Literature DB >> 12911641

Mortality and length of stay in a veterans affairs hospital and private sector hospitals serving a common market.

Gary E Rosenthal1, Mary Vaughan Sarrazin, Dwain L Harper, Susan M Fuehrer.   

Abstract

OBJECTIVE: To compare severity-adjusted in-hospital mortality and length of stay (LOS) in a Veterans Administration (VA) hospital and private sector hospitals serving the same health care market.
DESIGN: Retrospective cohort study.
SETTING: A large VA hospital and 27 private sector hospitals in the same metropolitan area. PATIENTS: Consecutive VA (N = 1,960) and private sector (N = 157,147) admissions in 1994 to 1995 with 9 high-volume diagnoses. MEASUREMENTS: Severity of illness was measured using validated multivariable models that were based on data abstracted from medical records. Outcomes were adjusted for severity and compared in VA and private sector patients using multiple logistic or linear regression analysis. MAIN
RESULTS: Unadjusted mortality was similar in VA and private sector patients (5.0% vs 5.6%, respectively; P =.26), although mean LOS was longer in VA patients (12.7 vs 7.0 days; P <.001). Adjusting for severity, the odds of death in VA patients was similar (odds ratio [OR] 1.07; 95% confidence interval [95% CI], 0.74 to 1.54; P =.73). However, a larger proportion of deaths in VA patients occurred later during hospitalization (P <.001), and the odds of death in VA patients were actually lower (P <.05) in analyses limited to deaths during the first 7 (OR, 0.56) or 14 (OR, 0.63) days. Adjusted LOS was longer (P <.001) in VA patients for all 9 diagnoses.
CONCLUSIONS: If the current findings generalizable to other markets, hospital mortality, a widely used performance measure, may be similar or lower in VA and private sector hospitals serving the same markets. The longer LOS of VA patients may reflect differences in practice patterns and may be an important source of bias in comparisons of VA and private sector hospitals.

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Year:  2003        PMID: 12911641      PMCID: PMC1494896          DOI: 10.1046/j.1525-1497.2003.11209.x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  32 in total

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2.  Length of stay in the VA. Long-term care in short-term hospitals.

Authors:  F D Wolinsky; R M Coe; R R Mosely
Journal:  Med Care       Date:  1987-03       Impact factor: 2.983

3.  Shattuck lecture--outcomes management. A technology of patient experience.

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Journal:  N Engl J Med       Date:  1988-06-09       Impact factor: 91.245

4.  Longer hospitalization at Veterans Administration hospitals than private hospitals. Verification and additional insights.

Authors:  J L Rogers; J Feinglass; G J Martin; R L Hughes; I Handler; G B Stoms
Journal:  Med Care       Date:  1989-10       Impact factor: 2.983

5.  Effectiveness in health care. An initiative to evaluate and improve medical practice.

Authors:  W L Roper; W Winkenwerder; G M Hackbarth; H Krakauer
Journal:  N Engl J Med       Date:  1988-11-03       Impact factor: 91.245

6.  Hospital inpatient mortality. Is it a predictor of quality?

Authors:  R W Dubois; W H Rogers; J H Moxley; D Draper; R H Brook
Journal:  N Engl J Med       Date:  1987-12-24       Impact factor: 91.245

7.  Increased risk of death in patients with do-not-resuscitate orders.

Authors:  L B Shepardson; S J Youngner; T Speroff; G E Rosenthal
Journal:  Med Care       Date:  1999-08       Impact factor: 2.983

8.  Outcome of myocardial infarction in Veterans Health Administration patients as compared with medicare patients.

Authors:  L A Petersen; S L Normand; J Daley; B J McNeil
Journal:  N Engl J Med       Date:  2000-12-28       Impact factor: 91.245

9.  Length of stay as a source of bias in comparing performance in VA and private sector facilities: lessons learned from a regional evaluation of intensive care outcomes.

Authors:  P J Kaboli; M J Barnett; S M Fuehrer; G E Rosenthal
Journal:  Med Care       Date:  2001-09       Impact factor: 2.983

10.  Flaws in mortality data. The hazards of ignoring comorbid disease.

Authors:  S Greenfield; H U Aronow; R M Elashoff; D Watanabe
Journal:  JAMA       Date:  1988-10-21       Impact factor: 56.272

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Authors:  Kelly K Richardson; Peter Cram; Mary Vaughan-Sarrazin; Peter J Kaboli
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Authors:  Mary S Vaughan-Sarrazin; Bonnie Wakefield; Gary E Rosenthal
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4.  Patient preference and contraindications in measuring quality of care: what do administrative data miss?

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  4 in total

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