Evidence map›Paper›PMID 21135295›Full record

ArticleAnnals of internal medicine2010

For-profit hospital status and rehospitalizations at different hospitals: an analysis of Medicare data.

Amy J H Kind, Christie Bartels, Matthew W Mell, John Mullahy, Maureen Smith

Abstract read
In one paragraph

Article in Annals of internal medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Trial
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  6. The risk of death or unplanned readmission after discharge from a COVID-19 hospitalization in Alberta and Ontario.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022
    Article
  7. Article
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  10. Reducing excess hospital readmissions: Does destination matter?International journal of health economics and management · 2018
    Article
  11. Article
  12. Article
  13. Article
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  16. Predictors and outcomes of unplanned readmission to a different hospital.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2015
    Article
  17. Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Amy J H KindUniversity of Wisconsin School of Medicine and Public Health and William S. Middleton Veterans Affairs Hospital-Geriatric Research Education and Clinical Center, Madison, Wisconsin, USA. ajk@medicine.wisc.edu
Christie Bartels
Matthew W Mell
John Mullahy
Maureen Smith

Funding

INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Institutional Clinical and Translational Science Award (UW-Madison)KL2RR025012 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$11.1M
The Hospital Discharge Summary's Impact on Sub-Acute Care Patient OutcomesK23AG034551 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI KIND, AMY J. · 2010 to 2012
$556k
NCRR NIH HHS 1KL2RR025012-01NCRR NIH HHS 1UL1RR025011NCRR NIH HHS KL2 RR025012NCRR NIH HHS L30 RR025328NCRR NIH HHS UL1 RR025011NIA NIH HHS K23 AG034551
6 · The paper itself

Abstract

backgroundAbout one quarter of rehospitalized Medicare patients are admitted to hospitals different from their original hospital. The extent to which this practice is related to for-profit hospital status and affects payments and mortality is unknown.

objectiveTo describe and examine predictors of and payments for rehospitalization at a different hospital among Medicare patients rehospitalized within 30 days at for-profit and nonprofit or public hospitals.

designCohort study of patients discharged and rehospitalized from January 2005 to November 2006.

settingMedicare fee-for-service hospitals throughout the United States.

participantsA 5% random national sample of Medicare patients with acute care rehospitalizations within 30 days of discharge (n = 74,564). MEASUREMENTS: 30-day rehospitalizations at different hospitals and total payments or mortality over the subsequent 30 days. Multivariate logistic and quantile regression models included index hospital for-profit status, discharge counts, geographic region, rural-urban commuting area, and teaching status; patient sociodemographic characteristics, disability status, and comorbid conditions; and a measure of risk adjustment.

results16 622 patients (22%) in the sample were rehospitalized at a different hospital. Factors associated with increased risk for rehospitalization at a different hospital included index hospitalization at a for-profit, major medical school-affiliated, or low-volume hospital and having a Medicare-defined disability. Compared with patients rehospitalized at the same hospital, patients rehospitalized at different hospitals had higher adjusted 30-day total payments (median additional cost, $1308 per patient; P < 0.001) but no statistically significant differences in 30-day mortality, regardless of index hospital for-profit status. LIMITATION: The database lacked detailed clinical information about patients and did not include information about specific provider practice motivations or the role of patient choice in hospitalization venues.

conclusionRehospitalizations at different hospitals are common among Medicare patients, are more likely among those initially hospitalized at a for-profit hospital, and are related to increased overall payments without improved mortality. PRIMARY FUNDING SOURCE: University of Wisconsin Hartford Center of Excellence in Geriatrics, National Institutes of Health.

Indexed as

AgedFemaleHospital Bed CapacityHospitalizationHospital MortalityHospitals, ProprietaryHospitals, PublicHospitals, UniversityHumansMaleMedicareMiddle AgedOdds RatioTime FactorsUnited States

Identifiers

PMID21135295
PMCPMC3058683

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.