Evidence map›Paper›PMID 42814463›Full record

ArticleJAMA network open2026

Geographic Accessibility of Burn Centers in the United States.

Philong Nguyen, Joshua Wang, Yousef Tanas, Sudhanvan Iyer, Kamryn K Baker, Baijing Qin, Steven E Wolf, Jong Lee

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Philong NguyenJohn Sealy School of Medicine, University of Texas Medical Branch, Galveston.
Joshua WangJohn Sealy School of Medicine, University of Texas Medical Branch, Galveston.
Yousef TanasInstitute for Reconstructive Surgery, Houston Methodist Hospital, Weill Cornell Medicine, Texas.
Sudhanvan IyerJohn Sealy School of Medicine, University of Texas Medical Branch, Galveston.
Kamryn K BakerMcGovern Medical School at UTHealth Houston, Houston, Texas.
Baijing QinDepartment of Surgery, University of Texas Medical Branch, Galveston.
Steven E WolfDepartment of Surgery, University of Texas Medical Branch, Galveston.
Jong LeeDepartment of Surgery, University of Texas Medical Branch, Galveston.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Timely access to verified burn centers is associated with improved survival and functional outcomes after severe burn injury, yet no contemporary study has jointly characterized county-level burn center access, rural-urban gradients, and socioeconomic disparities using updated burn center data. Objective: To estimate county-level drive time to the nearest verified burn center across the contiguous US and to characterize regional, rural-urban, and income-related disparities in access. Design, Setting, and Participants: This was a cross-sectional, population-based geospatial analysis of counties in the contiguous US, including Washington, DC. Data were from 2020 population-weighted county centroids, geocoded verified burn center locations from the American Burn Association and BurnSurvivor.com directories, 2020 Rural-Urban Commuting Area classifications, and 2022 American Community Survey median household income. Data were analyzed December 2025. Exposures: County rural-urban classification (metropolitan, micropolitan, small town, and rural) and US census region (Northeast, Midwest, South, and West). Main Outcomes and Measures: Road-network drive time from each county's population-weighted centroid to the nearest verified burn center, estimated using the Google Maps Distance Matrix API; unweighted and population-weighted mean and median drive times nationally and by region; proportion of counties and population with drive times exceeding 2 and 4 hours; and the association between drive time and median household income. Results: Among 3109 counties (population, 329 260 619), the unweighted mean (SD) drive time was 1.96 (1.47) hours (median [IQR], 1.61 [1.02-2.39] hours) vs a population-weighted mean of 0.92 hours (median, 0.59 hours). Overall, 1107 counties (35.6%; 10.8% of the population) had drive times exceeding 2 hours, and 266 counties (8.6%; 1.7% of the population) exceeded 4 hours. The West had the greatest drive time burden (mean [SD], 3.08 [2.10] hours; 262 of 414 counties [63.3%] >2 hours) and the Northeast the least burden (mean [SD], 1.24 [0.74] hours; 35 of 218 counties [16.1%] >2 hours). Rural and small town counties had longer median drive times (1.76 [IQR, 1.26-2.53] hours and 2.18 [IQR, 1.54-3.27] hours, respectively) than metropolitan counties (0.86 [IQR, 0.47-1.58] hours). Lower income was associated with longer drive time nationally (R2 = 0.100) and regionally (R2 range, 0.070-0.273), most strongly in the West. Conclusions and Relevance: In this cross-sectional study of 3109 US counties, substantial disparities in drive time access to verified burn centers existed, concentrated among rural, small town, and Western counties, and were attenuated, although not eliminated, when weighted by population. These findings may inform burn system regionalization, aeromedical transport planning, and telemedicine expansion for underserved areas.

Indexed as

BurnsBurn UnitsHealth Services AccessibilityCross-Sectional StudiesHealthcare DisparitiesHumansRural PopulationSocioeconomic Disparities in HealthUnited StatesUrban Population

Identifiers

PMID42814463
PMCPMC13628315

What OpenQuestion holds

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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.