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Published on in Vol 9, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33745, first published .
Rehabilitation of Upper Extremity by Telerehabilitation Combined With Exergames in Survivors of Chronic Stroke: Preliminary Findings From a Feasibility Clinical Trial

Rehabilitation of Upper Extremity by Telerehabilitation Combined With Exergames in Survivors of Chronic Stroke: Preliminary Findings From a Feasibility Clinical Trial

Rehabilitation of Upper Extremity by Telerehabilitation Combined With Exergames in Survivors of Chronic Stroke: Preliminary Findings From a Feasibility Clinical Trial

Authors of this article:

Dorra Rakia Allegue1, 2, 3 Author Orcid Image ;   Johanne Higgins1, 2 Author Orcid Image ;   Shane N Sweet2, 4 Author Orcid Image ;   Philippe S Archambault2, 5 Author Orcid Image ;   Francois Michaud6 Author Orcid Image ;   William Miller7 Author Orcid Image ;   Michel Tousignant8, 9 Author Orcid Image ;   Dahlia Kairy1, 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

    Original Paper

    1School of Rehabilitation, Université de Montréal, Montreal, QC, Canada

    2The Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Institut universitaire sur la réadaptation en déficience physique de Montréal, Montreal, QC, Canada

    3Mission Universitaire de Tunisie, Montreal, QC, Canada

    4Department of Kinesiology and Physical Education, McGill University, Montreal, QC, Canada

    5School of Physical & Occupational Therapy, McGill University, Montreal, QC, Canada

    6Department of Electrical Engineering and Computer Engineering, Université de Sherbrooke, Sherbrooke, QC, Canada

    7Department of Occupational Science & Occupational Therapy, University of British Columbia, Vancouver, BC, Canada

    8Faculty of Medicine and Health Sciences, School of Rehabilitation, Université de Sherbrooke, Sherbrooke, QC, Canada

    9Center of research on Aging, Sherbrooke, QC, Canada

    *all authors contributed equally

    Corresponding Author:

    Dorra Rakia Allegue, PhD

    The Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal

    Institut universitaire sur la réadaptation en déficience physique de Montréal

    6363 Chem. Hudson

    Montreal, QC, H3S 1M9

    Canada

    Phone: 1 4389901309

    Email: dorra.rakia.allegue@umontreal.ca


    Background: Exergames are increasingly being used among survivors of stroke with chronic upper extremity (UE) sequelae to continue exercising at home after discharge and maintain activity levels. The use of virtual reality exergames combined with a telerehabilitation app (VirTele) may be an interesting alternative to rehabilitate the UE sequelae in survivors of chronic stroke while allowing for ongoing monitoring with a clinician.

    Objective: This study aimed to determine the feasibility of using VirTele in survivors of chronic stroke at home and explore the impact of VirTele on UE motor function, quantity and quality of use, quality of life, and motivation in survivors of chronic stroke compared with conventional therapy.

    Methods: This study was a 2-arm feasibility clinical trial. Eligible participants were randomly allocated to an experimental group (receiving VirTele for 8 weeks) or a control group (receiving conventional therapy for 8 weeks). Feasibility was measured from the exergame and intervention logs completed by the clinician. Outcome measurements included the Fugl-Meyer Assessment-UE, Motor Activity Log-30, Stroke Impact Scale-16, and Treatment Self-Regulation Questionnaire-15, which were administered to both groups at four time points: time point 1 (T1; before starting the intervention), time point 2 (after the intervention), time point 3 (1 month after the intervention), and time point 4 (T4; 2 months after the intervention).

    Results: A total of 11 survivors of stroke were randomized and allocated to an experimental or a control group. At the onset of the COVID-19 pandemic, participants pursued the allocated treatment for 3 months instead of 8 weeks. VirTele intervention dose was captured in terms of time spent on exergames, frequency of use of exergames, total number of successful repetitions, and frequency of videoconference sessions. Technical issues included the loss of passwords, internet issues, updates of the system, and problems with the avatar. Overall, most survivors of stroke found the technology easy to use and useful, except for 9% (1/11) of participants. For the Fugl-Meyer Assessment-UE and Motor Activity Log-30, both groups exhibited an improvement in >50% of the participants, which was maintained over time (from time point 3 to T4). Regarding Stroke Impact Scale-16 scores, the control group reported improvement in activities of daily life (3/5, 60%), hand function (5/5, 100%), and mobility (2/5, 40%), whereas the experimental group reported varied and inconclusive results (from T1 to T4). For the Treatment Self-Regulation Questionnaire-15, 75% (3/4) of the experimental group demonstrated an increase in the autonomous motivation score (from T1 to time point 2), whereas, in the control group, this improvement was observed in only 9% (1/11) of participants.

    Conclusions: The VirTele intervention constitutes another therapeutic alternative, in addition to conventional therapy, to deliver an intense personalized rehabilitation program for survivors of chronic stroke with UE sequelae.

    International Registered Report Identifier (IRRID): RR2-10.2196/14629

    JMIR Rehabil Assist Technol 2022;9(2):e33745

    doi:10.2196/33745

    Keywords

    stroke; rehabilitation; virtual reality; video games; telerehabilitation; upper extremity; motivation; mHealth; mobile health; personalized care; stroke rehabilitation 


    Background

    Many survivors of stroke experience sequelae in the upper extremity (UE; eg, weakness, loss of coordination, and nonuse syndrome) [1], which may affect activities of daily living in the long term [2]. Exergames are increasingly being used among survivors of stroke for different functional skills (eg, physical activity, UE exercises, mobility, and balance) in various practice settings (eg, rehabilitation centers, hospitals, clinics, community health centers, and homes) [3]. Given the chronic nature of stroke, exergames present a relevant solution to continue exercising at home after discharge to maintain physical function and activity levels.

    Exergames: Types and Efficacy

    Two main types of exergames have been described in the literature: commercially available off-the-shelf systems and customized systems [4,5]. Commercially available off-the-shelf systems, such as Nintendo Wii [6], Sony Playstation EyeToy games [7], Xbox 360 Kinect [8], and new technologies (the Xbox Series X [9] and Xbox one X [10]) present simple solutions for real-time video capture at a low cost (Xbox 360 costs US $250) [11], which encourages their adoption in clinical studies, especially when home interventions are considered [5].

    Customized systems are generally designed through research and use cutting-edge technology to create a virtual environment, such as the Computer Assisted Rehabilitation Environment (Motek) [12] or the Interactive Rehabilitation Exercise (IREX; Gesture Tek) System 2D [13]. Compared with commercially available off-the-shelf systems, these technologies offer personalized game settings (speed, range of movement, and number of repetitions). Indeed, environments of customized exergames offer conditions of practice similar to those of the physical world, allowing task-specific activities (eg, in IREX, placing boxes on different shelves, catching a ball instead of a soccer goalkeeper, and juggling balls) and mass repetition of the movement, which may promote neuroplasticity [14].

    Although customized exergames can be expensive (eg, the price of the IREX system can cost >US $15,000) and accessible only through specialized rehabilitation centers (eg, the Computer Assisted Rehabilitation Environment requires a large space and supervision) [15], some customized commercial systems can be more accessible to the population and only require a readily available Kinect camera to capture movement, in addition to computer and internet access [4], such as Doctor Kinetic (Doctor Kinetic), SaeboVR (Saebo), VirtualRehab (Evolv), and Jintronix (Jintronix).

    A recent meta-analysis by Aminov et al [16] showed statistically significant efficacy of both types of exergames (customized vs commercially available off-the-shelf systems) in improving UE motor function (eg, Fugl-Meyer Score), activity (eg, Box and Blocks Test), and social participation (eg, Motor Activity Log-30 [MAL-30]) when compared with conventional therapy. Commercially available systems demonstrated a low mean effect size (Hedges g 0.33, 95% CI 0.14-0.51; P=.01), whereas customized exergames showed a moderate mean effect size (Hedges g 0.58, 95% CI 0.41-0.76; P=.01) [16]. During the follow-up periods (4-6 weeks and 8-26 weeks), the authors observed maintenance of these gains with weak to moderate effects on function and activity, and small to nonsignificant effects on social participation [16].

