Evidence map›Paper›PMID 41360458›Full record

ArticleBMJ open2025

Patient experiences with a smartwatch 1L-ECG versus traditional Holter monitoring for ambulatory cardiac rhythm monitoring: a qualitative study.

Evert P M Karregat, Pieter Vooijs, Eric Wierda, Ralf Harskamp, Wim Lucassen, Jelle C L Himmelreich, Eric P Moll van Charante

Erratum issuedAbstract readComparative Study
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

7 authors.

Evert P M KarregatDepartment of General Practice, Amsterdam UMC Location AMC, Amsterdam, Netherlands e.p.karregat@amsterdamumc.nl.ORCID http://orcid.org/0000-0001-8140-9868
Pieter VooijsDepartment of General Practice, Amsterdam UMC Location AMC, Amsterdam, Netherlands.
Eric WierdaDepartment of Cardiology, Dijklander Hospital, Hoorn, Netherlands.ORCID http://orcid.org/0000-0001-7734-4096
Ralf HarskampDepartment of General Practice, Amsterdam UMC Location AMC, Amsterdam, Netherlands.
Wim LucassenDepartment of General Practice, Amsterdam UMC Location AMC, Amsterdam, Netherlands.
Jelle C L HimmelreichDepartment of General Practice, Amsterdam UMC Location AMC, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0003-0430-1583
Eric P Moll van CharanteDepartment of General Practice, Amsterdam UMC Location AMC, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore patients' experiences and perspectives on using a direct-to-consumer smartwatch with single-lead electrocardiography (1L-ECG) for ambulatory rhythm diagnostics in primary care.

designQualitative study using semi-structured interviews and thematic analysis.

settingPrimary care patients referred for ambulatory rhythm monitoring in a diagnostic centre. PARTICIPANT: Eighteen adults with paroxysmal palpitations, of whom nine were female patients (50%), aged 32-85 (median 66) years.

interventionParticipants simultaneously wore a smartwatch with 1L-ECG capability (Withings ScanWatch) and a conventional Holter monitor for 7 days. OUTCOME MEASURES: Patient experiences and perceived barriers and facilitators to smartwatch use for rhythm monitoring, reported after the monitoring period.

resultsPatients found the smartwatch more user-friendly and feasible than the Holter monitor. Difficulties included uncertainty about when to initiate recordings, challenges capturing brief episodes and anxiety triggered by automated algorithm outputs. Participants emphasised the importance of accessible healthcare support for interpretation and reassurance.

conclusionsThis study shows that smartwatch-based 1L-ECG monitoring is feasible and acceptable for ambulatory rhythm diagnostics in primary care. Prior to routine implementation, it is crucial to address the identified challenges: particularly anxiety related to algorithm results, uncertainty about when to record and accessible clinician support.

Indexed as

Arrhythmias, CardiacElectrocardiographyElectrocardiography, AmbulatoryPatient SatisfactionWearable Electronic DevicesAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrimary Health CareQualitative ResearchCARDIOLOGYeHealthPrimary Health CareTelemedicineWearable Devices

Identifiers

PMID41360458
PMCPMC12684167

What OpenQuestion 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 OpenQuestion graph.