Evidence map›Paper›PMID 42327643›Full record

ArticleHealth affairs scholar2026

A national description of emergency medical services patient utilization patterns.

Antonio R Fernandez, Jonathan Brent Myers, Scott S Bourn, Remle P Crowe, Edward C Preusser, James Muisyo, Alison Treichel, Alyssa M Green, Kehinde Onaeko, Eric H Beck

Abstract read
In one paragraph

Article in Health affairs scholar, 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

10 authors.

Antonio R FernandezESO, Inc., Austin, TX78722, United States.ORCID https://orcid.org/0000-0002-7644-6733
Jonathan Brent MyersESO, Inc., Austin, TX78722, United States.
Scott S BournESO, Inc., Austin, TX78722, United States.ORCID https://orcid.org/0000-0002-2603-1441
Remle P CroweESO, Inc., Austin, TX78722, United States.ORCID https://orcid.org/0000-0001-9733-9294
Edward C PreusserESO, Inc., Austin, TX78722, United States.
James MuisyoESO, Inc., Austin, TX78722, United States.ORCID https://orcid.org/0009-0007-4332-8056
Alison TreichelESO, Inc., Austin, TX78722, United States.ORCID https://orcid.org/0009-0009-9882-617X
Alyssa M GreenESO, Inc., Austin, TX78722, United States.
Kehinde OnaekoESO, Inc., Austin, TX78722, United States.ORCID https://orcid.org/0009-0003-6672-6509
Eric H BeckESO, Inc., Austin, TX78722, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Repeat use of 9-1-1 emergency medical services (EMS) reflects complex intersections of medical need, social vulnerability, and health system failures. While high utilization of emergency departments has been extensively studied, national characterizations of EMS utilization patterns remain limited. Methods: We conducted a retrospective analysis of 9 508 809 EMS encounters involving 6 604 938 unique patients using the 2024 ESO Data Collaborative. A novel patient-level linkage approach using the Levenshtein distance method identified repeat encounters across time. EMS utilization was categorized as low (1), moderate (2-4), high (5-11), and very-high (12+ encounters). Results: Three percent of patients accounted for 16% of all encounters. Patients with very-high utilization were disproportionately covered by Medicaid, resided in socioeconomically vulnerable communities, and more commonly presented with chronic conditions. Despite higher transport rates, they were 40% less likely to be admitted than single-encounter patients. The median time between encounters was 10 days for very-high utilizers. Conclusion: These patterns are consistent with broad health and healthcare access challenges rather than individual patient behavior. EMS utilization data may offer a means to identify high-need, low-access populations and develop strategies that improve care coordination and reduce emergency system strain.

Indexed as

alternative payment modelscare coordinationcommunity paramedicineemergency medical servicesEMS datafrequent 911 usehealth care utilizationhealth equityhigh utilizationMedicaidmobile integrated healthpopulation healthprehospital caresocial determinants of healthsocial vulnerability

Identifiers

PMID42327643
PMCPMC13282441

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.