Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
권호 표지
DOI QR코드

DOI QR Code

A Systematic Review of Randomized Controlled Trials With ICT-based Convergence Study for the Elderly

노인 대상 ICT 기반 융합연구: 무작위 대조군 실험연구의 체계적 고찰

  • Lee, Hey-Sig (Dept. of Occupational Therapy, Graduate School of Yonsei University) ;
  • Park, Hae-Yean (Dept. of Occupational Therapy, College of Health Science, Yonsei University)
  • 이혜식 (연세대학교 일반대학원 작업치료학과) ;
  • 박혜연 (연세대학교 보건과학대학 작업치료학과)
  • Received : 2019.10.23
  • Accepted : 2020.03.20
  • Published : 2020.03.28
Download PDF
⟨ Previous Next ⟩

Abstract

This study is to examine the randomized controlled trials abroad studies on ICT-based convergence studies in the elderly, and to investigate the types and effects of ICT-based interventions. Eight studies that meet the selection criteria were selected from 326 studies identified by three databases and hand-searching. As a result of this study, the most commonly used ICT were the three internet, followed by two tablets and mobile phones, one twoway videoconferencing, one Kinect, one robot, and one Blood Glucose Monitoring System. These results could be used for ICT-based convergence studies in Korea, and further studies should be conducted with higher quality studies such as randomized controlled trials.

본 연구는 노인을 대상으로 한 ICT 기반 융합연구에 대한 국외의 무작위 대조군 실험연구를 체계적으로 고찰하여 ICT 기반 중재의 종류와 효과에 대해 파악하고자 한다. 3개의 데이터베이스와 수기검색으로 확인한 326편 중 선정 기준에 부합하는 8편을 선정하였다. 본 연구결과 가장 많이 사용된 ICT는 인터넷으로 총 3편이었으며, 다음으로 태블릿과 휴대폰이 2편이었고, 그 외에 양방향 화상회의 1편, 키넥트 1편, 로봇 1편, 혈당 관리 시스템 1편이었다. 이러한 연구결과는 국내의 ICT 기반 융합연구에 활용될 수 있을 것이며, 추후 수준 높은 효과 검증을 위해 무작위 대조군 실험 연구와 같은 질적 수준이 높은 연구가 더 많이 진행되어야 함을 보여준다.

