Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Aug 22, 2019
Open Peer Review Period: Aug 20, 2019 - Oct 15, 2019
Date Accepted: Dec 31, 2019
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: A Systematic Literature Review
ABSTRACT
Background:
There is a growing body of evidence highlighting the potential of Mobile Health in reducing healthcare costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential, hence, a deeper understanding of the factors impacting this adoption is crucial for its success.
Objective:
The aim of this review is to systematically explore relevant published literature in order to synthesize the current understanding of the factors impacting clinicians’ adoption of mHealth tools, not only from a technology perspective but also from social and organizational perspectives.
Methods:
A structured search was carried out of Medline PubMed, the Cochrane Library, and SAGE database for studies published between January 2008 and July 2018 in the English language; yielding 4993 results, of which 171 met the inclusion criteria.
Results:
The technological factors impacting clinicians’ adoption of mobile health were categorized into 8 key themes: Usefulness, Ease of use, Design, Compatibility, Technical issues, content, Personalization and convenience. These were in turn divided into 14 sub-themes altogether. Social and organizational factors were much more prevalent and were categorized into 8 key themes: Workflow related, Patient related, Policy and regulations, Culture or attitude or social influence, Monetary factors, Evidence base, Awareness, and User engagement. These were in turn divided into 41 sub-themes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them.
Conclusions:
The study results can help inform mHealth providers and policy makers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits. Clinical Trial: NA
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.