과제정보
This research is funded by National Economics University, Hanoi, Vietnam
참고문헌
- Abdullah, M. Y., Almazayen, F. M., Hwaifr, M. H., Alkhatir, W. S., Albar, A. M., Abdullah, N. A., Almodrhim, F. F., Akmalov, S., Alqurayn, M. N., Al Muzarra, Q. I., & Alatawi, W. H. (2023). Effect of COVID-19 on chronic care management in primary health settings. International Journal of Community Medicine and Public Health, 11(1), 516-520. https://doi.org/10.18203/2394-6040.ijcmph20233947
- AlQudah, A., Al-Emran, M., & Shaalan, K. (2021). Technology acceptance in healthcare: A systematic review. Applied Sciences, 11(22), 10537. https://doi.org/10.3390/app112210537
- Andriopoulou, F., Birkos, K., Mantas, J., & Lymberopoulos, D. (2018). Software-defined networking for ubiquitous healthcare service delivery. Advances in Experimental Medicine and Biology, 12(2), 95-104. https://doi.org/10.1007/978-3-030-05195-2_10
- Bailey, J. E., Gurgol, C., Pan, E., Njie, S., Emmett, S., Gatwood, J., Gauthier, L., Rosas, L. G., Kearney, S. M., Robler, S. K., Lawrence, R. H., Margolis, K. L., Osunkwo, I., Wilfley, D., & Shah, V. O. (2021). Early patient-centered outcomes research experience with the use of telehealth to address disparities: Scoping review. Journal of Medical Internet Research, 23(12), e28503. https://doi.org/10.2196/28503
- Bond, A. (2023). Margin notes from the covid-19 pandemic for the future of healthcare innovation. Healthcare Management Forum, 36(6), 393-398. https://doi.org/10.1177/08404704231185487
- Bustamante, A. V., Martinez, L. E., Jalal, S., Benitez Santos, N., Felix Beltran, L., Rich, J., & Anaya, Y. B.-M. (2023). Racial and ethnic disparities in telehealth use before and after California's stay-at-home order. Frontiersin Public Health, 11, 1222203. https://doi.org/10.3389/fpubh.2023.1222203
- Catapan S de C., Haydon H. M., Hickman I.J., et al . (2023). Trust and confidence in using telehealth in people with chronic kidney disease: A cross-sectional study. Journal of Telemedicine and Telecare, 29(10), 16S-23S. https://doi.org/10.1177/1357633x231202275
- Chen, N., Liu, P., & Lv, P. (2022). Assessing elderly user preference for telehealth solutions in China: Exploratory quantitative study. JMIR mHealth and uHealth, 10(1), e27272. https://doi.org/10.2196/27272
- Dhaliwal, J., Hall, T., Larue, J., Maynard, S., Pierre, P., & Bransby, K. (2021). Expansion of telehealth in primary care during the COVID-19 pandemic: Benefits and barriers. Journal of the American Association of Nurse Practitioners, 34(2), 224-229. https://doi.org/10.1097/jxx.0000000000000626
- Duffy, L., Evans, R., Bennett, V., Hady, J., & Palaniappan, P. (2023). Therapeutic relational connection in telehealth: Concept analysis. Journal of Medical Internet Research, 25, e43303. https://doi.org/10.2196/43303
- Filbay, S., Bennell, K., Morello, R., Smith, L., Hinman, R., & Lawford, B. (2022). Exploring experiences with telehealth-delivered allied healthcare services for people with permanent and significant disabilities funded through a national insurance scheme: A qualitative study. BMJ Open, 12(9), e065600. https://doi.org/10.1136/bmjopen-2022-065600
- Gately, M., Quach, E., Shirk, S., & Trudeau, S. (2022). Understanding variation in adoption of video telehealth and implications for health care systems. Medical Research Archives, 10(5). https://doi.org/10.18103/mra.v10i5.2751
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2021). Multivariate data analysis (8th ed.). Cengage Learning.