Keywords

References

  1. J. S. Yang & S. J. Cha. (2016). A Study of the Educational Value and Potential Utilization of an ICT-based(Information Communication Technology) Dance Game for the New Silver Generation. The Journal of Korean Dance, 34(2), 89-120. DOI : 10.15726/jkd.2016.34.2.005
  2. H. J. Jun & M. Y. Kim. (2015). The Influence of Internet Use on Satisfaction with Social Relationships and Depression among Older Adults Living Alone in Seoul. Korean Journal of Social Welfare Research, 43, 73-98.
  3. Y. T. Park. (2013). The Latest Trend in Elderly Care Costs. Seoul : Health Insurance Review & Assessment Service.
  4. M. J. Hwang, Y. S. Seo, K. H. Kim, S. H. Jin, W. C. Shim & S. B. Shin. (2011). Effect analysis on results of long-term care insurance of baby boomers' health.medical related consuming behavior and asset portfolio. Seoul : Ministry of Health & Welfare.
  5. M. S. Moon & M. Y. Jung. (2016). A Systematic Review on the Association between Cognitive Function and Upper Extremity Function in the Elderly. Therapeutic Science for Neurorehabilitation, 5, 23-33.
  6. S. R. Ma. (2017). The Effects of Theratainment Task Oriented Upper Limb Motor Task on Muscle Tone and Upper Extremity Function in Stroke Patients over 65 Years. Journal of the Korea Entertainment Industry Association, 11(7), 335-345. DOI : 10.21184/jkeia.2017.10.11.7.335
  7. K. Y. Chang & J. M. Kang. (2005). The Study of Activities of Daily Living Performance and Quality of Life for Elderly Residents in the Daejeon City. The Journal of Korean Society of Occupational Therapy, 13(1), 45-56.
  8. S. K. Kim. (2005). The Risk Factors and Occupational Therapy for Prevention of Falling in the Elderly. The Journal of Korean Society of Occupational Therapy, 13(3), 69-76.
  9. D. R. Kim. (2017). An Integrative Review of Non-pharmacological Intervention in Elderly Patients with Mild Cognitive Impairment. Journal of the Korea Convergence Society, 8(5), 243-253. DOI : 10.15207/JKCS.2017.8.5.243
  10. Y. N. Lee, J. H. Park & S. H. Park. (2015). The Effects of Multistrategic Memory Training on Memory, Metamemory and Depression in Older Adults. The Journal of Korean Society of Occupational Therapy, 23(1), 85-94. DOI : 10.14519/jksot.2015.23.1.07
  11. H. S. Kwak & J. H. Park. (2018). A Systematic Review of the Application Nonpharmacological Cognitive Interventions in Patients With Dementia. The Journal of Korean Society of Occupational Therapy, 26(4), 13-26. DOI : 10.14519/jksot.2018.26.4.02
  12. H. K. Yang. (2006). The Effects of the Recreational Music Therapy on the Cognitive Functional of the Aged People with Dementia. Journal of the Korean Gerontological Society, 26(4), 749-765.
  13. J. K. Kang & J. Y. Lee. (2015). Status and Tasks of ICT-based Welfare Services for the Elderly Living Alone. Journal of Digital Convergence, 13(1), 67-76. DOI : 10.14400/JDC.2015.13.1.67
  14. L. K. Schaper & G. P. Pervan. (2007). ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists. International Journal of Medical Informatics, 76, S212-S221. DOI : 10.1016/j.ijmedinf.2006.05.028
  15. C. Hongoro & B. McPake. (2004). How to bridge the gap in human resources for health. Lancet, 364(9443), 1451-1456. DOI : 10.1016/S0140-6736(04)17229-2
  16. V. Narasimhan et al. (2004). Responding to the global human resources crisis. Lancet 363(9419), 1469-1472. DOI : 10.1016/S0140-6736(04)16108-4
  17. G. W. Lee & H. W. Son. (2016). Geospatial Information Systems Thesaurus. Seoul : GoomiBook.
  18. A. Gros et al. (2016). Recommendations for the use of ICT in elderly populations with affective disorders. Frontiers in aging neuroscience, 8, 269. DOI : 10.3389/fnagi.2016.00269
  19. C. I. Martinez-Alcala, P. Pliego-Pastrana, A. Rosales-Lagarde, J. S. Lopez-Noguerola & E. M. Molina-Trinidad. (2016). Information and communication Technologies in the Care of the elderly: systematic review of applications aimed at patients with dementia and caregivers. JMIR Rehabilitation and Assistive Technologies, 3(1), e6. DOI : 10.2196/rehab.5226
