Literature DB >> 7943479

Comparing hospitals that perform coronary artery bypass surgery: the effect of outcome measures and data sources.

A J Hartz1, E M Kuhn.   

Abstract

OBJECTIVES: The relative quality of hospital care often is judged by comparing risk-adjusted rates of adverse outcomes. This study evaluated whether hospital quality comparisons are affected by the choice of outcome and the use of administrative data instead of clinical data.
METHODS: The data were collected from 2687 coronary artery bypass surgery patients from 17 hospitals. All patients were on Medicare. For 10 hospitals with 94 to 713 patients, risk-adjusted outcomes for death, major complications, and any complications were derived from a clinically rich database and an administrative database.
RESULTS: The correlations between adjusted hospital rankings derived from the clinical and administrative databases were not significant: .48 for mortality, .21 for major complications, and -.14 for any complication. When only the clinical database was used, the correlation between risk-adjusted hospital rankings for mortality and major complications was .77 (P < .01) and the correlation between major complications and any complication was -.45.
CONCLUSIONS: These results suggest assessing quality of care by the use of administrative data may not be adequate and that quality assessment by the use of clinical data may depend greatly on the outcome chosen.

Entities:  

Mesh:

Year:  1994        PMID: 7943479      PMCID: PMC1615096          DOI: 10.2105/ajph.84.10.1609

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  31 in total

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Journal:  Eur Heart J       Date:  1989-12       Impact factor: 29.983

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Authors:  E L Hannan; H R Bernard; J F O'Donnell; H Kilburn
Journal:  Am J Public Health       Date:  1989-04       Impact factor: 9.308

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  10 in total

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Authors:  A J Hartz; J S Pulido; E M Kuhn
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Review 5.  Risk assessment methods for cardiac surgery and intervention.

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8.  A multivariate Bayesian model for assessing morbidity after coronary artery surgery.

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10.  SUPPORT tools for evidence-informed policymaking in health 11: Finding and using evidence about local conditions.

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  10 in total

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