Evidence map›Paper›PMID 42205358›Full record

ArticleHealth affairs scholar2026

When ambulances wait at the emergency department: hospital factors and offload times in California.

Esmeralda Melgoza, Madeline Feldmeier, Crystal Chen, Hiram Beltrán-Sánchez, Renee Y Hsia

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

5 authors.

Esmeralda MelgozaDepartment of Emergency Medicine, Stanford University, Palo Alto, CA 94304, United States.ORCID https://orcid.org/0000-0001-9202-4939
Madeline FeldmeierSchool of Medicine, University of California, San Francisco, CA 94143, United States.ORCID https://orcid.org/0009-0003-5829-0784
Crystal ChenSchool of Medicine, New York University Grossman, New York, NY 10016, United States.ORCID https://orcid.org/0009-0006-9775-2373
Hiram Beltrán-SánchezDepartment of Community Health Sciences, University of California, Los Angeles, Los Angeles, CA 90095, United States.ORCID https://orcid.org/0000-0002-8334-6191
Renee Y HsiaDepartment of Emergency Medicine, University of California, San Francisco, CA 94143, United States.ORCID https://orcid.org/0000-0001-9819-6926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ambulance patient offload time (APOT), the interval between ambulance arrival at the emergency department (ED) and transfer of care, is an understudied measure of emergency care delivery. We examined associations between hospital characteristics and APOTs across 310 California EDs before Assembly Bill (AB) 40 established statewide APOT reduction requirements. Methods: We conducted a retrospective cross-sectional study using data from the California Emergency Medical Services (EMS) Authority, 34 local EMS agencies, and the California Department of Health Care Access and Information. The primary outcome was APOT-1, the time within which 90% of EMS-ED transfers are completed. We used LASSO for predictor selection and fitted negative binominal regression models. Results: Among 310 EDs, 77.7% were urban, 62.9% were nonprofit, and 89.0% were nonteaching. Urban location and more ED treatment stations were associated with longer APOT-1. Predicted APOT-1 ranged from 9.7 to 19.3 minutes in rural EDs and 19.4 to 38.7 minutes in urban EDs. Policy Implications: This study provides baseline data on patient handoff between EMS crews and ED staff prior to the implementation of AB 40. Addressing APOT delays requires coordinated strategies beyond individual EDs or EMS agencies.

Indexed as

ambulance patient offload timesemergency departmentsemergency medical serviceshealth policy

Identifiers

PMID42205358
PMCPMC13207576

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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.