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. 2022 Oct 15;19(20):13311. doi: 10.3390/ijerph192013311

Table 1.

Literature review on healthcare workers’ adoption intention.

Authors Context Theoretical Basis Region Key Findings
Alsyouf et al. (2022) [23] Nurses’ continuance intention of EHR UTAUT, ECT, FFM Jordan Performance expectancy as a mediating variable on the relationships between the different personality dimensions and continuance intention, specifically conscientiousness as a moderator.
Pikkemaat et al. (2021) [24] Physicians’ adoption intention of telemedicine TPB Sweden Attitudes and perceived behavioral control being significant predictors for physicians to use telemedicine.
Hossain et al. (2019) [25] Physicians’ adoption intention of EHR Extended UTAUT Bangladesh Social influence, facilitating conditions, and personal innovativeness in information technology had a significant influence on physicians’ adoption intention to adopt the EHR system.
Alsyouf and Ishak (2018) [26] Nurses’ continuance intention to use EHR UTAUT and TMS Jordan Effort expectancy, performance expectancy, and facilitating conditions positively influence nurses’ continuance intention to use and top management support as significant and negatively related to nurses’ continuance adoption intention.
Fan et al. (2018) [27] Healthcare workers’ adoption intention of AIMDSS UTAUT, TTF, trust theory China Initial trust mediates the relationship between UTAUT factors and behavioral intentions.
Bawack and Kamdjoug (2018) [28] Clinicians’ adoption intention of HIS Extended UTAUT Cameroon Performance expectancy, effort expectancy, social influence, and facilitating conditions have a positive direct effect on clinicians’ adoption intention of HIS.
Adenuga et al. (2017) [29] Clinicians’ adoption intention of telemedicine UTAUT Nigeria Performance expectancy, effort expectancy, facilitating condition, and reinforcement factor have significant effects on clinicians’ adoption intention of telemedicine.
Liu and Cheng (2015) [30] Physicians’ adoption intention of MEMR The dual-factor model Taiwan Physicians’ intention to use MEMRs is significantly and directly related to perceived ease of use and perceived usefulness, but perceived threat has a negative influence on physicians’ adoption intention.
Hsieh (2015) [31] Healthcare professionals’ adoption intention of health clouds TPB and Status quo bias theory Taiwan Attitude, subjective norm, and perceived behavior control are shown to have positive and direct effects on healthcare professionals’ intention to use the health cloud.
Wu et al. (2011) [32] Healthcare professionals’ adoption intention of mobile healthcare TAM and TPB Taiwan Perceived usefulness, attitude, perceived behavioral control, and subjective norm have a positive effect on healthcare professionals’ adoption intention of mobile healthcare.
Egea and González (2011) [33] Physicians’ acceptance of EHCR Extended TAM Southern Spain Trust fully mediated the influences of perceived risk and information integrity perceptions on physicians’ acceptance of EHCR systems.

Note: EHR, electronic health record; AIMDSS, medical diagnosis support system; HIS, health information system; MEMR, mobile electronic medical records; EHCR, electronic health care records. UTAUT, unified theory of acceptance and use of technology; ECT, the theory of expectation confirmation; FFM, five-factor model; TPB, theory of planned behavior; TMS, top management support; TTF, task technology fit; TAM, technology-acceptance model.