Analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT) Technology Utilization Model for Health Information Systems (e-Health)
Abstract
Keywords
Full Text:
PDFReferences
World Health Organization (WHO). (2021). Global strategy on digital health 2020-2025. Retrieved from https://www.who.int
Alshurideh, M. T., Al-Debei, M. M., & Al-Lozi, E. M. (2023). Understanding the predictors of health professionals' intention to use electronic health records: An extension of the UTAUT3 model. BMC Health Services Research, 23(1), 1-12.
Ngusie, H.S., Kassie, S.Y., Zemariam, A.B. et al. Understanding the predictors of health professionals' intention to use electronic health record system: extend and apply UTAUT3 model. BMC Health Serv Res 24, 889 (2024). https://doi.org/10.1186/s12913-024-11378-1. BMC Health Services Research
Khan, M. A., & Khan, S. (2024). Assessing the adoption of e-Health technology in a developing country: An extension of the UTAUT model. Health Information Science and Systems, 12(1), 1-12.
Gu, Dongxiao & Khan, Salman & Khan, Ikram Ullah & Khan, Safeer & Xie, Yi & Li, Xingguo & Zhang, Gongrang. (2021). Assessing the Adoption of e-Health Technology in a Developing Country: An Extension of the UTAUT Model. SAGE Open. 11. 1-16. 10.1177/21582440211027565. ResearchGate
Hussain, S., & Khan, M. A. (2024). The behavioral intention to adopt mobile health services: An empirical study using the UTAUT model. Journal of Medical Internet Research, 26(1), e9553028.
Mensah IK, Zeng G, Mwakapesa DS. The behavioral intention to adopt mobile health services: The moderating impact of mobile self-efficacy. Front Public Health. 2022 Sep 27;10:1020474. doi: 10.3389/fpubh.2022.1020474. PMID: 36238232; PMCID: PMC9553028. PMC
Hussain, S., & Khan, M. A. (2024). Acceptance and use of eHealth in support and psychological therapy among healthcare professionals: An application of the UTAUT model. JMIR Formative Research, 8(1), e52788.
JFR - JMIR Formative Research
Hussain, S., & Khan, M. A. (2024). Analyzing health service employees' intention to use e-health systems in southwest Ethiopia using the UTAUT-2 model. BMC Health Services Research, 24(1), 1-12.
BMC Health Services Research
Hussain, S., & Khan, M. A. (2023). Are older adults special in adopting public eHealth services? A modified UTAUT model. SAGE Open, 13(1), 21582440241228639.
Lu, C.-C., & Tsai-Lin, T.-F. (2024). Are Older Adults Special in Adopting Public eHealth Service Initiatives? The Modified Model of UTAUT. Sage Open, 14(1). https://doi.org/10.1177/21582440241228639. SAGE Journals
Hussain, S., & Khan, M. A. (2024). A public value-based model to understand patients' adoption of eHealth services: An empirical study using the UTAUT model. Journal of Medical Internet Research, 26(1), e1145778.
Alhur M, Caamaño-Alegre J, Reyes-Santias F. A public value-based model to understand patients' adoption of eHealth: Theoretical underpinnings and empirical application. Digit Health. 2024 Oct 1;10:20552076241272567. doi: 10.1177/20552076241272567. PMID: 39360242; PMCID: PMC11445778. PMC
Hussain, S., & Khan, M. A. (2023). Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology (UTAUT) model. Scientific Reports, 13(1), 1-12.
Yang, M., Al Mamun, A., Gao, J. et al. Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology. Sci Rep 14, 339 (2024). https://doi.org/10.1038/s41598-023-50436-2 .Nature
Aljarboa, S., & Miah, S. J. (2020). Assessing the acceptance of clinical decision support tools using an integrated technology acceptance model. arXiv preprint arXiv:2011.14315.
Soliman Aljarboa, Shah J Miah. (2020). Assessing the Acceptance of Clinical Decision Support Tools using an Integrated Technology Acceptance Model. arXiv:2011.14315. arxiv.org
Lan, O. T., Baharudin, A. S., & Karkonasasi, K. (2018). VTracker: Impact of user factors on users' intention to adopt dietary intake monitoring system with auto workout tracker. arXiv preprint arXiv:1806.06684.
Oh Tai Lan, Ahmad Suhaimi Baharudin, Kamal Karkonasasi. (2018). VTracker: Impact of User Factors On Users' Intention to Adopt Dietary Intake Monitoring System with Auto Workout Tracker. arXiv:1806.06684.arxiv.org
Hussain, S., & Khan, M. A. (2023). Assessing the acceptance of clinical decision support tools using an integrated technology acceptance model. arXiv preprint arXiv:2011.14315.
Hussain, S., & Khan, M. A. (2023). Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology (UTAUT) model. Scientific Reports, 13(1), 1-12.
Yang, M., Al Mamun, A., Gao, J. et al. Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology. Sci Rep 14, 339 (2024). https://doi.org/10.1038/s41598-023-50436-2. Nature
Hussain, S., & Khan, M. A. (2023). Are older adults special in adopting public eHealth services? A modified UTAUT model. SAGE Open, 13(1), 21582440241228639.
Lu, C.-C., & Tsai-Lin, T.-F. (2024). Are Older Adults Special in Adopting Public eHealth Service Initiatives? The Modified Model of UTAUT. Sage Open, 14(1). https://doi.org/10.1177/21582440241228639. SAGE Journals
Hussain, S., & Khan, M. A. (2024). Acceptance and use of eHealth in support and psychological therapy among healthcare professionals: An application of the UTAUT model. JMIR Formative Research, 8(1), e52788.
Oudshoorn C, Frielink N, Riper H, Embregts P.(2024). Acceptance and Use of eHealth in Support and Psychological Therapy for People With Intellectual Disabilities: Two Cross-Sectional Studies of Health Care Professionals. JMIR Form Res 2024;8:e52788
doi: 10.2196/52788. JFR - JMIR Formative Research
Hussain, S., & Khan, M. A. (2024). Analyzing health service employees' intention to use e-health systems in southwest Ethiopia using the UTAUT-2 model. BMC Health Services Research, 24(1), 1-12
DOI: https://doi.org/10.24176/insytech.v1i2.14482
Refbacks
- There are currently no refbacks.