Factors Influencing Changes in Fasting Blood Sugar Level of Participants in Primary Care Chronic Disease Management Pilot Project using ICT

ICT를 활용한 만성질환관리 시범사업 참여자의 공복혈당수치 변화에 영향을 미치는 요인

  • Ha, Yu-Hee (Department of Health Administration, Yonsei University Graduate School) ;
  • Jin, Ki-Nam (Department of Health Administration, Yonsei University Mirae Campus) ;
  • Jeong, Jae-Yeon (Department of Health Administration, Yonsei University Graduate School) ;
  • Choi, Hwa-Young (Department of Health Administration, Yonsei University Graduate School)
  • 하유희 (연세대학교 대학원 보건행정학과) ;
  • 진기남 (연세대학교 미래캠퍼스 보건행정학과) ;
  • 정재연 (연세대학교 대학원 보건행정학과) ;
  • 최화영 (연세대학교 대학원 보건행정학과)
  • Received : 2021.01.07
  • Accepted : 2021.03.18
  • Published : 2021.03.31

Abstract

The purpose of this study is to analyze that ICT-based primary health care affects clinical changes of participants in the primary care chronic disease management pilot project using ICT medical care. Customized health information data, provided by National Health Insurance Service, was used for the analysis. The study targeted a total of 676 people that participated in primary care chronic disease management pilot project using ICT medical care from 2017 to 2018. Hierarchical regression was used to test three model. First, there were many subjects who used face-to-face consultation and non-face-to-face consultation(messaging), but less than half of patients using non-face-to-face consultation(telephone). Second, after participating in the pilot project, the fasting blood sugar level decreased. Third, the clinical condition of the subjects appeared to be an important factor in controlling blood sugar levels. Finally, patients using the non-face-to-face consultation(messaging) had reduced blood sugar levels after participating in the project. This results imply that non-face-to-face consultation is effective in reducing fasting blood sugar level with hospital intervention, and there are effects of the primary care chronic disease management project using ICT.

