Literature DB >> 11786455

Performance league tables: the NHS deserves better.

Peymané Adab1, Andrew M Rouse, Mohammed A Mohammed, Tom Marshall.   

Abstract

Mesh：

Year:  2002        PMID： 11786455      PMCID： PMC64507          DOI： 10.1136/bmj.324.7329.95

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  16 in total

1.  Popularising hospital performance data

Authors: 
Journal:  BMJ       Date:  1999-06-26

Review 2.  Sifting the evidence-what's wrong with significance tests?

Authors:  J A Sterne; G Davey Smith
Journal:  BMJ       Date:  2001-01-27

3.  Bristol, Shipman, and clinical governance: Shewhart's forgotten lessons.

Authors:  M A Mohammed; K K Cheng; A Rouse; T Marshall
Journal:  Lancet       Date:  2001-02-10       Impact factor: 79.321

4.  Schools' experience of league tables should make doctors think again.

Authors:  P Tymms; A Wiggins
Journal:  BMJ       Date:  2000-12-09

Review 5.  Applying control charts to quality improvement.

Authors:  L J Finison; K S Finison
Journal:  J Healthc Qual       Date:  1996 Nov-Dec       Impact factor: 1.095

6.  The uses of usefulness of binomial probability paper.

Authors:  F MOSTELLER; J W TUKEY
Journal:  J Am Stat Assoc       Date:  1949-06       Impact factor: 5.033

7.  Health care reform is on the way: do we want to compete on quality?

Authors:  R H Brook
Journal:  Ann Intern Med       Date:  1994-01-01       Impact factor: 25.391

8.  Report cards on cardiac surgeons. Assessing New York State's approach.

Authors:  J Green; N Wintfeld
Journal:  N Engl J Med       Date:  1995-05-04       Impact factor: 91.245

9.  The use and abuse of practice profiles.

Authors:  J P Kassirer
Journal:  N Engl J Med       Date:  1994-03-03       Impact factor: 91.245

10.  League tables and acute myocardial infarction.

Authors:  A H Leyland; F A Boddy
Journal:  Lancet       Date:  1998-02-21       Impact factor: 79.321
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  29 in total

1.  Performance league tables. League tables are unreasonably simple.

Authors:  Jonathan Howell; N Yonan; Peter M Dunn; Tom Aslan
Journal:  BMJ       Date:  2002-03-02

2.  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

3.  Mortality control charts for comparing performance of surgical units: validation study using hospital mortality data.

Authors:  Paris P Tekkis; Peter McCulloch; Adrian C Steger; Irving S Benjamin; Jan D Poloniecki
Journal:  BMJ       Date:  2003-04-12

4.  Monitoring mortality rates in general practice after Shipman.

Authors:  Richard Baker; David R Jones; Peter Goldblatt
Journal:  BMJ       Date:  2003-02-01

Review 5.  Bayesian methods in reporting and managing Australian clinical indicators.

Authors:  Peter P Howley; Stephen J Hancock; Robert W Gibberd; Sheuwen Chuang; Frank A Tuyl
Journal:  World J Clin Cases       Date:  2015-07-16       Impact factor: 1.337

6.  Just How Useful Are Health Rankings?

Authors:  Stephan Arndt
Journal:  Health Serv Res       Date:  2015-08-09       Impact factor: 3.402

7.  Control, compare and communicate: designing control charts to summarise efficiently data from multiple quality indicators.

Authors:  B Guthrie; T Love; T Fahey; A Morris; F Sullivan
Journal:  Qual Saf Health Care       Date:  2005-12

8.  Surgical report cards: the myth and the reality.

Authors:  Alan Henderson
Journal:  Monash Bioeth Rev       Date:  2009-09

9.  Validation of quality indicators for end-of-life communication: results of a multicentre survey.

Authors:  Daren K Heyland; Peter Dodek; John J You; Tasnim Sinuff; Tim Hiebert; Carolyn Tayler; Xuran Jiang; Jessica Simon; James Downar
Journal:  CMAJ       Date:  2017-07-31       Impact factor: 8.262

10.  The application of risk-adjusted control charts using the Paediatric Index of Mortality 2 for monitoring paediatric intensive care performance in Australia and New Zealand.

Authors:  Peter A Baghurst; Lynda Norton; Anthony Slater
Journal:  Intensive Care Med       Date:  2008-04-22       Impact factor: 17.440
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