Review
Abstract
Background: Acquired brain injury (ABI) in children and adolescents can lead to motor and executive impairments that often require long-term treatment. The implementation of web-based telerehabilitation therapy at home is a method to improve the functional status of patients. Therefore, we performed a systematic review of the effects of web-based telerehabilitation programs on functional outcomes in children and adolescents with brain injury and supplemented the findings with a meta-analysis.
Objective: This study evaluated the therapeutic effect of web-based telerehabilitation training on children and adolescents with brain injury to determine whether web-based telerehabilitation therapy improved motor function, executive function, physical activity level, lower limb strength, hand and upper limb function, visual processing skills, and occupational functional performance in children and adolescents with brain injury.
Methods: PubMed, Embase, Scopus, Web of Science, and the Cochrane Library were searched for randomized controlled trials on web-based telerehabilitation programs in children and adolescents with brain injury until December 2022, and the risk of bias was evaluated using the Cochrane Collaboration Tool. Relevant data were extracted, and a meta-analysis was performed using RevMan5.3 software.
Results: Overall, 17 studies involving 848 patients were included. Web-based telerehabilitation therapy improved the motor function (standardized mean difference [SMD] 0.29, 95% CI 0.01-0.57; P=.04), physical activity level (SMD 0.42, 95% CI 0.11-0.73; P=.007), lower limb strength (SMD 0.52, 95% CI 0.13-0.90; P=.009), and visual processing skills (SMD 0.26, 95% CI 0.02-0.50; P=.04) of children and adolescents with brain injury. It also improved executive function in letter-number sequencing (SMD 1.26, 95% CI 0.26-2.26; P=.01), attention (SMD 0.38, 95% CI 0.09-0.66; P=.009), and symbol search (SMD 1.18, 95% CI 0.43-1.93, P=.002).
Conclusions: Web-based telerehabilitation therapy improved motor function, physical activity level, lower limb strength, letter-number sequencing, attention, and symbol search, which improved the quality of life in children and adolescents with brain injury. Web-based telerehabilitation programs provide great convenience for children and adolescents with ABI who need long-term treatment and allow them to exercise at home for rehabilitation training. The widespread implementation of remote interventions also provides children and adolescents in remote areas with better access to rehabilitation services. This review provides evidence for the effectiveness of web-based telerehabilitation therapy, but there was heterogeneity in some of the results because of different disease types and intervention programs. Future studies can expand the sample size according to disease type and increase follow-up time according to different exercise prescriptions to further refine the long-term effects of this intervention on various functions of children and adolescents with ABI.
Trial Registration: PROSPERO CRD42023421917; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=421917
doi:10.2196/46957
Keywords
Introduction
Background
Acquired brain injury (ABI) is a major cause of morbidity and mortality worldwide. ABI can be caused by traumatic injuries (traffic accidents, accidental falls, sports injuries, and violence) or ischemic brain injuries (ischemic stroke, cerebral ischemia secondary to cardiac arrest, neurological damage after cardiopulmonary bypass, and perinatal ischemic hypoxic encephalopathy) [
, ]. ABI in children and adolescents is defined as a brain insult acquired after the first year of life [ ]. ABI includes traumatic brain injury and nontraumatic brain injury, with incidence rates of 274 to 317 per 100,000 [ - ] and 82.3 per 100,000 [ ], respectively.Most patients with ABI have a wide range of neurological sequelae, such as motor deficits, cognitive dysfunction, hand and upper limb dysfunction, language and speech abnormalities, and behavioral problems [
]. Hand dysfunction includes motor skill, speed, and coordination disorders [ ]. Depending on the severity of trauma, some children and adolescents may have persistent deficits in visual processing skills [ ], and these disorders have a lifelong dynamic impact on health and well-being [ ]. Therefore, we should focus on these disorders in children and adolescents with ABI. However, treatment of these disorders often requires long-term care and follow-up, which is difficult. Therefore, this review aimed to assess the effectiveness of web-based telerehabilitation programs in children and adolescents with brain injury.With the rapid development of internet technology, the World Health Organization has recognized the potential of mobile technology to change the nature of medical services [
