Acceptance of health information technology in health professionals: an application of the revised technology acceptance model.
The response of health professionals to the use of health information technology (HIT) is an important research topic that can partly explain the success or failure of any HIT application. The present study applied a modified version of the revised technology acceptance model (TAM) to assess the relevant beliefs and acceptance of HIT systems in a sample of health professionals (n = 133). Structured anonymous questionnaires were used and a cross-sectional design was employed. The main outcome measure was the intention to use HIT systems. ANOVA was employed to examine differences in TAM-related variables between nurses and medical doctors, and no significant differences were found. Multiple linear regression analysis was used to assess the predictors of HIT usage intentions. The findings showed that perceived ease of use, but not usefulness, relevance and subjective norms directly predicted HIT usage intentions. The present findings suggest that a modification of the original TAM approach is needed to better understand health professionals' support and endorsement of HIT. Perceived ease of use, relevance of HIT to the medical and nursing professions, as well as social influences, should be tapped by information campaigns aiming to enhance support for HIT in healthcare settings.
CITY College - An International Faculty of the University of Sheffield, Thessaloniki, Greece. ketikidis@city.academic.gr
Panayiotis
P
Ketikidis
Tomislav
T
Dimitrovski
Lambros
L
Lazuras
Peter A
PA
Bath
D000328:Adult; D001007:Anxiety / Q000523:psychology; D001292:Attitude to Computers; D016000:Cluster Analysis; D004059:Diffusion of Innovation; D005260:Female; D006801:Humans; D008297:Male; D008491:Medical Informatics Applications; D008875:Middle Aged; D008962:Models, Theoretical; D009726:Nurses / Q000523:psychology* / Q000706:statistics & numerical data; D010820:Physicians / Q000523:psychology* / Q000706:statistics & numerical data; D011594:Psychometrics; D018843:Republic of North Macedonia; D020377:Self Efficacy; D011795:Surveys and Questionnaires; D014584:User-Computer Interface