Digital Individualized and Collaborative Treatment (DICTA) RCT aims to optimize T2D management in general practice
Background
Effective management of Type 2 Diabetes (T2D) requires multifactorial intervention, often falling short in general practice due to limited resources for individualized care. Patients with T2D face a high risk of cardiovascular disease (CVD), necessitating optimized control of glycemic parameters, hypertension, and hypercholesterolemia. Current standard-of-care often lacks the integrated, real-time, and personalized support needed to sustain lifestyle changes and tailor pharmacological treatments effectively. This project addresses this gap by integrating specialist-supervised treatment, individual patient coaching, and data-driven decision support directly into general practice IT systems.
Study Design
This randomized controlled trial (RCT) will enroll 400 patients with newly diagnosed type 2 diabetes. The intervention group will receive the DICTA system, comprising two integrated components: a patient-directed eHealth lifestyle coaching program via the LIVA application, and a clinician-directed Clinical Decision Support (CDS) tool embedded into the general practitioner's EPJ (Electronic Patient Journal) system. Patients in the intervention arm will receive individualized digital coaching from a health coach, with Patient-Reported Outcomes (PROs) shared with GPs. GPs will receive real-time, algorithm-based pharmacological treatment recommendations for T2D, hypertension, and hypercholesterolemia. The control group will receive usual care. After one year, researchers will assess quality of life and cardiovascular risk factors in both groups to evaluate improved T2D management.
Why It Matters
If effective, this DICTA intervention could revolutionize type 2 diabetes management by providing a scalable, personalized, and integrated care model within general practice. It offers a practical pathway to empower patients through digital coaching while equipping clinicians with data-driven treatment recommendations, potentially leading to better control of glycemic parameters, blood pressure, and lipid profiles. This approach could significantly improve patient engagement and optimize treatment effects, moving beyond generic guidelines to truly individualized care. The intervention's design for national implementation in Denmark and adaptability to other lifestyle-related chronic diseases suggests a broad impact on public health, making personalized digital health a core component of chronic disease management.
type-2-diabetes
rct
ehealth
digital-health
lifestyle-intervention
clinical-decision-support