ArticleApplied clinical informatics2018
Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers.
Article in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02731326 (iPhone Helping Evaluate Atrial Fibrillation Rhythm Through Technology), which is not on this map. Cited by 23 papers, 2 of them syntheses that pooled 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.
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.
iPhone Helping Evaluate Atrial Fibrillation Rhythm Through Technology
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Considering User Experience and Behavioral Approaches in the Design of mHealth Interventions for Atrial Fibrillation: Systematic Review.Journal of medical Internet research · 2024Pooled it
- User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Cardiac symptom burden and arrhythmia recurrence drives digital health use: results from the iHEART randomized controlled trial.European journal of cardiovascular nursing · 2022Trial
- Barriers and Enablers to Integrating Patient-Generated Health Data in Shared Decision-Making From Health Care Professional and Patient Perspectives: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Understanding patient preferences, experiences and engagement with ambulatory heart rhythm monitoring: a scoping review.BMJ open · 2026Article
- Remotely Monitored Patients' Experiences of the Interpersonal Patient-Nurse Relationship: A Scoping Review.Scandinavian journal of caring sciences · 2025Article
- Attitudes of healthcare professionals and researchers toward wearable and app derived patient generated health data.NPJ digital medicine · 2025Article
- Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review.Interactive journal of medical research · 2024Article
- Characterizing atrial fibrillation symptom improvement following de novo catheter ablation.European journal of cardiovascular nursing · 2024Article
- Knowledge, attitude, and practice of atrial fibrillation in high altitude areas.Frontiers in public health · 2024Article
- The NeoRoo mobile app: Initial design and prototyping of an Android-based digital health tool to support Kangaroo Mother Care in low/middle-income countries (LMICs).PLOS digital health · 2023Article
- A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System.Applied clinical informatics · 2023Article
- Comparing the Acceptance of Mobile Hypertension Apps for Disease Management Among Patients Versus Clinical Use Among Physicians: Cross-sectional Survey.JMIR cardio · 2022Article
- Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype.Frontiers in digital health · 2022Article
- Returning Cardiac Rhythm Data to Patients: Opportunities and Challenges.Cardiac electrophysiology clinics · 2021Review
- Phenotypes of engagement with mobile health technology for heart rhythm monitoring.JAMIA open · 2021Article
- Use of patient-generated health data for shared decision-making in the clinical environment: ready for prime time.mHealth · 2021Article
- Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study.JMIR formative research · 2020Article
- Differential influences of social support on app use for diabetes self-management - a mixed methods approach.BMC medical informatics and decision making · 2020Article
- Updating HIPAA for the electronic medical record era.Journal of the American Medical Informatics Association : JAMIA · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPatient-generated health data (PGHD) collected digitally with mobile health (mHealth) technology has garnered recent excitement for its potential to improve precision management of chronic conditions such as atrial fibrillation (AF), a common cardiac arrhythmia. However, sustained engagement is a major barrier to collection of PGHD. Little is known about barriers to sustained engagement or strategies to intervene upon engagement through application design.
objectiveThis article investigates individual patient differences in sustained engagement among individuals with a history of AF who are self-monitoring using mHealth technology.
methodsThis qualitative study involved patients, health care providers, and research coordinators previously involved in a randomized, controlled trial involving electrocardiogram (ECG) self-monitoring of AF. Patients were adults with a history of AF randomized to the intervention arm of this trial who self-monitored using ECG mHealth technology for 6 months. Semistructured interviews and focus groups were conducted separately with health care providers and research coordinators, engaged patients, and unengaged patients. A validated model of sustained engagement, an adapted unified theory of acceptance and use of technology (UTAUT), guided data collection, and analysis through directed content analysis.
resultsWe interviewed 13 patients (7 engaged, 6 unengaged), 6 providers, and 2 research coordinators. In addition to finding differences between engaged and unengaged patients within each predictor in the adapted UTAUT model (perceived ease of use, perceived usefulness, facilitating conditions), four additional factors were identified as being related to sustained engagement in this population. These are: (1) internal motivation to manage health, (2) relationship with health care provider, (3) supportive environments, and (4) feedback and guidance.
conclusionAlthough it required some modification, the adapted UTAUT model was useful in understanding of the parameters of sustained engagement. The findings of this study provide initial requirement specifications for the design of applications that engage patients in this unique population of adults with AF.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.