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

Overview of attention for article published in Journal of General Internal Medicine, August 2003
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  • Above-average Attention Score compared to outputs of the same age (57th percentile)

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Article details
Title
Mortality and length of stay in a veterans affairs hospital and private sector hospitals serving a common market
Published in
Journal of General Internal Medicine, August 2003
DOI 10.1046/j.1525-1497.2003.11209.x
Pubmed ID
Authors
Abstract

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. Retrospective cohort study. A large VA hospital and 27 private sector hospitals in the same metropolitan area. Consecutive VA (N = 1,960) and private sector (N = 157,147) admissions in 1994 to 1995 with 9 high-volume diagnoses. 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. 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. 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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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Researcher 2 25%
Professor > Associate Professor 1 13%
Student > Postgraduate 1 13%
Unknown 2 25%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 4 50%
Business, Management and Accounting 2 25%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 November 2025.
All research outputs
#11,339,996
of 34,641,744 outputs
Outputs from Journal of General Internal Medicine
#4,979
of 10,057 outputs
Outputs of similar age
#32,384
of 77,185 outputs
Outputs of similar age from Journal of General Internal Medicine
#21
of 25 outputs
Altmetric has tracked 34,641,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 10,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 77,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.