    Overall, exergames offer several advantages compared with conventional therapy (eg, mass repetitions, feedback on activity, and motivation), which could explain the efficacy of these interventions in several metanalyses [15-20]. Several neuroscience studies have highlighted the ability of virtual reality (VR) to stimulate motor learning in the context of stroke [14,21,22]. Moreover, Maier et al [19] explained the superior efficacy of customized exergames compared with commercially available systems based on the presence of more elements promoting neuroplasticity (in 11/22, 50% of studies using customized systems), such as varied practice, feedback (eg, score, encouragement, and real-time visualization of the hand), increasing difficulty, or specific task practice. Given the promising potential of customized exergames, it is worthwhile to consider implementing them at the homes of survivors of stroke to optimize the recovery of persistent UE sequelae and maintain gains over time.

    Telerehabilitation Combined With Exergames

    Telerehabilitation refers to the use of information and communication technology that provides remote rehabilitation [23]. Considering the context of the COVID-19 pandemic, telerehabilitation has been ideal to maintain the provision of rehabilitation services to those who need it most (older adults, people with difficulty accessing rehabilitation services, and people with deficits). The use of customized exergames combined with telerehabilitation may be an interesting alternative for rehabilitating UE deficits in survivors of chronic stroke while allowing for ongoing monitoring. When considering home interventions, exergames were usually provided with no supervision [24,25] or only follow-up sessions by telephone [26-28], which may have left the window open to compensation, mismatch of difficulty progression and improvement, a decrease in motivation [29], and feelings of loneliness [30]. In addition, exergames using the Kinect camera aimed at UE rehabilitation mainly offer exercises for the shoulder and elbow, with no emphasis on hand exercises. For example, the Kinect camera in the Jintronix exergame does not detect the hand and fingers; therefore, specific hand exercises are not provided [31]. Thus, the use of VR and customized exergames combined with telerehabilitation (eg, VirTele) is particularly relevant for providing a survivor of stroke–centered and exergame-based rehabilitation program [32,33]. The VirTele technology was previously tested with a survivor of stroke and was shown to be feasible for use in remote UE rehabilitation, which helped inform this study’s protocol [33]. The preliminary efficacy results showed improvement in UE motor function, quantity and quality of use, and impact on quality of life, along with a high level of autonomous motivation [33], hence the interest in continuing to study the VirTele intervention with more participants. In addition, given the novelty of VirTele, information on the optimal dose, time since stroke, and criteria for identifying participants who may benefit the most from VirTele is needed.

    Therefore, it is necessary to conduct a feasibility clinical trial to (1) determine the feasibility of using VirTele with survivors of chronic stroke at home and (2) explore the impact of VirTele on UE motor function, quantity and quality of use, quality of life, and motivation in survivors of chronic stroke compared with conventional therapy.


    Study Design

    This study was a 2-arm feasibility clinical trial. Until the study could be pursued, considering the rapid progress of VR and telerehabilitation technologies, we considered it relevant to present the findings collected during the first 9 months (before the onset of the COVID-19 pandemic) to inform future technology development and implementation.

    Eligible participants were randomly allocated to an experimental group (receiving VirTele for 8 weeks) or a control group (receiving conventional therapy for 8 weeks). Block randomization (block size of 6) was used, given the time and access to materials (3 computers were available at a time). There were 42 phone inquiries, during which 29 potential participants were excluded. A total of 13 potential participants were assessed for eligibility by in-person screening, and 11 were retained and randomly allocated to the control or experimental groups.

    Outcome measurements were administered to both groups at four time points: before starting the intervention (time point 1 [T1]), after the end of the 2-month intervention (time point 2 [T2]), 1 month later (time point 3 [T3]), and 2 months later (time point 4 [T4]). Research team members who were blinded to group assignment and not involved in the interventions (VirTele or conventional therapy) were responsible for the randomization. During the period of the COVID-19 pandemic, evaluators could not be blinded to the group assignment as the participants in the experimental group were evaluated using the telerehabilitation system used in VirTele intervention.

    Ethics Approval

    Before enrollment, all participants provided informed consent. This feasibility clinical trial was registered at ClinicalTrials.gov (NCT03759106) and was approved by the Research Ethics Board of the Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (review number CRIR-1319-0218) [32]. This study was conducted according to the CONSORT (Consolidated Standards of Reporting Trials) guidelines [34].

    Participant Selection and Recruitment Strategy

    Participants were recruited from the archives of rehabilitation centers (offline via a database of potential participants) and the community situated in Montreal (via the ClinicaTtrials.gov website; Quebec, Canada) [32]. Eligible participants included survivors of stroke (ischemic or hemorrhagic) with residual UE impairment (Chedoke-McMaster arm component, scores 2-6), who stopped receiving rehabilitation services and were able to use the exergame system (eg, move the exergame avatar with the affected UE) [32]. Participants were excluded if they had severe cognitive or communication impairment, uncontrolled medical conditions (eg, cardiac condition), balance deficits, visual impairment, and UE mobility deficits (restricted movements or inability to move the avatar).

    Eligibility was assessed by a research assistant. The study therapists included physiotherapists working in the Montreal area with experience in stroke rehabilitation.

    Intervention Protocol

    Experimental Group

    The experimental group received the VirTele program. VirTele is an 8-week home rehabilitation program that includes Jintronix exergames [31] for UE rehabilitation and the Reacts app (Technologies innovatrices d’imagerie and Reacts) [35] to conduct videoconference sessions with clinicians. The experimental group received the VirTele equipment at home which included a computer, a Kinect camera, the Reacts app, the Jintronix software, and a USB internet key (if needed). Before starting the intervention, participants, including clinicians and survivors of chronic stroke, received a 1-hour training session to familiarize themselves with the Jintronix exergames and the Reacts app [32].

    The Jintronix exergames included 5 games for UE training (Space Race, Fish Frenzy, Pop Clap, Catch and Carry an apple, and Kitchen clean-up) [31]. The clinician adjusted the difficulty parameters of each game remotely (eg, speed, duration, number of repetitions, and direction of the trajectory) according to the participant’s preference and functional abilities. An automated log system of the participant’s performance during exergames was available on the Jintronix portal (eg, active time spent on exergames, scores, number of tasks completed, and amount of trunk compensation), allowing the clinician to monitor the participant’s progression. The training protocol included five 30-minute sessions of Jintronix exergames per week for 8 weeks, targeting 20 hours of training overall.

    The Reacts app [35], a videoconferencing platform, was used by the clinician to schedule videoconference meetings synchronized with sessions when the survivor of stroke was playing exergames to, for example, supervise the participant’s performance, correct their posture, grade the difficulty based on performance, and match games to the participant’s preferences and needs. Furthermore, the Reacts app was also used by the clinician to administer motivational interviewing [36].

    Motivational interviewing is a person-centered approach used in behavioral interventions, which comprises behavior change techniques (BCTs) [37] and relational techniques [36]. Motivational interviewing has also been associated with the self-determination theory (SDT) [38]. The SDT is an approach that highlights the importance of autonomy and engaging individuals in their decision-making processes [39]. According to the SDT, clinicians can create a social environment that fosters autonomy (volition in one’s actions), competence (belief in one’s actions), and relatedness (a sense of belonging), which are 3 dimensions that are essential for promoting autonomous motivation and well-being [39]. In line with the SDT, survivors of stroke were given greater autonomy in determining their program by being able to choose from a range of exercises, being involved in grading the difficulty level of the games, and identifying strategies to increase the use of their affected UE in the long term through self-directed exercises and daily activities (eg, using the affected UE for dressing). In addition to exergames, supplementary exercises targeting hand fine motor skills and UE were suggested by the clinician to meet the individual goals of the survivors of stroke.

    The videoconferencing sessions were scheduled as follows: 3 times a week for the first 2 weeks, twice a week for the following 2 weeks, and then once a week for the remaining 4 weeks to maintain motivation, ensure that the exercises are adequately tailored, and identify strategies to maintain the activity level of the UE after the study ended.

    The training of the VirTele group was conducted at the participant’s home after the installation of the equipment and lasted approximately 30 minutes to 1 hour. The training included a practical workshop on the use of the exergames and videoconferencing system. At the end of the training, a VirTele user manual (developed by the research team) was provided to the participants. Clinicians were trained in motivational interviewing [36] before the start of the study. A motivational interviewing guide (discussion plan) based on BCTs [37] and motivational techniques [36] was conceived by the research team and provided to the clinicians as a support tool that can help them choose strategies adapted to the client’s needs.

    For further information regarding the Reacts app, Jintronix exergames, and motivational interviewing, refer to the published study protocol [32] or previous case studies exploring VirTele use among survivors of stroke [33,40].

    Control Group

    In Canada, survivors of chronic stroke receive the Graded Repetitive Arm Supplementary Program (GRASP) [41] as a home rehabilitation training program to exercise the affected UE and use it in activities of daily living [2]. Therefore, the control group received the GRASP, which included exercises for the arm and hand (strengthening and range of motion) and functional activities targeting the UE [41]. The GRASP equipment included various sizes of Lego and wooden blocks, poker chips, clothes pegs, popsicle sticks and toothpicks, paper clips of various sizes, various jars, a weight of 0.45 kg, tennis ball, foam ball, plastic cup, modeling clay, knife and fork, and a target board [41]. The control group was invited to perform the GRASP exercises for 8 weeks, 5 days per week (30-minute sessions), targeting 20 hours of exercise overall (same as the experimental group) [32]. The time spent on the GRASP program, the number of sessions, and events such as fatigue and pain were reported at T2 after the intervention was terminated. No follow-up was provided during the 8-week intervention period, similar to conventional therapy. However, at the end of the study, the participants were offered one session with the clinician to discuss strategies for improving the use of UE in activities of daily living [32]. All participants received a 30-minute training to familiarize themselves with the GRASP equipment and exercises [32].

    Outcomes Measures

    Overview

    At the start of the study, participant evaluations were conducted at the Center for Interdisciplinary Research in Rehabilitation of Greater Montreal in the presence of an evaluator. At the start of the COVID-19 pandemic, all research activities at the research site were suspended, and all evaluations were conducted remotely. For the experimental group, the evaluations were conducted using the Reacts videoconferencing system. For the control group, the evaluations were conducted either by phone or by a videoconferencing system available at the participant’s home.

    Feasibility Indicators

    Given the novelty of VirTele, the feasibility data collected for the experimental group included the number and active time spent on exergame sessions, frequency and time spent by the clinician during videoconferencing sessions, exercise adherence, and resource use (equipment and technical support). These were obtained directly from the Jintronix and Reacts systems, as well as from intervention logs completed by the clinician at the end of each session. Safety indicators, such as the occurrence of adverse events (eg, pain, fatigue, and dizziness), were documented by the clinician and technical team [32]. Information about technical difficulties was obtained from a log completed by the clinicians and technical team [32]. Satisfaction with the technology and the interaction between the clinician and the survivor of stroke were assessed using the Modified Short Feedback Questionnaire (adapted from Davis [42]) and the Health Care Climate Questionnaire (Perceived Autonomy Support) [43]. The Modified Short Feedback Questionnaire includes 2 subscales with 6 items, including a 7-point Likert-type scale ranging from extremely likely (score 1) to extremely unlikely (score 7). The first subscale evaluates the perceived usefulness (total score range 6-42; a lower score indicates that the technology is extremely useful) and the second subscale evaluates the perceived ease of use (total score range 6-42; a lower score indicates that the technology is extremely easy to use). The Health Care Climate Questionnaire includes 6 items with a 7-point Likert-type scale ranging from strongly agree (score 1) to strongly disagree (score 7), evaluating the need for support from the clinician, as perceived by the survivor of stroke (total score range 6-42; a high score indicates a higher perceived need for support from the clinician).

    The process indicators were also documented to inform the validity of the study protocol and included data on recruitment rate (rate of participants per month and duration of recruitment) and retention rate (percentage of participants who completed the VirTele program) [32].

    Performance Outcome Measure

    The Fugl-Meyer Assessment-UE (FMA-UE) [44,45] motor function score was used as the primary outcome to evaluate UE motor function impairment. The FMA-UE motor function score [44,45] captures synergy, coordination, and sensorimotor functions (UE, wrist, and hand). The FMA-UE score has been shown to be valid in participants with stroke [46] and reliable for administration at a distance (video observation of an evaluator administering the FMA-UE on site) [47]. Given the COVID-19 pandemic, we tested the feasibility of administering the FMA-UE motor function at a distance with no on-site evaluator (video observation of the participant’s performance), which was pretested in a previous study with a first survivor of stroke [33]. With respect to the various collection methods (by videoconferencing, by telephone, or on site), the FMA-UE motor function score was adjusted to 60 in all participants (experimental and control groups) by eliminating the parts of the scale that could not be evaluated remotely (reflex activity component).

    Self-reported Questionnaires

    The secondary outcomes included the Motor Activity Log-30 (MAL-30) [48,49], the Stroke Impact Scale-16 (SIS-16) [50,51], and the Treatment Self-Regulation Questionnaire-15 (TSRQ-15) [52].

    The MAL-30 captures both quality (MAL-30 quality of use) and quantity of use (MAL-30 amount of use) of the affected UE in 30 daily activities (eg, writing on paper, brushing teeth, and using a fork or spoon for eating) [48,49]. The MAL-30 is reliable and valid for the poststroke population [53].

    The SIS-16 is a 16-item questionnaire that captures the impact of stroke on the quality of life regarding hand function, activities of daily living, and mobility [50,51]. The SIS-16 has demonstrated good reliability and validity [54].

    The TSRQ-15, a 15-item questionnaire, captures different processes of motivation consistent with the SDT, including autonomous motivation, “where a person accepts changes and behaves autonomously”; amotivation or the “lack of motivation”; external regulation, “where a person behaves to obtain a reward, or avoid punishment”; and introjected regulation, “where a person behaves for pride or to avoid feeling guilty” [52]. The TSRQ-15 has demonstrated good reliability and validity across health care and rehabilitation contexts [52,55].

    Data Analysis

    Descriptive statistics (means, frequencies, and SDs) were used to (1) describe the sociodemographic characteristics of survivors of chronic stroke in both groups (age, sex, dominance, time since stroke, type of stroke, side of stroke, Chedoke-McMaster UE score, living arrangement, and ability to use a computer), (2) report feasibility indicators (eg, time spent on exergames, frequency of use, total number of repetitions, number of videoconferencing sessions, satisfaction with the technology, and perceived autonomy support), and (3) report impact indicators (frequency of participants who improved and worsened for each outcome measure). All outcome measure changes were compared with their minimal clinically important differences (MCIDs) when applicable [32].


    Overview

    As research activities were suspended because of the COVID-19 pandemic, data collection, as scheduled in the research protocol [32], was delayed and extended. A total of 11 survivors of stroke were randomized and allocated to a treatment group (VirTele intervention or conventional therapy). The attrition rate was 18% (2/11), as 2 participants from the VirTele group did not complete the study (Figure 1). One of the patients was lost at follow-up because of an inability to commit time, and one discontinued the VirTele intervention because of difficulties using technology (unable to use the mouse or the keyboard and to start the computer).

