PNF and Movement

Korea Proprioceptive Neuromuscular Facilitation Association (대한고유수용성신경근촉진법학회)
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A Survey on the Recognition of Rehabilitative Robots for Therapy and Self-Efficacy in University Students Enrolled in the Department of Physical Therapy

물리치료학과 학생들의 재활로봇에 대한 인식도와 자기효능감 조사

  • Kim, Tae-Ho (Department of Physical Therapy, Graduate School of Health Science, Eulji University) ;
  • Kim, Da-Hyeon (Department of Physical Therapy, Eulji University) ;
  • Kim, Se-Yeon (Department of Physical Therapy, Eulji University) ;
  • Park, Ha-Yeoung (Department of Physical Therapy, Eulji University) ;
  • Lee, Eun-Kyung (Department of Physical Therapy, Eulji University) ;
  • Jung, In-Seon (Department of Physical Therapy, Eulji University) ;
  • Chun, Ji-Youn (Department of Physical Therapy, Eulji University) ;
  • Kim, Min-Hee (Department of Physical Therapy, Eulji University)
  • 김태호 (을지대학교 보건대학원 물리치료학과) ;
  • 김다현 (을지대학교 물리치료학과) ;
  • 김세연 (을지대학교 물리치료학과) ;
  • 박하영 (을지대학교 물리치료학과) ;
  • 이은경 (을지대학교 물리치료학과) ;
  • 정인선 (을지대학교 물리치료학과) ;
  • 천지윤 (을지대학교 물리치료학과) ;
  • 김민희 (을지대학교 물리치료학과)
  • Received : 2021.02.02
  • Accepted : 2021.03.08
  • Published : 2021.04.30
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Abstract

Purpose: This study aimed to investigate basic data on the recognition of rehabilitation robots and self-efficacy through general characteristics of students in the department of physical therapy. Methods: This study surveyed 100 students in the Department of Physical Therapy at E University in Seongnam using Google Form, an online survey tool. The questionnaire consisted of 64 questions including 15 questions on general characteristics, 13 questions regarding recognition of rehabilitative robots, and 36 questions about self-efficacy. General self-efficacy consisted of three sub-factors: confidence, self-regulation efficacy, and task difficulty preference. Results: The recognition of rehabilitative robots according to general characteristics showed significant differences in age, level of education, and experience in searching rehabilitative robots; according to general characteristics, self-efficacy showed significant differences dependent on age and gender (p < 0.05). In addition, recognition of rehabilitation robots for students in the Department of Physical Therapy was found to have a significant effect on robot use self-efficacy (p < 0.05). Conclusion: There were significant differences in the scores of rehabilitation robot recognition and self-efficacy according to the general characteristics of students in the Department of Physical Therapy. For such reasons, it is important for students to have an opportunity to get educated on rehabilitation robots; in order to achieve this goal, domestic studies on rehabilitation robots must be actively conducted. The technological development of rehabilitation robots and the establishment of a system for domestic rehabilitation robots from both social and legal standpoints were found to be necessary based on a volume of domestic research.

