Co-design of “Baatcheet,” a peer-supported, web-based storytelling intervention for young people with common mental health problems in India
2024

Baatcheet: A Web-Based Storytelling Intervention for Young People in India

Sample size: 73 publication 10 minutes Evidence: moderate

Author Information

Author(s): Gonsalves Pattie P., Mittal Dhriti, Aluria Shruti, Khan Aarushi, Razdan Eshita, Kashyap Priyambada, Rahate Navvya, D’Silva Manek, Iyengar Sonaksha, Gonsalves Faith, Pal Sweta, Ansari Salik, Berry Clio, Michelson Daniel

Primary Institution: Sangath, New Delhi, India

Hypothesis

Can a peer-supported, web-based storytelling intervention improve mental health outcomes for young people with depression and anxiety in India?

Conclusion

Baatcheet has the potential to provide engaging and accessible mental health support to young people in low-resource settings.

Supporting Evidence

  • Baatcheet aims to reduce the treatment gap for mental health issues in India, where over 90% of young people do not receive care.
  • The intervention was co-designed with input from young people to ensure it meets their needs.
  • User-testing showed high usability scores for the Baatcheet website.
  • Participants expressed a strong preference for peer support in the intervention.
  • Stories shared on the platform are intended to be relatable and culturally relevant.

Takeaway

Baatcheet is a website where young people can share and read stories about mental health, helping them feel less alone and learn how to cope.

Methodology

The intervention was developed through consultations, focus groups, and user-testing with young people and stakeholders.

Potential Biases

Potential bias from self-selection of participants and the involvement of youth advisors with lived experience.

Limitations

The study's findings may not be generalizable to all young people in India due to the specific settings and demographics involved.

Participant Demographics

Participants were aged 16-25, with a balanced representation of genders.

Digital Object Identifier (DOI)

10.1017/gmh.2024.148

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