    Approximately 50% (2/4) of participants in the experimental group and 20% (1/5) of participants in the control group received their allocated treatment at the onset of the COVID-19 pandemic in Canada (March 2021). At that time, every research activity was suspended, and outcome measurements at T2 could not be administered. Thus, participants were offered the opportunity to pursue the allocated treatment for 3 months instead of 8 weeks and were evaluated remotely at the end of the 3-month intervention (T2), a month later (T3), and 2 months later (T4). The sociodemographic data are provided in Table 1.

    ‎
    Figure 1. Group allocation, follow-up, and data analysis. *Recruitment was interrupted because of the COVID-19 pandemic.
    View this figure
    Table 1. Sociodemographic data (N=9).
    CharacteristicsVirTele group (n=4)Control group (n=5)
    Age (years), mean (SD)57.8 (21.8)56.4 (17.3)
    Sex, n (%)

    		Male2 (50)2 (40)

    		Female2 (50)3 (60)
    Hand dominance, n (%)

    		Right3 (75)3 (60)

    		Left—a2 (40)

    		Ambidextrous1 (25)—
    Time since stroke (years), mean (SD)8 (2)9.8 (3.0)
    Type of stroke, n (%)

    		Hemorrhagic1 (25)b2 (40)

    		Ischemic2 (50)b3 (60)
    Side of stroke, n (%)

    		Right4 (100)3 (60)

    		Left0 (0)2 (40)
    Chedoke-McMaster UEc score, mean (SD)3.8 (1.0)4.8 (1.3)
    Living arrangement, n (%)

    		Living with family3 (75)2 (40)

    		Living alone1 (25)3 (60)
    Ability to use a computer, n (%)

    		Excellent1 (25)2 (40)

    		Good2 (50)2 (40)

    		Poor1 (25)1 (20)

    aNot available.

    bInformation regarding the type of stroke was not available for participant ID11 at the time.

    cUE: upper extremity.

    Feasibility Indicators

    Process Indicators

    Of the 42 inquiries by phone, 11 (26%) participants met the eligibility criteria and accepted to participate in the study. The rate of participant recruitment per month ranged from 0 to 6. In the VirTele group, 85% (5/6) of the participants completed the 8-week intervention (or the 3-month intervention during the COVID-19 pandemic). One of the participants discontinued the intervention because of persistent technical difficulties in accessing the VR system despite training (Figure 1).

    Resources

    The active time spent on exergames, the number of exergame sessions, the total number of repetitions, and activities performed in parallel to VirTele (which implies the use of UEs) of each participant receiving VirTele intervention are reported in Table 2.

    The frequency of videoconference sessions varied between 9 and 11 sessions during the first 4 weeks (mean 9.8, SD 1.0), followed by 3 to 7 sessions during the second month (mean 5. SD 1.826) and 4 to 6 sessions during the third month (mean 5.0, SD 1.4).

    The frequency of use and time spent on GRASP, as well as activities performed in parallel with GRASP (which implied the use of UEs), are reported in Table 3. Participant ID4, who did not use the GRASP during the 8-week intervention, reported that he was discouraged by the program as it mainly focused on his hand and wrist, which he could not move anymore since the stroke. Although participant ID9 received GRASP for 3 months, he only used the program for 6 weeks.

    Table 2. Exergame sessions and activities performed by each participant receiving VirTele intervention.
    Participant ID and totalTime spent on exergames (hours)Frequency of use of exergamesTotal number of repetitionsaActivities (other than those provided in VirTele)

    		2 monthsThird month
    		2 monthsThird month
    ID118N/Ab8417,101N/AStretching, cooking, and housework (cleaning and laundry)
    ID520N/A4912,854N/AExercises
    ID1015.0314.285913,13018,759Housework (cleaning and laundry)
    ID1113.184.235811,6495312Housework (cleaning and laundry)
    Total, mean (SD)16.6 (3.0)9.2 (7.1)62.5 (15.0)13,683 (2367)12,035 (9508)—c

    aReflects the number of successful tasks or movements completed during the exergame.

    bN/A: not applicable.

    cNot available.

    Table 3. Frequency of use and time spent on GRASPa in the control group.
    Participant ID and totalTime spent on GRASP (hours)Frequency of use of GRASPActivities (other than GRASP)

    		2 monthsThird month

    ID34N/Ab16Bodybuilding, housework, and cooking
    ID40N/A0Tennis (nonaffected hand), cooking, and housework
    ID68N/A16Swimming, exercises, and housework
    ID784N/A56Housework, using a computer, and exercises
    ID930030Gardening and shopping
    Total, mean (SD)25.2 (34.86)0 (0)23.6 (20.99)—c

    aGRASP: Graded Repetitive Arm Supplementary Program.

    bN/A: not applicable.

    cNot available.

    Management

    Technical issues were reported from the clinicians’ logs and included loss of password (to access the Reacts app) by the participant, internet issues, update of the system, sound or video cut off, and problems with the avatar (did not follow the movements of the UE). Technical issues were mainly managed by the clinician, the participant, or the participant’s caregiver. The technical team intervened once on site to deliver a 3G key, as the participant had no more internet access, and once by telephone with a participant to help them recover their passwords.

    The clinicians’ logs showed that BCTs and motivational techniques were applied during the VirTele intervention with each participant in the experimental group. Among the 4 participants who completed the VirTele intervention, 3 (75%) participants (ID1, ID10, and ID11) reported more frequent use of the affected UE in activities of daily life and self-directed exercises (during the intervention), and 3 (75%) participants (ID1, ID5, and ID10) maintained the use of the affected UE after the intervention was terminated.

    Scientific Feasibility

    The 4 participants in the experimental group reported fatigue of the affected UE, which was managed by the clinician (by suggesting rest and stretching postures). Participant ID10 reported an increase in pain in the less-affected UE during the third month of VirTele; however, it did not seem to affect his adherence to the intervention, as recorded in the automatic logs accessible in the Jintronix portal (executed 59 sessions of exergames and spent 14 hours playing during the third month; Table 2).

    The Health Care Climate Questionnaire showed a high score for perceived autonomy support in the experimental group (mean score 41.0, SD 1.7). Regarding the results of the perceived usefulness and perceived ease of use, most participants (3/4, 75%) found the technology extremely easy to use (mean score 11.0, SD 6.6) and extremely or quite useful (mean score 13.8, SD 15.5). Participant ID5 found the technology extremely or quite difficult to use (score 37/42) and slightly useful (score 20/42).

    Performance Outcome Measure

    For the primary outcome (FMA-UE motor function score), 50% (2/4 in each group) exhibited an improvement with important change scores equal to or within the MCID ranges (between 4.25 and 7.25), maintained over time from 1 (T3) to 2 months (T4) after the intervention (Table 4). Participant ID9 in the control group could not be evaluated as the FMA-UE could not be administered by phone (the only technology used by the participant) during the COVID-19 pandemic.

    Table 4. Fugl-Meyer Assessment–Upper Extremity motor function score in the experimental and control groups.
    Group and participant IDFugl-Meyer Assessment–Upper Extremity motor function score (0-60)

    		Time point 1Time point 2Time point 3Time point 4
    Experimental group

    		ID124312841

    		ID550434851

    		ID1018141818

    		ID 1125293124
    Control group

    		ID343484241

    		ID44986

    		ID646475759

    		ID752424646

    Self-reported Questionnaires

    MAL-30 Questionnaire

    Regarding the MAL-30 quantity of use, 100 % (4/4) of all participants in the experimental group exhibited improvement from baseline (T1) to postintervention (T2), with the maintenance of benefits over time from 1 (T3) to 2 months (T4) after the intervention, whereas the control group showed improvement in 80% (4/5) of the participants from baseline (T1) to postintervention (T2), with maintained gains over time from 1 (T3) to 2 months (T4) after the intervention (Table 5). The MCID of the MAL-30 quantity of use was not available at that time.

