Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market...

Area of Science:

• Digital Health
• Diabetes Management Technology
• Behavioral Science

Background:

• Technological advancements offer new avenues for type 2 diabetes prevention and management.
• Venture capital is investing heavily in digital behavior change interventions (DBCIs).
• The scientific evidence and technological sophistication of these DBCIs are not well understood.

Purpose of the Study:

• Identify top-funded DBCIs for type 2 diabetes.
• Assess the scientific evidence supporting these DBCIs.
• Determine the use of novel automated approaches like conversational agents (CAs) and just-in-time adaptive interventions (JITAIs).

Main Methods:

• Systematic search of venture capital databases (Crunchbase Pro, Pitchbook) for top-funded companies.
• Literature review of scientific publications and company websites for evidence and intervention characteristics.
• Utilized the CDC's Diabetes Prevention Recognition Program (DPRP) for evidence-based program recognition.

Main Results:

• Top 16 companies received $2.4 billion in funding; only 4 out of 50 publications were fully powered RCTs.
• One RCT showed significant HbA1c improvement; all studies reported 0.2%-1.9% HbA1c reduction over 12 months.
• Six DBCIs were DPRP-recognized; few utilized CAs (1/10 apps) or advanced JITAI data sources (62% self-reports).

Conclusions:

• High funding for DBCIs does not correlate with robust scientific evidence of effectiveness.
• Significant variation exists in evidence quality, necessitating more rigorous trials and transparent reporting.
• Limited use of automated features (CAs, JITAIs) restricts the scalability and impact of current DBCIs.