ArticleJAMA network open2021
Association of Wearable Device Use With Pulse Rate and Health Care Use in Adults With Atrial Fibrillation.
Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 39 citations in OpenAlex.
- Consumer wearable devices for evaluation of heart rate control using digoxin versus beta-blockers: the RATE-AF randomized trial.Nature medicine · 2024Trial
- Experiences of Patients With Atrial Fibrillation Using Technology to Personalize Self-Care Decision-Making: Interpretive Description Study.JMIR cardio · 2026Article
- Wearable Devices and Data Sharing in the US.JAMA network open · 2026Article
- Attitudes toward the use of technology among patients with atrial fibrillation.Heart rhythm O2 · 2026Article
- Development and validation of an interpretable machine learning model for predicting atrial fibrillation risk in middle-aged and older patients with coronary heart disease.Frontiers in cardiovascular medicine · 2026Article
- Digital Health-Enabled Monitoring Strategies for Atrial Fibrillation Detection after Embolic Stroke of Undetermined Source: A Cost-Effectiveness Analysis of Implantable Loop Recorders, Wearable Devices, and Usual Care.Cerebrovascular diseases (Basel, Switzerland) · 2025Article
- Psychological Aspects of Wearable Health Technologies in Patients with Cardiovascular Disease: A Literature Review and Call to Action.Current cardiology reports · 2025Review
- Wearable Devices, Health Care Use, and Psychological Well-Being in Patients With Atrial Fibrillation.Journal of the American Heart Association · 2024Article
- Wearable health monitoring: wave of the future or waste of time?Global cardiology science & practice · 2024Review
- Article
- Artificial intelligence-enabled atrial fibrillation detection using smartwatches: current status and future perspectives.Frontiers in cardiovascular medicine · 2024Review
- Exploring Disparities in Healthcare Wearable Use among Cardiovascular Patients: Findings from a National Survey.Reviews in cardiovascular medicine · 2023Article
- Validation of a Deep Learning Algorithm for Continuous, Real-Time Detection of Atrial Fibrillation Using a Wrist-Worn Device in an Ambulatory Environment.Journal of the American Heart Association · 2023Observational
- Improved 1-year outcomes after active cooling during left atrial radiofrequency ablation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2023Article
- Physician responses to apple watch-detected irregular rhythm alerts.American heart journal · 2023Article
- Wearables in Cardiovascular Disease.Journal of cardiovascular translational research · 2023Review
- Review
- Physicians in the era of technology-enabled diagnostics.Nature reviews. Cardiology · 2023Article
- Contemporary Considerations in the Evolution of Wearable Technology for Arrhythmia Detection.Current cardiology reviews · 2023Article
- Successes and challenges of artificial intelligence in cardiology.Frontiers in digital health · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Importance: Increasingly, individuals with atrial fibrillation (AF) use wearable devices (hereafter wearables) that measure pulse rate and detect arrhythmia. The associations of wearables with health outcomes and health care use are unknown. Objective: To characterize patients with AF who use wearables and compare pulse rate and health care use between individuals who use wearables and those who do not. Design, Setting, and Participants: This retrospective, propensity-matched cohort study included 90 days of follow-up of patients in a tertiary care, academic health system. Included patients were adults with at least 1 AF-specific International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) code from 2017 through 2019. Electronic medical records were reviewed to identify 125 individuals who used wearables and had adequate pulse-rate follow-up who were then matched using propensity scores 4 to 1 with 500 individuals who did not use wearables. Data were analyzed from June 2020 through February 2021. Exposure: Using commercially available wearables with pulse rate or rhythm evaluation capabilities. Main Outcomes and Measures: Mean pulse rates from measures taken in the clinic or hospital and a composite health care use score were recorded. The composite outcome included evaluation and management, ablation, cardioversion, telephone encounters, and number of rate or rhythm control medication orders. Results: Among 16 320 patients with AF included in the analysis, 348 patients used wearables and 15 972 individuals did not use wearables. Prior to matching, patients using wearables were younger (mean [SD] age, 64.0 [13.0] years vs 70.0 [13.8] years; P < .001) and healthier (mean [SD] CHA2DS2-VASc [congestive heart failure, hypertension, age ≥ 65 years or 65-74 years, diabetes, prior stroke/transient ischemic attack, vascular disease, sex] score, 3.6 [2.0] vs 4.4 [2.0]; P < .001) compared with individuals not using wearables, with similar gender distribution (148 [42.5%] women vs 6722 women [42.1%]; P = .91). After matching, mean pulse rate was similar between 125 patients using wearables and 500 patients not using wearables (75.01 [95% CI, 72.74-77.27] vs 75.79 [95% CI, 74.68-76.90] beats per minute [bpm]; P = .54), whereas mean composite use score was higher among individuals using wearables (3.55 [95% CI, 3.31-3.80] vs 3.27 [95% CI, 3.14-3.40]; P = .04). Among measures in the composite outcome, there was a significant difference in use of ablation, occurring in 22 individuals who used wearables (17.6%) vs 37 individuals who did not use wearables (7.4%) (P = .001). In the regression analyses, mean composite use score was 0.28 points (95% CI, 0.01 to 0.56 points) higher among individuals using wearables compared with those not using wearables and mean pulse was similar, with a -0.79 bpm (95% CI -3.28 to 1.71 bpm) difference between the groups. Conclusions and Relevance: This study found that follow-up health care use among individuals with AF was increased among those who used wearables compared with those with similar pulse rates who did not use wearables. Given the increasing use of wearables by patients with AF, prospective, randomized, long-term evaluation of the associations of wearable technology with health outcomes and health care use is needed.
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