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December 5, 2025Journal of Medical Internet ResearchOpen Access

Artificial Intelligence–Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study

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Authors

JCJoshua ChadwickJSJanani SuryaVRVarun Ramesan

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Overview

Quasi-experimental study finds AI-enabled mHealth equally effective as traditional messages in promoting diabetes prevention among adults in rural India.

Key Points

  • Both AI-enabled and traditional mobile health interventions achieved comparable effectiveness in diabetes risk reduction behaviors.
  • Adjusted odds ratios indicated no significant differences between engagement levels in either group at the 6-month follow-up.
  • Quasi-experimental method assessed demographic impacts and behavioral outcomes on diabetes prevention through randomized groups.
  • Study emphasizes scalable mobile health strategies using accessible platforms like WhatsApp in low-resource settings.

Cite This Study

Chadwick et al. (2025) studied this question.

synapsesocial.com/papers/6940225c2d562116f28fc57chttps://doi.org/10.2196/79283
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