    For the MAL-30 quality of use, all participants in the experimental (4/4, 100%) and the control (5/5, 100%) groups demonstrated improvement from baseline (T1) to postintervention (T2), maintained over time from 1 (T3) to 2 months (T4) after the intervention, 2 of which reached the MCID (between 1.0 and 1.1; Table 5) [49].

    Table 5. Motor Activity Log-30 scores in the experimental and control groups.
    Group and participant IDMotor Activity Log-30: quantity and quality of use of the affected upper extremity

    		Score quantity of use (from 0 to 5)Score quality of use (from 0 to 5)

    		Time point 1Time point 2Time point 3Time point 4Time point 1Time point 2Time point 3Time point 4
    Experimental group

    		ID10.260.870.630.980.260.930.700.78

    		ID51.642.072.912.711.321.682.452.34

    		ID100.101.130.630.530.131.170.900.47

    		ID 110.000.340.360.320.000.380.410.38
    Control group

    		ID30.700.571.001.130.831.301.061.18

    		ID40.000.070.070.100.000.030.070.10

    		ID61.863.193.143.362.103.343.393.86

    		ID71.212.692.643.141.522.722.582.93

    		ID90.030.200.220.220.010.310.380.24
    SIS-16 Questionnaire

    For the SIS-16 hand function, only one of the participants in the experimental group exhibited improvement for the item “carry heavy objects (eg, bag of groceries),” with a score higher than the MCID (between 9.4 and 14.1) [51]. All participants in the control group (5/5, 100%) demonstrated improvement from baseline (T1) to postintervention (T2), maintained over time from 1 (T3) to 2 months (T4) after the intervention, with all scores higher than the MCID (Table 6).

    Table 6. SIS-16a scores in the experimental and control groups.
    Group and participant IDSIS-16 hand function (from 0 to 100)SIS-16 activities of daily life
    (from 0 to 100)    		SIS-16 mobility (from 0 to 100)

    		T1bT2cT3dT4eT1T2T3T4T1T2T3T4
    Experimental group

    		ID110010010010010010010010096100100100

    		ID5002504750533846614654

    		ID107575009781887882825761

    		ID 11755050506972787575687979
    Control group

    		ID32525255084889194821008993

    		ID47575100759175818189869693

    		ID602550505663786961757175

    		ID7255010010010097979410010096100

    		ID905050506663849468507568

    aSIS-16: Stroke Impact Scale-16.

    bT1: time point 1.

    cT2: time point 2.

    dT3: time point 3.

    eT4: time point 4.

    For the SIS-16 activities of daily life, 50% (2/4) of the participants in the experimental group demonstrated improvement from baseline (T1) to postintervention (T2), maintained over time from 1 (T3) to 2 months (T4) after the intervention in only 1 participant (MCID was not detected). In the control group, 60% (3/5) of the participants exhibited improvement higher or within the MCID from baseline (T1) to 2 months after the intervention (T4; Table 6).

    Regarding the SIS-16 mobility, 50% (2/4) of participants in the experimental group exhibited improvement from baseline (T1) to postintervention (T2), maintained over time from 1 (T3) to 2 months (T4) after the intervention, with a score higher than the MCID in only 1 participant. In the control group, 40% (2/5) of the participants exhibited improvement from baseline (T1) to postintervention (T2), maintained over time from 1 (T3) to 2 months (T4) after the intervention, with scores within or higher than the MCID (Table 6).

    TSRQ Measure

    In the experimental group, 75% (3/4) of the participants demonstrated an increase in their autonomous motivation score from baseline (T1) to 2 months after the intervention (T4). Further examination of the regulations that define the controlled motivation in the experimental group showed an increase in introjected regulation from baseline (T1) to postintervention (T2) in 75% (3/4) of the participants, maintained over time from 1 (T3) to 2 months (T4) after the intervention in only 1 participant. In parallel, the external regulation showed an increase of 75% (3/4) in the participants from baseline (T1) to postintervention (T2), with a tendency to decrease in the follow-up period from 1 (T3) to 2 months (T4) after the intervention. The motivation score was substantially low in all participants at all times (Table 7).

    In the control group, only one of the participants demonstrated an increase in autonomous motivation from baseline (T1) to postintervention (T2), maintained over time from 1 (T3) to 2 months (T4) after the intervention. The examination of the introjected regulation showed substantially no change from baseline (T1) to postintervention (T2) in 80% (4/5) of the participants. The external regulation scores showed a tendency of increase in 40% (2/5) of the participants, maintained over time from 1 (T3) to 2 months (T4) after the intervention in only 1 participant. One of the participants showed a decrease from baseline (T1) to 2 months after the intervention (T4) in both introjected and external regulations. Amotivation scores tended to increase in 80% (4/5) of participants (Table 7).

    Table 7. Treatment self-regulation scores in the experimental and control groups.
    Group and participant IDAutonomous motivationIntrojected regulationExternal regulationAmotivation

    		T1aT2bT3cT4dT1T2T3T4T1T2T3T4T1T2T3T4
    Experimental group

    		ID1424242431414148410443333

    		ID534414136101411815192049989

    		ID1042424242281412161116229699

    		ID 111927242451056913121187411
    Control group

    		ID338404240223247773793

    		ID440394239101111118617126688

    		ID64027403910222114576939

    		ID740323333131313224101649383

    		ID9302421249822610446399

    aT1: time point 1.

    bT2: time point 2.

    cT3: time point 3.

    dT4: time point 4.


    The objectives of this feasibility clinical trial were to (1) determine the feasibility of using VirTele with survivors of chronic stroke at home and (2) explore the impact of VirTele on UE motor function, quantity, quality of use, quality of life, and motivation in survivors of chronic stroke compared with conventional therapy.

    Feasibility and Impact Indicators

    Feasibility Indicators
    Criteria of VirTele Use

    The results of this study suggest that VirTele is feasible to use at home among survivors of chronic stroke, aged 41 to 89 (mean 56.8, SD 21.8) years with 8 (SD 2) years since the stroke. However, certain criteria should be respected to benefit as much as possible from this technology, such as minimum knowledge of using computers (how to use a mouse and keyboard) or having a caregiver who is comfortable with computers and no severe aphasia that limits communication between the clinician and the survivor of the stroke. Overall, most survivors of stroke found the technology easy to use and useful, except for one of the participants.

    The training provided before starting the intervention seems adequate for survivors of chronic stroke who have used a computer before but should be adjusted to better prepare participants who are not familiar with computers (never used before), such as a longer period of familiarization and personalized training. Although the clinicians reported no difficulties regarding technology use, novice clinicians may require support to address interoperability issues and acquire new skills (eg, choose exergames based on client capacities and goals, create exergame-based rehabilitation programs, select appropriate clients, and grade difficulty levels) to enhance their self-efficacy during practice [3].

    Dose of the VirTele Intervention

    In the context of this study, VirTele intervention dose was captured in terms of time spent on exergames (2 months: mean 16.6, SD 3.0 hours; third month: mean 9.3, SD 7.1 hours), frequency of use (mean 62,5, range 49-84 sessions), and the total number of successful repetitions (2 months: mean 13,683, SD 2367; third month: mean 12,035.5, SD 9508.46). Interestingly, dose in terms of time spent on exergames and frequency of use did not seem to have any moderating effect on FMA-UE and SIS-16 scores, which echo the findings of a previous study that found no advantages for higher dosing (duration and frequency of use) of VR approaches on rehabilitation outcomes (eg, FMA-UE, box, block) [16]. However, the performance of approximately 17,000 repetitions of successful tasks or movements during exergames appears to be the gold standard for achieving clinical improvements in UE motor function. Although participant ID10 attained 30,000 repetitions, no improvement was observed in the FMA-UE, which suggests that intense repetition is not always the gold key to recovery, as reported in a previous study (where UE improvement was attained following 30,341 repetitions) [33]. Furthermore, participant ID10 reported increased fatigue in the affected UE and pain in the less-affected UE, which reflects symptoms of overexercising and may prevent or reduce potential improvement. An evaluation of the FMA-UE score after the 8-week intervention in participant ID10 could have provided a better indicator of the UE motor condition (before the onset of symptoms at the third month).

