DOI QR코드

DOI QR Code

A Study of Factors Influencing the Acceptance of non-Face-to-Face Treatment Based on Social Cognitive Theory

사회인지이론에 근거한 비대면 진료서비스 수용의 영향 요인

  • Myung Soon Kwon (School of Nursing, Research Institute of Nursing Science Hallym University) ;
  • Ji Hye Jang (Department of Nursing, Songho University) ;
  • Hyun Sik Kim (Office of Admissons, Sejong Cyber University) ;
  • Yeon Jeong Heo (College of Nursing, Kangwon National University)
  • 권명순 (한림대학교 간호대학 간호학과) ;
  • 장지혜 (송호대학교 간호학과) ;
  • 김현식 (세종사이버대학교 입학처) ;
  • 허연정 (강원대학교 간호학과)
  • Received : 2024.02.01
  • Accepted : 2024.05.30
  • Published : 2024.06.30

Abstract

Purpose: This study aimed to elucidate the intention to use non-face-to-face treatment, which was temporarily allowed during the coronavirus disease 2019 pandemic. Based on the social cognitive theory, individual behavioral changes occur through the dynamic interaction of individual, environmental, and behavioral factors. Thus, we investigated the impact of personal, environmental, and behavioral factors on the acceptance of non-face-to-face treatment. Methods: A Web survey was conducted using Korea Research Panel between December 26 and 29, 2022, to examine the conceptual framework. The survey targeted adults aged 19 and older, regardless of whether they had used non-face-to-face treatment. A total of 502 responses were collected. Further, a three-step hierarchical regression analysis was conducted using SPSS Windows software version 25.0. Results: The study showed that 131 out of 502 respondents had experience using non-face-to-face treatment, while 371 did not. The factors that influenced the intention to accept non-face-to-face treatment included the general characteristics of the participants (women, underlying disease), personal factors (usefulness, cost savings, knowledge), and environmental factors (social norms, trust, perceived risk). The model demonstrated an explanatory power of 65%. Conclusion: The results of this study directly show that intention is linked to behavior through the interaction between personal and environmental factors. Further research is needed to explore additional factors influencing the intention to accept non-face-to-face treatment, enabling its effective use in preventing and treating various diseases, including infectious diseases.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIT) (NRF-2020R1F1A1070606).

