osoz w o r l d
Mobile health tools will not scale if other adoption factors are neglected While some of the factors impacting patients’ adoption of mHealth tools may be hard to influence – e.g. intrinsic motivation or a person’s locus of control – others can be shifted to facilitate adoption and harness the potential benefits of these novel technologies.
A study “Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis”, published in JMIR mHealth and uHealth, investigated the literature to understand the factors affecting patients’ adoption of mHealth tools from technical, social, and health perspectives.
Summary: • Mobile health tools have emerged as a promising health care technology that may contribute to cost savings, better access to care, and enhanced clinical outcomes; however, it is essential to ensure their acceptance and adoption to harness this potential. Patient adoption has been recognized as a key challenge that requires further exploration. • The study analyzed 147 peer-reviewed articles published over the last ten years to identify potential factors impacting patient adoption of mHealth tools and their implications for healthcare practices. • Technical factors such as the tool’s usefulness, ease of use, data privacy, cost, technical issues, and user experience are key for adoption.
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• However, social and personal factors such as a patient’s demographics, personal characteristics, and social and cultural aspects were even more prominent. • Health-related factors – the specific nature of the disease or health condition that the patient is suffering from, health consciousness and literacy, health behavior, relation to other therapies, integration into patient journey, the patients’ insurance status, and the care team’s role – also had a clear impact on patients’ decision to adopt a mHealth tool. • The findings suggest that technology providers alone are not likely to achieve success by focusing on creating technically superior tools; social, health care, and policy-related factors must be considered, underlining the central role of care teams and health care policy in promoting adoption.
Combating the digital divide with truly inclusive design and overall fit into the patient journey The study showed that many demographic factors are typically not the root cause for the lack of adoption per se, but rather other underlying causes were at play, pointing back to a lack of skills and literacy that were typically correlated to older patients, those with a lower level of education, or those belonging to lower socioeconomic classes. Designing for inclusivity takes into account the unique features, environments, and cultural contexts of users, implying that many aspects of the digital divide may be addressed through an inclusive design that incorporates cultural appropriateness, easy-to-understand lay language that does not need high literacy levels, and