Keywords

References

  1. Ministry of Health and Welfare. (2018). Health and Welfare White Paper. http://www.mohw.go.kr/react/jb/sjb030301vw.jsp
  2. Kim Y, Cho E. Lifestyle factors related to glucose control for diabetes management strategies: Nested case control design using KNHANES data. Journal of the Korea Convergence Society 2019;10(11): pp.501-510.
  3. Yoon S. The Relationships of Health Literacy, Medication Adherence and Self-Care Performance of Diabetes Mellitus Patient. Health & Nursing 2017; 29(1): pp.27-38.
  4. Shin EC. Research Review: Effective of Self-Management Education in Diabetes Patients. J Korean Diabetes(JKD) 2016; 17(3): pp.185-189. https://doi.org/10.4093/jkd.2016.17.3.185
  5. Cho BL. Korea Health Promotion Institute Health Promotion Research Project annual report 2018; pp.39-52.
  6. Straus, S. G., Chen, A. H., Yee Jr, H., Kushel, M. B., & Bell, D. S. Implementation of an electronic referral system for outpatient specialty care. In AMIA Annual Symposium Proceedings 2011; p.1337.
  7. De Jongh, T., Gurol-Urganci, I., Vodopivec-Jamsek, V., Car, J., & Atun, R. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database of Systematic Reviews 2012; (12).
  8. Korea Health Promotion Institute. Primary medical chronic disease management. 2020. https://www.khealth.or.kr/board?menuId=MENU01065&siteId=null
  9. Ministry of Health and Welfare. Primary Medical Chronic Disease Management Pilot Project Guideline. 2018.
  10. Park YS, Kim JS. An Analysis of Effects of Differential Coinsurance Policy and Utilization of Outpatients Care by Types of Medical Institutions. Health Policy and Management 2017; 27(2): 128-138. https://doi.org/10.4332/KJHPA.2017.27.2.128
  11. Park WH. The difference of outpatient utilization by changing coinsurance rate on pharmaceutical cost. [dissertation]. Yonsei University; 2015.
  12. Lee KS. Medical system development and telemedicine. Research Institute for Healthcare Policy Korean Medical Association 2016;14(3): 36-41.
  13. Kim SS, Ryu SW. Structural Relationships Among Factors to Adoption of Telehealth Service. Asia Pacific Journal of Information Systems 2011; 1(1): 10.
  14. Kweon Y, Kim h, Yoo B, Kim Y, Lee M. Qualitative Analysis of ICT based Health Care Management for Chronic Disease Patients. Journal of Korean Public Health Nursing 2018; 32(2): pp.235-248. https://doi.org/10.5932/JKPHN.2018.32.2.235
  15. Choi H, Kim J. Low-income elders' experiences in using u-health (ubiquitous healthcare) services. Journal of Korean Academy of Community Health Nursing 2014; 25(4): pp.271-282.
  16. Kim K, Lee M, Lee J, Ryu S. Compliance of hypertensive patients registered in primary health care posts implementing the Gangwon telemedicine service system. J Korean Soc Health Inf Health Stat 2008; 33(2): pp.59-76.
  17. Lee JG. The effects of quality and accessibility of telehealth service for patient with chronic disease on patient satisfaction, compliance, and intention to reuse. Journal of the Korean Society of Health Information and Health Statistics 2010; 35(2): 149-176.
  18. Lee KE. Outcome evaluation of telehealth for chronic disease in Kangwon Province. In: Health Welf Policy Forum 2005; 2005(8): pp.63-79.
  19. Kwon M, Park D, Choi J. Experience on telemedicine use of community health practitioners. Korean Journal Of Health Education And Promotion 2013; 30(2): pp.23-39. https://doi.org/10.14367/kjhep.2013.30.2.023
  20. Kwon M, Yang S, Jang J. Health related lifestyles, self-efficacy and health related quality of life by the types of hypertension management in community health posts. Journal of Korean Public Health Nursing 2015; 29(3): 565-581. https://doi.org/10.5932/JKPHN.2015.29.3.565
  21. Chung Y, Lee K. A Study on Smart Healthcare Effectiveness of Chronic Disease Management Using Dynamic Simulatation Approach: Focused on Gangwon Province. Health and Social Welfare Review 2019; 39(4): pp.396-424. https://doi.org/10.15709/HSWR.2019.39.4.396
  22. Lee SY. Economic Efficiency of Telemedicine. Health and Welfare Forum 2005; 2005(8): pp.25-35.
  23. Lee S, Ryu S, Lee K, Kang E. Economic analysis and trial project model development of telehealth. Institute for Health and Social Affairs; 2006. Available from https://www.kihasa.re.kr/web/publication/research/view.do?page Index=5&keyField=pubYear& searchStat=2006&menuId=45&tid=71&bid=11&division=002&ano=478
  24. Korea Health Industry Development Institute. Telemedicine policy and security trends of convergence of the health industry discover new industries and support policies; 2016. Available from https://www.khidi.or.kr/board/view?linkId=179455&menuId=MENU00085
