Evidence map›Paper›PMID 42741274›Full record

ArticleResuscitation plus2026

Effect of a smartphone application on dispatcher-assisted CPR and AED response in simulated out-of-hospital cardiac arrest.

Duangpon Thepmanee, Pramote Papukdee, Rossakorn Klaiangthong

Abstract read
In one paragraph

Article in Resuscitation plus, 2026. 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

3 authors.

Duangpon ThepmaneeDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.
Pramote PapukdeeDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.
Rossakorn KlaiangthongDepartment of Disaster and Emergency Medical Operation, Faculty of Science and Health Technology, Navamindradhiraj University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Early bystander cardiopulmonary resuscitation (CPR) and rapid automated external defibrillator (AED) use are key determinants of survival following out-of-hospital cardiac arrest (OHCA). Smartphone applications may enhance dispatcher-assisted CPR (DA-CPR) and facilitate early AED access; however, evidence regarding their effectiveness in standardized simulation settings remains limited. This study evaluated the effectiveness of a smartphone application for DA-CPR and AED response during simulated OHCA. Methods: This randomized simulation-based study was conducted using standardized OHCA scenarios in a controlled simulation environment. Fifty emergency medical dispatch personnel and 190 trained lay responders were randomly assigned to either a smartphone application group or a standard practice group. Primary outcomes were time to CPR initiation and time to first AED shock. Secondary outcomes included time to OHCA recognition, time to scenario completion, and high-quality CPR performance. Outcomes were compared using independent t-tests or Welch's t-tests, as appropriate. Results: Among dispatchers ( Conclusion: In standardized simulated OHCA scenarios, use of the MySOS app was associated with a shorter time to first compression among dispatchers but a longer time to first compression among laypersons. No significant association was observed between MySOS use and time to first shock.

Indexed as

AEDDispatcher-assisted CPROut-of-hospital cardiac arrestSimulationSimulation-based research

Identifiers

PMID42741274
PMCPMC13573181

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.