The Journal of Korean Physical Therapy

The Korean Society of Physical Therapy (대한물리치료학회)
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The Survey of Recognition about Rehabilitative Robots for Treatmentin Physical Therapists

  • Kim, Hyosuk (Department of Physical Therapy, Graduate School of Health Science, Eulji University) ;
  • Kang, Dong Jin (Department of Physical Therapy, College of Health Science, Eulji University) ;
  • Kim, Deok Hyen (Department of Physical Therapy, College of Health Science, Eulji University) ;
  • Park, Seo Jeong (Department of Physical Therapy, College of Health Science, Eulji University) ;
  • Lee, Seong Yong (Department of Physical Therapy, College of Health Science, Eulji University) ;
  • Lee, Jeong Min (Department of Physical Therapy, College of Health Science, Eulji University) ;
  • Jo, Seung Yeon (Department of Physical Therapy, College of Health Science, Eulji University) ;
  • Choi, Bo Ram (Department of Physical Therapy, College of Health Science, Eulji University) ;
  • Kim, Minhee (Department of Physical Therapy, College of Health Science, Eulji University)
  • Received : 2021.03.09
  • Accepted : 2021.04.12
  • Published : 2021.04.30
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Abstract

Purpose: This study examined the recognition of rehabilitative robots for treatment in physical therapists. Methods: This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. Results: The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. Conclusion: Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

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References

  1. Kim KB, Han KH. A study of the digital healthcare industry in the fourth industrial revolution. JCIT. 2020;10(3):7-15.
  2. Krebs HI, Volpe BT. Rehabilitation robotics. Handb Clin Neurol. 2013; 110:283-94.
  3. Laut J, Porfiri M, Raghavan P. The present and future of robotic technology in rehabilitation. Curr Phys Med Rehabil Rep. 2016;4(4):312-9. https://doi.org/10.1007/s40141-016-0139-0
  4. Molteni F, Gasperini G, Cannaviello G et al. Exoskeleton and end-effector robots for upper and lower limbs rehabilitation: narrative review. PM&R. 2018;10(9):S174-88. https://doi.org/10.1016/j.pmrj.2018.06.005
  5. Kim JS, Park SW, Lee YS et al. Clinical outcomes of robot-assisted arm rehabilitation in stroke patients. Brain Neurorehabil. 2015;8(1):46-52. https://doi.org/10.12786/bn.2015.8.1.46
  6. Seo HG, Beom JW, Oh BM et al. Effects of robot-assisted upper limb training on hemiplegic patients. Brain Neurorehabil. 2014;7(1):39-47. https://doi.org/10.12786/bn.2014.7.1.39
  7. Song JH, Oh MK, Sim EJ et al. A systematic review on the present condition of the internal robot therapy. JKCBOT. 2016;6(1):49-60.
  8. Butler DP, Willett K. Wii-habilitation: Is there a role in trauma? Injury. 2010;41(9):883-5. https://doi.org/10.1016/j.injury.2010.03.024
  9. Jack D, Boian R, Merians AS et al. Virtual reality-enhanced stroke rehabilitation. IEEE Trans Neural Syst Rehabilitation Eng. 2001;9(3):308-18.
  10. Hwang SJ, Yoo DH. Effects of robot-assisted therapy on function of upper extremity in stroke patients. JKCBOT. 2013;3(1):34.
  11. Park SY. The effects of robot-assisted gait training for the patient with post stroke: a meta-analysis. Phys Ther Korea. 2015;22(2):35.
  12. 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.
  13. Jung AS. A study on the relations between a health promoting behaviors and self-efficacy in general hospital nurse. Hanyang University. Dissertation of Master's Degree. 2007.
  14. Ko HJ. Perception and environmental support related to implementing evidence-based practice (EBP) among occupational and physical therapists. Dongsin University. Dissertation of Master's Degree. 2014.
  15. Seo SY, Kim SE. A survey of occupational therapists' recognition about rehabilitation robots. KAFA 2019;11(1):25-8.
  16. Gassert R, Dietz V. Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective. J Neuroeng Rehabil. 2018; 15(1):46. https://doi.org/10.1186/s12984-018-0383-x
  17. Song WK. Trends in rehabilitation robots and their translational research in national rehabilitation center, Korea. Biomed Eng Lett. 2016; 6(1):1-9. https://doi.org/10.1007/s13534-016-0211-9
  18. Nourbakhsh I.R, Hamner E, Crowley K et al. Formal measures of learning in a secondary school mobile robotics course. IEEE Int Conf Robot Autom. 2004;2:1831-6.
  19. McDermott H, Choudhury N, Lewin-Runacres M et al. Gender differences in understanding and acceptance of robot-assisted surgery. J Robot Surg. 2020;14(1):227-32. https://doi.org/10.1007/s11701-019-00960-z
  20. Lee SM. A survey on university students perception of rehabilitation robots: subjects to the department of occupational therapy. KAFA. 2020; 12(1):39-40.
  21. 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.
  22. Lee EM, Ahn SM. Comparison of factors affecting job stress and satisfaction of medical technician: focus on Incheon area. J Radiol Sci Technol. 2018;41(6):627-35.
  23. Shim JH, Yoon TH. Analysis of factors that Influence the job satisfaction of physical therapists. J Kor Soc Phys Ther. 2011;23(1):67-75.
  24. Liu D, Cheng G, An AL et al. Public knowledge about dementia in china: a national wechat-based survey. Int J Environ Res Public Health. 2019;16 (21):4231. https://doi.org/10.3390/ijerph16214231