Clinical feasibility of the Nintendo Wii™ for balance training post-stroke: A phase II randomized controlled trial in an inpatient setting

Clinical Rehabilitation

Volumn 28, Issue 9, 2014, Pages 912-923

  Bower, Kelly J ^a,b   Clark, Ross A ^b,c   McGinley, Jennifer L ^b   Martin, Clarissa L ^d   Miller, Kimberly J ^b,e  

^a MELBOURNE HEALTH   (Australia)

^b THE UNIVERSITY OF MELBOURNE   (Australia)

^c AUSTRALIAN CATHOLIC UNIVERSITY   (Australia)

^d MONASH UNIVERSITY   (Australia)

^e UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Nintendo Wii ; postural balance; rehabilitation; Stroke; video games

Indexed keywords

ANALYSIS OF VARIANCE; AUSTRALIA; BODY EQUILIBRIUM; CLINICAL TRIAL; COMPLICATION; CONTROLLED STUDY; DEVICES; FEASIBILITY STUDY; FEMALE; HOSPITAL PATIENT; HUMAN; KINESIOTHERAPY; MALE; MIDDLE AGED; PHASE 2 CLINICAL TRIAL; PROCEDURES; RANDOMIZED CONTROLLED TRIAL; RECREATION; SENSATION DISORDERS; STROKE; TIME; TREATMENT OUTCOME;

ANALYSIS OF VARIANCE; EXERCISE THERAPY; FEASIBILITY STUDIES; FEMALE; HUMANS; INPATIENTS; MALE; MIDDLE AGED; POSTURAL BALANCE; SENSATION DISORDERS; STROKE; TIME FACTORS; TREATMENT OUTCOME; VICTORIA; VIDEO GAMES;

EID: 84906707568     PISSN: 02692155     EISSN: 14770873     Source Type: Journal    
DOI: 10.1177/0269215514527597     Document Type: Article

References (30)

1. Geurts ACH, De Haart M, Van Nes IJW, et al. A review of standing balance recovery from stroke. Gait Posture. 2005 ; 22: 267-281
2. Batchelor FA, Mackintosh SF, Said CM, et al. Falls after stroke. Int J Stroke. 2012 ; 7: 482-490
3. Pollock A, Baer G, Pomeroy V, et al. Physiotherapy treatment approaches for the recovery of postural control and lower limb function following stroke. Cochrane Database Syst Rev. 2007 ;:
4. Taylor MJD, McCormick D, Shawis T, et al. Activity-promoting gaming systems in exercise and rehabilitation. J Rehabil Res Dev. 2011 ; 48: 1171-1186
5. Esculier JF, Vaudrin J, Bériault P, et al. Home-based balance training programme using Wii Fit with balance board for Parkinson's disease: a pilot study. J Rehabil Med. 2012 ; 44: 144-150
6. Nilsagård YE, Forsberg AS, Von Koch L. Balance exercise for persons with multiple sclerosis using Wii games: a randomised, controlled multi-centre study. Mult Scler. 2013 ; 19: 209-216
7. Agmon M, Perry CK, Phelan E, et al. A pilot study of Wii Fit exergames to improve balance in older adults. J Geriatr Phys Ther. 2011 ; 34: 161-167
8. Williams MA, Soiza RL, Jenkinson AM, et al. EXercising with Computers in Later Life (EXCELL) - Pilot and feasibility study of the acceptability of the Nintendo WiiFit in community-dwelling fallers. BMC Res Notes. 2010 ; 3: 238-245
9. Mouawad MR, Doust CG, Max MD, et al. Wii-based movement therapy to promote improved upper extremity function post-stroke: a pilot study. J Rehabil Med. 2011 ; 43: 527-533
10. Joo LY, Yin TS, Xu D, et al. A feasibility study using interactive commercial off-the-shelf computer gaming in upper limb rehabilitation in patients after stroke. J Rehabil Med. 2010 ; 42: 437-441
11. Saposnik G, Teasell R, Mamdani M, et al. Effectiveness of virtual reality using Wii gaming technology in stroke rehabilitation: a pilot randomized clinical trial and proof of principle. Stroke. 2010 ; 41: 1477-1484
12. Barcala L, Grecco LAC, Colella F, et al. Visual biofeedback balance training using Wii Fit after stroke: a randomized controlled trial. J Phys Ther Sci. 2013 ; 25: 1027-1032
13. Cho KH, Lee KJ, Song CH. Virtual-reality balance training with a video-game system improves dynamic balance in chronic stroke patients. Tohoku J Exp Med. 2012 ; 228: 69-74
14. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. Int J Surg. 2012 ; 10: 28-55
15. Thabane L, Ma J, Chu R, et al. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol. 2010 ;: 1
16. Bower K, Clark R, McGinley J, et al. Feasibility and efficacy of the Nintendo Wii gaming system to improve balance performance post-stroke: protocol of a phase II randomized controlled trial in an inpatient rehabilitation setting. Games Health J. 2013 ; 2: 103-108
17. Ahmed S, Mayo NE, Higgins J, et al. The Stroke Rehabilitation Assessment of Movement (STREAM): a comparison with other measures used to evaluate effects of stroke and rehabilitation. Phys Ther. 2003 ; 83: 617-630
18. Dobkin BH. Progressive staging of pilot studies to improve phase III trials for motor interventions. Neurorehabil Neural Repair. 2009 ; 23: 197-206
19. Hawker GA, Mian S, Kendzerska T, et al. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis Care Res. 2011 ; 63: S240 - S252
20. Tseng BY, Gajewski BJ, Kluding PM. Reliability, responsiveness, and validity of the Visual Analog Fatigue Scale to measure exertion fatigue in people with chronic stroke: a preliminary study. Stroke Res Treat. 2010 ;:
21. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982 ; 14: 377-381
22. Hill KD, Bernhardt J, McGann AM, et al. A new test of dynamic standing balance for stroke patients: reliability, validity and comparison with healthy elderly. Physiother Can. 1996 ; 48: 257-262
23. Duncan PW, Weiner DK, Chandler J, et al. Functional reach: a new clinical measure of balance. J Gerontol. 1990 ; 45: M192-197
24. Podsiadlo D, Richardson S. The timed "Up and Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991 ; 39: 142-148
25. Clark RA, Bryant AL, Pua Y, et al. Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance. Gait Posture. 2010 ; 31: 307-310
26. Kempen G, Yardley L, van Haastregt JCM, et al. The Short FES-I: a shortened version of the Falls Efficacy Scale-International to assess fear of falling. Age Ageing. 2008 ; 37: 45-50
27. Miller KJ, Slade AL, Pallant JF, et al. Evaluation of the psychometric properties of the upper limb subscales of the motor assessment scale using a Rasch analysis model. J Rehabil Med. 2010 ; 42: 315-322
28. Peng W, Crouse JC, Lin JH. Using active video games for physical activity promotion: a systematic review of the current state of research. Health Educ Behav. 2013 ; 40: 171-192
29. Tyson SF, Connell LA. How to measure balance in clinical practice. A systematic review of the psychometrics and clinical utility of measures of balance activity for neurological conditions. Clin Rehabil. 2009 ; 23: 824-840
30. Kwakkel G, Van Peppen R, Wagenaar RC, et al. Effects of augmented exercise therapy time after stroke: a meta-analysis. Stroke. 2004 ; 35: 2529-2536