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August 1, 2025

Problem Framing for Digital Diabetes Solutions: A Systematic Literature Review of Engagement Barriers, Facilitators, and Outcomes (Preprint)

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Authors

ATAyesha ThanthrigeNWNilmini Wickramasinghe

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Overview

Systematic literature review identifies barriers and facilitators influencing AI and non-AI engagement outcomes in diabetes care.

Key Points

  • Digital health interventions show promise for managing type 2 diabetes, but face engagement challenges.
  • Key engagement barriers include high dropout rates, poor personalisation, and cultural mismatches.
  • AI-driven interventions lead to moderate outcomes with HbA1c reductions of up to 0.39% and weight loss of 10.6%.
  • The review emphasizes the need for culturally tailored, user-centered approaches to enhance engagement in digital health solutions.

Cite This Study

Thanthrige et al. (2025) studied this question.

synapsesocial.com/papers/689a0c6be6551bb0af8cfde5https://doi.org/10.2196/preprints.80582
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1DIGITAL HEALTH INTERVENTIONS IN TYPE 2 DIABETES: A NARRATIVE REVIEW OF PATIENT ENGAGEMENT, SELF-MANAGEMENT, AND BARRIERS TO ADOPTION2026
  2. 2Exploring patient perceptions of artificial intelligence (AI) in diabetes self-management: foundations for an AI-integrated shared decision-making model (Preprint)2025
  3. 3Barriers and Facilitators to Artificial Intelligence Implementation in Diabetes Management from Healthcare Workers’ Perspective: A Scoping Review2025
  4. 4Digital Health Technologies for Chronic Disease Prevention: A Narrative Review2026 · 1 citations
  5. 5Digital Twin Applications in Diabetes Management: Scoping Review2026 · 1 citations