ArticleNPJ digital medicine2026
Developing psychosocial phenotypes to understand engagement with digital health technologies for heart failure.
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 NCT05056129 (Sensor-controlled Digital Game for Heart Failure Selfmanagement Behavior Adherence), 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.
Sensor-controlled Digital Game for Heart Failure Selfmanagement Behavior Adherence: A Randomized Controlled Trial
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Authors and funding
6 authors.
Funding
Abstract
Digital health technologies (DHTs) such as wearables, smartphones, and connected devices have immense potential for supporting self-care in chronic disease management, yet engagement remains highly variable and is often measured by usage metrics alone. Guided by the AIM-ACT framework, this mixed-methods study examined how psychosocial and contextual factors shape DHT engagement among 146 adults with heart failure who completed a 6-month digital intervention involving multiple devices (ClinicalTrials.gov ID NCT05056129). Using k-medoids clustering of survey, ecological momentary assessment, and device-log data, we identified three distinct psychosocial phenotypes-Challenged Survivors, Activated Learners, Engaged Self-Regulators-reflecting differences in motivation, psychosocial resources, and interaction with DHTs. Qualitative interviews with 26 participants contextualized these phenotypes and revealed mechanisms linking psychosocial traits to DHT engagement quality. Findings underscore the value of psychosocial phenotyping for understanding heterogeneity in DHT engagement to inform the design of adaptive and equitable digital interventions that remain effective as they scale across diverse populations.
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Registered trials
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