title: Predicting nurses' use of healthcare technology using the technology acceptance model: an integrative review.
abstract: The benefits of healthcare technologies can only be attained if nurses accept and intend to fully use them. One of the most common models utilized to understand user acceptance of technology is the Technology Acceptance Model. This model and modified versions of it have only recently been applied in the healthcare literature among nurse participants. An integrative literature review was conducted on this topic. Ovid/MEDLINE, PubMed, Google Scholar, and CINAHL were searched yielding a total of 982 references. Upon eliminating duplicates and applying the inclusion and exclusion criteria, the review included a total of four dissertations, three symposium proceedings, and 13 peer-reviewed journal articles. These documents were appraised and reviewed. The results show that a modified Technology Acceptance Model with added variables could provide a better explanation of nurses' acceptance of healthcare technology. These added variables to modified versions of the Technology Acceptance Model are discussed, and the studies' methodologies are critiqued. Limitations of the studies included in the integrative review are also examined.
authors.affiliation: Author Affiliation: Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Ontario, Canada.
authors.forename: Gillian
authors.initials: G
authors.lastname: Strudwick
mesh_terms: D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D020811:Biomedical Technology; D003199:Computer Systems / Q000706:statistics & numerical data; D006801:Humans; D008962:Models, Theoretical; D009726:Nurses / Q000523:psychology*; D048108:Nursing Informatics; D061214:Patient Safety