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Persuasive technology mHealth self-monitoring model for patients with chronic lifestyle disease in South Africa
MAMABOLO, S.M
MAMABOLO, S.M
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Abstract
Sub-Saharan African countries continue to be affected by infectious diseases and currently are going through a period of globalization that increased the prevalence of lifestyle chronic diseases. These chronic diseases are caused by behaviour change making it difficult to control them, as there are no specific trends of control. South Africa has a high prevalence of lifestyle non-communicable diseases (NCDs) due to the fact that the post-apartheid era saw many people migrating to urban areas as a result of black empowerment. A, large part of the population in the country leaves in rural or urban areas with under resourced health facilities. This implies that patients who suffer from chronical conditions spend heavily on medication and hospital visits in an attempt to monitor and control their conditions. However, many patients with chronic incurable diseases fail to comply with the regimens of self-management that end up seeing them revisiting hospitals even before the time they have been booked for their next visit. This study sought to develop a model for self-monitoring mHealth system based on persuasive technology for patients with chronic lifestyle diseases in South Africa. The study was informed by data collected from health practitioners and social workers in the South Africa provinces of Limpopo, Mpumalanga and Gauteng. The collected data was analysed quantitatively using the statistical package for social scientists (SPSS). Results of the study revealed that, apart from patients’ attitude, the rest of the constructs that included mobile technology, patients’ beliefs, culture, environmental factors, social influence, planned behaviour control and behaviour intention are significant in the development of a mHealth self-monitoring model for lifestyle chronic diseases. This study contributes to the ongoing debate of using mHealth for self-monitoring of chronic diseases patients. More still, this study makes a significant contribution of combing three aspects namely; mobile technology, persuasive technology and factors that influence a patient’s surroundings including culture, environment and social surroundings. This study recommends that this model be put to use and be extended to include the analysis of the interacting effects of demographic and situational variables of participants as behaviour change may vary with change in demographics or situational variables. More still, this study further recommends the use of varied methods or triangulation of methods to allow participants to demonstrate their actual feelings towards behaviour change of patients to adhere to medical prescriptions.
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Submitted in Fulfilment of the requirements for the Degree Master of Computing: Informatics in the department of informatics Faculty of Information and Communication Technology at the Tshwane University of Technology.
Date
2022-03-01
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Tshwane University of Technology.
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MCOMP-Mamabolo SM.pdf
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Keywords
Self-monitoring mHealth system., Persuasive technology., Mobile technology., Electronic health (e-health),
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CC0 1.0 Universal