References

  1. Lee JS. A study on the activation of telemedicine in COVID-19 pandemic. Journal of Knowledge Information Technology and Systems. 2020;15(5):815-29. 
  2. Kim JS, Lim JY, Kang JH. Physicians' perceptions and policy suggestions for telemedicine after COVID-19. The Journal of the Korea Contents Association, 2022;22(12):576-86. 
  3. National Law Information Center. Medical service act [Internet]. Sejong, Korea: National Law Information Center; 2024 [cited 2024 Jan 12]. Available from: https://www.law.go.kr/%EB%B2%95%EB%A0%B9/%EC%9D%98%EB%A3%8C%EB%B2%95/%EC%A0%9C34%EC%A1%B0 
  4. Ministry of Health and Welfare. Guidelines for temporary telemedicine allowance. Notice No. 2020-889[Internet]. Sejong, Korea: Ministry of Health and Welfare; 2020 [cited 2024 Apr 29]. Available from: https://www.mohw.go.kr/board.es?mid=a10501010000&bid=0003&act=view&list_no=361697&tag=&nPage=174 
  5. Kim JS, Lim SM. A Comparative analysis on current status of telemedicine policy before and after COVID-19: Focused on France and Australia. Convergence Society and Public Policy (Formerly Public Policy and Administration). 2022;16(3):129-60. 
  6. Jin S. A study of factors affecting use intention of untact medical diagnosis and consultation services. The Journal of the Korea Contents Association. 2020;20(12):180-97. 
  7. World Health Organization. Telemedicine: opportunities and developments in member states: report on the second global survey on eHealth 2009 [Internet].. Geneva, Swiss: World Health Organization; 2010. [cited 2024 Apr 29]. Available from: https://iris.who.int/handle/10665/44497 
  8. World Medical Association. WMA statement on guiding principles for the use of telehealth for the provision of health [Internet]. Ferney-Voltaire,France: World Medical Association; 2009 [cited 2024 Apr 29]. Available from: https://www.wma.net/policies-post/wma-statement-on-guiding-principles-for-the-use-of-telehealth-for-the-provision-of-health-care/ 
  9. Kim JY, Lee KI. Advantages and necessities of telehealth care service. The Korean Journal of Medicine. 2020;95(4):217-27. 
  10. Kim HS, Kim HS. Lee M, Go MJ, Lee NR, Shin HG, et al. Research to explore areas requiring application according to the characteristics of non-face-to-face medical services[Internet]. Seoul, Korea: National Evidence-based Healthcare Collaborating Agency; 2022. [cited 2024 Apr 29]. Available from: https://www.neca.re.kr/report_download.do?seq=339&key=1&cms_menu_seq=145 
  11. Reger MA, Gahm GA. A meta-analysis of the effects of internet- and computer-based cognitive-behavioral treatments for anxiety. Journal of Clinical Psychology. 2009;65(1):53-75. 
  12. Demiris G, Hensel BK. Technologies for an aging society: a systematic review of "smart home" applications. Yearbook of Medical Informatics. 2008;17(1);33-40. 
  13. Polisena J, Tran K, Cimon K, Hutton B, McGill S, Palmer K, et al. Home telehealth for chronic obstructive pulmonary disease: a systematic review and meta-analysis. Journal of Telemedicine and Telecare. 2010;16(3):120-7. 
  14. Bestsennyy O, Gilbert G, Harris A, Rost J. Telehealth: A Quarter-Trillion-dollar postCOVID-19 reality?. Chicago, USA: McKinsey and Company; 2020(9) 
  15. Mueller B. Telemedicine Arrives in the U.K.: '10 Years of change in one week' [Internet]. New York, USA: The New York Times; 2020 Apr 4 [cited 2024 Apr 29]. Available from: https://www.nytimes.com/2020/04/04/world/europe/telemedicine-uk-coronavirus.html?smid=url-share 
  16. Lee JH, Park MS, Lee SW. The transmission dynamics of SARSCoV- 2 by setting in three waves in the Seoul metropolitan area in South Korea. Health and Social Welfare Review. 2021;41(2):7-26. 
  17. Jeon HJ, Park SH, Park CR, Shin YC, Park SY, Han SM. A Research on the intention to accept telemedicine of undergraduate students: based on Social Cognitive Theory and Technology Acceptance Model. Journal of Digital Convergence. 2022;20(2).325-38 
  18. Han SM, Kim EH. A Study on telemedicine acceptance behavior of baby boomers. The Journal of Humanities and Social science. 2022;13(6):3513-26. 
  19. Jin, S. A study on the effect of expected benefits and perceived risks on intention to use untact medical diagnosis and consultation services. Journal of the Korea Society of Computer and Information. 2022;27(4):61-77. 
  20. Roh JE, Ryoo HY. Deriving User Expectancy-Value of Non-Face-to-Face Care Service for Chronically Ill Patients. Journal of Integrated Design Research. 2023;22(4);135-50. 
  21. National Health Service. The NHS Long Term Plan [Internet]. London,UK: United Kingdom National Health Service; 2019. [cited 2024 Apr 29]. Available from: https://www.longtermplan.nhs.uk/ 
  22. Jeon YB. Regulatory Relaxation of Online Medical Treatment and Remote Medication Guidance: Issues Analysis in Japan[Internet].Seoul, Korea: Regulatory Trends Journal; 2018 [cited 2024 Apr 29]. Available from: https://www.kipa.re.kr/site/kipa/research/opmSelectPublishView.do;jsessionid=58D72D637FF78EEDDFDAA4C5F5CE46D0?gubun=D1&se=D1&pblcteId=PUBL_000000000000397 
  23. Park SH, Park SY. Current Status and Implications of the Smart Healthcare Market in China. [Internet]. Seoul, Korea: Korea International Trade Association; 2019 [cited 2024 Apr 29]. Available from: https://me2.do/xQ8QbJVF 
  24. Lee JH, Hoornbeek J, Oh NK. Social cognitive orientations, social support, and physical activity among at-risk urban children: insights from a structural equation model. International Journal of Environmental Research and Public Health. 2020;17(18) 
  25. Bandura A. Health promotion by social cognitive means. Health Education & Behavior. 2004;31(2):143-64. 
  26. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Oxford, UK: Routledge;1988 
  27. Kim SE, Noh GY, Choi JH. A Study of the factors affecting expected benefits of medical services via telemedicine. Journal of Digital Convergence. 2017;15(11):471-84. 
  28. Alboraie M, Allam MA, Youssef N, Abdalgaber M, El-Raey F, Abdeen N, et al. Knowledge, applicability, and barriers of telemedicine in Egypt: a national survey. International Journal of Telemedicine and Applications. 2021;2021. 
  29. Layfield E, Triantafillou V, Prasad A, Deng J, Shanti RM, Newman JG, et al. Telemedicine for head and neck ambulatory visits during COVID-19: Evaluating usability and patient satisfaction. Head & Neck. 2020;42(7):1681-89. 
  30. Waselewski ME, Waselewski EA, Wasvary M, Wood G, Pratt K, Chang T, et al. Perspectives on telemedicine from a national study of youth in the United States. Telemedicine and e-Health. 2022;28(4):575-82 
  31. Kabene SM, Orchard C, Howard JM, Soriano MA, Leduc R. The importance of human resources management in health care: a global context. Human Resources for Health. 2006;4(20) 
  32. Lee SM, Lee DH. Opportunities and challenges for contactless healthcare services in the postCOVID-19 Era. Technological Forecasting and Social Change. 2021;167:120712. 
  33. Health Cluster. Multi-sector Collaboration in Nigeria's COVID-19 Response[Internet]. Geneva,Swiss: World Health Organization; 2020[cited 2024 Apr 29]. Available from: https://healthcluster.who.int/newsroom/news/item/31-05-2020-multi-sector-collaboration-in-nigeria-s-covid-19-response 
  34. Akiyama M, Yoo BK. A systematic review of the economic evaluation of telemedicine in Japan. Journal of Preventive Medicine and Public Health. 2016;49(4):183-96. 
  35. Ibrahim MIM, Phing CW, Palaian S. Evaluation of knowledge and perception of Malaysian health professionals about telemedicine. Journal of Clinical and Diagnostic Research. 2010;4(1):2052-6. 
  36. Andreassen HK, Trondsen M, Kummervold PE, Gammon D, Hjortdahl P. Patients who use e-mediated communication with their doctor: new constructions of trust in the patient-doctor relationship. Qualitative Health Research. 2006;16(2):238-48. 
  37. Langbecker D, Caffery LJ, Gillespie N, Smith AC. Using survey methods in telehealth research: A practical guide. Journal of Telemedicine and Telecare. 2017;23(9):770-9. 
  38. Serwe KM, Hersch GI, Pancheri K. Feasibility of using Telehealth to deliver the "powerful tools for caregivers" program. International Journal of Telerehabilitation. 2017;9(1):15-22. 
  39. Faett BL, Brienza DM, Geyer MJ, Hoffman LA. Teaching self-management skills in persons with chronic lower limb swelling and limited mobility: evidence for usability of telerehabilitation. International Journal of Telerehabilitation. 2013;5(1):17-26.