    Although all participants in the experimental group improved their MAL-30 scores, the MCIDs were only detected in participants ID5 and ID10, who spent the longest time on exergames (range 20-29 hours), which suggests a potential link between doses in terms of time spent on exergames and clinical improvement at the MAL-30. Previous studies conducted by Levin et al [56] (delivered 6.8 hours of video capture exergames) and Housman et al [57] (delivered 24 hours of gravity-supported exergames) intending UE rehabilitation in survivors of chronic stroke found no change and significant improvement, respectively, sustained at 6 months on the MAL scores. These findings suggest that longer exposure to exergames may lead to better outcomes in participation in real-life activities and support the potential transfer of gains from the virtual environment to physical real-life activities.

    The Optimal Duration of the VirTele Intervention

    The optimal effective duration of VirTele intervention (8 or 12 weeks) is not yet clear, considering the varied results of the primary and secondary outcomes between participants in the experimental group. However, it is worth noting that the total number of repetitions and frequency of use of the technology are not always affected by VirTele duration. For example, participant ID1, who used VirTele for 8 weeks, achieved a higher dose of repetition and frequency of use of the exergames than participant ID11, who used VirTele for 3 months. Further examination of the level of amotivation at baseline showed that participants with the lowest level of amotivation (ie, high motivation) had the highest dose of repetition and frequency of use during the first 8 weeks. This may suggest that motivation should be evaluated before starting the VirTele intervention to determine the adequate duration (8 or 12 weeks) necessary to achieve a high dose of repetition and frequency of use and that an appropriate motivational strategy should be provided to individuals who are amotivated.

    Factors That May Affect Adherence to VirTele Intervention

    During the first 8-week intervention period, female participants (ID1 and ID5) achieved the highest level of adherence to exergames compared with male participants (ID10 and ID11), which suggests that sex may play a role in choosing to play or not the VirTele exergames. A previous study [58] conducted on healthy participants aged 18 to 51 (mean 21.65, SD 4.43) years, showed that women preferred physically internet-based games compared with men, which may explain the higher level of adherence to VirTele exergames in women, although it should be carefully interpreted, considering the small sample size and other factors related to motivation and stroke (eg, UE weakness and pain), which may affect adherence to the system.

    Age did not seem to affect adherence to the VirTele program, although lack of knowledge in information technology was often associated with older participants. Participant ID5, who was not familiar with information technology, had a caregiver who helped her use the system and was compliant with the VirTele program. However, previous experience in information technology may facilitate the use of this technology.

    VirTele Impact Indicators

    Regarding the primary outcome (FMA-UE), the experimental group reached the MCID from baseline (T1) to 2 months after the intervention (T4). This result is particularly relevant as the MCID was detected even if the total score of the scale was adjusted to 60, which supports the feasibility of administering the FMA-UE motor function remotely (without an evaluator on site). This result also supports the findings of a previous study [47] that examined the measurement properties of FMA-UE when administered remotely.

    Regarding the secondary outcomes, both groups demonstrated improvement in the MAL-30 quantity and quality of use, which may suggest that the VirTele intervention is comparable with conventional therapy in terms of somatosensory information feedback, affecting the UE quality of movement. The supplementary exercises provided in VirTele (in addition to exergames) may have played a role in the integration of somatosensory information by manipulating real-life objects with force and tactile feedback, which are important for motor learning [14].

    Regarding the quality of life (SIS-16 scores), the control group reported improvement in activities of daily life and hand function in 60% (3/5) and 100% (5/5) of the participants, respectively. In contrast, the experimental group reported varied and inconclusive results in terms of activities of daily life and hand function, despite the increased use of the UE (MAL-30 quantity) and improvement in the quality of use (MAL-30 quality). Participant ID1 reported a score of 100% (from T1 to T4) in SIS-16 hand function and activities of daily life, which indicates that no further gains can be achieved. Participant ID10 reported the appearance of pain in the less-affected UE (during the third month of VirTele intervention), which may have affected his performance during activities of daily life and the score of the SIS-16 hand function for the item “carry heavy objects (eg, bag of groceries)” as survivors of stroke often use compensatory strategies by the less-affected UE to help or assist the performance of the affected UE [59].

    Further explanation of the difference between the two groups regarding the SIS-16 scores may be associated with the training paradigm; the GRASP mainly targeted the hand and wrist, with little focus on gross motor skills, whereas the VirTele intervention mainly targeted gross motor skills, with supplementary exercises for the hand. Thus, training with the GRASP might better meet individual needs when it comes to performance in activities that require fine motor skills, although both groups demonstrated improvements in the quality and quantity of use of the UE. This also suggests that combining VirTele with conventional therapy such as the GRASP may maximize the recovery potential, which echoes the findings of Laver et al [60] who determined that the use of VR combined with conventional therapy had a significant effect on UE outcomes compared with when it was used alone (not significant).

    Role of Motivational Interviewing

    In the experimental group, 75% (3/4) of the participants demonstrated an increase in autonomous motivation compared with 20% (1/5) in the control group. In parallel, the experimental group demonstrated no change in the amotivation score, whereas the control group tended to show an increase in 80% (4/5) of participants. These results may suggest that VirTele intervention is more motivating than conventional therapy and that motivational interviewing delivered in the experimental group could have played a role in the development of autonomous motivation, which is important to maintain behavior changes of the UE.

    Other factors that may stimulate autonomous motivation include enjoyment and improving skills [61]. In this context, VirTele exergames offer playful and varied exercises with different levels of difficulty that could give survivors of stroke a real feeling of competence and more confidence in their abilities when they manage to succeed. Furthermore, some components of exergames, such as visual and auditory feedback (encouragement, score of the game, and indication of successful vs unsuccessful movement) [62] and quality of graphics [30], may enhance the enjoyment of participants and increase autonomous motivation, which may affect adherence to exercise.

    Furthermore, a multiple case study conducted with participants ID5, ID1, and ID11 showed that VirTele clinicians used many motivational interviewing strategies (BCTs and motivational techniques) that would support participants’ psychological needs [33]. Such an environment may lead to effective behavior changes [63], such as that experienced by participants ID5 and ID10 (high adherence to exergames and maintained use of the affected UE at the end of the VirTele intervention) [33]. In addition, the experimental group performed an enormous amount of repetition and had a higher frequency of use of the allocated treatment than the control group.

    In contrast, participant ID11 did not express any intention to continue using the affected UE when the intervention was terminated, which may be explained by the miscommunication encountered between the participant and the respective clinician because of aphasia [33]. An interview with ID11’s clinician in the multiple case study showed that the latter had difficulty understanding the needs of the participant to provide adequate motivational support [33]. In addition, participant ID11 was ambidextrous, which may have increased the use of compensatory strategies by the less-affected UE.

    Limitations and Recommendations

    The findings of this feasibility clinical trial should be carefully interpreted as some limitations were identified. First, the VirTele and GRASP interventions presented different training paradigms (gross and fine motor skills); however, only gross motor skills (coordination, volitional movement within synergies, or no synergy of shoulder and elbow) were captured through the primary outcomes (FMA-UE motor function) as the evaluation of the hand and wrist could not be performed remotely (requires the physical presence of the assessor). Second, it is important to note the inconsistency in the intervention duration among the participants in the 2 groups (experimental vs control). In the experimental group, 50% (2/4) of the participants received a 3-month intervention and 50% (2/4) received a 2-month intervention. In the control group, 20% (1/5) of the participants received a 3-month intervention, whereas 80% (4/5) received the initial 2-month intervention. That said, it is interesting to note that this variability in duration allowed us to determine the role that the dose (repetition or time spent) played in the recovery. Third, it is important to note that neither the evaluators nor the person in charge of data analysis was blinded to the group assignment. Finally, sex and age factors that may affect exergame use should be further examined using a larger sample size.

