Evidence map›Paper›PMID 24592493›Full record

Observational studyAnnals of internal medicine2014

Insurance status and the transfer of hospitalized patients: an observational study.

Janel Hanmer, Xin Lu, Gary E Rosenthal, Peter Cram

Abstract readObservational Study
In one paragraph

Observational study in Annals of internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Janel Hanmer
Xin Lu
Gary E Rosenthal
Peter Cram

Funding

University of Iowa Clinical and Translational Science ProgramUL1TR000442 · NCATS · UNIVERSITY OF IOWA · PI ROSENTHAL, GARY E · 2012 to 2013
$10.0M
A Patient Activation Intervention to Enhance Bone HealthR01AG033035 · NIA · UNIVERSITY OF IOWA · PI WOLINSKY, FREDRIC D · 2010 to 2014
$7.0M
Cardiac care in specialty and general hospitalsR01HL085347 · NHLBI · UNIVERSITY OF IOWA · PI CRAM, PETER M · 2007 to 2010
$2.7M
Building Musculoskeletal Outcomes Research at the University of IowaK24AR062133 · NIAMS · UNIVERSITY OF IOWA · PI CRAM, PETER M · 2012 to 2016
$594k
NCATS NIH HHS 2 UL1 TR000442-06NCATS NIH HHS UL1 TR000442NHLBI NIH HHS R01 HL085347NIAMS NIH HHS AR062133NIAMS NIH HHS K24 AR062133NIA NIH HHS R01 AG033035
6 · The paper itself

Abstract

backgroundThere is little objective evidence to support concerns that patients are transferred between hospitals based on insurance status.

objectiveTo examine the relationship between patients' insurance coverage and interhospital transfer.

designData analyzed from the 2010 Nationwide Inpatient Sample. PATIENTS: All patients aged 18 to 64 years discharged alive from U.S. acute care hospitals with 1 of 5 common diagnoses (biliary tract disease, chest pain, pneumonia, septicemia, and skin or subcutaneous infection). MEASUREMENTS: For each diagnosis, the proportion of hospitalized patients who were transferred to another acute care hospital based on insurance coverage (private, Medicare, Medicaid, or uninsured) was compared. Logistic regression was used to estimate the odds of transfer for uninsured patients (reference category, privately insured) while patient- and hospital-level factors were adjusted for. All analyses incorporated sampling and poststratification weights.

resultsAmong 315 748 patients discharged from 1051 hospitals with any of the 5 diagnoses, the percentage of patients transferred to another acute care hospital varied from 1.3% (skin infection) to 5.1% (septicemia). In unadjusted analyses, uninsured patients were significantly less likely to be transferred for 3 diagnoses (P 0.05). In adjusted analyses, uninsured patients were significantly less likely to be transferred than privately insured patients for 4 diagnoses: biliary tract disease (odds ratio, 0.73 [95% CI, 0.55 to 0.96]), chest pain (odds ratio, 0.63 [CI, 0.44 to 0.89]), septicemia (odds ratio, 0.76 [CI, 0.64 to 0.91]), and skin infections (odds ratio, 0.64 [CI, 0.46 to 0.89]). Women were significantly less likely to be transferred than men for all diagnoses. LIMITATION: This analysis relied on administrative data and lacked clinical detail.

conclusionUninsured patients (and women) were significantly less likely to undergo interhospital transfer. Differences in transfer rates may contribute to health care disparities. PRIMARY FUNDING SOURCE: National Institutes of Health.

Indexed as

Insurance CoverageInsurance, HealthPatient TransferAdolescentAdultFemaleHumansMaleMedically UninsuredMiddle AgedSex FactorsSocioeconomic FactorsUnited States

Identifiers

PMID24592493
PMCPMC4157678

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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.