Evidence map›Paper›PMID 33483448›Full record

ArticleBMJ open2021

Development of unmanned aerial vehicle (UAV) networks delivering early defibrillation for out-of-hospital cardiac arrests (OHCA) in areas lacking timely access to emergency medical services (EMS) in Germany: a comparative economic study.

Jan Bauer, Dieter Moormann, Reinhard Strametz, David A Groneberg

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

9 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  5. Can drones save lives and money? An economic evaluation of airborne delivery of automated external defibrillators.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
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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

4 authors at 3 institutions in 1 country.

Jan BauerDivision of Health Services Research, Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-Universitat Frankfurt am Main, Frankfurt, Germany j.bauer@med.uni-frankfurt.de.ORCID 0000-0001-6267-9731
Dieter MoormannInstitute for Flight System Dynamics, RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany.
Reinhard StrametzWiesbaden Business School, RheinMain University of Applied Sciences, Wiesbaden, Hessen, Germany.
David A GronebergInstitute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Hessen, Germany.
Goethe University Frankfurt · DERheinMain University of Applied Sciences · DERWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study wants to assess the cost-effectiveness of unmanned aerial vehicles (UAV) equipped with automated external defibrillators (AED) in out-of-hospital cardiac arrests (OHCA). Especially in rural areas with longer response times of emergency medical services (EMS) early lay defibrillation could lead to a significant higher survival in OHCA.

participants3296 emergency medical stations in Germany.

settingRural areas in Germany. PRIMARY AND SECONDARY OUTCOME MEASURES: Three UAV networks providing 80%, 90% or 100% coverage for rural areas lacking timely access to EMS (ie, time-to-defibrillation: >10 min) were developed using a location allocation analysis. For each UAV network, primary outcome was the cost-effectiveness using the incremental cost-effectiveness ratio (ICER) calculated by the ratio of financial costs to additional life years gained compared with current EMS.

resultsCurrent EMS with 3926 emergency stations was able to gain 1224 life years on annual average in the study area. The UAV network providing 100% coverage consisted of 1933 UAV with average annual costs of €43.5 million and 1845 additional life years gained on annual average (ICER: €23 568). The UAV network providing 90% coverage consisted of 1074 UAV with average annual costs of €24.2 million and 1661 additional life years gained on annual average (ICER: €14 548). The UAV network providing 80% coverage consisted of 798 UAV with average annual costs of €18.0 million and 1477 additional life years gained on annual average (ICER: €12 158).

conclusionThese results reveal the relevant life-saving potential of all modelled UAV networks. Furthermore, all analysed UAV networks could be deemed cost-effective. However, real-life applications are needed to validate the findings.

Indexed as

Cardiopulmonary ResuscitationEmergency Medical ServicesOut-of-Hospital Cardiac ArrestDefibrillatorsElectric CountershockGermanyHealth Services AccessibilityHumansaccident & emergency medicinehealth economicshealth services administration & management

Identifiers

PMID33483448
PMCPMC7825255
OpenAlexW3123260042

What OpenQuestion holds

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LicenceCC BY-NC
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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.