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Table 1 eHealth adoption models

From: Electronic Health Record Portal Adoption: a cross country analysis

Theory Dependent variable Findings Reference
integrated model (IM), motivational model (MM),
eHealth behavioural intention ▪ Users’ perceived technology usefulness (PU), users’ perceived ease of use (PEOU), intrinsic motivation (IM), and extrinsic motivation (MM) have significant positive influence on behavioural intention. [34]
▪ IM does not have a better performance than TAM or than MM when predicting behavioural intention.
Elaboration likelihood model (ELM), concern for information privacy (CFIP) EHR behavioural intention ▪ Privacy concern (CFIP) is negatively associated with likelihood of adoption. [5]
▪ Positively framed arguments and issue involvement create more favourable attitudes toward EHR behavioural intention.
TAM (qualitative research) eHealth services behavioural intention ▪ PU seemed to be relevant. [37]
▪ PEOU did not seem to be an issue.
▪ Although experience is not a TAM construct, it seemed to have influenced behavioural intention.
TAM, plus several other constructs Internet use behaviour as a source of information ▪ PU, concern for personal health, importance given to written media in searches for health information, importance given to the opinions of physicians and other health professionals, and the trust placed in the information available are the major predictors of use behaviour. [38]
Personal empowerment Internet use behaviour as a source of information ▪ There are three types of attitudes encouraging internet use to seek health information: consumer, professional, and community logic. [39]
Extended TAM in health information technology (HIT) HIT behavioural intention ▪ PEOU, PU, and perceived threat significantly influenced health consumer’s behavioural intention. [35]
UTAUT2 extended model Behavioural intention and use behaviour in EHR portals ▪ Effort expectancy, performance expectancy, habit, and self-perception are predictors of behavioural intention. [3]
▪ Habit and behavioural intention are predictors of use behaviour.
TAM, Trust and Privacy Intention to adopt e-Health ▪ PEOU, PU and trust are significant predictors. [12]