Evidence map›Paper›PMID 41998693›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2026

Assessment of clinical and logistical contribution in a Norwegian helicopter emergency medical service using integrated data: a retrospective observational study.

Lars E Næss, Oddvar Uleberg, Andreas Asheim, Andreas Krüger, Eivinn Skjærseth, Ole Erik Ulvin, Jostein Dale, Rune Sætre, Helge Haugland

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and 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.

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

9 authors.

Lars E NæssDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway. lars.naess@norskluftambulanse.no.
Oddvar UlebergDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.
Andreas AsheimCentre for Health Care Improvement, St. Olav's University Hospital, Trondheim, Norway.
Andreas KrügerDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.
Eivinn SkjærsethDepartment of Emergency Medicine and Prehospital Services, St. Olav's University Hospital, Trondheim, Norway.
Ole Erik UlvinDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.
Jostein DaleDepartment of Emergency Medicine and Prehospital Services, St. Olav's University Hospital, Trondheim, Norway.
Rune SætreDepartment of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.
Helge HauglandDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysician‑staffed Helicopter Emergency Medical Services (HEMS) provide advanced pre‑hospital care, rapid transfer to hospital, and access to remote areas. These services are costly with limited capacity; therefore, their value depends on meaningful patient benefit. Although clinical and logistical capabilities are essential for selected patient groups, no unified measure of service benefit exists. In 2017 an international expert panel proposed a set of quality indicators (QIs) for Physician‑Staffed Emergency Medical Services (P‑EMS). Since 2021 the Trondheim HEMS has used these QIs to assess clinical and logistical contribution in completed missions. This study aims to describe these contribution assessments and relate them with descriptive data and established severity measures from integrated Emergency Medical Services (EMS) and hospital data.

methodsPhysician‑reported assessments of clinical and logistical contribution from Trondheim HEMS (2022-2024) were linked with data from the Emergency Medical Communication Centre, HEMS records and hospital records. Contribution assessments and mission characteristics were examined using descriptive statistics. Associations and convergence between contribution assessments, severity measures and patient characteristics were explored using multivariable regression models.

resultsHEMS contribution was assessed for 2,286 missions. Of these, 1,696 (74%) were judged as beneficial, including 1,173 (51%) with logistical contribution and 897 (39%) with clinical contribution, with an overlap of 374 missions (16%) showing both. Logistical contribution was associated with conditions requiring rapid transfer to definitive treatment, while clinical contribution was associated with potentially critical diagnoses, higher severity scores, higher mortality rates, and greater hospital utilisation. Retrospectively, 590 missions (26%) were classified as having no contribution, more often involving younger patients and potentially critical but uncertain conditions.

conclusionsAcross three years of retrospective physician‑reported assessments, three quarters of HEMS missions were retrospectively considered beneficial, reflecting approximately 50 percent logistical contribution and 40 percent clinical contribution, with a 16 percent overlap. The remaining 26 percent were viewed as not beneficial. Assessments of relative contributions varied between physicians suggests differing interpretations of the criteria, highlighting the need to strengthen a shared understanding of the underlying concepts.

Indexed as

Air AmbulancesEmergency Medical ServicesAgedFemaleHumansMaleNorwayRetrospective StudiesAir AmbulancesElectronic Health RecordsEmergency Medical Service Communication SystemsEmergency Medical ServicesHealth Data AdministrationHealth Information ManagementInformation SystemsPatient Outcome AssessmentQuality Indicators, Health Care

Identifiers

PMID41998693
PMCPMC13214417

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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.