ArticleJMIR cardio2020
The Atrial Fibrillation Health Literacy Information Technology Trial: Pilot Trial of a Mobile Health App for Atrial Fibrillation.
Article in JMIR cardio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03093558 (Pilot Atrial Fibrillation Information Technology Trial), which is not on this map. Cited by 32 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Pilot Atrial Fibrillation Information Technology Trial
Who cites it
32 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Engagement With Conversational Agent-Enabled Interventions in Cardiometabolic Disease Self-Management: Systematic Review.JMIR mHealth and uHealth · 2025Pooled it
- Conversational Agents Supporting Self-Management in People With a Chronic Disease: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Evaluating the Effectiveness of Mobile Apps on Medication Adherence for Chronic Conditions: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- A Systematic Review on Mobile Health Applications' Education Program for Patients Taking Oral Anticoagulants.International journal of environmental research and public health · 2021Pooled it
- Trial
- A mobile relational agent to enhance atrial fibrillation self-care: Primary and secondary outcomes of a randomized controlled trial.American heart journal · 2025Trial
- The mobile health intervention for rural patients with atrial fibrillation a randomized controlled trial.International journal of cardiology · 2025Trial
- Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial.JMIR cardio · 2025Trial
- Patient Perspectives on Conversational Artificial Intelligence for Atrial Fibrillation Self-Management: Qualitative Analysis.Journal of medical Internet research · 2025Trial
- Health Literacy Interventions and Outcomes in Patients WithAtrial Fibrillation: A Systematic Review and Meta-Analysis.JACC. Advances · 2026Article
- Effectiveness of virtual nurse interventions in chronic disease self-management: a systematic review of randomized controlled trials.BMC nursing · 2026Article
- Digital Health Literacy and Tool Adoption in Postoperative Care in a Safety-Net Hospital Population: Mixed Methods Study.JMIR human factors · 2026Article
- Involving End Users in Co-Designing Mobile Health Interventions for Hypertension Self-Management: Formative Study.JMIR formative research · 2026Article
- PROMBot-HSM-AF: protocol for a feasibility study of a chatbot-based platform to collect patient-reported outcomes after atrial fibrillation ablation.Frontiers in cardiovascular medicine · 2026Article
- Exploring Acceptance of Digital Health Technologies for Managing Non-Communicable Diseases Among Older Adults: A Systematic Scoping Review.Journal of medical systems · 2025Article
- Artificial intelligence in atrial fibrillation: emerging applications, research directions and ethical considerations.Frontiers in cardiovascular medicine · 2025Review
- Health Professionals' Views on the Use of Conversational Agents for Health Care: Qualitative Descriptive Study.Journal of medical Internet research · 2024Article
- Engagement With Conversational Agent-Enabled Interventions in Cardiometabolic Disease Management: Protocol for a Systematic Review.JMIR research protocols · 2024Article
- Factors Associated with Quality of Life among People with Atrial Fibrillation: Jordan Atrial Fibrillation Registry Study.Medicina (Kaunas, Lithuania) · 2024Article
- Assessing the impact of atrial fibrillation self-care interventions: A systematic review.American heart journal plus : cardiology research and practice · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundAtrial fibrillation (AF) is a common arrhythmia that adversely affects health-related quality of life (HRQoL). We conducted a pilot trial of individuals with AF using a smartphone to provide a relational agent as well as rhythm monitoring. We employed our pilot to measure acceptability and adherence and to assess its effectiveness in improving HRQoL and adherence.
objectiveThis study aims to measure acceptability and adherence and to assess its effectiveness to improve HRQoL and adherence.
methodsParticipants were recruited from ambulatory clinics and randomized to a 30-day intervention or usual care. We collected baseline characteristics and conducted baseline and 30-day assessments of HRQoL using the Atrial Fibrillation Effect on Quality of Life (AFEQT) measure and self-reported adherence to anticoagulation. The intervention consisted of a smartphone-based relational agent, which simulates face-to-face counseling and delivered content on AF education, adherence, and symptom monitoring with prompted rhythm monitoring. We compared differences in AFEQT and adherence at 30 days, adjusted for baseline values. We quantified participants' use and acceptability of the intervention.
resultsA total of 120 participants were recruited and randomized (59 to control and 61 to intervention) to the pilot trial (mean age 72.1 years, SD 9.10; 62/120, 51.7% women). The control group had a 95% follow-up, and the intervention group had a 93% follow-up. The intervention group demonstrated significantly higher improvement in total AFEQT scores (adjusted mean difference 4.5; 95% CI 0.6-8.3; P=.03) and in daily activity (adjusted mean difference 7.1; 95% CI 1.8-12.4; P=.009) compared with the control between baseline and 30 days. The intervention group showed significantly improved self-reported adherence to anticoagulation therapy at 30 days (intervention 3.5%; control 23.2%; adjusted difference 16.6%; 95% CI 2.8%-30.4%; P<.001). Qualitative assessments of acceptability identified that participants found the relational agent useful, informative, and trustworthy.
conclusionsIndividuals randomized to a 30-day smartphone intervention with a relational agent and rhythm monitoring showed significant improvement in HRQoL and adherence. Participants had favorable acceptability of the intervention with both objective use and qualitative assessments of acceptability.
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Registered trials
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