    In conclusion, the findings of this study should be interpreted with caution, given the small sample size. All explanations provided for the primary and secondary outcomes in both groups remain speculative and need further examination in a larger clinical trial.

    Conclusions

    The VirTele intervention constitutes another therapeutic alternative, in addition to the GRASP, to deliver an intense personalized rehabilitation program to survivors of chronic stroke (at least 8 years since the stroke) with UE deficits. Descriptive statistics showed that the highest scores for autonomous motivation were achieved in the experimental group, who achieved a high frequency of use of the exergames and a very high number of repetitions. The study results indicate that the study protocol is valid and can be used to inform larger-scale studies, regardless of the adaptations made because of the context of the COVID-19 pandemic.

    Acknowledgments

    This work was supported by the Canadian Institutes of Health Research (385297, 2017) [32,33], doctoral scholarships from the School of Rehabilitation of Université de Montréal, graduate and postdoctoral studies of Université de Montréal, the Center for Interdisciplinary Research in Rehabilitation of Greater Montreal, and Wilrose Desrosiers and Pauline Dunn Funding. The funding sources were not involved in the research or preparation of this paper.

    Conflicts of Interest

    None declared.

    1. Tracking Heart Disease and Stroke in Canada 2009. Ottawa: Public Health Agency of Canada; 2009.
    2. Hebert D, Lindsay MP, McIntyre A, Kirton A, Rumney PG, Bagg S, et al. Canadian stroke best practice recommendations: stroke rehabilitation practice guidelines, update 2015. Int J Stroke 2016 Jun;11(4):459-484. [CrossRef] [Medline]
    3. Levac D, Glegg S, Colquhoun H, Miller P, Noubary F. Virtual reality and active videogame-based practice, learning needs, and preferences: a cross-Canada survey of physical therapists and occupational therapists. Games Health J 2017 Aug;6(4):217-228. [CrossRef] [Medline]
    4. Kim W, Cho S, Ku J, Kim Y, Lee K, Hwang H, et al. Clinical application of virtual reality for upper limb motor rehabilitation in stroke: review of technologies and clinical evidence. J Clin Med 2020 Oct 21;9(10):3369 [FREE Full text] [CrossRef] [Medline]
    5. Aramaki AL, Sampaio RF, Reis AC, Cavalcanti A, Dutra FC. Virtual reality in the rehabilitation of patients with stroke: an integrative review. Arq Neuro Psiquiatr 2019 Apr;77(4):268-278. [CrossRef]
    6. My Nintendo Store. Nintendo.   URL: https://www.nintendo.com/games/detail/wii-fit-u-packaged-version-wii-u/ [accessed 2020-12-10]
    7. PlayStation 5 Console. PlayStation.   URL: https://www.playstation.com/en-ca/ [accessed 2020-12-10]
    8. Kinect for Windows. Microsoft.   URL: https://developer.microsoft.com/en-us/windows/kinect/ [accessed 2020-12-10]
    9. Xbox series X. Xbox.   URL: https://www.xbox.com/fr-CA/consoles/xbox-series-x [accessed 2021-09-14]
    10. Xbox One X. Xbox.   URL: https://www.xbox.com/fr-CA/consoles/xbox-one-x [accessed 2021-09-14]
    11. Yates M, Kelemen A, Sik Lanyi C. Virtual reality gaming in the rehabilitation of the upper extremities post-stroke. Brain Inj 2016;30(7):855-863. [CrossRef] [Medline]
    12. CAREN - Computer Assisted Rehabilitation Environment. In: Studies in Health Technology and Informatics. Amsterdam, Netherlands: IOS Press; 1999.
    13. Irex is gesturetek health’s flagship product for the healthcare arena, with over 750 units installed in rehabilitation facilities worldwide. Gesturetek Health.   URL: http://www.gesturetekhealth.com/products/irex [accessed 2021-01-04]
    14. Virtual Reality for Physical and Motor Rehabilitation. Cham: Springer; 2014.
    15. Lohse KR, Hilderman CG, Cheung KL, Tatla S, Van der Loos HF. Virtual reality therapy for adults post-stroke: a systematic review and meta-analysis exploring virtual environments and commercial games in therapy. PLoS One 2014;9(3):e93318 [FREE Full text] [CrossRef] [Medline]
    16. Aminov A, Rogers JM, Middleton S, Caeyenberghs K, Wilson PH. What do randomized controlled trials say about virtual rehabilitation in stroke? A systematic literature review and meta-analysis of upper-limb and cognitive outcomes. J Neuroeng Rehabil 2018 Mar 27;15(1):29 [FREE Full text] [CrossRef] [Medline]
    17. Ahn S, Hwang S. Virtual rehabilitation of upper extremity function and independence for stoke: a meta-analysis. J Exerc Rehabil 2019 Jun;15(3):358-369 [FREE Full text] [CrossRef] [Medline]
    18. Lee HS, Park YJ, Park SW. The effects of virtual reality training on function in chronic stroke patients: a systematic review and meta-analysis. Biomed Res Int 2019;2019:7595639 [FREE Full text] [CrossRef] [Medline]
    19. Maier M, Rubio Ballester B, Duff A, Duarte Oller E, Verschure PF. Effect of specific over nonspecific VR-based rehabilitation on poststroke motor recovery: a systematic meta-analysis. Neurorehabil Neural Repair 2019 Feb;33(2):112-129 [FREE Full text] [CrossRef] [Medline]
    20. Saposnik G, Levin M, Outcome Research Canada (SORCan) Working Group. Virtual reality in stroke rehabilitation: a meta-analysis and implications for clinicians. Stroke 2011 May;42(5):1380-1386. [CrossRef] [Medline]
    21. Merians AS, Fluet G, Tunik E, Qiu Q, Saleh S, Adamovich S. Movement rehabilitation in virtual reality from then to now: how are we doing? Int J Disabil Hum Dev 2014 Sep;13(3):311-317 [FREE Full text] [CrossRef] [Medline]
    22. Merians AS, Tunik E, Adamovich SV. Virtual reality to maximize function for hand and arm rehabilitation: exploration of neural mechanisms. Stud Health Technol Inform 2009;145:109-125 [FREE Full text] [Medline]
    23. Laver KE, Schoene D, Crotty M, George S, Lannin NA, Sherrington C. Telerehabilitation services for stroke. Cochrane Database Syst Rev 2013 Dec 16(12):CD010255 [FREE Full text] [CrossRef] [Medline]
    24. Mouawad MR, Doust CG, Max MD, McNulty PA. Wii-based movement therapy to promote improved upper extremity function post-stroke: a pilot study. J Rehabil Med 2011 May;43(6):527-533 [FREE Full text] [CrossRef] [Medline]
    25. Standen PJ, Threapleton K, Richardson A, Connell L, Brown DJ, Battersby S, et al. A low cost virtual reality system for home based rehabilitation of the arm following stroke: a randomised controlled feasibility trial. Clin Rehabil 2017 Mar;31(3):340-350 [FREE Full text] [CrossRef] [Medline]
    26. Adie K, Schofield C, Berrow M, Wingham J, Humfryes J, Pritchard C, et al. Does the use of Nintendo Wii Sports improve arm function? Trial of Wii in Stroke: a randomized controlled trial and economics analysis. Clin Rehabil 2017 Feb;31(2):173-185. [CrossRef] [Medline]
    27. Linder SM, Rosenfeldt AB, Bay RC, Sahu K, Wolf SL, Alberts JL. Improving quality of life and depression after stroke through telerehabilitation. Am J Occup Ther 2015;69(2):6902290020p1-690229002010 [FREE Full text] [CrossRef] [Medline]
    28. Gauthier LV, Kane C, Borstad A, Strahl N, Uswatte G, Taub E, et al. Video Game Rehabilitation for Outpatient Stroke (VIGoROUS): protocol for a multi-center comparative effectiveness trial of in-home gamified constraint-induced movement therapy for rehabilitation of chronic upper extremity hemiparesis. BMC Neurol 2017 Jun 08;17(1):109 [FREE Full text] [CrossRef] [Medline]