  20. M. Anderson & A. Perrin. (2017). Tech Adoption Climbs Among Older Adults. Pew Research Center [Online]. http://www.pewinternet.org/2017/05/17/technology-use-among-seniors/.
  21. J. Ihm & Y. P. Hsieh. (2015). The Implications of Information and Communication Technology Use for The Social Well-being of Older Adults. Inf Commun Soc, 18(10), 1123-1138. DOI : 10.1080/1369118X.2015.1019912
  22. S. R. Cotten, WA. Anderson & BM. McCullough. (2013). Impact of Internet Use on Loneliness and Contact with Others Among Older Adults: Cross-sectional Analysis. J Med Internet Res, 15(2), e39. DOI : 10.2196/jmir.2306
  23. Y. Amichai-Hamburger, K. Y. McKenna & S. Tal. (2008). E-empowerment: Empowerment by The Internet. Comput Human Behav. 24(5), 1776-1789. DOI : 10.1016/j.chb.2008.02.002
  24. S. S. Kim & S. W. Ryu. (2011). Structural Relationships Among Factors to Adoption of Telehealth Service. Asia Pacific Journal of Information Systems, 1(1), 10.
  25. H. K. Kim & D. H. Shin. (2015). Domestic and Foreign Case Studies on ICT Convergence for Mental Heath Improvement and Suicide Prevention. Journal of the Korea Contents Association, 15(5), 592-606. DOI : 10.5392/JKCA.2015.15.05.592
  26. E. Y. Lee. (2018). An Ethical Consideration on the ICT based Healthcare for the elderly. The DaeDong Philosophical Association, 83, 55-83. DOI : 10.20539/deadong.2018.83.03.
  27. D. Moher, A. Liberati, J. Tetzlaff & D. G. Altman. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Journal of Clinical Epidemiology, 62(10), 1006-1012 DOI : 10.1371/journal.pmed.1000097
  28. L. Tooth, A. McCluskey, T. Hoffmann, K. McKenna & M. Lovarini. (1999). Physiotherapy Evidence Database(PEDro) scale. PEDro [Online]. http://www.pedro.org.au/english/downloads/pedro-scale/
  29. Y. J. Gschwind et al. (2015). ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial. European review of aging and physical activity, 12(1), 10. DOI : 10.1186/s11556-015-0155-6
  30. M. Dekker-van Weering, S. Jansen-Kosterink, S. Frazer & M. Vollenbroek-Hutten. (2017). User experience, actual use, and effectiveness of an information communication technology-supported home exercise program for pre-frail older adults. Frontiers in medicine, 4, 208. DOI : 10.3389/fmed.2017.00208
  31. N. Joranson, I. Pedersen, A. M. M. Rokstad & C. Ihlebaek. (2015). Effects on symptoms of agitation and depression in persons with dementia participating in robot-assisted activity: a cluster-randomized controlled trial. Journal of the American Medical Directors Association, 16(10), 867-873. DOI : 10.1016/j.jamda.2015.05.002
  32. R. F. Cook, R. K. Hersch, D. Schlossberg & S. L. Leaf. (2015). A Web-based health promotion program for older workers: randomized controlled trial. Journal of medical Internet research, 17(3), e82. DOI : 10.2196/jmir.3399
  33. S. Lim et al. (2011). Improved glycemic control without hypoglycemia in elderly diabetic patients using the ubiquitous healthcare service, a new medical information system. Diabetes care, 34(2), 308-313. DOI : 10.2337/dc10-1447
  34. J. J. Mira et al. (2014). A Spanish pillbox app for elderly patients taking multiple medications: randomized controlled trial. Journal of medical Internet research, 16(4), e99. DOI : 10.2196/jmir.3269
  35. A. T. Woodward, P. P. Freddolino, C. M. Blaschke-Thompson, D. J. Wishart, L. Bakk, R. Kobayashi & C. Tupper. (2011). Technology and aging project: training outcomes and efficacy from a randomized field trial. Ageing International, 36(1), 46-65. DOI : 10.1007/s12126-010-9074-z
  36. D. C. Grabowski & A. J. O'Malley. (2014). Use of telemedicine can reduce hospitalizations of nursing home residents and generate savings for medicare. Health Affairs, 33(2), 244-250. DOI : 10.1377/hlthaff.2013.0922
  37. S. Y. Cho, H. R. Byun, H. K. Lee & J. H. Cha. (2012). Hand Gesture Recognition from Kinect Sensor Data. The Korean Society Of Broad Engineers, 17(3), 447-458. DOI : 10.5909/JBE.2012.17.3.447
  38. K. Hariohm, V. Prakash & J. Saravankumar. (2015). Quantity and quality of randomized controlled trials published by Indian physiotherapists. Perspectives in clinical research, 6(2), 91. DOI : 10.4103/2229-3485.154007