Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25960, first published .
Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study

Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study

Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study

Authors of this article:

Huanlin Wang1 Author Orcid Image ;   LanYu Liang1 Author Orcid Image ;   ChunLin Du1 Author Orcid Image ;   YongKang Wu1 Author Orcid Image

Journals

  1. Liu F, Liao H, Wu X, Al-Barakati A. Evaluating Internet hospitals by a linguistic Z-number-based gained and lost dominance score method considering different risk preferences of experts. Information Sciences 2023;630:647 View
  2. Jiang Y, Lau A. Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19. International Journal of Environmental Research and Public Health 2023;20(5):3907 View
  3. Larnyo E, Dai B, Larnyo A, Nutakor J, Ampon-Wireko S, Nkrumah E, Appiah R. Impact of Actual Use Behavior of Healthcare Wearable Devices on Quality of Life: A Cross-Sectional Survey of People with Dementia and Their Caregivers in Ghana. Healthcare 2022;10(2):275 View
  4. Amin R, Hossain M, Uddin M, Jony M, Kim M. Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model. Healthcare 2022;10(7):1327 View
  5. Stephen Addai-Dansoh , Dr. Ebenezer Larnyo1 , Francisca Arboh , Dr. Jonathan Aseye Nutakor , Jeremiah Osei-Kwakye , Priscilla Yeboah Boahemaa . Understanding the Predictors of Actual Use Behavior of Medical Devices among Kenyans post-COVID-19. The Moderating Effects of Technology Anxiety and Resistance to Change. International Journal of Scientific Research in Science, Engineering and Technology 2022:114 View
  6. Bian D, Xiao Y, Song K, Dong M, Li L, Millar R, Shi C, Li G. Determinants influencing the adoption of Internet Healthcare Technology among Chinese healthcare professionals: an extension of the Value-based Adoption Model (VAM) with Burnout theory (Preprint). Journal of Medical Internet Research 2022 View
  7. Nguyen N, Tran K, Nguyen T. Impact of Service Quality on In-Patients’ Satisfaction, Perceived Value, and Customer Loyalty: A Mixed-Methods Study from a Developing Country. Patient Preference and Adherence 2021;Volume 15:2523 View
  8. Lassarén P, Tewarie I, Gerstl J, Florman J, Smith T, Broekman M. Telemedicine and the right to health: A neurosurgical perspective. Journal of Clinical Neuroscience 2022;102:71 View
  9. Ma Q, Sun D, Tan Z, Li C, He X, Zhai Y, Wang L, Cui F, Li M, Gao J, Wang L, Zhao J. Usage and perceptions of telemedicine among health care professionals in China. International Journal of Medical Informatics 2022;166:104856 View
  10. Shi J, Yan X, Wang M, Lei P, Yu G. Factors Influencing the Acceptance of Pediatric Telemedicine Services in China: A Cross-Sectional Study. Frontiers in Pediatrics 2021;9 View
  11. Mahmoud K, Jaramillo C, Barteit S. Telemedicine in Low- and Middle-Income Countries During the COVID-19 Pandemic: A Scoping Review. Frontiers in Public Health 2022;10 View
  12. Cui W, Zhu W, Li X, Wu D, He P, Yu G. Attitudes and perspectives of 534 Chinese pediatricians toward internet hospitals. Frontiers in Pediatrics 2022;10 View
  13. Pagaling G, Espiritu A, Dellosa M, Leochico C, Pasco P. The practice of teleneurology in the Philippines during the COVID-19 pandemic. Neurological Sciences 2022;43(2):811 View
  14. Mensah I. Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services. Frontiers in Public Health 2022;10 View
  15. Liu F, Liao H, Al-Barakati A. Physician selection based on user-generated content considering interactive criteria and risk preferences of patients. Omega 2023;115:102784 View
