Evidence map›Paper›PMID 34253244›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2021

Incidence and challenges of helicopter emergency medical service (HEMS) rescue missions with helicopter hoist operations: analysis of 11,228 daytime and nighttime missions in Switzerland.

Urs Pietsch, Jürgen Knapp, Michael Mann, Lorenz Meuli, Volker Lischke, Mario Tissi, Stephen Sollid, Simon Rauch, Volker Wenzel, Stefan Becker and 1 more

Abstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Observational
  6. Observational
  7. Spinal cord injury in severely injured patients: results from the Swiss Trauma Registry.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Accuracy between prehospital and hospital diagnosis in helicopter emergency medical services and its consequences for trauma care.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  12. The forgotten cohort-lessons learned from prehospital trauma death: a retrospective cohort study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023
    Article
  13. Observational
  14. Oral transmucosal fentanyl citrate analgesia in prehospital trauma care: an observational cohort study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023
    Observational
  15. Observational
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

11 authors.

Urs PietschDepartment of Anaesthesiology and Intensive Care Medicine, Cantonal Hospital St. Gallen, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland. urs.pietsch@kssg.ch.
Jürgen KnappAir Zermatt, Emergency Medical Service, 3920, Zermatt, Switzerland.
Michael MannAir Zermatt, Emergency Medical Service, 3920, Zermatt, Switzerland.
Lorenz MeuliDepartment of Vascular Surgery, University Hospital Zurich, Zurich, Switzerland.
Volker LischkeAir Zermatt, Emergency Medical Service, 3920, Zermatt, Switzerland.
Mario TissiSwiss Air-Ambulance, Rega (Rettungsflugwacht/Guarde Aérienne), Zurich, Switzerland.
Stephen SollidNorwegian Air Ambulance Foundation, PB 414 Sentrum, 0103, Oslo, Norway.
Simon RauchInstitute of Mountain Emergency Medicine, Eurac Research, Bozen, Italy.
Volker WenzelKlinik für Anästhesie Klinikum Friedrichshafen GmbH, Röntgenstraße 2, 88048, Friedrichshafen, Germany.
Stefan BeckerSwiss Air-Ambulance, Rega (Rettungsflugwacht/Guarde Aérienne), Zurich, Switzerland.
Roland AlbrechtDepartment of Anaesthesiology and Intensive Care Medicine, Cantonal Hospital St. Gallen, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to investigate the medical characteristics of helicopter hoist operations (HHO) in HEMS missions.

methodsWe designed a retrospective study evaluating all HHO and other human external cargo (HEC) missions performed by Swiss Air-Rescue (Rega) between January 1, 2010, and December 31, 2019.

resultsDuring the study period, 9,963 (88.7 %) HEMS missions with HHO and HEC were conducted during the day, and 1,265 (11.3 %) at night. Of the victims with time-critical injuries (NACA ≥ 4), 21.1 % (n = 400) reached the hospital within 60 min during the day, and 9.1 % (n = 18) at night. Nighttime missions, a trauma diagnosis, intubation on-site, and NACA Score ≥ 4 were independently and highly significantly associated with longer mission times (p < 0.001). The greatest proportion of patients who needed hoist or HEC operations in the course of the HEMS mission during the daytime sustained moderate injuries (NACA 3, n = 3,731, 37.5 %) while practicing recreational activities (n = 5,492, 55.1 %). In daytime HHO missions, the most common medical interventions performed were insertion of a peripheral intravenous access (n = 3,857, 38.7 %) and administration of analgesia (n = 3,121, 31.3 %).

conclusionsNearly 20 % of patients who needed to be evacuated by a hoist were severely injured, and complex and lifesaving medical interventions were necessary before the HHO procedure. Therefore, only adequately trained and experienced medical crew members should accompany HHO missions.

Indexed as

AdolescentAdultAgedAged, 80 and overAir AmbulancesAircraftAnalgesiaChildChild, PreschoolEmergency Medical ServicesHumansIncidenceInfantInfant, NewbornMiddle AgedRescue Work

Identifiers

PMID34253244
PMCPMC8276414

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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.