Digital Health Application Adoption among Community Health Workers in Bangladesh: The Roles of Task-Technology Fit and Institutional Support

Authors

DOI:

https://doi.org/10.54536/ajpehs.v4i2.8634

Keywords:

Bangladesh Digital Health, Community Health Workers, Digital Health Application, Institutional Support, Task–Technology Fit, Technology Characteristics

Abstract

This study analyzes the digital health application adoption in community health workers in Bangladesh by incorporating the task characteristics, technology characteristics, institutional support, task-technology fit, and digital health application adoption in a PLS-SEM framework. This survey involved a group of 530 community health workers in health institutions in a cross-sectional survey. Partial least squares structural equation modelling was used to analyses the data to determine the measurement model, structural relationships, mediation, explanatory power, and predictive relevance. The results established indicator reliability, internal consistency, convergent, and discriminant validity. There were positive and significant impacts on task-technology fit on task characteristics, technology characteristics and institutional support. Task–technology fit and institutional support also had positive and significant effects on digital health application adoption. Task function technology fit has become the most significant direct predictor of adoption whereas the technology characteristics became the most significant predictor of task technologies fit. We found that task-technology fit was found to transmit the impact of both task characteristics and technology characteristics on the adoption process. The model explained 46.2% of the variance in task–technology fit and 48.2% of the variance in digital health application adoption. Positive values of the predict Q2 and reduction in the prediction error as compared to the benchmark verified predictive relevance. The paper reveals the necessity of quality applications, alignment of tasks, training, infrastructure and the consistent support of the institutions.

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Published

2026-10-06

How to Cite

Das, B. B. ., Chowdhury, M. A. H. ., Rahman, M. M. ., Shemanto, S. A. ., & Shamia, J. . (2026). Digital Health Application Adoption among Community Health Workers in Bangladesh: The Roles of Task-Technology Fit and Institutional Support. American Journal of Physical Education and Health Science, 4(2), 99-112. https://doi.org/10.54536/ajpehs.v4i2.8634

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