Table 1.
Adoption theory | Adoption of technologya | Constructs/factorsb | Method | Data | Location [reference] |
TAMc with trust and perceived risks | mHealthd | Perceived usefulness, perceived ease of use, perceived risk, performance risk, legal concerns, and trust | SEMe | 388 patients in large hospitals | China [12] |
TAM and UTAUTf | Medical dashboard system | Performance expectancy, effort expectancy, social influence, and facilitating conditions | SEM | 383 physicians and nurses in a tertiary teaching hospital | Korea [14] |
TAM and UTAUT | Mobile electronic medical record | Performance expectancy, effort expectancy, attitude, social influence, facilitating conditions, and behavior intention to use | SEM | 449 subjects (65 physicians and 385 nurses) in a large tertiary hospital | Korea [15] |
UTAUT 2 | mHealth | Performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, waiting time, and self-concept | Factor analysis and path analysis | A total of 3 surveys with 387, 359, and 375 patients who were offered mHealth as an alternative to traditional hospital services | United States, Canada, and Bangladesh [16] |
Task-technology fit and social contagion theory | EHRg | Authorization, compatibility, data quality, ease of use, information systems relationship, timeliness, locatability, system reliability, and social contagion | SEM | Survey with 51 university students with working experience in the health care sector and used EHR systems in the past | United States [17] |
UTAUT | Home health care robots | Performance expectancy, effort expectancy, social influence, facilitating conditions, trust, privacy concerns, ethical concerns, and legal concerns | SEM and power analysis | 108 health care professionals and patients working for home health care agencies | United States [18] |
Social capital theory, social cognitive theory and TAM | Telehealth | Perceived ease of use, perceived usefulness, system self-efficacy, social participation, institutional trust, and social trust | SEM | 365 patients who used a telehealth system for at least one month | Taiwan [19] |
TPBh | mHealth service | Perceived value, attitude, perceived behavior control, subjective norm, perceived physical condition, resistance to change, technology anxiety, and self-actualization need | SEM | 424 middle-aged and older people accessing community service centers | China [20] |
UTAUT | HITi | Performance expectancy, effort expectancy, social influence, facilitating conditions, and provincial areas | SEM | 400 health care professionals working in hospital | Thailand [21] |
No specific theory | mHealth usage intention, assimilation, and channel preferences | Individual difference, health care availability and health care utilization, and socioeconomic status and demographics | Hierarchical ordinary least squares | 1132 consumers | United States [22] |
Decomposed TPB and value-attitude-behavior | MEDLINE system | Perceived usefulness, perceived ease of use, attitude, interpersonal influence, subjective norm, personal innovativeness in ITj, self-efficacy, facilitating conditions, perceived behavioral control, and usage intention | SEM | 224 physicians in primary care centers and hospitals | Taiwan [23] |
TAM and TPB | Mobile health care | Attitude, perceived behavioral control, subjective norm, perceived usefulness, perceived ease of use, personal innovativeness, and perceived service availability | SEM | 140 health care professionals working in hospitals | Taiwan [24] |
UTAUT | HIT | Performance expectancy, effort expectancy, social influence, voluntariness, facilitating conditions, experience, and IT knowledge | SEM | Information management officers or head officers from 1323 community health centers | Thailand [25] |
TAM and innovation diffusion theory | Electronic logistics information system | Compatibility, perceived usefulness, perceived ease of use, trust, perceived financial cost, and behavioral intention | SEM | Nurses working in 10 hospitals who used electronic logistics information system | Taiwan [26] |
TAM | Telemedicine | Perceived usefulness and perceived ease of use | SEM | 408 physicians working in tertiary hospitals | Hong Kong [27] |
aDependent variable.
bIndependent variables.
cTAM: technology acceptance model.
dmHealth: mobile health.
eSEM: structural equation modelling.
fUTAUT: unified theory of acceptance and use of technology.
gEHR: electronic health record.
hTPB: theory of planned behavior.
iHIT: health information technology.
jIT: information technology.