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Unlocking Healthcare Access Through Mobile Health: Task-Technology Fit and User Engagement in Indonesia
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Author(s): Muhammad Handzalah Ridwan (Padjadjaran University, Indonesia), Sitti Aminah (National Research and Innovation Agency (BRIN), Jakarta, Indonesia), Ikhsan Fuady (Padjadjaran University, Indonesia), Iwan Koswara (Padjadjaran University, Indonesia), Iin Mutmainah (Department of Women's Empowerment, Child Protection, and Population Control, Government of Jakarta Province, Indonesia), Siti Maemunah (National Research and Innovation Agency (BRIN), Indonesia), Roosganda Elizabeth (National Research and Innovation Agency (BRIN), Indonesia), Dian Martha Indarti (National Research and Innovation Agency (BRIN), Indonesia), Djarwadi (National Research and Innovation Agency (BRIN), Indonesia), Diana Ma'rifah (National Research and Innovation Agency (BRIN), Jakarta, Indonesia)and Azmi Listya Anisah (National Research and Innovation Agency (BRIN), Indonesia)
Copyright: 2026
Volume: 15
Issue: 1
Pages: 25
Source title:
International Journal of Reliable and Quality E-Healthcare (IJRQEH)
Editor(s)-in-Chief: Anastasius Moumtzoglou (Hellenic Society for Quality & Safety in Healthcare and P. & A. Kyriakou Children's Hospital, Greece)
DOI: 10.4018/IJRQEH.396959
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Abstract
The study investigates the impact of task characteristics and technology characteristics on task-technology fit (TTF) and the subsequent effects of TTF on behavioral intention to use and user satisfaction within the context of the mobile application for Indonesia's national health insurance, Jaminan Kesehatan Nasional. The study employs a quantitative research design and a survey-based approach to examine the relationships among key constructs. A structural model was tested using data from 456 active application users. The results indicate that technology characteristics significantly influence TTF, which itself positively affects satisfaction and behavioral intention to use. In contrast, task characteristics showed no significant effect on TTF, suggesting that technological functionality may mitigate task complexity. These findings highlight the importance of designing user-centric, context-sensitive m-Health systems. The study provides practical insights for policymakers in emerging economies to align system features with user needs, enhancing engagement and the overall impact of digital health services.
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