Evidence map›Paper›PMID 42275528›Full record

ArticleJMIR cardio2026

Experiences of Patients With Atrial Fibrillation Using Technology to Personalize Self-Care Decision-Making: Interpretive Description Study.

Kathy L Rush, Cherisse L Seaton, Alexandra Lukey, Victor Wang, Peter S Loewen, Wynne Chiu, Megan Patapoff, Lana Moroz, Jason G Andrade

Abstract read
In one paragraph

Article in JMIR cardio, 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

9 authors.

Kathy L RushSchool of Nursing, Faculty of Health and Social Development, The University of British Columbia, 1147 Research Rd,, Kelowna, BC, V1V 1V7, Canada, 1 250-807-8652.ORCID http://orcid.org/0000-0002-0879-7187
Cherisse L SeatonSchool of Nursing, Faculty of Health and Social Development, The University of British Columbia, 1147 Research Rd,, Kelowna, BC, V1V 1V7, Canada, 1 250-807-8652.ORCID http://orcid.org/0000-0003-4646-9894
Alexandra LukeySchool of Nursing, Faculty of Health and Social Development, The University of British Columbia, 1147 Research Rd,, Kelowna, BC, V1V 1V7, Canada, 1 250-807-8652.ORCID http://orcid.org/0000-0001-9661-7790
Victor WangSchool of Nursing, Faculty of Health and Social Development, The University of British Columbia, 1147 Research Rd,, Kelowna, BC, V1V 1V7, Canada, 1 250-807-8652.ORCID http://orcid.org/0009-0007-0899-3501
Peter S LoewenFaculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-7160-6438
Wynne ChiuHeart Failure and Transplantation, St Paul's Hospital, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-5292-522X
Megan PatapoffAmbulatory Cardiology, Vancouver General Hospital, Vancouver, BC, Canada.ORCID http://orcid.org/0009-0008-1167-3434
Lana MorozCardiac Atrial Fibrillation Clinic at Diamond Health Centre, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0003-3494-7852
Jason G AndradeCardiac Atrial Fibrillation Clinic at Diamond Health Centre, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-8493-5123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atrial fibrillation (AF) is the most common sustained heart rhythm disorder and is a challenging chronic disease to manage. Patients' daily self-care decisions are associated with improved AF outcomes, quality of life, and decreased hospital use and cost. However, many patients find these real-world or naturalistic decisions difficult, often because of their inherent complexity and ambiguity, coupled with the uncertainty of AF. Intervention research using technology to support AF self-care has largely emphasized making decisions with clinicians. Patients with AF are increasingly using consumer technology; yet, little is known about the use of technology by patients with AF in independent self-care decision-making. Addressing this gap will facilitate developing interventions that better leverage technology to enhance patients' naturalistic decision-making. Objective: This study aimed to explore the experiences of older adult patients in using technology to support self-care decision-making. Methods: Following an interpretive descriptive qualitative approach, older adult patients with AF were recruited from 3 specialty heart function clinics in a Western Canadian province to participate in 1 of 6 facilitated virtual focus groups for 1.5 hours. Patients were asked about their self-care decision-making since AF diagnosis, their AF-specific technology use and its use in making self-care decisions, their technology motivations, benefits, constraints, and other possibilities for use. Inductive thematic analysis was used to code the transcribed data, moving from open coding to clustering of common codes into categories, looking for patterns of meaning between and across categories to iteratively arrive at main themes and subthemes. Results: Thirty patients (n=15, 50% women) with AF (mean age, 73, SD 5.7 years; range 63-85 years) participated in the focus groups. Participants' experiences of using technology to make daily self-care decisions were highly variable but centered on its personalized use to meet their individualized needs, preferences, and life context. The personalizing process of technology use in decision-making was characterized by three themes: (1) beginning technology use in their own times and ways, during their AF trajectory-pre-, at the time, at some point AF post diagnosis, and could be either self-initiated and/or provider recommended or influenced; (2) developing patterns of AF self-care decision-making using technology, including establishing their personal baseline, keeping out of the danger zone, watchful waiting, and seeking decision-making support; and (3) finding the place for technology in normalizing daily life, either settling on or limiting its use to normalize life. Conclusions: Findings expand understandings of naturalistic decision-making by elucidating the personalized process of technology use in AF self-care.

Indexed as

Atrial FibrillationDecision MakingSelf CareAgedAged, 80 and overDigital HealthFemaleFocus GroupsHumansMaleMiddle AgedQualitative ResearchQuality of Lifeatrial fibrillationcardiovascularexperiencemobile phonenaturalistic decision-makingqualitativeself-caretechnology

Identifiers

PMID42275528
PMCPMC13256484

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.