ArticleNPJ digital medicine2026
Evaluating a digital decision aid for atrial fibrillation rhythm control in a hybrid implementation-effectiveness trial.
Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04993807 (Data-driven Shared Decision-Making), which is not on this map. Not yet cited in PubMed.
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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.
Data-driven Shared Decision-Making (SDM) to Reduce Symptom Burden in Atrial Fibrillation (AF)
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0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
9 authors.
Funding
Abstract
Digital decision aids significantly improve shared decision-making outcomes, but barriers to implementation in clinical settings remain. We conducted a Hybrid Type 2 implementation-effectiveness trial of an atrial fibrillation rhythm control decision aid (clinicaltrials.gov NCT04993807; registered 08/06/2021) among 75 older adults across two sites. Guided by the RE-AIM framework, we assessed decision quality and implementation outcomes. While the decision aid was highly acceptable and broadly adopted, changes in decisional conflict and self-efficacy varied widely, with no significant average improvement across the cohort. Subgroup and qualitative analyses revealed that the decision aid was most effective when delivered to the right patient, at the right time, and in the right clinical context. Barriers included variability in health literacy, digital access, and timing of delivery relative to the clinical decision-making process. Findings underscore the challenges of deploying digital interventions within real-world workflows and highlight the importance of targeting decision support tools based on patient readiness, literacy, and care context.
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Registered trials
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