Evidence map›Paper›PMID 35128533›Full record

ArticleJournal of the American College of Emergency Physicians open2022

Association of health insurance coverage and probability of dying in an emergency department or hospital from a motor vehicle traffic injury.

Jim P Stimpson, Alec W Becker, Lindsay Shea, Fernando A Wilson

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jim P StimpsonDrexel University, Dornsife School of Public Health Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0002-1266-9436
Alec W BeckerDrexel University, A.J. Drexel Autism Institute Philadelphia Pennsylvania USA.
Lindsay SheaDrexel University, Dornsife School of Public Health Philadelphia Pennsylvania USA.
Fernando A WilsonUniversity of Utah, Matheson Center for Health Care Studies Salt Lake City Utah USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDescribe the association of health insurance coverage with the odds of mortality in an emergency department (ED) or hospital for adult victims of a motor vehicle crash.

methodsThis cross-sectional study pooled and averaged 6 years of data, 2009-2014, from the Nationwide Emergency Department Sample (NEDS). Our analysis was restricted to patients 20-85 years old that were treated in an ED for an injury sustained from a motor vehicle traffic crash (N = 2,203,407 average annual hospital discharges). The outcome variables were whether the motor vehicle crash victim died in the ED or hospital. The predictor variable was health insurance status that was measured as uninsured, Medicare, Medicaid, private insurance, and other health insurance.

resultsMost patients that died had some form of health insurance with less than a quarter classified as uninsured (23%). Nearly half of the patients that died had private insurance (48%) followed by Medicare (13%), Medicaid (9%), and other insurance (8%). Compared to the uninsured, the multivariate adjusted odds ratios (ORs) for death were significantly (

conclusionAfter accounting for hospital and patient characteristics, lack of health insurance was associated with a higher likelihood of death for patients admitted to an ED or hospital for injuries sustained from a motor vehicle crash.

Indexed as

emergency careemergency medicinehealth insurancemortalitymotor vehicleuninsured

Identifiers

PMID35128533
PMCPMC8795214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.