Brain Neurorehabil.  2013 Mar;6(1):33-40. 10.12786/bn.2013.6.1.33.

The Use of Smartphone Applications in Stroke Rehabilitation in Korea

Affiliations
  • 1Department of Rehabilitation Medicine, Eulji Hospital, Eulji University School of Medicine, Korea. md52516@hanmail.net

Abstract


OBJECTIVE
We studied the use of smartphone technology in stroke rehabilitation in Korea and gathered opinions on how it would best be utilized it in a clinical setting. METHOD: Physiatrists, occupational therapists, physical therapists, and rehabilitation ward nurses were surveyed to examine smartphone propagation among the rehabilitation team, current therapeutic knowledge, the use of smartphone technology, and perceptions regarding the potential therapeutic use of smartphones in rehabilitation. The respondents were also asked to specify the applications considered to be the most appropriate for rehabilitation. We also examined applications available for stroke rehabilitation at Android and Apple stores.
RESULTS
Of the respondents, 92% had never using smartphone technology in rehabilitation with their clients. The greatest barrier to use was that "smartphone technology and appropriate applications were not available for rehabilitation settings" (71.4%). Areas identified as most appropriate for smartphone use in therapy included provision of information (82.4%) and cognitive (72.5%) and language training (68.1%). We found only a few applications in android and Apple application stores. Of the respondents, 89% intended to use smartphone applications in rehabilitation in the future.
CONCLUSION
Smartphone applications developed for stroke rehabilitation are promising. Further research and the development of new therapeutic applications for use in rehabilitation and across health care are needed.

Keyword

application; mobile devices; rehabilitation; smartphone; stroke

MeSH Terms

Surveys and Questionnaires
Delivery of Health Care
Humans
Korea
Language Therapy
Physical Therapists
Stroke
Smartphone

Figure

  • Fig. 1 Types of applications considered most appropriate in the field of stroke rehabilitation. Areas identified as most appropriate (measured as a score of 4 or more on the 5-point NRS) for smartphone use in therapy included providing information (82.4%) followed by cognitive training (72.5%) and language training (68.1%). Respondents were not confident in using it in the fields of ADL re-training (45.1%) and motor training (45.1%). NRS: Numeric rating scale (5: Extremely, 4: Very, 3: Moderately, 2: Slightly, 1: Not at all).

  • Fig. 2 Applications currently available in the field of stroke rehabilitation in Korea.


Reference

1. Busis N. Mobile phones to improve the practice of neurology. Neurol Clin. 2010. 28:395–410.
2. Nam HS, Cha MJ, Kim YD, Kim EH, Park E, Lee HS, Nam CM, Heo JH. Use of a handheld, computerized device as a decision support tool for stroke classification. Eur J Neurol. 2012. 19:426–430.
3. Shin S, Park E, Lee DH, Lee KJ, Heo JH, Nam HS. An objective pronator drift test application (iPronator) using handheld device. PLoS One. 2012. 7:e41544.
4. Demaerschalk BM, Miley ML, Kiernan TE, Bobrow BJ, Corday DA, Wellik KE, Aguilar MI, Ingall TJ, Dodick DW, Brazdys K, Koch TC, Ward MP, Richemont PC, Coinvestigators S. Stroke telemedicine. Mayo Clin Proc. 2009. 84:53–64.
5. Demaerschalk BM, Vargas JE, Channer DD, Noble BN, Kiernan TE, Gleason EA, Vargas BB, Ingall TJ, Aguilar MI, Dodick DW, Bobrow BJ. Smartphone teleradiology application is successfully incorporated into a telestroke network environment. Stroke. 2012. 43:3098–3101.
6. Takao H, Murayama Y, Ishibashi T, Karagiozov KL, Abe T. A new support system using a mobile device (smartphone) for diagnostic image display and treatment of stroke. Stroke. 2012. 43:236–239.
7. Anderson ER, Smith B, Ido M, Frankel M. Remote assessment of stroke using the iPhone 4. 2011. Accessed November 2, 2011. J Stroke Cerebrovasc Dis;Available at: http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2011.09.013published online ahead of print October 21, 2011.
8. Gonzalez MA, Hanna N, Rodrigo ME, Satler LF, Waksman R. Reliability of prehospital real-time cellular video phone in assessing the simplified National Institutes Of Health Stroke Scale in patients with acute stroke: a novel telemedicine technology. Stroke. 2011. 42:1522–1527.
9. Lee BC, Kim J, Chen S, Sienko KH. Cell phone based balance trainer. J Neuroeng Rehabil. 2012. 9:10.
10. Lee MH, Kim J, Jee SH, Yoo SK. Integrated solution for physical activity monitoring based on mobile phone and PC. Healthc Inform Res. 2011. 17:76–86.
11. Lang CE, Macdonald JR, Reisman DS, Boyd L, Jacobson Kimberley T, Schindler-Ivens SM, Hornby TG, Ross SA, Scheets PL. Observation of amounts of movement practice provided during stroke rehabilitation. Arch Phys Med Rehabil. 2009. 90:1692–1698.
12. Oujamaa L, Relave I, Froger J, Mottet D, Pelissier JY. Rehabilitation of arm function after stroke. Literature review. Ann Phys Rehabil Med. 2009. 52:269–293.
13. Hsieh YW, Wu CY, Lin KC, Yao G, Wu KY, Chang YJ. Dose-response relationship of robot-assisted stroke motor rehabilitation: the impact of initial motor status. Stroke. 2012. 43:2729–2734.
14. Mellone S, Tacconi C, Chiari L. Validity of a smartphonebased instrumented timed up and go. Gait Posture. 2012. 36:163–165.
15. Yamada M, Aoyama T, Mori S, Nishiguchi S, Okamoto K, Ito T, Muto S, Ishihara T, Yoshitomi H, Ito H. Objective assessment of abnormal gait in patients with rheumatoid arthritis using a smartphone. Rheumatol Int. 2012. 32:3869–3874.
16. Nishiguchi S, Yamada M, Nagai K, Mori S, Kajiwara Y, Sonoda T, Yoshimura K, Yoshitomi H, Ito H, Okamoto K, Ito T, Muto S, Ishihara T, Aoyama T. Reliability and validity of gait analysis by android-based smartphone. Telemed J E Health. 2012. 18:292–296.
17. Izatt MTM, Bateman GRM, Adam CJAP. Evaluation of the iPhone with an acrylic sleeve versus the Scoliometer for rib hump measurement in scoliosis. Scoliosis. 2012. 7:14.
18. Shin SH, Ro DH, Lee OS, Oh JH, Kim SH. Within-day reliability of shoulder range of motion measurement with a smartphone. Man Ther. 2012. 17:298–304.
19. Michie S, Abraham C, Whittington C, McAteer J, Gupta S. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol. 2009. 28:690–701.
20. Boulos MN, Wheeler S, Tavares C, Jones R. How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed Eng Online. 2011. 10:24.
Full Text Links
  • BN
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr