Leveraging Mobile Health to Improve Self-Care Management for Type 2 Diabetes in Palestine

Raja Rina Raja Ikram

Abstract


This study aims to develop and validate a mobile health model for self-care management among Type 2 Diabetes Mellitus (T2DM) patients in primary health care centers in Palestine. Utilizing structural equation modeling through SPSS and AMOS, eleven dimensions influencing mobile health use were analyzed: Task Requirement, Task Technology Fit, Tool Functioning, Actual Tool Use, Intention to Use Tool, Perceived Ease of Use, Perceived Usefulness, Behavior, Individual Performance, Perceived Self-Efficacy, and Outcome Expectation. The findings reveal that Perceived Usefulness plays the most critical role, while Task Requirement has the least influence. The validated model underscores the importance of mobile health applications in improving self-care management practices for T2DM patients. These results contribute to advancing user-centric designs and highlight the potential for further adaptation of the model to other chronic conditions and diverse healthcare settings.

Keywords


technology acceptance model, mobile health, diabetes

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References


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DOI: http://doi.org/10.11591/ijict.v15i2.pp553-564

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