]. Telerehabilitation fills the defects of insufficient opportunities for follow-up because of long distances or high costs [ , ], and patients can assess their own barriers and develop corresponding training plans by conducting rehabilitation programs at home [ ]. These advantages provide an opportunity to facilitate the treatment of children and adolescents with ABI, which keeps these individuals safe, improves outreach, and ensures compliance with rehabilitation programs [ , ].A review by Corti et al [
] described interventions for tele-technology training for children and adolescents with ABI and found significant effects after telerehabilitation interventions targeting cognitive and behavior disorders, suggesting that telerehabilitation at home is feasible [ , ]. However, some of the current telerehabilitation interventions are limited by expensive equipment [ ] or lack of supervision, which leads to low patient participation in rehabilitation or unsatisfactory intervention effects [ ]. Linden et al [ ] performed a meta-analysis of technology-based training programs for children and adolescents with ABI. Only one report showed significant differences between the intervention and control groups in improving problem-solving and sentence recall, which are important components of executive function. However, these findings may be limited by the small number of participants included in the study, insufficient information, and limited measures of outcome assessments. Wade et al [ ] reported that a technology-assisted intervention effectively improved behavioral problems and executive function in children and adolescents with brain injury. However, these results were limited by the small sample size, heterogeneity, and lack of a control group. A review by Beckers et al [ ] reported on the efficacy of home regimens for children and adolescents with cerebral palsy of the upper limbs and showed that family therapy programs for children and adolescents with cerebral palsy were feasible, but a meta-analysis could not be performed because of expected clinical and methodological heterogeneity.In summary, several articles were published on telerehabilitation interventions for children and adolescents with ABI, but the effectiveness of internet-based teletherapy at home has not been clearly defined because of small sample sizes, lack of control groups, and the heterogeneity of research methods.
Aims of This Review
This study reviewed randomized controlled studies of web-based teletherapy interventions and analyzed the data of various outcomes after web-based intervention in children and adolescents with ABI, including motor function, executive function, physical activity level, lower limb strength, hand and upper limb function, visual processing skills, and occupational function performance, to provide evidence-based rehabilitation options that use the internet for new treatment strategies for children and adolescents with brain injuries.
Methods
Study Registration
This systematic review and meta-analysis is reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement [
]. An initial review protocol was preregistered on PROSPERO (CRD42023421917).Literature Search Strategies
Computer retrieval was the main method used, and the search databases included PubMed, Embase, Cochrane Library, Web of Science, and Scopus. The period considered for inclusion in the study ranged from the establishment of each database to December 2022. There was no limit to the type of literature, which included journal literature, conference papers, and dissertations.
Searches were performed using a combination of Medical Subject Headings terms and entry terms. The corresponding retrieval formula is formulated according to the characteristics of each database (
).Consider PubMed as an example
- (Telerehabilitation[MeSH Terms]) OR (Telerehabilitation[Title/Abstract])) OR (Tele-rehabilitation[Title/Abstract])) OR (Tele rehabilitation[Title/Abstract])) OR (Tele-rehabilitations[Title/Abstract])) OR (Remote Rehabilitation[Title/Abstract])) OR (Rehabilitation, Remote[Title/Abstract])) OR (Rehabilitations, Remote[Title/Abstract])) OR (Remote Rehabilitations[Title/Abstract])) OR (Virtual Rehabilitation[Title/Abstract])) OR (Rehabilitation, Virtual[Title/Abstract])] OR [Rehabilitations, Virtual[Title/Abstract]]) OR (Virtual Rehabilitations[Title/Abstract])) OR (web)) OR (home)) AND ((((((((brain) OR (cranial)) OR (cerebral)) OR (head)) OR (intracranial)) OR (fossa)) OR (subarachnoid)) OR (cerebrocranial))) AND (((children) OR (pediatric)) OR (adolescents)).
shows specific search formulas.
Study Selection Process
Two review authors independently selected studies according to the inclusion and exclusion criteria and discussed or consulted third-party opinions when there was disagreement. Duplicate studies were first removed from literature screening, and titles and abstracts were read to exclude irrelevant studies. After removing articles that were not randomized controlled trials (RCTs), the full text was read to obtain the final included studies.