- Harris, M., & Rogers, W. (2021). Developing a healthcare technology acceptance model (H-TAM) for older adults with hypertension. Ageing and Society, 43(4), 814-834. https://doi.org/10.1017/s0144686x21001069
- Jiang, Y., Sun, P., Chen, Z., Guo, J., Wang, S., Liu, F., & Li, J. (2022). Patients' and healthcare providers' perceptions and experiences of telehealth use in chronic disease management: A qualitative study. BMC Geriatrics, 22(1), 1-14. https://doi.org/10.1186/s12877-021-02702-z
- Jungwirth, D., & Haluza, D. (2017). Information and communication technology and the future of healthcare: Results of a multi-scenario Delphi survey. Health Informatics Journal, 25(1), 161-173. https://doi.org/10.1177/1460458217704256
- Leonard, C., Liu, W., Holstein, A., Alliance, S., Nunnery, M., Rohs, C., & Winchester, D. (2023). Informing use of telehealth for managing chronic conditions: Mixed-methods evaluation of Telehealth Use to Manage Heart Failure During COVID-19. Journal of the American Heart Association, 12(4), e027362. https://doi.org/10.1161/jaha.122.027362
- Liu, W., Xia, Y., & Hou, J. (2019). Health expenditure efficiency in rural China using the super-SBM model and the Malmquist productivity index. International Journal for Equity in Health, 18(1), 1-12. https://doi.org/10.1186/s12939-019-1003-5
- Martin, R., Mandrusiak, A., Lang, R., Forbes, R., & Russell, T. (2022). A telehealth curriculum: A pre-post study of physiotherapy students' perceived knowledge. Focus on Health Professional Education, 23(3), 56-72. https://doi.org/10.11157/fohpe.v23i3.595
- Milosevic, Z. (2020). Enacting policies in digital health: A case for smart legal contracts and distributed ledgers? The Knowledge Engineering Review, 35, e4. https://doi.org/10.1017/s0269888920000089
- Muller, S., Wehner, D., Konzag, H., Vesterby, M., & Hoybye, M. (2021). The paradox of project success despite lack of the "my pathway" telehealth platform usage. Journal of Health Informatics, 27(1), 1-12. https://doi.org/10.1177/1460458220976734
- Orrange, S., Patel, A., Mack, W., & Cassetta, J. (2021). Patient satisfaction and trust in telemedicine during the COVID-19 pandemic: Retrospective observational study. JMIR Human Factors, 8(2), e28589. https://doi.org/10.2196/28589
- Papalamprakopoulou, Z., Ntagianta, E., Triantafyllou, V., & others. (2024). Telehealth to increase healthcare access: Perspectives of people who use drugs. Research Square. https://doi.org/10.21203/rs.3.rs-4518090/v1
- Qi, X., Mei, G., Cuomo, S., & Xiao, L. (2020). A network-based method with privacy-preserving for identifying influential providers in large healthcare service systems. Future Generation Computer Systems, 109, 293-305. https://doi.org/10.1016/j.future.2020.04.004
- Schretzlmaier, P., & Hecker, A. (2022). Extension of the unified theory of acceptance and use of technology 2 model for predicting mHealth acceptance using diabetes as an example: A cross-sectional validation study. BMJ Health & Care Informatics, 29(1), e100640. https://doi.org/10.1136/bmjhci-2022-100640
- Sun, M., Ye, Y., Zhang, G., Shang, X., & Yang, X. (2023). Healthcare services efficiency and its intrinsic drivers in China: Based on the three-stage super-efficiency SBM model. BMC Health Services Research, 23(1), 1-15. https://doi.org/10.1186/s12913-023-09820-x
- Takahashi, E., Schwamm, L., Adeoye, O., Alabi, O., Jahangir, E., Misra, S., & Still, C. (2022). An overview of telehealth in the management of cardiovascular disease: A scientific statement from the American Heart Association. Circulation, 146(25), e472-e486. https://doi.org/10.1161/cir.0000000000001107
- Thompson, T. L., Robinson, J. D., & Brashers, D. E. (2022). Interpersonal communication and health care (2nd ed.). Oxford University Press.
- Truong, M., Yeganeh, L., Cook, O., Wong, P., & Allen, J. (2022). Using telehealth consultations for healthcare provision to patients from non-indigenous racial/ethnic minorities: A systematic review. Journal of the American Medical Informatics Association, 29(5), 970-982. https://doi.org/10.1093/jamia/ocac015
- Wei, X., Xie, H., Peng, X., & Prybutok, V. (2020). An investigation of the consumer's trusting mechanism in emerging healthcare technology. Industrial Management & Data Systems, 121(2), 290-311. https://doi.org/10.1108/imds-06-2020-0321
- Wiest, I. C., Sicorello, M., Yesmembetov, K., Ebert, M. P., & Teufel, A. (2024). Usage behaviour and adoption criteria for mobile health solutions in patients with chronic diseases in gastroenterology. Visceral Medicine, 40(2), 61-74. https://doi.org/10.1159/000534191
- Williams, H., Steinberg, S., Vingum, R., Leon, K., Cespedes, E., Berzin, R., & Hagg, H. (2023). Parsley health: Feasibility and acceptability of a large-scale holistic telehealth program for chronic disease care. Frontiers in Digital Health, 5, Article 1008574. https://doi.org/10.3389/fdgth.2023.1008574
- Zhu, L., Jiang, X., & Cao, J. (2023). Factors affecting continuance intention in non-face-to-face telemedicine services: Trust typology and privacy concern perspectives. Healthcare, 11(3), 374. https://doi.org/10.3390/healthcare11030374