Literature DB >> 2649752

The condition of the literature on differences in hospital mortality.

A Fink1, E M Yano, R H Brook.   

Abstract

The quiescent interest in understanding the variations in the quality of hospital care has been revitalized recently with the government's release of hospital-specific mortality data. The authors reviewed all published studies that either named hospitals and gave their death rates or explored which of their characteristics explained the differences in their rates. The literature is only in fair condition. It is sparse and flawed, and, before the government's release, did not identify an individual hospital's mortality experience by name. Twenty-two studies were analyzed; only five (23%) met criteria for validity. Seventeen (77%) focused on in-hospital mortality. Data were collected for a short time, were not gathered uniformly, and came from a sample of local hospitals. Researchers identified and explained limitations in their studies and were particularly concerned with their inability to measure differences in patients that might affect death rates. Several characteristics of hospital care were found to be associated with lower inpatient mortality: communication among and commitment of staff, clinical experience and performing operations frequently, board certification, size, and teaching status. The authors urge caution in applying the literature's findings to evaluations of hospital quality and offer suggestions for researchers. Improved research is critically important in facilitating current policy discussions regarding the use of mortality as a measure of hospital quality.

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Year:  1989        PMID: 2649752     DOI: 10.1097/00005650-198904000-00001

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  10 in total

1.  Quality of care: 1. What is quality and how can it be measured? Health Services Research Group.

Authors: 
Journal:  CMAJ       Date:  1992-06-15       Impact factor: 8.262

2.  Modeling organizational determinants of hospital mortality.

Authors:  A S al-Haider; T T Wan
Journal:  Health Serv Res       Date:  1991-08       Impact factor: 3.402

3.  Interhospital variations in admission severity-adjusted hospital mortality and morbidity.

Authors:  R C Bradbury; F E Stearns; P M Steen
Journal:  Health Serv Res       Date:  1991-10       Impact factor: 3.402

4.  Examining the validity of severity measures in today's health policy context.

Authors:  L I Iezzoni
Journal:  J Gen Intern Med       Date:  1995-07       Impact factor: 5.128

5.  Evaluating perinatal mortality rates: effects of referral and case mix.

Authors:  M Clarke; E S Mason; J MacVicar; D G Clayton
Journal:  BMJ       Date:  1993-03-27

6.  Comparing the dangers of a stay in English and German hospitals for high-need patients.

Authors:  Rocco Friebel; Cornelia Henschke; Laia Maynou
Journal:  Health Serv Res       Date:  2021-09-05       Impact factor: 3.402

7.  A survey of newspaper coverage of HCFA hospital mortality data.

Authors:  J Rudd; K Glanz
Journal:  Public Health Rep       Date:  1991 Sep-Oct       Impact factor: 2.792

8.  Correlations among risk-standardized mortality rates and among risk-standardized readmission rates within hospitals.

Authors:  Leora I Horwitz; Yongfei Wang; Mayur M Desai; Leslie A Curry; Elizabeth H Bradley; Elizabeth E Drye; Harlan M Krumholz
Journal:  J Hosp Med       Date:  2012-08-03       Impact factor: 2.960

9.  Referral selection bias in the Medicare hospital mortality prediction model: are centers of referral for Medicare beneficiaries necessarily centers of excellence?

Authors:  D J Ballard; S C Bryant; P C O'Brien; D W Smith; M B Pine; D A Cortese
Journal:  Health Serv Res       Date:  1994-02       Impact factor: 3.402

Review 10.  Stroke care: how do we measure quality?

Authors:  Kieran Walsh; P H Gompertz; A G Rudd
Journal:  Postgrad Med J       Date:  2002-06       Impact factor: 2.401

  10 in total

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