Evidence map›Paper›PMID 40009561›Full record

ArticlePloS one2025

Local DEA app: Saving lives with accessible and well-located automated external defibrillators.

Giovanna Natsumi Eiri, Hudson Rogerio Proença Júnior, Miyoko Massago, Vinicius Lopes Giacomin, Karoline Harummy Romero Moriya, Mateus de Amorim Aboboreira, Felipe Hideaki Ueda, Aline Cardoso Machado, Júlia Loverde Gabella, Marcos Rogério Bitencour and 4 more

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Article in PloS one, 2025. 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

14 authors.

Giovanna Natsumi EiriDepartment of Medicine, State University of Maringá, Maringá, Paraná, Brazil.
Hudson Rogerio Proença JúniorDepartment of Informatics, State University of Maringá, Maringá, Paraná, Brazil.
Miyoko MassagoPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Vinicius Lopes GiacominPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Karoline Harummy Romero MoriyaDepartment of Informatics, State University of Maringá, Maringá, Paraná, Brazil.
Mateus de Amorim AboboreiraDepartment of Medicine, State University of Maringá, Maringá, Paraná, Brazil.
Felipe Hideaki UedaDepartment of Medicine, State University of Maringá, Maringá, Paraná, Brazil.
Aline Cardoso MachadoPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Júlia Loverde GabellaPostgraduate Program in Management, Technology and Innovation in Urgency and Emergency, State University of Maringá, Maringá, Paraná, Brazil.ORCID 0000-0003-2244-3278
Marcos Rogério BitencourPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Sanderland José Tavares GurgelDepartment of Medicine, State University of Maringá, Maringá, Paraná, Brazil.
João Ricardo Nickenig VissociDepartment of Emergency Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America.ORCID 0000-0001-7276-0402
Heloise Manica Paris TeixeiraDepartment of Informatics, State University of Maringá, Maringá, Paraná, Brazil.
Luciano de AndradeDepartment of Medicine, State University of Maringá, Maringá, Paraná, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDeveloping technological solutions to reduce care delay and mortality in out-of-hospital cardiac arrest (OHCA) cases is a challenge both in Brazil and worldwide. The aim of this study was to develop and validate a geolocation application for locating automated external defibrillators (AEDs) in the urban area of a medium-sized city in southern Brazil.

methodsA mobile application was developed to locate AEDs in public places, indicating the best route to the nearest AED with an intuitive design for emergency use. The app provides information on cardiopulmonary resuscitation (CPR), initial care, and AED use. The research steps included a literature review on the double diamond design process, prototyping, expert validation, and simulation tests.

resultsThe Local DEA app, developed for Android and iOS, offers features such as route calculation to the nearest AED and emergency services. In an evaluation conducted by 30 experts, the app was well accepted for its ease of use and efficiency (Cronbach's alpha = 0.92). Simulation tests demonstrated that the strategic installation of accessible and well-located AEDs improves coverage and significantly reduces travel time to emergency care as compared with ambulance travel times (p < 0.001).

conclusionThe Local DEA app is a promising tool for reducing mortality in OHCA, enabling AED geolocation, use instructions, and CPR guidelines. When combined with the strategic placement of public-access AEDs, the application can increase the likelihood of survival in OHCA cases.

Indexed as

Cardiopulmonary ResuscitationDefibrillatorsMobile ApplicationsOut-of-Hospital Cardiac ArrestBrazilEmergency Medical ServicesHumans

Identifiers

PMID40009561
PMCPMC11864529

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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.