Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review

Simple item page
dc.contributor.authorJacob, C., Sanchez-Vazquez, A., & Ivory, C.
dc.date.accessioned2020-04-24T15:34:59Z
dc.date.available2020-04-24T15:34:59Z
dc.date.issued2020
dc.description.abstractThere is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care 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 was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians’ adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives. Methods A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the 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. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane handbook were followed to ensure a systematic process. Results The technological factors impacting clinicians’ adoption of mHealth tools were categorized into eight key themes: usefulness, ease of use, design, compatibility, technical issues, content, personalization, and convenience, which were in turn divided into 14 subthemes altogether. Social and organizational factors were much more prevalent and were categorized into eight 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 divided into 41 subthemes, 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 policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.en_US
dc.identifier.citationJacob, C., Sanchez-Vazquez, A., & Ivory, C. (2020). Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review. JMIR mHealth and uHealth, 8(2), e15935.en_US
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059085/?report=classic
dc.identifier.urihttp://hdl.handle.net/11212/4715
dc.language.isoenen_US
dc.publisherJMIR mHealth and uHealthen_US
dc.subjecttelemedicineen_US
dc.subjecttelehealthen_US
dc.subjectelectronic health recorden_US
dc.subjectpublic health practiceen_US
dc.subjecttechnologyen_US
dc.subjectperceptionsen_US
dc.subjecthealth educationen_US
dc.subjectInternational Resources
dc.subjectUnited Kingdom
dc.subjectSwitzerland
dc.titleSocial, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Reviewen_US
dc.typeArticleen_US

Files

Collections

CALiO Collection of Resources