Keywords

References

  1. Chun MH, Yi JH. Robotics in rehabilitation for patients with brain disease. Journal of the Korean Medical Association. 2013;53(1):27.
  2. From I, Nordstrom G, Wilde-Larsson B, et al. Caregivers in older peoples' care: Perception of quality of care, working conditions, competence and personal health. Scandinavian Journal of Caring Sciences. 2013;27(3):704-714. https://doi.org/10.1111/j.1471-6712.2012.01083.x
  3. Han HJ. The effects of self assertiveness training on the development of children's self-efficacy. Seoul National University of Education. Dissertation of Master's Degree. 2002.
  4. Hong EM. Perceptions of nurses in long-term care facilities on care robots. Ewha Womans University. Dissertation of Master's Degree. 2019.
  5. Hwang SH. A study on the relationships between occupational therapists' burn-out, professional self-concept, and self-efficacy. Journal of the Korea Academia-Industrial cooperation Society. 2012;13(4):1728-1738. https://doi.org/10.5762/KAIS.2012.13.4.1728
  6. Hwang SJ, Yoo DH. Effects of robot-assisted therapy on function of upper extremity in stroke patients. Journal of Korean Society of Community Based Occupational Therapy. 2013;3(1):34.
  7. Igbaria M, Iivari J. The effects of self-efficacy on computer usage. Omega. 1995;23(6):587-605. https://doi.org/10.1016/0305-0483(95)00035-6
  8. Kim HW. The effects of the exercise participation by the users of the sports centers on the physical self-efficacy and the psychological well-being. Kyonggi University. Dissertation of Master's Degree. 2018.
  9. Kim SH. Dynamic stability evaluation of wearable robot verification of indicators and control for balance recovery. Sejong University. Dissertation of Master's Degree. 2019.
  10. Kwon SC, Lee KJ. National rehabilitation: center current status and achievements of medical rehabilitation robot supply project. Journal of Korea Robotics Society. 2020;17(1):22-27.
  11. Latikka R, Turja T, Oksanen A. Self-efficacy and acceptance of robots. Computers in Human Behavior. 2019;93(0):157-163. https://doi.org/10.1016/j.chb.2018.12.017
  12. Lee KH. A study on the perception of new health technology, self-efficacy and professional self-concept among operating room nurses. Yonsei University. Dissertation of Master's Degree. 2009.
  13. Lee SK. The relationship between leisure sports participation and self-efficacy. Journal of sport science research. 1998;7(1):135-143.
  14. Lee SM. A survey on university students perception of rehabilitation robots: subjects to the department of occupational therapy. Journal of Korea Aging Friendly Industry Association. 2020;12(1):39-40.
  15. Lee YH. Development of a robot contents to enhance cognitive ability for the elderly with mild cognitive impairment. Dong-A University. Dissertation of Master's Degree. 2013.
  16. Oh CK, Jung AR. The relationship between college students' attachment and academic achievement: the mediating effects of self-efficacy and learning flow. Korean Journal of Youth Studies. 2015:22(12): 57-79
  17. Oh SJ. A study on the activation strategy for artificial intelligence-based robotic medical device. Sungkyunkawm University. Dissertation of Master's Degree. 2019.
  18. Park CS, Lee HS. A study on the effect of self-efficacy on stress-coping methods of health department and non-health department university students. Journal of Korean academy of physical therapy science. 2011;18(2):70.
  19. Park JW. Job-stress, self-efficacy and depression of physical and occupational therapists in nursing and rehabilitation hospitals. Kyungpook National University. Dissertation of Master's Degree. 2019.
  20. Seo SY, Kim SE. A survey of occupational therapists' recognition about rehabilitation robots. Journal of Korea Aging Friendly Industry Association. 2019;11(1):25-28.
  21. Shim JW, Byun SY. Robotic surgery center without robot: a preliminary study for ethical issues in surgical robot. Ethics Research. 2020;1(129):164.
  22. Sim MJ, Oh HS. Influence of self efficacy, learning motivation, and self-directed learning on problem-solving ability in nursing students. The Korea Contents Association. 2012;12(6) 328-337. https://doi.org/10.5392/JKCA.2012.12.06.328
  23. Song WK. 7 years of experience and implications for rehabilitation robot brokerage research. Journal of Korea Robotics Society. Robot and human. 2020;17(1):13-21.
  24. Song WK. Technology trend of rehabilitation robot. The Journal of The Korean Institute of Communication Sciences. 2016;33(8):16.
  25. Sung YJ, Yang YA. Effect of upper extremity robot training on subluxation after stroke :single subject design. The Journal of Occupational Therapy for the Aged and Dementia. 2018;12(1):55-61. https://doi.org/10.34263/jsotad.2018.12.1.55
  26. Turja T, Rantanen T, Oksanen A. Robot use self-efficacy in healthcare work (RUSH): development and validation of a new measure. AI & Society. 2019;34(1):137-143. https://doi.org/10.1007/s00146-017-0751-2
  27. Yi JS. A study on robot design for aiding elderly's outdoor movement : based on activities of daily living research. Hongik University. Dissertation of Master's Degree. 2008.
  28. Yi MY, Hwang Y. Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Hman-CmputerSudies. 2003;59(4):431-449.
  29. Yoo MH, Kim DM. The mediating effects of professional self-efficacy in the relationships between trait-anxiety and the countertransference management abilities of music therapy experts and interns. Korean Journal of Music Therapy. 2018;20(1):64-69.
  30. Yoon MY, Park GJ. The relationships between self efficacy, autonomy and professional self conception among nurses working in intensive care units. Journal of Wholistic Nursing Science. 2013;6(0):109-122.