Evidence map›Paper›PMID 26807779›Full record

ArticlePrehospital emergency care2016

National Characteristics of Emergency Medical Services in Frontier and Remote Areas.

Landon R Mueller, John P Donnelly, Karen E Jacobson, Jestin N Carlson, N Clay Mann, Henry E Wang

Abstract read
In one paragraph

Article in Prehospital emergency care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Strategies for improving rural trauma health systems.Trauma surgery & acute care open · 2026
    Article
  3. Article
  4. Article
  5. A classification system for identifying patients dead on ambulance arrival: a prehospital medical record review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023
    Article
  6. Review
  7. Review
  8. Article
  9. Article
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

6 authors at 5 institutions in 2 countries.

Landon R Mueller
John P Donnelly
Karen E Jacobson
Jestin N Carlson
N Clay Mann
Henry E Wang
Russian State Agrarian Correspondence University · RUUniversity of Alabama · USUniversity of Alabama at Birmingham · USUniversity of Pittsburgh · USUniversity of Utah · US

Funding

UAB Health Services Research (HSR) Training ProgramT32HS013852 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEVITAN, EMILY B, MUGAVERO, MICHAEL J · 2003 to 2024
$8.0M
Southeastern Resucitation Research CenterU01HL077881 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KERBY, JEFFREY D, WANG, HENRY E. · 2004 to 2015
$3.9M
AHRQ HHS T32 HS013852AHRQ HHS T32-HS013852NHLBI NIH HHS U01 HL077881NHLBI NIH HHS U01-HL077881-11
6 · The paper itself

Abstract

Although much is known about EMS care in urban, suburban, and rural settings, only limited national data describe EMS care in isolated and sparsely populated frontier regions. We sought to describe the national characteristics and outcomes of EMS care provided in frontier and remote (FAR) areas in the continental United States (US). We performed a cross-sectional analysis of the 2012 National Emergency Medical Services Information System (NEMSIS) data set, encompassing EMS response data from 40 States. We linked the NEMSIS dataset with Economic Research Service-identified FAR areas, defined as a ZIP Code >60 minutes driving time to an urban center with >50,000 persons. We excluded EMS responses resulting in intercepts, standbys, inter-facility transports, and medical transports. Using odds ratios, t-tests and the Wilcoxon rank-sum test, we compared patient demographics, response characteristics (location type, level of care), clinical impressions, and on-scene death between EMS responses in FAR and non-FAR areas. There were 15,005,588 EMS responses, including 983,286 (7.0%) in FAR and 14,025,302 (93.0%) in non-FAR areas. FAR and non-FAR EMS events exhibited similar median response 5 [IQR 3-10] vs. 5 [3-8] min), scene (14 [10-20] vs. 14 [10-20] min), and transport times (11 [5.,24] vs. 12 [7,19] min). Air medical (1.51% vs. 0.42%; OR 4.15 [95% CI: 4.03-4.27]) and Advanced Life Support care (62.4% vs. 57.9%; OR 1.25 [1.24-1.26]) were more common in FAR responses. FAR responses were more likely to be of American Indian or Alaska Native race (3.99% vs. 0.70%; OR 5.04, 95% CI: 4.97-5.11). Age, ethnicity, location type, and clinical impressions were similar between FAR and non-FAR responses. On-scene death was more likely in FAR than non-FAR responses (12.2 vs. 9.6 deaths/1,000 responses; OR 1.28, 95% CI: 1.25-1.30). Approximately 1 in 15 EMS responses in the continental US occur in FAR areas. FAR EMS responses are more likely to involve air medical or ALS care as well as on-scene death. These data highlight the unique characteristics of FAR EMS responses in the continental US.

Indexed as

AdultAgedCross-Sectional StudiesEmergency Medical ServicesFemaleHealth PersonnelHumansInformation SystemsMaleMiddle AgedRural Health ServicesRural PopulationUnited Statesallied health personnelEmergency Medical Serviceshealth servicesrural

Identifiers

PMID26807779
PMCPMC4853204
OpenAlexW2250779750

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.