Evidence map›Paper›PMID 30848804›Full record

ArticleJAMA network open2019

Race/Ethnicity and Geographic Access to Urban Trauma Care.

Elizabeth L Tung, David A Hampton, Marynia Kolak, Selwyn O Rogers, Joyce P Yang, Monica E Peek

Abstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. The influence of socioeconomic status on pre-hospital triage in the Netherlands; a multi-center cohort study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
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  15. Black Bioethics in the Age of Black Lives Matter.The Journal of medical humanities · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Elizabeth L TungSection of General Internal Medicine and Center for Health and the Social Sciences, University of Chicago, Chicago, Illinois.
David A HamptonSection of Trauma and Acute Care Surgery, Department of Surgery, University of Chicago, Chicago, Illinois.
Marynia KolakCenter for Spatial Data Science, University of Chicago, Chicago, Illinois.
Selwyn O RogersSection of Trauma and Acute Care Surgery, Department of Surgery, University of Chicago, Chicago, Illinois.
Joyce P YangDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.
Monica E PeekSection of General Internal Medicine, MacLean Center for Clinical Medical Ethics, and Center for the Study of Race, Politics and Culture, University of Chicago, Chicago, Illinois.

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI ELBERT S. HUANG · 2011 to 2026
$10.0M
The University of Chicago Patient Centered Outcomes Research K12 Training ProgramK12HS023007 · AHRQ · UNIVERSITY OF CHICAGO · PI MELTZER, DAVID O · 2014 to 2018
$3.2M
AHRQ HHS K12 HS023007NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

Importance: Little is known about the distribution of life-saving trauma resources by racial/ethnic composition in US cities, and if racial/ethnic minority populations disproportionately live in US urban trauma deserts. Objective: To examine racial/ethnic differences in geographic access to trauma care in the 3 largest US cities, considering the role of residential segregation and neighborhood poverty. Design, Setting, and Participants: A cross-sectional, multiple-methods study evaluated census tract data from the 2015 American Community Survey in Chicago, Illinois; Los Angeles (LA), California; and New York City (NYC), New York (N = 3932). These data were paired to geographic coordinates of all adult level I and II trauma centers within an 8.0-km buffer of each city. Between February and September 2018, small-area analyses were conducted to assess trauma desert status as a function of neighborhood racial/ethnic composition, and geospatial analyses were conducted to examine statistically significant trauma desert hot spots. Main Outcomes and Measures: In small-area analyses, a trauma desert was defined as travel distance greater than 8.0 km to the nearest adult level I or level II trauma center. In geospatial analyses, relative trauma deserts were identified using travel distance as a continuous measure. Census tracts were classified into (1) racial/ethnic composition categories, based on patterns of residential segregation, including white majority, black majority, Hispanic/Latino majority, and other or integrated; and (2) poverty categories, including nonpoor and poor. Results: Chicago, LA, and NYC contained 798, 1006, and 2128 census tracts, respectively. A large proportion comprised a black majority population in Chicago (35.1%) and NYC (21.4%), compared with LA (2.7%). In primary analyses, black majority census tracts were more likely than white majority census tracts to be located in a trauma desert in Chicago (odds ratio [OR], 8.48; 95% CI, 5.71-12.59) and LA (OR, 5.11; 95% CI, 1.50-17.39). In NYC, racial/ethnic disparities were not significant in unadjusted models, but were significant in models adjusting for poverty and race-poverty interaction effects (adjusted OR, 1.87; 95% CI, 1.27-2.74). In comparison, Hispanic/Latino majority census tracts were less likely to be located in a trauma desert in NYC (OR, 0.03; 95% CI, 0.01-0.11) and LA (OR, 0.30; 95% CI, 0.22-0.40), but slightly more likely in Chicago (OR, 2.38; 95% CI, 1.56-3.64). Conclusions and Relevance: In this study, black majority census tracts were the only racial/ethnic group that appeared to be associated with disparities in geographic access to trauma centers.

Indexed as

Trauma CentersUrban Health ServicesAdultCross-Sectional StudiesEthnicityFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMaleResidence CharacteristicsSocioeconomic FactorsUnited States

Identifiers

PMID30848804
PMCPMC6484639

What OpenQuestion holds

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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.