This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (103) JMIR Theme Issue: COVID-19 Special Issue (2391) Digital Health, Telehealth and e-Innovation in Clinical Settings (344) Clinical Communication, Electronic Consultation and Telehealth (549) Outbreak and Pandemic Preparedness and Management (1675)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25435, first published .
Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Authors of this article:

Min Ho An1 Author Orcid Image ;   Seng Chan You2 Author Orcid Image ;   Rae Woong Park2, 3 Author Orcid Image ;   Seongwon Lee2 Author Orcid Image
Article Authors Cited by (40) Tweetations (4) Metrics

Journals

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  2. Rush K, Seaton C, Corman K, Hawe N, Li E, Dow-Fleisner S, Hasan M, Oelke N, Currie L, Pesut B. Virtual Care Prior to and During COVID-19: Cross-sectional Survey of Rural and Urban Adults. JMIR Formative Research 2022;6(8):e37059 View
  3. Guntu M, Lin E, Sezgin E, Gregory M, Huang Y, Linwood S. Identifying the Factors Influencing Patients' Telehealth Visit Satisfaction: Survey Validation Through a Structural Equation Modeling Approach. Telemedicine and e-Health 2022;28(9):1261 View
  4. Lu Y, Deng Y. What Drives Construction Practitioners’ Acceptance of Intelligent Surveillance Systems? An Extended Technology Acceptance Model. Buildings 2022;12(2):104 View
  5. Torp D, Sandbæk A, Prætorius T. The Technology Acceptance of Video Consultations for Type 2 Diabetes Care in General Practice: Cross-sectional Survey of Danish General Practitioners. Journal of Medical Internet Research 2022;24(8):e37223 View
  6. Krisdina S, Dwi Nurhayati O, Mutiara Kusumo Nugraheni D, Warsito B, Sutiningsih D, Muhammad F. Hybrid Model Based on Technology Acceptance Model (TAM) & Information System Success Model (ISSM) in Analyzing the Use of E-Health. E3S Web of Conferences 2022;359:05003 View
  7. Fitri Kinasih Husnul Khotimah , Fahmi I, Sri Hartono . The Antecedents of Intention to Use Telemedicine. Journal of Consumer Sciences 2022;7(2):97 View
  8. Antoniou K, Vasarmidi E, Russell A, Andrejak C, Crestani B, Delcroix M, Dinh-Xuan A, Poletti V, Sverzellati N, Vitacca M, Witzenrath M, Tonia T, Spanevello A. European Respiratory Society statement on long COVID follow-up. European Respiratory Journal 2022;60(2):2102174 View
  9. Li W, Shen S, Yang J, Guo J, Tang Q. Determinants of Satisfaction With Hospital Online Appointment Service Among Older Adults During the COVID-19 Pandemic: A Cross-Sectional Study. Frontiers in Public Health 2022;10 View
  10. 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
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  13. Kim S, Kang S, Sunwoo S, Choi W, Kim C, Park Y, Jung S, Kim Y. Experience With and Awareness of Telemedicine Among Korean Outpatients During the COVID-19 Pandemic. Telemedicine and e-Health 2022;28(11):1595 View
  14. Han K, Yoon J, Jun E. Proposal for Health Insurance Policy When Telehealth Is Legalized: Focused on Telemedicine Platform, Remote Monitoring Device, Digital Therapeutics, and Homecare Medical Device. Health Insurance Review & Assessment Service Research 2022;2(1):36 View
  15. Mensah I. Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services. Frontiers in Public Health 2022;10 View
  16. Driver V, Couch K, Eckert K, Gibbons G, Henderson L, Lantis J, Lullove E, Michael P, Neville R, Ruotsi L, Snyder R, Saab F, Carter M. The impact of the SARS‐CoV‐2 pandemic on the management of chronic limb‐threatening ischemia and wound care. Wound Repair and Regeneration 2022;30(1):7 View
  17. Kokol P, Blažun Vošner H, Kokol M, Završnik J. Role of Agile in Digital Public Health Transformation. Frontiers in Public Health 2022;10 View
