Optimization of Upper Extremity Rehabilitation by Combining Telerehabilitation With an Exergame in People With Chronic Stroke: Protocol for a Mixed Methods Study

Dorra Rakia Allegue, Dahlia Kairy, Johanne Higgins, Philippe Archambault, Francois Michaud, William Miller, Shane Norman Sweet, Michel Tousignant, Dorra Rakia Allegue, Dahlia Kairy, Johanne Higgins, Philippe Archambault, Francois Michaud, William Miller, Shane Norman Sweet, Michel Tousignant

Abstract

Background: Exergames have the potential to provide an accessible, remote approach for poststroke upper extremity (UE) rehabilitation. However, the use of exergames without any follow-up by a health professional could lead to compensatory movements during the exercises, inadequate choice of difficulty level, exercises not being completed, and lack of motivation to pursue exercise programs, thereby decreasing their benefits. Combining telerehabilitation with exergames could allow continuous adjustment of the exercises and monitoring of the participant's completion and adherence. At present, there is limited evidence regarding the feasibility or efficacy of combining telerehabilitation and exergames for stroke rehabilitation.

Objective: This study aims to (1) determine the preliminary efficacy of using telerehabilitation combined with exergames on UE motor recovery, function, quality of life, and motivation in participants with chronic stroke, compared with conventional therapy (the graded repetitive arm supplementary program; GRASP); (2) examine the feasibility of using the technology with participants diagnosed with stroke at home; and (3) identify the obstacles and facilitators for its use by participants diagnosed with stroke and stroke therapists and understand the shared decision-making process.

Methods: A mixed methods study protocol is proposed, including a randomized, blinded feasibility trial with an embedded multiple case study. The intervention consists of the provision of a remote rehabilitation program, during which participants will use the Jintronix exergame for UE training and the Reacts Application to conduct videoconferenced sessions with the therapists (physical or occupational therapists). We plan to recruit 52 participants diagnosed with stroke, randomly assigned to a control group (n=26; 2-month on-paper home exercise program: the GRASP with no supervision) and an experimental group (n=26; 2-month home program using the technology). The primary outcome is the Fugl-Meyer UE Assessment, a performance-based measure of UE impairment. The secondary outcomes are self-reported questionnaires and include the Motor Activity Log-28 (quality and frequency of use of the UE), Stroke Impact Scale-16 (the quality of life), and Treatment Self-Regulation Questionnaire (motivation). Feasibility data include process, resources, management, and scientific outcomes. Qualitative data will be collected by interviews with both participants and therapists.

Results: At present, data collection was ongoing with one participant who had completed the exergame- telerehabilitation based intervention. We expect to collect preliminary efficacy data of this technology on the functional and motor recovery of the UE, following a stroke; collect feasibility data with users at home (adherence, safety, and technical difficulties); and identify the obstacles and facilitators for the technology use and understand the shared decision-making process.

Conclusions: This paper describes the protocol underlying the study of a telerehabilitation-exergame technology to contribute to understanding its feasibility and preliminary efficacy for UE stroke rehabilitation.

Trial registration: ClinicalTrials.gov NCT03759106; https://ichgcp.net/clinical-trials-registry/NCT03759106.

International registered report identifier (irrid): DERR1-10.2196/14629.

Keywords: motivation; rehabilitation; stroke; telerehabilitation; upper extremity; virtual reality.

Conflict of interest statement

Conflicts of Interest: None declared.

©Dorra Rakia Allegue, Dahlia Kairy, Johanne Higgins, Philippe Archambault, Francois Michaud, William Miller, Shane Norman Sweet, Michel Tousignant. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 21.05.2020.

Figures

Figure 1
Figure 1
Description of the outcome measurement time. GRASP: Graded Repetitive Arm Supplementary Program; VirTele: program that combines virtual reality exergame and telerehabilitation application.

