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Learnings From Implementation of Technology-Enabled Mental Health Interventions in India: Implementation Report
Sudha Kallakuri1, Sridevi Gara1, Mahesh Godi1
1George Institute for Global Health, New Delhi, India.
Technology-enabled mental health interventions increase access to care in low-resource settings. Careful app development and iterative testing are crucial for successful implementation in diverse populations.
Area of Science:
- Digital Health
- Mental Healthcare
- Public Health Interventions
Background:
- Growing need for accessible mental health services, particularly in low- and middle-income countries.
- Shortage of trained mental health professionals necessitates innovative care delivery models.
- Technology-enabled interventions offer a scalable solution to bridge the care gap.
Purpose of the Study:
- To document the development and implementation of technology-enabled mental health interventions in India.
- To identify challenges and propose solutions for deploying digital mental health tools in diverse settings.
- To share experiences from pilot and large-scale trials involving adults and adolescents.
Main Methods:
- Overview of technological frameworks including Systematic Medical Appraisal and Referral Treatment (SMART) Mental Health and Adolescents' Resilience and Treatment Needs for Mental Health in Indian Slums (ARTEMIS) studies.
- Utilization of mobile applications for data collection and databases for secure data storage.
- Detailed description of technological enhancements and adaptations at mobile app and database levels.
Main Results:
- Implemented descriptive analytics, offline/online data storage, and customized Open Medical Record System.
- Enhanced system security through modified encryption and merged apps for simultaneous data collection.
- Demonstrated feasibility of technology-driven data management in mental health research.
Conclusions:
- Technology-enabled interventions are effective for reaching large populations in resource-limited environments.
- Mobile app development must be context-specific and undergo rigorous, iterative testing.
- Findings support the use of similar technologies in future mental health research and service delivery.
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