Evidence map›Paper›PMID 35331209›Full record

ArticleBMC health services research2022

National travel distances for emergency care.

Anagha Tolpadi, Marc N Elliott, Daniel Waxman, Kirsten Becker, Elizabeth Flow-Delwiche, William G Lehrman, Debra Stark, Layla Parast

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. [Utilisation of emergency departments: Is the emergency level relevant?]Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026
    Article
  3. Article
  4. Article
  5. Article
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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

8 authors.

Anagha TolpadiRAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA. atolpadi@rand.org.
Marc N ElliottRAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA.
Daniel WaxmanRAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA.
Kirsten BeckerRAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA.
Elizabeth Flow-DelwicheCenters for Medicare & Medicaid Services, Baltimore, MD, 21244, USA.
William G LehrmanCenters for Medicare & Medicaid Services, Baltimore, MD, 21244, USA.
Debra StarkCenters for Medicare & Medicaid Services, Baltimore, MD, 21244, USA.
Layla ParastRAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849
6 · The paper itself

Abstract

backgroundMost emergency department (ED) patients arrive by their own transport and, for various reasons, may not choose the nearest ED. How far patients travel for ED treatment may reflect both patients' access to care and severity of illness. In this study, we aimed to examine the travel distance and travel time between a patient's home and ED they visited and investigate how these distances/times vary by patient and hospital characteristics.

methodsWe randomly sampled and collected data from 14,812 patients discharged to the community (DTC) between January and March 2016 from 50 hospital-based EDs nationwide. We geocoded and calculated the distance and travel time between patient and hospital-based ED addresses, examined the travel distances/ times between patients' home and the ED they visited, and used mixed-effects regression models to investigate how these distances/times vary by patient and hospital characteristics.

resultsPatients travelled an average of 8.0 (SD = 10.9) miles and 17.3 (SD = 18.0) driving minutes to the ED. Patients travelled significantly farther to avoid EDs in lower performing hospitals (p < 0.01) and in the West (p < 0.05) and Midwest (p < 0.05). Patients travelled farther when visiting EDs in rural areas. Younger patients travelled farther than older patients.

conclusionsUnderstanding how far patients are willing to travel is indicative of whether patient populations have adequate access to ED services. By showing that patients travel farther to avoid a low-performing hospital, we provide evidence that DTC patients likely do exercise some choice among EDs, indicating some market incentives for higher-quality care, even for some ED admissions. Understanding these issues will help policymakers better define access to ED care and assist in directing quality improvement efforts. To our knowledge, our study is the most comprehensive nationwide characterization of patient travel for ED treatment to date.

Indexed as

Health Services AccessibilityTravelEmergency Service, HospitalEmergency TreatmentHospitalsHumansAccess to careEmergency departmentGeographic distanceTravel distanceTravel time

Identifiers

PMID35331209
PMCPMC8944092

What OpenQuestion holds

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LicenceCC BY
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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.