Abstract
Introduction: Adult Attention-Deficit/Hyperactivity Disorder (ADHD) is associated with negative long-term outcomes including accident and injury, impairment in social and occupational functioning, and a high rate of mental health comorbidities. Access to suitable healthcare remains challenging due to diagnostic delays, variable treatment responses, and difficulties transitioning out of pediatric support structures. Digital health technologies (DHTs) hold the potential to address these challenges.Methods: We conducted a scoping review to identify DHTs developed specifically for adults with ADHD, categorize them by their intended role within the health and social care system and by their core technological features, examine their methodological trends, and examine the quality of evidence by conducting a Risk of Bias analysis.Results: A systematic search across databases, up to December 2025, identified 133 eligible studies. 63 were categorized as Treat a Specific Condition, most frequently using web/app-based cognitive therapy or psychoeducation (n = 26), cognitive training programs (n = 13), transcranial stimulation (n = 12), and neurofeedback (n = 9). 36 were categorized as Drive Clinical Management, with technologies mostly supporting diagnostic decision-making through machine-learning analysis of participant features, such as data from continuous performance tasks (n = 11), neuroimaging (n = 11), and virtual reality (n = 5). 19 papers were classified as Diagnose a Specific Condition and used similar machine-learning classification, yet do not situate the DHT as a support tool that complements the traditional clinical assessment pathway.Discussion: Through our analysis, we identify various opportunities to strengthen the evidence base. This includes clarifying clinical integration points for diagnostic DHTs, ensuring technologies support adherence by incorporating lived experience, and developing remote monitoring technologies that demonstrate value to both clinicians and patients. Key questions remain on how DHTs can be translated into clinical practice, and we highlight various implementation-oriented frameworks which can guide development by encouraging multidisciplinary research that ensures the broader health and care system is considered alongside isolated measures of preliminary efficacy.
| Original language | English |
|---|---|
| Article number | 1746732 |
| Number of pages | 22 |
| Journal | Frontiers in Digital Health |
| Volume | 8 |
| DOIs | |
| Publication status | Published - 23 Feb 2026 |
Bibliographical note
Publisher Copyright:© 2026 Schofield, Wilkie, Nielsen, Brigden, Jones and Isotalus.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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