  16. Antunes E, Alcaire R, Amaral I. Wellbeing and (Mental) Health: A Quantitative Exploration of Portuguese Young Adults’ Uses of M-Apps from a Gender Perspective. Social Sciences 2022;12(1):3 View
  17. Alexandra S, Handayani P, Azzahro F. Indonesian hospital telemedicine acceptance model: the influence of user behavior and technological dimensions. Heliyon 2021;7(12):e08599 View
  18. Schomakers E, Lidynia C, Vervier L, Calero Valdez A, Ziefle M. Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study. JMIR mHealth and uHealth 2022;10(1):e27095 View
  19. Baudier P, Kondrateva G, Ammi C, Chang V, Schiavone F. Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs. Technovation 2023;120:102547 View
  20. Koo J, Park Y, Kang D. Factors Predicting Older People’s Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study. JMIR Aging 2023;6:e41429 View
  21. Wang X, Su A, Liu F, Gong Y, Wei T, Gong R, Zhu J, Li Z, Lei J. Trends, Influence Factors, and Doctor-Patient Perspectives of Web-Based Visits for Thyroid Surgery Clinical Care: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e47912 View
  22. Wei S, Ge P, Zhang J, Xu S, Wang Y, Li Q, Feng B, Yu W, Suo B, Zhang Y, Wang M, Sun X, Song Z, Wu Y. Exploring factors that influence the behavioural intention of medical students to use 3D gastroscopic model to learn how to operate gastroscope using UTAUT Model. BMC Medical Education 2023;23(1) View
  23. Shao H, Liu C, Tang L, Wang B, Xie H, Zhang Y. Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study. JMIR Human Factors 2023;10:e46624 View
  24. Huang G, Ng S, Li D. Determinants of digital twin adoption in hospital operation management. Urban Lifeline 2023;1(1) View
  25. Hossain M, Amin R, Masud A, Hossain M, Hossen M, Hossain M. What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective. SAGE Open 2023;13(3) View
  26. Zhang Y, Zhang Y, Huang J, Dong L. Application of Internet hospitals for first-visit patients with COVID-19 during the pandemic in China. European Journal of Public Health 2023;33(5):789 View
  27. Wu Q, Ngien A, Jiang S. Descriptive Norms and eHealth Use Among Older Adults: A Cross-Country Comparative Study. Health Communication 2023:1 View
  28. Lu C, Tsai-Lin T. Are Older Adults Special in Adopting Public eHealth Service Initiatives? The Modified Model of UTAUT. SAGE Open 2024;14(1) View
  29. Chen H, Li H, Li L, Zhang X, Gu J, Wang Q, Wu C, Wu Y. Factors Associated with Intention to Use Telerehabilitation for Children with Special Needs: A Cross-Sectional Study. Telemedicine and e-Health 2024;30(5):1425 View
  30. Candra S, Frederica E, Putri H, Loang O. The UTAUT approach to Indonesia’s behavioral intention to use mobile health apps. Journal of Science and Technology Policy Management 2024 View
  31. Chen N, Bai D, Lv N. Towards an Integrated Online–Offline Healthcare System: Exploring Chinese Patients’ Preferences for Outpatient Follow-Up Visits Using a Discrete Choice Experiment. Systems 2024;12(3):75 View
  32. Alcaire R, Flores A, Antunes E. Beyond Words: Tapping the Potential of Digital Diaries While Exploring Young Adults’ Experiences on Apps. Societies 2024;14(3):40 View
  33. Jiang J, Zheng Z. Medical Information Protection in Internet Hospital Apps in China: Scale Development and Content Evaluation of Privacy Policies (Preprint). JMIR mHealth and uHealth 2023 View
  34. Thabet Z, Albashtawi S, Ansari H, Al-Emran M, Al-Sharafi M, AlQudah A. Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM–ANN Approach. IEEE Transactions on Engineering Management 2024;71:8938 View

Books/Policy Documents

  1. Cheshmehzangi A. ICT, Cities, and Reaching Positive Peace. View