A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies

Abstract This study was conducted to synthesize existing studies on user acceptance of consumer-oriented health information technologies (CHITs) through a systematic review and meta-analysis. We searched four electronic databases in August 2018 for studies that empirically examined user acceptance of CHITs based on theoretical frameworks of Technology Acceptance Model (TAM). Meta-analysis was used to estimate effect sizes of pairwise relationships among TAM constructs, while subgroup analysis was performed to investigate potential factors that may moderate TAM relationships. Sixty-seven studies were identified and included for analysis. The results show that TAM was a robust model in examining user acceptance of CHITs. The results also identified a number of significant relationships between several antecedents (self-efficacy, subjective norm, trust, perceived behavioral control and facilitating conditions) and the core TAM constructs. In addition, many of the relationships could be moderated by study characteristics such as country of origin, type of user and type of technology. The findings demonstrated that TAM represents a good ground theory for examining factors that influence consumer acceptance of CHITs. Further efforts can be dedicated to contextualize the use of TAM theories in CHIT domain and to further examine factors that are able to moderate the model relationships.