References

    1. Nichols-Larsen DS, Clark PC, Zeringue A, Greenspan A, Blanton S. Factors influencing stroke survivors' quality of life during subacute recovery. Stroke. 2005 Jul;36(7):1480–4. doi: 10.1161/01.STR.0000170706.13595.4f.
    1. Casaubon LK, Boulanger J, Glasser E, Blacquiere D, Boucher S, Brown K, Goddard T, Gordon J, Horton M, Lalonde J, LaRivière C, Lavoie P, Leslie P, McNeill J, Menon BK, Moses B, Penn M, Perry J, Snieder E, Tymianski D, Foley N, Smith EE, Gubitz G, Hill MD, Lindsay P, Heart and Stroke Foundation of Canada Canadian Stroke Best Practices Advisory Committee Canadian stroke best practice recommendations: acute inpatient stroke care guidelines, update 2015. Int J Stroke. 2016 Feb;11(2):239–52. doi: 10.1177/1747493015622461.
    1. Lindsay M, Bayley M, Hellings C, Hill M, Woodbury E, Phillips S. Canadian best practice recommendations for stroke care (updated 2008) Can Med Assoc J. 2008 Dec 2;179(12):S1–25. doi: 10.1503/cmaj.081148.r2.
    1. Weiss PL, Keshner EA, Levin MF. Virtual Reality for Physical and Motor Rehabilitation. New York, NY: Springer; 2014.
    1. Harris JE, Eng JJ, Miller WC, Dawson AS. A self-administered Graded Repetitive Arm Supplementary Program (GRASP) improves arm function during inpatient stroke rehabilitation: a multi-site randomized controlled trial. Stroke. 2009 Jun;40(6):2123–8. doi: 10.1161/STROKEAHA.108.544585.
    1. Laver KE, Lange B, George S, Deutsch JE, Saposnik G, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2017 Nov 20;11:CD008349. doi: 10.1002/14651858.CD008349.pub4.
    1. McCabe J, Monkiewicz M, Holcomb J, Pundik S, Daly JJ. Comparison of robotics, functional electrical stimulation, and motor learning methods for treatment of persistent upper extremity dysfunction after stroke: a randomized controlled trial. Arch Phys Med Rehabil. 2015 Jun;96(6):981–90. doi: 10.1016/j.apmr.2014.10.022.
    1. Ward NS, Brander F, Kelly K. Intensive upper limb neurorehabilitation in chronic stroke: outcomes from the Queen Square programme. J Neurol Neurosurg Psychiatry. 2019 May;90(5):498–506. doi: 10.1136/jnnp-2018-319954.
    1. Subramanian SK, Lourenço CB, Chilingaryan G, Sveistrup H, Levin MF. Arm motor recovery using a virtual reality intervention in chronic stroke: randomized control trial. Neurorehabil Neural Repair. 2013 Jan;27(1):13–23. doi: 10.1177/1545968312449695.
    1. Jintronix. [2018-12-03].
    1. Blacquiere D, Lindsay MP, Foley N, Taralson C, Alcock S, Balg C, Bhogal S, Cole J, Eustace M, Gallagher P, Ghanem A, Hoechsmann A, Hunter G, Khan K, Marrero A, Moses B, Rayner K, Samis A, Smitko E, Vibe M, Gubitz G, Dowlatshahi D, Phillips S, Silver FL, Heart and Stroke Foundation Canadian Stroke Best Practice Committees Canadian stroke best practice recommendations: telestroke best practice guidelines update 2017. Int J Stroke. 2017 Oct;12(8):886–95. doi: 10.1177/1747493017706239.
    1. Cikajlo I, Rudolf M, Goljar N, Burger H, Matjačić Z. Telerehabilitation using virtual reality task can improve balance in patients with stroke. Disabil Rehabil. 2012;34(1):13–8. doi: 10.3109/09638288.2011.583308.
    1. Whitehead AL, Sully BG, Campbell MJ. Pilot and feasibility studies: is there a difference from each other and from a randomised controlled trial? Contemp Clin Trials. 2014 May;38(1):130–3. doi: 10.1016/j.cct.2014.04.001.
    1. Bowen DJ, Kreuter M, Spring B, Cofta-Woerpel L, Linnan L, Weiner D, Bakken S, Kaplan CP, Squiers L, Fabrizio C, Fernandez M. How we design feasibility studies. Am J Prev Med. 2009 May;36(5):452–7. doi: 10.1016/j.amepre.2009.02.002.
    1. Parry R. Chedoke-McMaster stroke assessment — development, validation and administration manual. Physiother. 1996;82(3):211. doi: 10.1016/s0031-9406(05)66939-8.
    1. G*Power: Statistical Power Analyses for Windows and Mac. [2019-05-03]. .
    1. Pang MY, Harris JE, Eng JJ. A community-based upper-extremity group exercise program improves motor function and performance of functional activities in chronic stroke: a randomized controlled trial. Arch Phys Med Rehabil. 2006 Jan;87(1):1–9. doi: 10.1016/j.apmr.2005.08.113.
    1. Julious SA. Sample size of 12 per group rule of thumb for a pilot study. Pharm Stat. 2005 Oct;4(4):287–91. doi: 10.1002/pst.185.
    1. Fortin MF, Gagnon J. Foundations and Stages of the Research Process: Quantitative and Qualitative Methods. Second Edition. Book in French. Fondements et étapes du processus de recherche: méthodes quantitatives et qualitatives 2e éd. Montréal: Chenelière éducation; 2010.
    1. IIT Reacts. [2018-09-18].
    1. Vansteenkiste M, Niemiec C, Soenens B. The development of the five mini-theories of self-determination theory: an historical overview, emerging trends, and future directions. In: Urdan T, Karabenick S, editors. The Decade Ahead: Theoretical Perspectives on Motivation and Achievement. Bingley: Emerald Group Publishing Limited; 2010. pp. 105–65.
