Evidence map›Paper›PMID 41479485›Full record

ArticleCureus2025

Trends in Varying Modes of Hospital Arrival: What Determines the Ideal Mode of Transportation?

Andrew W Gelis, Austin Henken-Siefken, Andrew McCague

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Andrew W GelisResearch, Rocky Vista University College of Osteopathic Medicine, Englewood, USA.
Austin Henken-SiefkenSurgery, Desert Regional Medical Center, Palm Springs, USA.
Andrew McCagueTrauma and Acute Care Surgery, Desert Regional Medical Center, Palm Springs, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Modes of transportation to hospitals can significantly alter the morbidity and mortality rates of medical emergencies. Identifying different modes of transportation as risk factors for mortality in emergency room (ER) visits can enhance understanding of safety. This study aimed to investigate the relationship between modes of transportation and mortality and to see how trends in various patient factors change over time. Methods A retrospective analysis was conducted utilizing data from the National Trauma Data Bank (NTDB) from 2012 to 2022. The study consisted of patients who arrived at an emergency room. Data regarding different modes of arrival and mortality outcome were queried, along with additional variables including patient age, sex, length of stay (LOS), injury severity score (ISS), and hospital discharge disposition. Chi-square analysis was performed to assess the independent association between these variables. Results A total of 11,716,771 patients were included. The mode of transportation among those who expired was as follows: 75.64% (215,059 patients) used ground ambulance, 20.66% (58,746 patients) used helicopter emergency medical services (HEMS), 2.63% (7,488 patients) used private/public vehicle/walk-ins, 0.71% (2,007 patients) used fixed-wing ambulance, and 0.36% (1,035 patients) used police. After adjustment for covariates, the analysis revealed a statistically significant (p<0.001) association across all years. The transportation mode with the highest percentage of total deaths across all years was helicopter ambulance (6.84%), followed by fixed-wing ambulance (4.28%) and ground ambulance (2.46%). Mortality rate and LOS increased across all modes of transportation from 2012 to 2022, except for police transports, which experienced decreased rates. Conclusion These data suggest that certain modes of transportation may face increased mortality risk, with the highest percentage of deaths from helicopter ambulance. With increased usage of certain modes of transportation over time, it allows us to question whether such transportation modes are justified by risk and cost. Further research is warranted to elucidate the underlying mechanisms contributing to these disparities.

Indexed as

ambulance transportemergency medicine and traumageneral trauma surgerysurgery generaltotal mortality ratetrauma centertrend analysis

Identifiers

PMID41479485
PMCPMC12753285

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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.