Trial reportJournal of the American Heart Association2019
eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline-Recommended Therapy in Metropolitan General Practice: The AF - SMART Study.
Trial report in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 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
- Design, effectiveness, and economic outcomes of contemporary chronic disease clinical decision support systems: a systematic review and meta-analysis.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- Pooled it
- Opportunistic screening versus usual care for diagnosing atrial fibrillation in general practice: a cluster randomised controlled trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020Trial
- eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline-Recommended Therapy in Metropolitan General Practice: The AF - SMART Study.Journal of the American Heart Association · 2019Trial
- Cost-Effectiveness of Annual Atrial Fibrillation Screening Compared with Current Opportunistic Screening in Australian Primary Care: A Model-Based Economic Evaluation.Applied health economics and health policy · 2026Article
- Atrial fibrillation in Australia, New Zealand, Malaysia, and Singapore: unmet needs and future priorities.The Lancet regional health. Western Pacific · 2026Article
- Improved Anticoagulation Guideline Adherence and Clinical Outcome Through Hospital-Wide Atrial Fibrillation Alarming System.Acta Cardiologica Sinica · 2026Article
- Novel Multicomponent Digital Care Assistant and Support Program for People After Stroke or Transient Ischaemic Attack: A Pilot Feasibility Study.Sensors (Basel, Switzerland) · 2024Article
- Global implementation and evaluation of atrial fibrillation screening in the past two decades - a narrative review.NPJ cardiovascular health · 2024Review
- Lower-adherence direct oral anticoagulant use is associated with increased risk of thromboembolic events than warfarin.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024Article
- Opportunistic atrial fibrillation screening in primary care in Ireland: results of a pilot screening programme.Open heart · 2024Article
- Increasing screening for atrial fibrillation in general practice: the Atrial Fibrillation Self-Screening, Management And guideline-Recommended Therapy (AF Self-SMART) study.The Medical journal of Australia · 2023Article
- Machine learning-based identification of risk-factor signatures for undiagnosed atrial fibrillation in primary prevention and post-stroke in clinical practice.European heart journal. Quality of care & clinical outcomes · 2022Article
- Trends in guideline implementation: an updated scoping review.Implementation science : IS · 2022Article
- Use of a smartphone electrocardiogram to diagnose arrhythmias during exercise in athletes: a case series.European heart journal. Case reports · 2022Article
- Atrial fibrillation (AF) pilot screening programme in primary care in Ireland: an implementation study protocol.BMJ open · 2022Article
- 2021 Asia Pacific Heart Rhythm Society (APHRS) practice guidance on atrial fibrillation screening.Journal of arrhythmia · 2022Article
- Contactless facial video recording with deep learning models for the detection of atrial fibrillation.Scientific reports · 2022Article
- Article
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 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background This eH ealth implementation study aimed to evaluate strategies to promote opportunistic atrial fibrillation ( AF ) screening using electronic screening prompts and improve treatment using electronic decision support ( EDS ) software. Methods and Results An electronic screening prompt appeared whenever an eligible patient's (aged ≥65 years, no AF diagnosis) medical record was opened in participating general practices. General practitioners and practice nurses offered screening using a smartphone ECG, with validated AF algorithm. Guideline-based EDS was provided to assist treatment decisions. Deidentified data were collected from practices using a data extraction tool. General practices (n=8) across Sydney, Australia, screened for a median of 6 months. A total of 1805 of 11 476 (16%) eligible patients who attended were screened (44% men, mean age 75.7 years). Screening identified 19 (1.1%) new cases of AF (mean age, 79 years; mean CHA
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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.