    29. Kairy D, Veras M, Archambault P, Hernandez A, Higgins J, Levin MF, et al. Maximizing post-stroke upper limb rehabilitation using a novel telerehabilitation interactive virtual reality system in the patient's home: study protocol of a randomized clinical trial. Contemp Clin Trials 2016 Mar;47:49-53. [CrossRef] [Medline]
    30. Faric N, Potts HW, Hon A, Smith L, Newby K, Steptoe A, et al. What players of virtual reality exercise games want: thematic analysis of web-based reviews. J Med Internet Res 2019 Sep 16;21(9):e13833 [FREE Full text] [CrossRef] [Medline]
    31. Interactive technology for rehabilitation and senior care. Jintronix.   URL: http://www.jintronix.com/ [accessed 2018-12-03]
    32. Allegue DR, Kairy D, Higgins J, Archambault P, Michaud F, Miller W, et al. Optimization of upper extremity rehabilitation by combining telerehabilitation with an exergame in people with chronic stroke: protocol for a mixed methods study. JMIR Res Protoc 2020 May 21;9(5):e14629 [FREE Full text] [CrossRef] [Medline]
    33. Allegue DR, Kairy D, Higgins J, Archambault PS, Michaud F, Miller WC, et al. A personalized home-based rehabilitation program using exergames combined with a telerehabilitation app in a chronic stroke survivor: mixed methods case study. JMIR Serious Games 2021 Aug 31;9(3):e26153 [FREE Full text] [CrossRef] [Medline]
    34. CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials. Equator Network.   URL: https://www.equator-network.org/reporting-guidelines/consort/ [accessed 2021-07-22]
    35. Welcome to Reacts. Reacts.   URL: https://www.iitreacts.com/ [accessed 2018-09-18]
    36. Hardcastle SJ, Fortier M, Blake N, Hagger MS. Identifying content-based and relational techniques to change behaviour in motivational interviewing. Health Psychol Rev 2017 Mar;11(1):1-16. [CrossRef] [Medline]
    37. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med 2013 Aug;46(1):81-95. [CrossRef] [Medline]
    38. Miller WR, Rollnick S. Meeting in the middle: motivational interviewing and self-determination theory. Int J Behav Nutr Phys Act 2012 Mar 02;9:25 [FREE Full text] [CrossRef] [Medline]
    39. Deci EL, Ryan RM. The "what" and "why" of goal pursuits: human needs and the self-determination of behavior. Psychol Inquiry 2000 Oct;11(4):227-268. [CrossRef]
    40. Allegue D, Kairy D, Higgins J, Archambault P, Michaud F, Miller W, et al. What we learned about using telerehabilitation combined with exergames, from clinicians and chronic stroke survivors: a multiple case study. JMIR Rehabilitation Assistive Technol 2021 (forthcoming)(forthcoming) [FREE Full text]
    41. 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):2123-2128. [CrossRef] [Medline]
    42. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 1989 Sep;13(3):319. [CrossRef]
    43. 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. [CrossRef] [Medline]
    44. 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):103-108 [FREE Full text] [CrossRef] [Medline]
    45. Singer B, Garcia-Vega J. The Fugl-Meyer upper extremity scale. J Physiother 2017 Jan;63(1):53 [FREE Full text] [CrossRef] [Medline]
    46. De Weerdt W. Measuring recovery of arm-hand function in stroke patients: a comparison of the Brunnstrom-Fugl-Meyer test and the Action Research Arm test. Physiother Canada 1985 Mar;37(2):65-70. [CrossRef]
    47. Amano S, Umeji A, Uchita A, Hashimoto Y, Takebayashi T, Kanata Y, et al. Reliability of remote evaluation for the Fugl-Meyer assessment and the action research arm test in hemiparetic patients after stroke. Top Stroke Rehabil 2018 Sep;25(6):432-437. [CrossRef] [Medline]
    48. 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):1410-1414. [CrossRef] [Medline]
    49. 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):1693-1700 [FREE Full text] [CrossRef] [Medline]
    50. 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):816-829. [CrossRef] [Medline]
    51. 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):477-483. [CrossRef] [Medline]
    52. 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. [CrossRef] [Medline]
    53. Silva ES, Pereira ND, Gianlorenço AC, Camargo PR. The evaluation of non-use of the upper limb in chronic hemiparesis is influenced by the level of motor impairment and difficulty of the activities-proposal of a new version of the motor activity log. Physiother Theory Pract 2019 Oct;35(10):964-974. [CrossRef] [Medline]
    54. 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):1127-1135. [CrossRef] [Medline]
    55. 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):1977-1982. [CrossRef] [Medline]
    56. Levin MF, Snir O, Liebermann DG, Weingarden H, Weiss PL. Virtual reality versus conventional treatment of reaching ability in chronic stroke: clinical feasibility study. Neurol Ther 2012 Dec;1(1):3 [FREE Full text] [CrossRef] [Medline]
    57. Housman SJ, Scott KM, Reinkensmeyer DJ. A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesis. Neurorehabil Neural Repair 2009 Jun;23(5):505-514. [CrossRef] [Medline]
    58. Phan MH, Jardina JR, Hoyle S, Chaparro BS. Examining the role of gender in video game usage, preference, and behavior. Proc Human Factors Ergonomics Soc Annual Meeting 2012 Sep 01;56(1):1496-1500. [CrossRef]
    59. Oujamaa L, Relave I, Froger J, Mottet D, Pelissier J. Rehabilitation of arm function after stroke. Literature review. Ann Phys Rehabil Med 2009 Apr;52(3):269-293 [FREE Full text] [CrossRef] [Medline]
    60. 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 [FREE Full text] [CrossRef] [Medline]
    61. Teixeira PJ, Carraça EV, Markland D, Silva MN, Ryan RM. Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act 2012 Jun 22;9:78 [FREE Full text] [CrossRef] [Medline]
    62. 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. [CrossRef] [Medline]
    63. Self-Determination Theory Basic Psychological Needs in Motivation, Development, and Wellness. New York: Guilford Press; 2017.

    ‎
    BCT: behavior change technique
    CONSORT: Consolidated Standards of Reporting Trials
    FMA-UE: Fugl-Meyer Assessment–Upper Extremity
    GRASP: Graded Repetitive Arm Supplementary Program
    IREX: Interactive Rehabilitation Exercise
    MAL-30: Motor Activity Log-30
    MCID: minimal clinically important difference
    SDT: self-determination theory
    SIS-16: Stroke Impact Scale-16
    T1: time point 1
    T2: time point 2
    T3: time point 3
    T4: time point 4
    TSRQ-15: Treatment Self-Regulation Questionnaire-15
    UE: upper extremity
    VR: virtual reality

    Edited by T Leung; submitted 27.09.21; peer-reviewed by M Demers, D Costa; comments to author 13.11.21; revised version received 09.02.22; accepted 29.04.22; published 22.06.22

    Copyright

    ©Dorra Rakia Allegue, Johanne Higgins, Shane N Sweet, Philippe S Archambault, Francois Michaud, William Miller, Michel Tousignant, Dahlia Kairy. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 22.06.2022.

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