With the growing demand for mobile based interventions in healthcare, use of smartphone applications for disease management and prevention, especially non communicable diseases like chronic respiratory diseases, diabetes, and hypertension are on the rise. Tobacco use or smoking is the leading preventable risk factor for NCDs (Non Communicable Diseases). Although an innovative mobile based multi-feature service can be a potential tool for smokers to help them quit smoking, it is also necessary to investigate the level of acceptance as well as the factors leading to the acceptance of such a service. This study identifies some of the factors that influence acceptance of such a smartphone based multi-feature service for smoking cessation. The study utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical model, along with Partial Least Square (PLS) analysis. The findings indicate that factors like “performance expectancy”, “facilitating conditions”, “effort expectancy” and “Social influence” are significant determinants of intention and use of the smartphone based multi-feature service.

School of Public Health and Community Medicine University of New South Wales Sydney Australia

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