Literature DB >> 9641927

Annual league tables of mortality in neonatal intensive care units: longitudinal study. International Neonatal Network and the Scottish Neonatal Consultants and Nurses Collaborative Study Group.

G J Parry1, C R Gould, C J McCabe, W O Tarnow-Mordi.   

Abstract

OBJECTIVE: To assess whether crude league tables of mortality and league tables of risk adjusted mortality accurately reflect the performance of hospitals.
DESIGN: Longitudinal study of mortality occurring in hospital.
SETTING: 9 neonatal intensive care units in the United Kingdom.
SUBJECTS: 2671 very low birth weight or preterm infants admitted to neonatal intensive care units between 1988 and 1994. MAIN OUTCOME MEASURES: Crude hospital mortality and hospital mortality adjusted using the clinical risk index for babies (CRIB) score.
RESULTS: Hospitals had wide and overlapping confidence intervals when ranked by mortality in annual league tables; this made it impossible to discriminate between hospitals reliably. In most years there was no significant difference between hospitals, only random variation. The apparent performance of individual hospitals fluctuated substantially from year to year.
CONCLUSIONS: Annual league tables are not reliable indicators of performance or best practice; they do not reflect consistent differences between hospitals. Any action prompted by the annual league tables would have been equally likely to have been beneficial, detrimental, or irrelevant. Mortality should be compared between groups of hospitals using specific criteria-such as differences in the volume of patients, staffing policy, training of staff, or aspects of clinical practice-after adjusting for risk. This will produce more reliable estimates with narrower confidence intervals, and more reliable and rapid conclusions.

Entities:  

Mesh:

Year:  1998        PMID: 9641927      PMCID: PMC28588          DOI: 10.1136/bmj.316.7149.1931

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


  14 in total

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Authors:  D W Yates; M Woodford; S Hollis
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2.  Predicting death from initial disease severity in very low birthweight infants: a method for comparing the performance of neonatal units.

Authors:  W Tarnow-Mordi; S Ogston; A R Wilkinson; E Reid; J Gregory; M Saeed; R Wilkie
Journal:  BMJ       Date:  1990-06-23

3.  Indicators of clinical performance.

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4.  Use of the CRIB (clinical risk index for babies) score in prediction of neonatal mortality and morbidity.

Authors:  R H de Courcy-Wheeler; C D Wolfe; A Fitzgerald; M Spencer; J D Goodman; H R Gamsu
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  1995-07       Impact factor: 5.747

5.  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

6.  The CRIB (clinical risk index for babies) score: a tool for assessing initial neonatal risk and comparing performance of neonatal intensive care units. The International Neonatal Network.

Authors: 
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7.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

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8.  Impact of quality-of-care factors on pediatric intensive care unit mortality.

Authors:  M M Pollack; T T Cuerdon; K M Patel; U E Ruttimann; P R Getson; M Levetown
Journal:  JAMA       Date:  1994-09-28       Impact factor: 56.272

9.  Detecting differences in quality of care: the sensitivity of measures of process and outcome in treating acute myocardial infarction.

Authors:  J Mant; N Hicks
Journal:  BMJ       Date:  1995-09-23

10.  Variation in outcome after acute upper gastrointestinal haemorrhage. The National Audit of Acute Upper Gastrointestinal Haemorrhage.

Authors:  T A Rockall; R F Logan; H B Devlin; T C Northfield
Journal:  Lancet       Date:  1995-08-05       Impact factor: 79.321

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  30 in total

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Authors:  A M Heuchan; N Evans; D J Henderson Smart; J M Simpson
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2.  Variations in mortality rates among Canadian neonatal intensive care units: interpretation and implications.

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Journal:  CMAJ       Date:  2002-01-22       Impact factor: 8.262

3.  Survival and place of delivery following preterm birth: 1994-96.

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Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  1999-03       Impact factor: 5.747

4.  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
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Review 5.  Public release of performance data in changing the behaviour of healthcare consumers, professionals or organisations.

Authors:  Nicole A B M Ketelaar; Marjan J Faber; Signe Flottorp; Liv Helen Rygh; Katherine H O Deane; Martin P Eccles
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6.  Variations in mortality rates among Canadian NICUs--and anonymous reporting.

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Journal:  CMAJ       Date:  2002-07-23       Impact factor: 8.262

7.  Bench marking and performance management in neonatal care: easier said than done!

Authors:  D Field; B Manktelow; E S Draper
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2002-11       Impact factor: 5.747

8.  Social capital and leisure time physical activity: a population based multilevel analysis in Malmö, Sweden.

Authors:  M Lindström; M Moghaddassi; J Merlo
Journal:  J Epidemiol Community Health       Date:  2003-01       Impact factor: 3.710

Review 9.  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

10.  Just How Useful Are Health Rankings?

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

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