Evidence map›Paper›PMID 38410755›Full record

ArticleTrauma surgery & acute care open2024

Crossing the line: access to trauma care across state borders.

Satvika Kumar, Jamie Song, Patrick M Reilly, Edward T Dickinson, David G Buckler, Diane N Haddad, Elinore Kaufman

Abstract read
In one paragraph

Article in Trauma surgery & acute care open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Satvika KumarUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0009-0002-3096-4831
Jamie SongUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Patrick M ReillyUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Edward T DickinsonUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
David G BucklerIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Diane N HaddadUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-0723-0832
Elinore KaufmanUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-7550-0024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the challenge posed by state borders by identifying the population, injury, and geographic scope of areas of the country where the closest trauma center is out-of-state, and by collating state emergency medical services (EMS) policies relevant to cross-border trauma transport. Methods: We identified designated levels I, II, and III trauma centers using data from American Trauma Society. ArcGIS was used to map the distance between US census block groups and trauma centers to identify the geographic areas for which cross-border transport may be most expedient. National Highway Traffic Safety Administration data were queried to quantify the proportion of fatal crashes occurring in the areas of interest. State EMS protocols were categorized by stance on cross-border transport. Results: Of 237 596 included US census block groups, 18 499 (7.8%) were closest to an out-of-state designated level I or II trauma center. These census block groups accounted for 6.9% of the US population and 9.5% of all motor vehicle fatalities. With the inclusion of level III trauma centers, the number of US census block groups closest to an out-of-state designated level I, II, or III trauma center decreased to 13 690 (5.8%). These census block groups accounted for 5.1% of the US population and 7.1% of all motor vehicle fatalities. Of the 48 contiguous states, 30 encourage cross-border transport, 2 discourage it, 12 are neutral, and 4 leave it to local discretion. Conclusion: Cross-border transport can expedite access to care in at least 5% of US census block groups. While few states discourage this practice, more robust policy guidance could reduce delays and enhance care. Level of Evidence: III, Epidemiological.

Indexed as

health disparities

Identifiers

PMID38410755
PMCPMC10895237

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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.