6.  Performance measurement in healthcare: part II--state of the science findings by stage of the performance measurement process.

Authors:  Carol E Adair; Elizabeth Simpson; Ann L Casebeer; Judith M Birdsell; Katharine A Hayden; Steven Lewis
Journal:  Healthc Policy       Date:  2006-07

7.  Reactions to the use of evidence-based performance indicators in primary care: a qualitative study.

Authors:  E K Wilkinson; A McColl; M Exworthy; P Roderick; H Smith; M Moore; J Gabbay
Journal:  Qual Health Care       Date:  2000-09

8.  Development and impact of the Iranian hospital performance measurement program.

Authors:  Asgar Aghaei Hashjin; Dionne S Kringos; Jila Manoochehri; Aidin Aryankhesal; Niek S Klazinga
Journal:  BMC Health Serv Res       Date:  2014-10-01       Impact factor: 2.655

9.  A comparison of hierarchical cluster analysis and league table rankings as methods for analysis and presentation of district health system performance data in Uganda.

Authors:  Christine K Tashobya; Dominique Dubourg; Freddie Ssengooba; Niko Speybroeck; Jean Macq; Bart Criel
Journal:  Health Policy Plan       Date:  2015-05-28       Impact factor: 3.344

Review 10.  Health systems performance assessment in low-income countries: learning from international experiences.

Authors:  Christine Kirunga Tashobya; Valéria Campos da Silveira; Freddie Ssengooba; Juliet Nabyonga-Orem; Jean Macq; Bart Criel
Journal:  Global Health       Date:  2014-02-13       Impact factor: 4.185

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