    1. Sweet SN, Rocchi M, Arbour-Nicitopoulos K, Kairy D, Fillion B. A telerehabilitation approach to enhance quality of life through exercise among adults with paraplegia: study protocol. JMIR Res Protoc. 2017 Oct 19;6(10):e202. doi: 10.2196/resprot.8047.
    1. Deci EL, Ryan RM. The 'What' and 'Why' of goal pursuits: human needs and the self-determination of behavior. Psychol Inq. 2000;11(4):227–68. doi: 10.1207/s15327965pli1104_01.
    1. Miller WR, Rollnick S. Motivational Interviewing: Helping People Change. Third Edition. New York, NY: The Guilford Press; 2012.
    1. Page SJ, Hade E, Persch A. Psychometrics of the wrist stability and hand mobility subscales of the Fugl-Meyer assessment in moderately impaired stroke. Phys Ther. 2015 Jan;95(1):103–8. doi: 10.2522/ptj.20130235.
    1. Singer B, Garcia-Vega J. The Fugl-Meyer upper extremity scale. J Physiother. 2017 Jan;63(1):53. doi: 10.1016/j.jphys.2016.08.010.
    1. Lang CE, Edwards DF, Birkenmeier RL, Dromerick AW. Estimating minimal clinically important differences of upper-extremity measures early after stroke. Arch Phys Med Rehabil. 2008 Sep;89(9):1693–700. doi: 10.1016/j.apmr.2008.02.022.
    1. van der Lee JH, Beckerman H, Knol DL, de Vet HC, Bouter LM. Clinimetric properties of the motor activity log for the assessment of arm use in hemiparetic patients. Stroke. 2004 Jun;35(6):1410–4. doi: 10.1161/01.STR.0000126900.24964.7e.
    1. Chou C, Ou Y, Chiang T. Psychometric comparisons of four disease-specific health-related quality of life measures for stroke survivors. Clin Rehabil. 2015 Aug;29(8):816–29. doi: 10.1177/0269215514555137.
    1. Fulk GD, Ludwig M, Dunning K, Golden S, Boyne P, West T. How much change in the stroke impact scale-16 is important to people who have experienced a stroke? Top Stroke Rehabil. 2010;17(6):477–83. doi: 10.1310/tsr1706-477.
    1. Levesque CS, Williams GC, Elliot D, Pickering MA, Bodenhamer B, Finley PJ. Validating the theoretical structure of the Treatment Self-Regulation Questionnaire (TSRQ) across three different health behaviors. Health Educ Res. 2007 Oct;22(5):691–702. doi: 10.1093/her/cyl148.
    1. Uswatte G, Taub E, Morris D, Light K, Thompson PA. The Motor Activity Log-28: assessing daily use of the hemiparetic arm after stroke. Neurology. 2006 Oct 10;67(7):1189–94. doi: 10.1212/01.wnl.0000238164.90657.c2.
    1. Edwards B, O'Connell B. Internal consistency and validity of the Stroke Impact Scale 2.0 (SIS 2.0) and SIS-16 in an Australian sample. Qual Life Res. 2003 Dec;12(8):1127–35. doi: 10.1023/a:1026109920478.
    1. Chan DK, Lonsdale C, Ho PY, Yung PS, Chan KM. Patient motivation and adherence to postsurgery rehabilitation exercise recommendations: the influence of physiotherapists' autonomy-supportive behaviors. Arch Phys Med Rehabil. 2009 Dec;90(12):1977–82. doi: 10.1016/j.apmr.2009.05.024.
    1. Thabane L, Ma J, Chu R, Cheng J, Ismaila A, Rios LP, Robson R, Thabane M, Giangregorio L, Goldsmith CH. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol. 2010 Jan 6;10:1. doi: 10.1186/1471-2288-10-1.
    1. Davis FD. Perceived Usefulness, Perceived ease of use, and user acceptance of information technology. Manag Inf Syst Q. 1989 Sep;13(3):319–40. doi: 10.2307/249008.
    1. Gremigni P, Sommaruga M, Peltenburg M. Validation of the Health Care Communication Questionnaire (HCCQ) to measure outpatients' experience of communication with hospital staff. Patient Educ Couns. 2008 Apr;71(1):57–64. doi: 10.1016/j.pec.2007.12.008.
    1. Williams MD, Rana NP, Dwivedi YK. The unified theory of acceptance and use of technology (UTAUT): a literature review. J Enterp Inf Manag. 2015 Apr;28(3):443–88. doi: 10.1108/JEIM-09-2014-0088.
    1. Guba EG, Lincoln YS. Naturalistic Inquiry. Beverly Hills, Calif: SAGE Publications; 1985.
    1. Allegue DR, Kairy D, Higgins J, Archambault P, Michaud F, Miller W, Sweet S, Tousignant M. Remote Rehabilitation Training Using the Combination of an Exergame and Telerehabilitation Application: A Case Report of an Elderly Chronic Stroke Survivor. Proceedings of the 2019 International Conference on Virtual Rehabilitation; ICVR'19; July 21-24, 2019; Tel Aviv, Israël. 2019.
    1. Levy R. Reflection on Public Health Research: From Metaphors to the Rescue. Article in French. Réflexion sur la recherche en santé publique:des métaphores à la rescousse. Ruptures. 1997;4(1):35–44.
    1. Albright K, Gechter K, Kempe A. Importance of mixed methods in pragmatic trials and dissemination and implementation research. Acad Pediatr. 2013;13(5):400–7. doi: 10.1016/j.acap.2013.06.010.

Source: PubMed

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