Evidence map›Paper›PMID 41267834›Full record

ArticleEuropean heart journal. Digital health2025

Patient and physician perspectives on smartwatch-based out-of-hospital cardiac arrest detection.

Marijn Eversdijk, Marieke A R Bak, Lukas R C Dekker, Babette J W van der Eerden, Anouk E C Bruijnzeels, Dick L Willems, Hanno L Tan, Willem J Kop, Mirela Habibović

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Article in European heart journal. Digital health, 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. 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.

Marijn EversdijkDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands.ORCID https://orcid.org/0000-0002-9453-8607
Marieke A R BakDepartment of Ethics, Law and Humanities, Amsterdam UMC, University of Amsterdam, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
Lukas R C DekkerDepartment of Electrical Engineering, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands.
Babette J W van der EerdenDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands.
Anouk E C BruijnzeelsDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands.
Dick L WillemsDepartment of Ethics, Law and Humanities, Amsterdam UMC, University of Amsterdam, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
Hanno L TanDepartment of Experimental Cardiology, Amsterdam UMC, University of Amsterdam, PO Box 22660, 1100 DD Amsterdam, The Netherlands.
Willem J KopDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands.
Mirela HabibovićDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The potential application of wearable technology solutions for detecting out-of-hospital cardiac arrest (OHCA) is increasingly explored to enhance survival outcomes, but questions related to device accuracy, psychological well-being, privacy, and equal access need to be sorted out before implementation in clinical care and society. This qualitative interview study investigates patients' and physicians' perspectives on end-user needs, preferences, and potential barriers to smartwatch-based OHCA detection. Methods and results: During the first cycle, 17 patients with elevated OHCA risk were interviewed individually ( Conclusion: This study is the first to explore the perspectives of patients and physicians on smartwatch-based OHCA detection using qualitative analysis of interview data. The results provide important building blocks for the ethically and psychologically sound development and implementation of smartwatch-based OHCA detection in clinical practice, taking the social context into account. The availability of OHCA detection using wearable devices to a wide range of people requires further attention, with emphasis on populations at elevated risk of cardiac arrhythmias.

Indexed as

InterviewsMedical ethicsOut-of-hospital cardiac arrestPatient perspectivesPhysician perspectivesPsychologySmartwatchesWearable technology

Identifiers

PMID41267834
PMCPMC12629659

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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.