  18. Chua C, Mathews J, Ong M, Liew K, Shorey S. Use of telelactation interventions to improve breastfeeding outcomes among mothers: A mixed-studies systematic review. Women and Birth 2023;36(3):247 View
  19. Viana Pereira F, Tavares J, Oliveira T. Adoption of video consultations during the COVID-19 pandemic. Internet Interventions 2023;31:100602 View
  20. Liu L, Alford-Teaster J, Onega T, Wang F. Refining 2SVCA method for measuring telehealth accessibility of primary care physicians in Baton Rouge, Louisiana. Cities 2023;138:104364 View
  21. Heriana C. Analysis of Receiving Surveillance Information System for Public Health Centre (SISPHEC.ID Application) using Technology Acceptance Model (TAM) at Kuningan District, Indonesia. Medical Technology and Public Health Journal 2023;7(1):89 View
  22. Lesport Q, Joerger G, Kaminski H, Girma H, McNett S, Abu-Rub M, Garbey M. Eye Segmentation Method for Telehealth: Application to the Myasthenia Gravis Physical Examination. Sensors 2023;23(18):7744 View
  23. Alsahli S, Hor S, Lam M. Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review. JMIR mHealth and uHealth 2023;11:e50419 View
  24. Pramudita E, Achmadi H, Nurhaida H. Determinants of behavioral intention toward telemedicine services among Indonesian Gen-Z and Millenials: a PLS–SEM study on Alodokter application. Journal of Innovation and Entrepreneurship 2023;12(1) View
  25. Dandapani H, Davoodi N, Serina P, Keene S, Goldberg E. Telehealth during COVID-19: Perspectives on Usability by US Physicians. Journal of Brown Hospital Medicine 2023;2(3) View
  26. Hinkle J, Bove L, Roberto A, Arms T, Rowan N, Sigmon L. An Innovative Nurse Practitioner Curricular Design Using an Adaptive Learning Platform, Adaptive Case Studies, and Telehealth Simulations: A Feasibility Study. SAGE Open Nursing 2023;9 View
  27. 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
  28. Sallam M, Salim N, Barakat M, Al-Mahzoum K, Al-Tammemi A, Malaeb D, Hallit R, Hallit S. Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study. JMIR Medical Education 2023;9:e48254 View
  29. Bernardi R. Turning digital in times of crisis: A values-based theory of telehealth adoption during the Covid-19 pandemic. Information & Management 2023;60(6):103835 View
  30. Priyansyah R, Fuady I, Pratamawaty B. Factors influencing acceptance of Indonesian contact tracing APP: Development of the technology acceptance model. Human Technology 2023;19(2):262 View
  31. Jang M. Why Do People Use Telemedicine Apps in the Post-COVID-19 Era? Expanded TAM with E-Health Literacy and Social Influence. Informatics 2023;10(4):85 View
  32. Jain S, Choi J, Cooper B, Renwick B, Mohamed M, Makris S. Long-Term Impact of COVID-19 Related Disruption of National Health Service Elective Services on Emergency Major Lower Limb Amputations. Annals of Vascular Surgery 2024;102:84 View
  33. Park Y, Heo H, Woo K. Status of Telenursing and Future Use Intentions in Home Health Care in the Post-COVID-19 Era. Home Health Care Management & Practice 2024 View
  34. Chen B, Chang Y, Wang B, Zou J, Tu S. Technology acceptance model perspective on the intention to participate in medical talents training in China. Heliyon 2024;10(4):e26206 View
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  36. Yeung N, Lau S, Mak W, Cheng C, Chan E, Siu J, Cheung P. Applying the Unified Theory of Acceptance and Use of Technology to Identify Factors Associated With Intention to Use Teledelivered Supportive Care Among Recently Diagnosed Breast Cancer Survivors During COVID-19 in Hong Kong: Cross-Sectional Survey. JMIR Cancer 2024;10:e51072 View
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Books/Policy Documents

  1. Wong B, Vengusamy S, Bastrygina T. Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry. View