The Effects of Culture of Adoption of Telemedicine in Medically Underserved Communities

Patients’ Acceptance of Telemedicine Technology: The Influence of User Behavior and Socio-Cultural Dimensions

“…This study also revealed the significant influence of culture (β= 0.421, P = 0.001) on individuals' intentions to use telemedicine. The result was consistent with the observations made in a recent report by Nwabueze et al [29], asserting that culture played a substantial role in shaping individuals' intentions to adopt new technology, particularly before becoming accustomed. In the Indonesian context, one effective method of introducing new technologies comprised promotion through the Internet and social media channels [48].…”

“…Nwabueze et al reported that cultural influences on users influenced the adoption of telemedicine. However, cultural factors influence behavioral intention only for prospective users and not for actual users [29]. Culture in this study is defined as individuals' habits in consulting doctors and considered to be closely related to user resistance towards new technology, such as telemedicine.…”

A Review on the Impact of Information Culture on the Adoption of Health Information System in Developing Countries

“…(Hart, 2003) (1) Perceived usefulness, (2) Technology self-efficacy, (3) Perceived ease-of -use, (4) Perceived behavioral control, (5) Health literacy and (6) Health Status. (Callen et al, 2008) (1) Organizational context , (2) Clinical unit context and (3) Individual context (Yu et al, 2009) (1) Perceived usefulness, (2) Perceived ease of use, (3) Social influences, (4) Demographic variables (age, job level, work experience, computer skills) (Nwabueze et al, 2009) (1) Voluntariness, (2) Age, (3) Gender, (4) Experience, (5) Performance expectancy, (6) Effort expectancy, (7) Facilitating conditions, (8) Social influence, (9) Behaviors intention , (10) Usage behavior and (11) Access (Ludwick and Doucette, 2009) (1) Privacy, (2) Patient safety, (3) Quality of care, (4) Efficiency, (5) Risks of liability and (6) Data security. (Or and Karsh, 2009) (1) Patient (age, gender), (2) Human-technology interaction ( perceived usefulness and perceived ease of use) , (3) Organization and environment and (4) Task (compatibility) (Pai and Huang, 2011) (1) Information quality, (2) Service quality, (3) System quality, (4) Perceived usefulness, (5) Perceived ease of use and (6) Intention to use (Kijsanayotin et al, 2009) (1) Performance expectancy, (2) Effort expectancy, (3) Social influence, (4) Intention to use, (5) Voluntariness, (6) IT knowledge, (7) Experience and (8) IT use (Maria, 2011) (1) Structure of healthcare organizations; (2) Tasks; (3) People policies; (4) Incentives; and (5) Information and decision processes (Rahimi, 2008) (1) Management involvement, (2) Integration with healthcare workflow, (3) Establishing compatibility between software and hardware and (4) User involvement (Melas et al, 2011) (1) ICT knowledge and ICT feature demands, (2) Physician specialty, (3) Perceived usefulness, (4) Perceived ease of use, (5) Attitudes toward use and (6) Behavioral Intention to use (Schaper and Pervan, 2007) (1) Performance expectancy, (2) Effort expectancy, (3) Subjective norm, (5) Facilitating conditions and (6) Self-efficacy (Tian, 2012) (1) Relative advantage, (2) Compatibility; (3) Complexity, (4) Trialability and (5) Observability (Yusof et al, 2008) (1) System usefulness, (2) Response time, (3) Technical support, (4) Empathy of service quality, (5) User perception and user skills, (6) Information relevancy, (7) User attitude, (8) Leadership, (9) Medical sponsorship, (10) Organizational readiness, (11) Clinical process and (12) External communication with the inter-organizational system (Young, 1984) (1) Nature of the doctor's work, (2) Attitudes, (3) Interests and (4) Enthusiasms (Zhivan and Diana, 2012) (1) Hospital characteristics(hospital cost inefficiency) and 2-environmental factors (Venkatesh et al, 2011) (1) Voluntariness, (2) Age, (3) Gender, (4) Experience, (5) Performance expectancy, (6) Effort expectancy, (7...…”