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Sociocultural and Technological Barriers Across all Phases of Implementation for Mobile Health in Developing Countries

, , , , and . Applied Computing in Medicine and Health, chapter 10, Elsevier and Morgan Kaufmann, Amsterdam, (2016)
DOI: 10.1016/B978-0-12-803468-2.00010-2

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Sociocultural and Technological Barriers Across all Phases of Implementation for Mobile Health in Developing Countries, , , , and . Applied Computing in Medicine and Health, chapter 10, Elsevier and Morgan Kaufmann, Amsterdam, (2016)Vision and Voice in eConsent: Future Trends for Health Social Networks., , and . EUSPN/ICTH, volume 141 of Procedia Computer Science, page 396-404. Elsevier, (2018)Understanding Mobile Technology Post-Adoption Behaviour: Impact upon Knowledge Creation and Individual Performance., , and . ICMB, page 275-282. IEEE, (2011)MHealth and perceived quality of care delivery: a conceptual model and validation., , and . BMC Medical Informatics Decis. Mak., 20 (1): 41 (2020)Citizen participation in decision-making: can one make a difference?, , , , , and . J. Decis. Syst., 25 (Supplement): 248-260 (2016)A mobile health technology intervention for addressing the critical public health issue of child mortality., , , , , and . Electron. J. Inf. Syst. Dev. Ctries., 84 (1): 12011 (2018)Comprehension, Perception, and Projection: The Role of Situation Awareness in User Decision Autonomy When Providing eConsent., , , and . J. Organ. End User Comput., 33 (6): 1-31 (2021)Developing eXtensible mHealth Solutions for Low Resource Settings., , , , and . MIKE, volume 8891 of Lecture Notes in Computer Science, page 361-371. Springer, (2014)Randomised controlled Trials as a method of Evaluating Mobile Health Interventions., , and . ECIS, (2017)Examining Contextual Factors and Individual Value Dimensions of Healthcare Providers Intention to Adopt Electronic Health Technologies in Developing Countries., , and . TDIT, volume 429 of IFIP Advances in Information and Communication Technology, page 345-354. Springer, (2014)