Literature DB >> 2252925

Are readmissions avoidable?

A Clarke1.   

Abstract

OBJECTIVE: To examine the possible use of readmission rates as an outcome indicator of hospital inpatient care by investigating avoidability of unplanned readmissions within 28 days of discharge.
DESIGN: Retrospective analysis of a stratified random sample of case notes of patients with an unplanned readmission between July 1987 and June 1988 by nine clinical assessors (263 assessments) and categorisation of the readmission as avoidable, unavoidable, or unclassifiable.
SETTING: District in North East Thames region. 481 General medical, geriatric, and general surgical inpatients with a readmission at 0-6 days or 21-27 days after the first (index) discharge between July 1987 and June 1988 from whom 100 case notes were selected randomly and of which 74 were available for study. MAIN OUTCOME MEASURES: Assessment of readmissions as avoidable, unavoidable, unclassifiable, variability of assessment within cases and variability among assessors according to specialty and duration to readmission.
RESULTS: General medical and geriatric readmissions and surgical readmissions at 0-6 days after discharge were more likely to be assessed as avoidable than those at 21-27 days (medical readmissions 32 v 6%, surgical admissions 49 v 19%). General surgical readmissions were significantly more frequently assessed as avoidable than general medical and geriatric readmissions. The extent of agreement between doctors varied, with general medical and geriatric readmissions at 21-27 days after first discharge causing the greatest variability of judgment.
CONCLUSIONS: Differences were apparent in the extent of avoidability of readmissions in different groups of admissions. However, assessors rated only 49.3% of the group with the highest proportion of avoidable admissions (surgical readmissions at 0-6 days) as avoidable. The remainder were thought to be unavoidable except for 2%, which could not be classified. The use of readmission rates as an outcome indicator of hospital inpatient care should be avoided.

Entities:  

Mesh:

Year:  1990        PMID: 2252925      PMCID: PMC1664306          DOI: 10.1136/bmj.301.6761.1136

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


  3 in total

1.  On the methods and theory of reliability.

Authors:  J J Bartko; W T Carpenter
Journal:  J Nerv Ment Dis       Date:  1976-11       Impact factor: 2.254

2.  Measuring readmission rates.

Authors:  M Chambers; A Clarke
Journal:  BMJ       Date:  1990-11-17

3.  Can readmissions to a geriatric medical unit be prevented?

Authors:  H Graham; B Livesley
Journal:  Lancet       Date:  1983-02-19       Impact factor: 79.321

  3 in total
  23 in total

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Journal:  Qual Health Care       Date:  1999-12

2.  The TAPS project. 17: Readmission to hospital for long term psychiatric patients after discharge to the community.

Authors:  G Thornicroft; C Gooch; D Dayson
Journal:  BMJ       Date:  1992-10-24

3.  The consultant episode: an unhelpful measure.

Authors:  A Clarke; M McKee
Journal:  BMJ       Date:  1992-11-28

4.  Can readmission rates be used as an outcome indicator?

Authors:  R Milne; A Clarke
Journal:  BMJ       Date:  1990-11-17

5.  Readmission rates.

Authors: 
Journal:  BMJ       Date:  1991-02-16

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Journal:  BMJ       Date:  1990-12-08

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Review 8.  Proportion of hospital readmissions deemed avoidable: a systematic review.

Authors:  Carl van Walraven; Carol Bennett; Alison Jennings; Peter C Austin; Alan J Forster
Journal:  CMAJ       Date:  2011-03-28       Impact factor: 8.262

9.  Audit of vascular surgical workload: use of data for service development.

Authors:  P J Curley; J I Spark; R C Kester; D J Scott
Journal:  Ann R Coll Surg Engl       Date:  1996-05       Impact factor: 1.891

10.  Hospital readmission in general medicine patients: a prediction model.

Authors:  Omar Hasan; David O Meltzer; Shimon A Shaykevich; Chaim M Bell; Peter J Kaboli; Andrew D Auerbach; Tosha B Wetterneck; Vineet M Arora; James Zhang; Jeffrey L Schnipper
Journal:  J Gen Intern Med       Date:  2009-12-15       Impact factor: 5.128

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