Accepted for/Published in: JMIR Formative Research
Date Submitted: Jun 2, 2023
Date Accepted: Jul 4, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
mHealth self-monitoring model for medicine adherence of diabetic patients in developing countries
ABSTRACT
The Covid-19 pandemic led to serious challenges; and emphasized the importance of using technology for healthcare operational transformation. Consequently, this has increased the need for technological innovations, thus empowering patients with chronic conditions to tighten up on their adherence to medical prescriptions. The objective of this study was to develop a model for an mHealth self-monitoring system for diabetic patients in rural communities of developing countries. Quantitative data was collected from healthcare providers and used to validate the designed self-monitoring model. Results indicated that environmental factors significantly influence all the independent constructs which inform patients’ change of behaviour towards the use of mHealth self-monitoring for medicine adherence. Technology characteristics such as effort expectancy, self-efficacy, and performance expectancy are equally significant. On the other hand, the contribution of culture and social aspects was found insignificant. The developed model is to be used to extend research into self-monitoring of patients with chronic conditions. More so, the model will be used as a basic architecture for implementation of fully-fledged systems for diabetic patients’ self-monitoring.
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