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Using a Responsive Feedback Approach to Develop and Pilot a Counseling Chatbot to Strengthen Child Nutrition in Rural
Namrata Tomar1, Sriya Srikrishnan2, Neal Lesh3
1Dimagi India, New Delhi, India. ntomar@dimagi.com.
Global Health, Science and Practice
|December 5, 2023
Summary
A chatbot named Poshan Didi was developed to provide nutrition counseling to mothers in India. The pilot study showed high user engagement and acceptance, indicating potential for improved child nutrition outcomes.
Area of Science:
- Digital health interventions
- Public health
- Child nutrition
Background:
- Undernutrition causes nearly half of deaths in Indian children under 5.
- Caregiver support through multiple channels can improve child nutrition.
- Digital tools offer a scalable solution for nutrition education.
Purpose of the Study:
- To develop and pilot a chatbot, Poshan Didi, for improving child nutrition outcomes in India.
- To assess the acceptability, feasibility, and engagement of the chatbot among mothers with children aged 0-12 months.
Main Methods:
- Stakeholder engagement and theory of change development.
- Chatbot (Poshan Didi) creation for individual counseling on nutrition.
- Two-phase pilot study (n=10, then n=100 mothers) in Katni district, India, collecting quantitative and qualitative data.
Main Results:
- Mothers perceived the chatbot as a private, knowledgeable resource.
- 80% of users responded to chatbot messages.
- 64% engaged beyond automated content, seeking nurse support for escalated issues.
Conclusions:
- Chatbots can increase caregiver access to nutrition counseling by creating interaction touchpoints.
- Responsive feedback in chatbot design enhances the efficacy of digital health tools.
- Poshan Didi demonstrates a promising approach to improving child nutrition through accessible digital information.
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