Evidence map›Paper›PMID 37091925›Full record

ArticleResuscitation plus2023

Automated external defibrillator delivery by drone in mountainous regions to support basic life support - A simulation study.

Philip Fischer, Ursula Rohrer, Patrick Nürnberger, Martin Manninger, Daniel Scherr, Dirk von Lewinski, Andreas Zirlik, Christian Wankmüller, Ewald Kolesnik

Open access · goldAbstract read
In one paragraph

Article in Resuscitation plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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 at 3 institutions in 1 country.

Philip FischerDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.
Ursula RohrerDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.
Patrick NürnbergerAustrian Red Cross, Landesverband Kärnten, Grete-Bittner-Straße 9, 9020 Klagenfurt am Wörthersee, Austria.
Martin ManningerDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.
Daniel ScherrDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.
Dirk von LewinskiDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.
Andreas ZirlikDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.
Christian WankmüllerAustrian Red Cross, Landesverband Kärnten, Grete-Bittner-Straße 9, 9020 Klagenfurt am Wörthersee, Austria.
Ewald KolesnikDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.
Medical University of Graz · ATAustrian Red Cross · ATUniversity of Klagenfurt · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Out-of-hospital cardiac arrest (OHCA) is associated with poor survival rates. Factors that may enable survival include cardiopulmonary resuscitation (CPR) initiated by bystanders and early use of an automated external defibrillator (AED). This explorative simulation study was conceptualized to test the feasibility of a semi-autonomously operating drone that delivers an AED to a remote emergency location and its bystander-use. Methods: Ten paramedics and nineteen laypersons were confronted with a manikin simulating an OHCA as single bystanders within a field test located in a mountainous region between Austria and Slovenia. The scenario included a mock-call to the local emergency response center that dispatched a drone towards the caller's GPS coordinates and supported the ongoing CPR. The outcomes were the successful delivery of the AED, the time to the first shock, hands-off times, and the overall performance of the CPR. Results: The AED was delivered by drone and used in all 29 scenarios without serious adverse events. The flight time of the drone was in median 5:20 (range: 1:35-8:19) minutes. The paramedics delivered the first shock after a mean of 12:15 ± 2:03 min and hands-off times were 50 ± 22 s. The laypersons delivered the first shock after 14:04 ± 2:10 min and hands-off times were 2:11 ± 0:39 min. All participants felt confident in the handling of the delivered AED. Conclusion: The delivery and usage of an AED via a semi-autonomously flying drone in a remote region is feasible. This approach can lead to early administration of shocks.

Indexed as

Automated external defibrillatorCardiopulmonary resuscitationDroneMountainous regionOut-of-hospital cardiac arrest

Identifiers

PMID37091925
PMCPMC10120372
OpenAlexW4362703992

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.