Evidence map›Paper›PMID 26517780›Full record

ArticleThe journal of trauma and acute care surgery2016

Geographic distribution of trauma centers and injury-related mortality in the United States.

Joshua B Brown, Matthew R Rosengart, Timothy R Billiar, Andrew B Peitzman, Jason L Sperry

Abstract read
In one paragraph

Article in The journal of trauma and acute care surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  5. Disparities in Access to Trauma Care in Canada: A Geospatial Analysis of Census Data.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
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  17. Locating trauma centers considering patient safety.Health care management science · 2022
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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

5 authors.

Joshua B BrownFrom the Division of General Surgery and Trauma, Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Matthew R Rosengart
Timothy R Billiar
Andrew B Peitzman
Jason L Sperry

Funding

TRAINING IN TRAUMA AND SEPSIS RESEARCHT32GM008516 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TIMOTHY R BILLIAR · 1994 to 2026
$9.4M
Characterization of the Mechanisms Responsible for Sex Based Outcome Difference FK23GM093032 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SPERRY, JASON LEE · 2010 to 2014
$597k
NIGMS NIH HHS 5-T32-GM-008516-20NIGMS NIH HHS K23 GM093032NIGMS NIH HHS K23GM093032NIGMS NIH HHS L30 GM112034NIGMS NIH HHS T32 GM008516
6 · The paper itself

Abstract

backgroundRegionalized trauma care improves outcomes; however, access to care is not uniform across the United States. The objective was to evaluate whether geographic distribution of trauma centers correlates with injury mortality across state trauma systems.

methodsLevel I or II trauma centers in the contiguous United States were mapped. State-level age-adjusted injury fatality rates per 100,000 people were obtained and evaluated for spatial autocorrelation. Nearest neighbor ratios (NNRs) were generated for each state. A NNR less than 1 indicates clustering, while a NNR greater than 1 indicates dispersion. NNRs were tested for difference from random geographic distribution. Fatality rates and NNRs were examined for correlation. Fatality rates were compared between states with trauma center clustering versus dispersion. Trauma center distribution and population density were evaluated. Spatial-lag regression determined the association between fatality rate and NNR, controlling for state-level demographics, population density, injury severity, trauma system resources, and socioeconomic factors.

resultsFatality rates were spatially autocorrelated (Moran's I = 0.35, p < 0.01). Nine states had a clustered pattern (median NNR, 0.55; interquartile range [IQR], 0.48-0.60), 22 had a dispersed pattern (median NNR, 2.00; IQR, 1.68-3.99), and 10 had a random pattern (median NNR, 0.90; IQR, 0.85-1.00) of trauma center distribution. Fatality rate and NNR were correlated (ρ = 0.34, p = 0.03). Clustered states had a lower median injury fatality rate compared with dispersed states (56.9 [IQR, 46.5-58.9] vs. 64.9 [IQR, 52.5-77.1]; p = 0.04). Dispersed compared with clustered states had more counties without a trauma center that had higher population density than counties with a trauma center (5.7% vs. 1.2%, p < 0.01). Spatial-lag regression demonstrated that fatality rates increased by 0.02 per 100,000 persons for each unit increase in NNR (p < 0.01).

conclusionGeographic distribution of trauma centers correlates with injury mortality, with more clustered state trauma centers associated with lower fatality rates. This may be a result of access relative to population density. These results may have implications for trauma system planning and require further study to investigate underlying mechanisms. LEVEL OF EVIDENCE: Therapeutic/care management study, level IV.

Indexed as

Hospital MortalityGeographyHumansTrauma CentersUnited StatesWounds and Injuries

Identifiers

PMID26517780
PMCPMC4688077

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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.