The adoption of e-healthcare services is critical for improving healthcare accessibility and efficiency, particularly in regions with diverse populations, such as Malaysia. Although e-healthcare services offer numerous advantages, their adoption is considerably low and requires a thorough understanding of the key factors that influence their use. This study investigated the determinants and dynamics of e-healthcare adoption among adults over 40 years by extending the unified theory of acceptance and use of technology. We employed a quantitative research approach, specifically a cross-sectional design. Data were collected from 393 Malaysian respondents through a structured survey questionnaire, using convenience sampling. They were analyzed using partial least-squares-structural equation modeling. The findings revealed that performance expectancy, effort expectancy, social influence, and perceived product value significantly influenced individuals' intentions to use e-healthcare services. Meanwhile, perceived risk had an insignificant negative effect. Facilitating conditions significantly influenced individuals' intentions and actual usage of e-healthcare services. Furthermore, individuals' intentions to use e-healthcare services significantly affected their actual use of these services. Additionally, the intention to use e-healthcare services mediated the relationship between the factors and usage of e-healthcare services, except for perceived risk. Surprisingly, perceived service accuracy had no significant moderating effect on the relationship between individuals' intention to use and their actual use of e-healthcare services. This study offers valuable insights for educators, practitioners, and policymakers, enriching the scholarly discourse in this field. For education, integrating e-healthcare topics into curricula can enhance digital health literacy. In practice, healthcare providers should focus on improving user experience and addressing barriers to technology adoption. For policy making, developing supportive policies, and infrastructure to facilitate e-healthcare adoption is crucial to enhancing public health outcomes.
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http://dx.doi.org/10.1177/20552076241272577 | DOI Listing |
Sensors (Basel)
October 2024
The School of International Education, Wuhan University of Technology, Wuhan 430062, China.
According to the current situation of deep aging globally, how to provide low-cost and high-quality medical services has become a problem that the whole society needs to consider. To address these challenges, we propose an e-healthcare management system leveraging the integration of the Internet of Things (IoT) and blockchain technologies. Our system aims to provide comprehensive, reliable, and secure one-stop services for patients.
View Article and Find Full Text PDFGeriatr Nurs
December 2024
School of Nursing, Jilin University, 965 Xinjiang Street, Chaoyang District, Changchun 130012, China. Electronic address:
This cross-sectional study aimed to investigate the multi-dimensional factors associated with adequate social participation among stroke survivors based on the social ecological model, and to identify the gender and living place differences. A total of 470 stroke survivors were recruited through convenience sampling method in two northern tertiary hospitals in China. Stepwise multiple logistic regression models showed that multi-dimensional factors (except for political factors) accounted for 10.
View Article and Find Full Text PDFJ Multidiscip Healthc
November 2024
Department of Emergency Medical Services, Prince Sultan bin Abdulaziz College for Emergency Medical Services, King Saud University, Riyadh, 11541, Saudi Arabia.
Cureus
September 2024
Community Medicine, SRM Medical College Hospital and Research Centre, SRM Institute of Science and Technology, Chengalpattu, IND.
Background: Artificial intelligence (AI) has the potential to transform healthcare practices, but the successful adoption of AI depends on the perception and acceptance of healthcare professionals. This study aimed to assess the understanding of AI concepts, recognize the attitude toward AI integration, and identify the barriers to AI adoption among healthcare professionals in a tertiary care hospital.
Methods: A cross-sectional study was conducted among 200 healthcare professionals, including doctors, nurses, and paramedics, in a tertiary care teaching hospital in Chengalpattu district, India.
Digit Health
September 2024
Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia.
The adoption of e-healthcare services is critical for improving healthcare accessibility and efficiency, particularly in regions with diverse populations, such as Malaysia. Although e-healthcare services offer numerous advantages, their adoption is considerably low and requires a thorough understanding of the key factors that influence their use. This study investigated the determinants and dynamics of e-healthcare adoption among adults over 40 years by extending the unified theory of acceptance and use of technology.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!