Paper Number
ICIS2025-2100
Paper Type
Short
Abstract
Mental healthcare systems in Low- and Middle-Income Countries (LMICs) face critical shortages in specialist providers, prompting the adoption of the WHO task-shifting model with digital interventions. While it is a promising solution, implementation remains challenged due to unaddressed systemic barriers such as low resources availability, individuals capacity to be empowered, and fragmented digital intervention strategies. This study uses the Task-Technology Fit (TTF) concept to examine how digital health solutions align with the evolving tasks and capabilities of Non-Specialist Health Workers (NSHWs) in mental health service delivery. Through qualitative case study, we identify the barriers causing misfit between technology functionality and task demands, particularly in dynamic and resource-constrained environments. The findings offer a new theoretical framework, highlighting the process of “shift” from aligning the TTF components affected by barriers dimension. This research contributes to Information Systems literature on digital health to inform a contextually relevant system design strategy of WHO’s mental healthcare transformation in low resource settings.
Recommended Citation
Alvytri, Cintya; Chu, Joyce; Liu, Na; Thomas, Manoj A.; Aryani, Putu; Rai, Cokorda; and Bagus, Cokorda, "Exploring Contextual Task–Technology Misfits in the Digitally Enabled Task-Shifting: A Case Study in Rural Bali" (2025). ICIS 2025 Proceedings. 15.
https://aisel.aisnet.org/icis2025/is_good/is_good/15
Exploring Contextual Task–Technology Misfits in the Digitally Enabled Task-Shifting: A Case Study in Rural Bali
Mental healthcare systems in Low- and Middle-Income Countries (LMICs) face critical shortages in specialist providers, prompting the adoption of the WHO task-shifting model with digital interventions. While it is a promising solution, implementation remains challenged due to unaddressed systemic barriers such as low resources availability, individuals capacity to be empowered, and fragmented digital intervention strategies. This study uses the Task-Technology Fit (TTF) concept to examine how digital health solutions align with the evolving tasks and capabilities of Non-Specialist Health Workers (NSHWs) in mental health service delivery. Through qualitative case study, we identify the barriers causing misfit between technology functionality and task demands, particularly in dynamic and resource-constrained environments. The findings offer a new theoretical framework, highlighting the process of “shift” from aligning the TTF components affected by barriers dimension. This research contributes to Information Systems literature on digital health to inform a contextually relevant system design strategy of WHO’s mental healthcare transformation in low resource settings.
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