  25. Jung H, Lee B, Kwon Y, Min K, Myung S. The effects of u-health program on metabolic syndrome of workers. Korean Journal of Occupational Health Nursing 2014; 23(1): 47-54. https://doi.org/10.5807/KJOHN.2014.23.1.47
  26. Chung Y, Moon M, Lee C. The effect of Smart Care ubiquitous health service on hypertension management. Journal of the Korea Academia-Industrial Cooperation Society 2013; 14(3): 1213-1220. https://doi.org/10.5762/KAIS.2013.14.3.1213
  27. Kwon M, Noh G, Choi J. The effect of the telemedicine service system application for the patients with hypertension at community health practitioner posts in Gangwon province. Korean Journal of Health Education and Promotion 2014; 31(2): 55-64. https://doi.org/10.14367/kjhep.2014.31.2.55
  28. Omboni, S., Guarda, A. Impact of home blood pressure telemonitoring and blood pressure control: a meta-analysis of randomized controlled studies. American journal of hypertension 2011; 24(9): pp.989-998. https://doi.org/10.1038/ajh.2011.100
  29. Earle, K. A., Istepanian, R. S., Zitouni, K., Sungoor, A., Tang, B. Mobile telemonitoring for achieving tighter targets of blood pressure control in patients with complicated diabetes: a pilot study. Diabetes technology & therapeutics 2010; 12(7): pp.575-579. https://doi.org/10.1089/dia.2009.0090
  30. Holmen, H., Wahl, A. K., Smastuen, M. C., Ribu, L. Tailored communication within mobile apps for diabetes self-management: a systematic review. Journal of medical Internet research 2017; 19(6): e227. https://doi.org/10.2196/jmir.7045
  31. Holmen, H., Torbjornsen, A., Wahl, A. K., Jenum, A. K., Smastuen, M. C., Arsand, E., Ribu, L. A mobile health intervention for self-management and lifestyle change for persons with type 2 diabetes, part 2: one-year results from the Norwegian randomized controlled trial RENEWING HEALTH. JMIR mHealth and uHealth 2014; 2(4): e57. https://doi.org/10.2196/mhealth.3882
  32. Chase, H. P., Pearson, J. A., Wightman, C., Roberts, M. D., Oderberg, A. D., Garg, S. K. Modem transmission of glucose values reduces the costs and need for clinic visits. Diabetes care 2003; 26(5): pp.1475-1479. https://doi.org/10.2337/diacare.26.5.1475
  33. Shulman, R. M., O'Gorman, C. S., Palmert, M. R. The impact of telemedicine interventions involving routine transmission of blood glucose data with clinician feedback on metabolic control in youth with type 1 diabetes: a systematic review and meta-analysis. International journal of pediatric endocrinology 2010; 2010(1): pp.1-9. https://doi.org/10.1155/2010/536957
  34. Harvey-Berino, J., Pintauro, S., Buzzell, P., Gold, E. C. Effect of internet support on the long-term maintenance of weight loss. Obesity research 2004; 12(2): pp.320-329. https://doi.org/10.1038/oby.2004.40
  35. Andersson, G., Bergstrom, J., Hollandare, F., Carlbring, P. E. R., Kaldo, V., Ekselius, L. Internet-based self-help for depression: randomised controlled trial. The British Journal of Psychiatry 2005; 187(5): pp.456-461. https://doi.org/10.1192/bjp.187.5.456
  36. Khattab, Maysaa, et al. Factors associated with poor glycemic control among patients with type 2 diabetes. Journal of Diabetes and its Complications 2010; 24.(2) : 84-89. https://doi.org/10.1016/j.jdiacomp.2008.12.008
  37. Kim G, Kim B, Park J. Short-term glycemic control and the related factors in association with compliance in diabetic patients. Journal of Preventive Medicine and Public Health 2000; 33(3): 349-363.
  38. Park JS. Final Report on Establishing the Foundation for Activation of Telemedicine for the Promotion of Public Health and Convenience. Korea Health Industry Development Institute; 2015.
  39. Lee A, Kim H. The Effect of Vitamin D on the Glycemic Control in Patients with Diabetes: From the Fifth (2010-2012) Korea National Health and Nutrition Examination Survey. Journal of Korean Biological Nursing Science 2020; 22(1): 53-60. https://doi.org/10.7586/jkbns.2020.22.1.53
  40. Costanzo, Pierluigi, et al. The obesity paradox in type 2 diabetes mellitus: relationship of body mass index to prognosis: a cohort study. Annals of internal medicine 2015; 162.(9): 610-618. https://doi.org/10.7326/M14-1551
  41. Kim H, Yoo, B, Lee E. Evaluation of the national chronic diseases management policy: performance and future directions. Public Health Affairs 2018; 2(1): 105-120. https://doi.org/10.29339/pha.2.1.105
  42. Taylor, Ann M., et al. Integrating innovative telehealth solutions into an interprofessional team-delivered chronic care management pilot program. Journal of managed care & specialty pharmacy 2018; 24(8): 813-818. https://doi.org/10.18553/jmcp.2018.24.8.813