Data-driven mechanistic analysis of digital therapeutic–assisted training and evaluation of personalized protocol effects in children with attention deficit/hyperactivity disorder
By
Seon-Chil Kim
Na-Yeong Kong
Sun-Young Lee
Sang-Woo Lee
June 19, 2026
Clinical Scorecard: Mechanistic Insights from Data Analysis of Digital Therapeutics in Tailored Training for Pediatric ADHD Management
At a Glance
Category Detail
Condition Pediatric ADHD Key Mechanisms Impulsivity and speed–accuracy trade-off affecting training performance Target Population Children aged 5–12 years diagnosed with ADHD Care Setting Digital therapeutics as adjunctive interventions
Key Highlights
Performance decline linked to commission errors (impulsivity) rather than omission errors. Personalized digital therapeutic protocols showed greater improvements than standard protocols. Speed–accuracy trade-off observed, with faster responses correlating to higher error rates. Guideline-Based Recommendations
Diagnosis
Diagnosis based on DSM-5 criteria and multidimensional assessment. Management
Pharmacotherapy as primary treatment, with digital therapeutics as adjunctive options. Monitoring & Follow-up
Use of Comprehensive Attention Test (CAT) and Korean ADHD Rating Scale (K-ARS) for assessments. Risks
Potential adverse effects of pharmacotherapy include appetite suppression and sleep disturbances. Patient & Prescribing Data
Children with ADHD aged 5–12 years.
Digital therapeutics can enhance engagement and adherence without medication-related side effects.
Clinical Best Practices
Incorporate individualized performance profiles in digital training. Focus on mechanisms of impulsivity regulation in content design. Related Resources & Content
