Evidence map›Paper›PMID 28934985›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2017

Factors influencing on-scene time in a rural Norwegian helicopter emergency medical service: a retrospective observational study.

Øyvind Østerås, Jon-Kenneth Heltne, Bjørn-Christian Vikenes, Jörg Assmus, Guttorm Brattebø

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Factors associated with a positive shock index in the prehospital setting after major trauma.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Polish Helicopter Emergency Medical Service (HEMS) Response to Stroke: A Five-Year Retrospective Study.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  11. Article
  12. Helicopter Emergency Medical Service (HEMS) Response in Rural Areas in Poland: Retrospective Study.International journal of environmental research and public health · 2019
    Article
  13. Article
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 at 2 institutions in 1 country.

Øyvind ØsteråsDepartment of Anaesthesia and Intensive Care, Haukeland University Hospital, PO Box 1400, 5021, Bergen, Norway. oyvind.osteras@uib.no.ORCID http://orcid.org/0000-0001-9948-0742
Jon-Kenneth HeltneDepartment of Anaesthesia and Intensive Care, Haukeland University Hospital, PO Box 1400, 5021, Bergen, Norway.
Bjørn-Christian VikenesDepartment of Anaesthesia and Intensive Care, Haukeland University Hospital, PO Box 1400, 5021, Bergen, Norway.
Jörg AssmusCentre for Clinical Research, Haukeland University Hospital, PO Box 1400, 5021, Bergen, Norway.
Guttorm BrattebøDepartment of Anaesthesia and Intensive Care, Haukeland University Hospital, PO Box 1400, 5021, Bergen, Norway.
Haukeland University Hospital · NOOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCritically ill patients need to be immediately identified, properly managed, and rapidly transported to definitive care. Extensive prehospital times may increase mortality in selected patient groups. The on-scene time is a part of the prehospital interval that can be decreased, as transport times are determined mostly by the distance to the hospital. Identifying factors that affect on-scene time can improve training, protocols, and decision making. Our objectives were to assess on-scene time in the Helicopter Emergency Medical Service (HEMS) in our region and selected factors that may affect it in specific and severe conditions.

methodsThis retrospective cohort study evaluated on-scene time and factors that may affect it for 9757 emergency primary missions by the three HEMSs in western Norway between 2009 and 2013, using graphics and descriptive statistics.

resultsThe overall median on-scene time was 10 minutes (IQR 5-16). The median on-scene time in patients with penetrating torso injuries was 5 minutes (IQR 3-10), whereas in cardiac arrest patients it was 20 minutes (IQR 13-28). Based on multivariate linear regression analysis, the severity of the patient's condition, advanced interventions performed, mode of transport, and trauma missions increased the on-scene time. Endotracheal intubation increased the OST by almost 10 minutes. Treatment prior to HEMS arrival reduced the on-scene time in patients suffering from acute myocardial infarction. DISCUSSION: We found a short OST in preselected conditions compared to other studies. For the various patient subgroups, the strength of association between factors and OST varied. The time spent on-scene and its influencing factors were dependent on the patient's condition. Our results provide a basis for efforts to improve decision making and reduce OST for selected patient groups.

conclusionsThe most important factors associated with increased on-scene time were the severity of the patient's condition, the need for intubation or intravenous analgesic, helicopter transport, and trauma missions.

Indexed as

Air AmbulancesAircraftEmergenciesAdolescentAdultAgedCritical IllnessEmergency Medical ServicesFemaleHumansMaleMiddle AgedNorwayRetrospective StudiesTime FactorsYoung AdultAir ambulancesEmergency medical servicesFirst hour quintetHelicopterHemsNorwayOn-scene timeScene time

Identifiers

PMID28934985
PMCPMC5609050
OpenAlexW2757567616

What OpenQuestion holds

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LicenceCC BY
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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.