Factors influencing the adoption of mHealth services in a developing country: A patient-centric study |
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| Institution: | 1. School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;2. Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy;3. Department of Neurosurgery, Galliera Hospital, Genoa, Italy;4. Neurosciences Critical Care Unit, Addenbrooke''s Hospital, Cambridge, UK;5. Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK;6. Department of Neurology, Christian Doppler Klinik, Paracelsus Medical University, Salzburg, Austria;7. Department of Neurology, Franz Tappeiner Hospital, Merano, Italy;8. Center for Cognitive Neuroscience, Salzburg, Austria;9. Department of Public Health Technology Assessment, UMIT — University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria;10. Department of Neurological, Biomedical, and Movement Sciences, University of Verona, Italy |
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| Abstract: | mHealth under the umbrella of eHealth has become an essential tool for providing quality, accessible and equal health care services at an affordable cost. Despite the potential benefits of mHealth, its adoption remains a big challenge in developing countries such as Bangladesh. This study aims to examine the factors affecting the adoption of mHealth services in Bangladesh by using the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model with perceived reliability and price value factors. It also examines the moderating effect of gender on the intention to use and on the actual usage behavior of users of mHealth services. A well-structured face-to-face survey was employed to collect the data. Structural equation modeling (SEM) with a partial least squares method was used to analyze the data collected from 296 generation Y participants. The results confirmed that performance expectancy, social influence, facilitating conditions and perceived reliability positively influence the behavioral intention to adopt mHealth services. However, effort expectancy and price value did not have a significance influence on the behavioral intention. Moreover, Gender has a significant moderating effect on mHealth services adoption in certain cases. Finally, the theoretical and practical implications of this study are also discussed. |
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| Keywords: | mHealth Developing countries UTAUT model Generation Y Bangladesh |
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