Evidence map›Paper›PMID 40703813›Full record

ArticleResuscitation plus2025

Integrating smartwatch-based out-of-hospital cardiac arrest detection into resuscitation systems: a focus group study of community responder perspectives.

Marijn Eversdijk, Babette J W van der Eerden, Dick L Willems, Willem J Kop, Mirela Habibović, Marieke A R Bak

Abstract read
In one paragraph

Article in Resuscitation plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Marijn EversdijkDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, Tilburg, the Netherlands.
Babette J W van der EerdenDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, Tilburg, the Netherlands.
Dick L WillemsDepartment of Ethics, Law and Humanities, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Willem J KopDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, Tilburg, the Netherlands.
Mirela HabibovićDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, Tilburg, the Netherlands.
Marieke A R BakDepartment of Ethics, Law and Humanities, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smartwatch-based solutions for out-of-hospital cardiac arrest (OHCA) detection are increasingly explored to enhance survival outcomes, especially in unwitnessed cases. However, the perspectives of community responders, who play a critical role in early responding to resuscitation alerts, are not yet known. Exploring their current experiences and perspectives on this new technology is important for successfully developing and integrating these innovations into existing resuscitation systems. Methods: Four semi-structured focus group discussions (FGDs) were conducted with 15 community responders in the Netherlands, recruited through the national cardiac arrest emergency network. Each FGD comprised two discussion topics: (1) integrating smartwatch-based OHCA detection into the current resuscitation system and (2) mitigating the burden of this technology on community responders. Verbatim transcripts were inductively coded for recurring themes. Results: The FGDs revealed 54 unique codes that were grouped into four themes: (1) Missing information about the cause of the alert; (2) decision-making regarding accepting the alert, (3) challenges in reaching the location and (4) availability of aftercare for community responders. Conclusion: This study identifies target topics that require attention in order to optimise community responders involvement in the implementation of smartwatch-based OHCA detection. Community responders indicated communication with the emergency dispatch centre, training with smartwatch-initiated scenarios and opt-in functionalities for responding to potential impactful situations as key factors to enhance the acceptability and feasibility. These factors ultimately aim to facilitate faster and more effective resuscitation following smartwatch-initiated alerts.

Indexed as

Community respondersDigital healthMedical ethicsOut-of-hospital cardiac arrestSmartwatches

Identifiers

PMID40703813
PMCPMC12284351

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.