Evidence map›Paper›PMID 42550715›Full record

ArticleThe western journal of emergency medicine2026

No "Golden Hour" in Alaska: Characteristics and Implications of Medevac-centered Emergency Care.

Brian Rice, Chelsea Williams, Cindy Y Chang, Jeremy Wood, Henry Saul, Angelica Pritchard, Gretchen Day, Timothy Thomas, David Hao, Carla Britton and 2 more

Abstract read
In one paragraph

Article in The western journal of emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

12 authors.

Brian RiceStanford University, Department of Emergency Medicine, Palo Alto, California.
Chelsea WilliamsManiilaq Association, Kotzebue, Alaska.
Cindy Y ChangManiilaq Association, Kotzebue, Alaska.
Jeremy WoodAlaska Native Tribal Health Consortium, Research Services, Anchorage, Alaska.
Henry SaulStanford University, Department of Emergency Medicine, Palo Alto, California.
Angelica PritchardStanford University, Department of Emergency Medicine, Palo Alto, California.
Gretchen DayAlaska Native Tribal Health Consortium, Research Services, Anchorage, Alaska.
Timothy ThomasAlaska Native Tribal Health Consortium, Research Services, Anchorage, Alaska.
David HaoStanford University, Department of Emergency Medicine, Palo Alto, California.
Carla BrittonAlaska Native Epidemiology Center, Alaska Native Tribal Health Consortium, Anchorage, Alaska.
Robert OndersManiilaq Association, Kotzebue, Alaska.
Tina Hernandez-BoussardManiilaq Association, Kotzebue, Alaska.

Funding

Machine Learning Models of Appropriate Medevac Utilization in Rural AlaskaK08MD016445 · NIMHD · STANFORD UNIVERSITY · PI Brian Travis Rice · 2022 to 2026
$832k
NIMHD NIH HHS K08 MD016445
6 · The paper itself

Abstract

introductionRural areas in the United States have higher mortality rates than urban regions, particularly from emergency care-sensitive conditions. Air medical ambulances (medevacs) are critical to emergency care access in the rural U.S., but limited data hinder the ability to study this critical system. In Alaska, medevac services often represent the sole method for connecting Alaska Native patients in remote clinics to physician emergency medical care. This study characterizes medevac use and timing between tribally administered village clinics and hospitals in Northwest Alaska. Our objective in this study was to describe the use and timing of medevacs and investigate how medevac decision-making impacts medevac transport times.

methodsWe conducted a retrospective cohort analysis of medevac transfers between 2020-2024 from 11 Alaskan village clinics within the Maniilaq Association, which serves ~8,000 people over 35,862 square miles.We included 1,579 medevacs representing 1,119 unique patients flying from remote clinics to a central critical access hospital hub.. Our primary outcome measure was the association between short medevac decision times (< 60 minutes), and short total medevac times (< 180 minutes). We measured "flight time," "decision time," and "ground time" (time spent waiting for an aircraft to become available) as key components of total medevac time.

resultsA total of 1,579 medevacs were deployed for predominantly Alaska Native (96.8%) patients, of whom 22.2% had traumatic injuries. Between 4.1-7.9% of community members in the region are transported by medevac each year. Median medevac time was 262 minutes (interquartile range [IQR] 196-402 [101-4,142]) from activation call to arrival at the critical access hospital. No medevacs were < 100 minutes. "Ground time" was the longest phase of medevac encounters overall (median ground time 105 minutes (IQR 81-187]) vs median decision time 75 minutes (IQR 42-130) or median flight time 44 minutes (IQR 35-77). We found no association between short medevac decision times and short medevac response time (P = .93). Medevac decision-making was the longest phase in only 6% of the shortest total medevacs (< 190 minutes), but it was the longest phase in 40% of the longest total medevacs ( > 400 minutes).

conclusionWe found four key themes: 1) no medevacs were < 100 minutes. Independent of human or system factors,atients cannot be transferred from a village clinic to a critical access hospital within the "golden hour" of emergency care; 2) short medevac decision times were not significantly associated with short overall medevac times; 3) the longest phase in a medevac transfer was "ground time"; and 4) in the subset of the longest total medevacs, medevac decision-making was much more likely to be the longest phase than in the shortest total medevacs. This emergency transfer system is not responsive to patient condition and suggests that medevac decision support may help for a subset of encounters.

Indexed as

Air AmbulancesEmergency Medical ServicesRural Health ServicesAlaskaAlaska NativesHumansRetrospective StudiesTime FactorsTransportation of Patients

Identifiers

PMID42550715
PMCPMC13436660

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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.