Evidence map›Paper›PMID 30276655›Full record

Observational studyJournal of general internal medicine2018

Insurance Coverage Predicts Mortality in Patients Transferred Between Hospitals: a Cross-Sectional Study.

Michael G Usher, Christine Fanning, Vivian W Fang, Madeline Carroll, Amay Parikh, Anne Joseph, Dana Herrigel

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A nationwide retrospective analysis of ventilator-associated pneumonia in the US.Proceedings (Baylor University. Medical Center) · 2022
    Article
  8. Article
  9. Observational
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Michael G UsherDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, Minneapolis, MN, USA. mgusher@umn.edu.
Christine FanningDepartment of Medicine, Division of General Internal Medicine, Rutgers, Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Vivian W FangDepartment of Accounting, Carlson School of Management, University of Minnesota, Minneapolis, MN, USA.
Madeline CarrollDepartment of Medicine, Division of General Internal Medicine, Rutgers, Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Amay ParikhDepartment of Medicine, Divisions of Nephrology and Critical Care, Rutgers, Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Anne JosephDepartment of Medicine, Division of General Internal Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
Dana HerrigelDepartment of Hospital Internal Medicine, Mayo Clinic Florida, Jacksonville, FL, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
NCATS NIH HHS UL1 TR000114
6 · The paper itself

Abstract

backgroundPatients transferred between hospitals are at high risk of adverse events and mortality. The relationship between insurance status, transfer practices, and outcomes has not been definitively characterized.

objectiveTo identify the association between insurance coverage and mortality of patients transferred between hospitals.

designWe conducted a single-institution observational study, and validated results using a national administrative database of inter-hospital transfers.

settingThree ICUs at an academic tertiary care center validated by a nationally representative sample of inter-hospital transfers. PATIENTS: The single-institution analysis included 652 consecutive patients transferred from 57 hospitals between 2011 and 2012. The administrative database included 353,018 patients transferred between 437 hospitals. MEASUREMENTS: Adjusted inpatient mortality and 24-h mortality, stratified by insurance status.

resultsOf 652 consecutive transfers to three ICUs, we observed that uninsured patients had higher adjusted inpatient mortality (OR 2.67, p = 0.021) when controlling for age, race, gender, Apache-II, and whether the patient was transferred from an ED. Uninsured were more likely to be transferred from ED (OR 2.3, p = 0.026), and earlier in their hospital course (3.9 vs 2.0 days, p = 0.002). Using an administrative dataset, we validated these observations, finding that the uninsured had higher adjusted inpatient mortality (OR 1.24, 95% CI 1.13-1.36, p < 0.001) and higher mortality within 24 h (OR 1.33 95% CI 1.11-1.60, p < 0.002). The increase in mortality was independent of patient demographics, referral patterns, or diagnoses. LIMITATIONS: This is an observational study where transfer appropriateness cannot be directly assessed.

conclusionsUninsured patients are more likely to be transferred from an ED and have higher mortality. These data suggest factors that drive inter-hospital transfer of uninsured patients have the potential to exacerbate outcome disparities.

Indexed as

AdultAgedCross-Sectional StudiesDatabases, FactualFemaleForecastingHealthcare DisparitiesHumansInsurance CoverageMaleMiddle AgedMortalityPatient TransferPilot ProjectsTertiary Care Centershealth disparitieshospital ownershipinsuranceinter-hospital transfers

Identifiers

PMID30276655
PMCPMC6258597

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.