Evidence map›Paper›PMID 39680409›Full record

ArticleJAMA network open2024

Patterns in California Ambulance Patient Offload Times by Local Emergency Medical Services Agency.

Madeline Feldmeier, Karen Patricia Reyes, Crystal Chen, Karl A Sporer, Zita Konik, Hernando Garzón, Renee Y Hsia

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Error in Results and Discussion.JAMA network open · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Madeline FeldmeierDepartment of Emergency Medicine, University of California, San Francisco.
Karen Patricia ReyesDepartment of Emergency Medicine, University of California, San Francisco.
Crystal ChenDepartment of Emergency Medicine, University of California, San Francisco.
Karl A SporerDepartment of Emergency Medicine, University of California, San Francisco.
Zita KonikAlameda County Emergency Medical Services Agency, Alameda, California.
Hernando GarzónCalifornia Emergency Medical Services Authority, Rancho Cordova.
Renee Y HsiaDepartment of Emergency Medicine, University of California, San Francisco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Ambulance offload delays are a timely and crucial issue with implications for patients, emergency medical services (EMS) agencies, hospitals, and communities. Published data on recent patterns in ambulance patient offload times (APOTs) are sparse. Objective: To examine patterns in APOT by California local EMS agency and variation between and within local agencies. Design, Setting, and Participants: This cohort study used APOT reports from the California EMS Authority and local EMS agencies between January 1, 2021, and June 30, 2023, to examine patterns in ambulance offload times. County-level population data were collected from the US Census Bureau to calculate mean annual offloads per 1000 population. Exposure: Ambulance transport to emergency departments. Main Outcomes and Measures: Ambulance offload volumes, mean annual offloads per 1000 population, APOT-1 (a reporting metric that includes the 90th percentile ambulance offload time and number of offloads to a specific hospital) weighted means (SDs), and APOT-1 medians (IQRs). Results: A total of 5 913 399 offloads across 34 California local EMS agencies were analyzed. The APOT-1 weighted mean (SD) across the state was 42.8 (27.3) minutes, and the median (IQR) monthly hospital-level APOT-1 was 28.9 (14.9-46.3) minutes. Nearly one-half of local EMS agencies (16 of 34 [47.1%], accounting for 79.2% of all offloads) experienced an APOT-1 weighted mean greater than the 30-minute standard set by the state. Moreover, 20 of 33 local EMS agencies (60.6%) reported an annual APOT-1 weighted mean that was worse in 2023 than 2021. Conclusions and Relevance: In this cohort study, approximately half of all agencies consistently reported ambulance offload times greater than the 30-minute state standard, and there was significant variation between and within agencies. These findings may spur collaborative efforts between stakeholders to determine the most effective strategies for addressing systemic issues resulting in long APOT across California.

Indexed as

AmbulancesEmergency Medical ServicesCaliforniaCohort StudiesHumansTime FactorsTransportation of Patients

Identifiers

PMID39680409
PMCPMC11650417

What OpenQuestion holds

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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.