Assessing a digital technology-supported community child health programme in India using the Social Return on

Manasi Patil1, Athar Qureshi2, Elina Naydenova1

  • 1Feebris Ltd, Saffron Walden, United Kingdom.

PLOS Digital Health
|November 1, 2023
PubMed

Insights

A digital health program in Mumbai improved child healthcare access by empowering community health workers with AI tools. This initiative significantly reduced hospitalizations and healthcare costs for urban poor families.

Area of Science:

  • Digital Health Interventions
  • Child Health Management
  • Public Health Technology

Background:

  • Millions of children under five die annually, with high mortality in sub-Saharan Africa and South Asia.
  • Mumbai's urban poor face significant barriers to healthcare access, leading to poor child health outcomes.
  • Existing healthcare systems often struggle with capacity, necessitating innovative community-based solutions.

Purpose of the Study:

  • To implement and evaluate a digital technology-based child health program in Mumbai.
  • To assess the holistic impact of an AI-powered mobile health platform on community-based child healthcare.
  • To determine the Social Return on Investment (SROI) of the implemented health technology.

Main Methods:

  • Development of an AI-powered mobile health platform for community-based child health management.
  • Leveraging community health workers (CHWs) to strengthen triage, referral, and community-level care.
  • Evaluation of the program's impact using the Social Return on Investment (SROI) framework.

Main Results:

  • Increased community treatment of illness episodes from 4% to 76%.
  • Significant reduction in hospitalizations and out-of-pocket healthcare expenditures.
  • Achieved a Social Return on Investment (SROI) ratio of 13 (INR 34,435,827 social return on INR 2,632,271 investment).

Conclusions:

  • AI-driven decision-support tools can effectively upskill community health workers, extending healthcare capacity.
  • Technology-supported interventions are crucial for strengthening healthcare delivery in underserved communities.
  • The study provides a model for evaluating health technologies using evidence-based tools like SROI, applicable across income settings.

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