Abstract
Mental health care in rural low and middle-income countries (LMICs) is constrained by shortages of specialists, stigma, low literacy, and limited infrastructure. In Abang District, Bali, Indonesia, these challenges hinder the work of non-specialist health workers (NSHWs) who often provide frontline care. Building on prior findings of task–technology misfits, this research-in-progress presents the design of a community-centred digital mental health platform. The system features offline-first operation, multimodal literacy support, and role-based workflows, developed through co-design with local stakeholders. An initial graphical user interface (GUI) evaluation of a mid-fidelity prototype in Figma, conducted with volunteers and a system administrator from the Suryani Institute for Mental Health, provided early validation of usability and workflows. Future work will expand testing to broader user groups, pilot the platform across multiple villages, and evaluate platform–task alignment using Task–Technology Fit (TTF) theory. This study offers practical and theoretical contributions to inclusive digital health design in LMICs.
Recommended Citation
Pramartha, Cokorda; Lesmana, Cokorda; Liu, Na; Thomas, Manoj; Aryani, Putu; and Chu, Joyce, "A Community-Centred Digital Mental Health Platform for
Low-Literacy Rural Settings" (2025). ACIS 2025 Proceedings. 25.
https://aisel.aisnet.org/acis2025/25