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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.
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.
Abstract:
An estimated 5.0 million children aged under 5 years died in 2020, with 82% of these deaths occurring in sub-Saharan Africa and southern Asia. Over one-third of Mumbai's population has limited access to healthcare, and child health outcomes are particularly grave among the urban poor. We describe the implementation of a digital technology-based child health programme in Mumbai and evaluate its holistic impact. Using an artificial intelligence (AI)-powered mobile health platform, we developed a programme for community-based management of child health. Leveraging an existing workforce, community health workers (CHW), the programme was designed to strengthen triage and referral, improve access to healthcare in the community, and reduce dependence on hospitals. A Social Return on Investment (SROI) framework is used to evaluate holistic impact. The programme increased the proportion of illness episodes treated in the community from 4% to 76%, subsequently reducing hospitalisations and out-of-pocket expenditure on private healthcare providers. For the total investment of Indian Rupee (INR) 2,632,271, the social return was INR 34,435,827, delivering an SROI ratio of 13. The annual cost of the programme per child was INR 625. Upskilling an existing workforce such as CHWs, with the help of AI-driven decision- support tools, has the potential to extend capacity for critical health services into community settings. This study provides a blueprint for evaluating the holistic impact of health technologies using evidence-based tools like SROI. These findings have applicability across income settings, offering clear rationale for the promotion of technology-supported interventions that strengthen healthcare delivery.
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