Literature Inclusion Criteria
The following criteria were used for inclusion in the review:
- Diagnosis of ABI (included in the category of acquired brain damage of a traumatic nature, eg, falls, assaults, sports injuries, pedestrian injuries, and bicycle or motorcycle crashes) and nontraumatic injuries (eg, stroke, infectious disease, brain tumors, lack of oxygen, and toxic exposure). Patients with acquired brain damage were considered eligible for the review only if they were in a chronic phase (ie, at least 1 year after injury).
- Children and adolescents (aged <18 years).
- Able to follow instructions sufficient to participate in simple computer games.
- Able to access the internet at home (ie, phone line or internet access).
- RCTs.
- The included literature evaluated the effectiveness of web-based telerehabilitation programs for children and adolescents with brain injury (including web-based interventions provided training equipment for patients to use at home) by comparing with no training or usual care. Rehabilitation programs may include telemedicine rehabilitation training, virtual game training at home, computer-assisted training modules, and robotic devices that may be used at home under third-party guidance or independently [ ].
- All participants were divided into 2 groups: the intervention group (web-based telerehabilitation) and the control group (no training or usual care).
Exclusion Criteria
The exclusion criteria for the study subjects were as follows: (1) progressive neurological disorder, severe concurrent illness, or disease not typically associated with ABI; (2) severe sensory, motor, cognitive, and visual deficits that could not be corrected using compensatory tools and interfered with training execution and assessment; (3) a diagnosis of photosensitive epilepsy, as computer-based stimulation could produce negative health effects in these patients; and (4) any surgical or medical intervention in the 6 months before starting the study.
Literature exclusion criteria were as follows: (1) not English literature, (2) not using internet intervention at home, (3) duplicate published literature, (4) unavailable full text or unable to extract data, and (5) animal experiments.
Outcome Measures
The primary outcome measure in the literature was motor function. The evaluation tools included the Gross Motor Function Measure-66 (GMFM-66), Bruininks-Oseretsky Test of Motor Proficiency (BOTMP), and Assessment of Motor and Process Skills (AMPS).
The secondary outcomes included physical activity level, lower limb strength, visual processing skills, executive function, hand and upper limb function, balance function, and the Canadian Occupational Performance Measure (COPM).
Data Extraction
Two independent review authors extracted and checked the data, which included basic information on the included studies (first author, year, and country), data profile (sample size, mean, and SD), interventions (type and duration of follow-up), and outcome measures.
Literature Quality Assessment
The methodological quality of the included studies was assessed using the Cochrane Collaboration Tool [
, ]. The scale items were divided into 7 areas: random sequence generation (selection bias), allocation concealment (selection bias), blinding of participants and personnel (performance bias), binding of outcome assessment (detection bias), incomplete outcome data (attrition bias), selective reporting (reporting bias), and other biases. Each criterion was rated as low, high, or unclear risk [ ]. To draw conclusions about the overall risk of bias within or across trials, we summarized assessments across items in the tool for each outcome within each trial [ ]. Two independent investigators performed the assessments and discussed or consulted third parties when the results were inconsistent.Certainty Assessment
The quality of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADEpro GDT, web-based version) professional guideline development tool. RCTs start with a “high” quality of evidence, and the quality of evidence is upgraded or downgraded based on the following assessment: (1) risk of bias, (2) inconsistency, (3) indirectness, (4) imprecision, and (5) publication bias [
].Publication Bias
Publication bias was assessed visually using a funnel plot and statistically using the Egger test [
].Statistical Analysis
RevMan5 software [
] was used for statistical analyses. For studies included in the meta-analysis, the sample size, mean, and SD of the primary outcomes were extracted for the intervention and control groups. When the measurement method or unit was inconsistent, a standardized mean difference was used. Because the outcome assessment scales were different, a random-effects model was used for data analysis. The Cochrane Q (chi-square test) and I2 statistics were used to evaluate the heterogeneity of the included studies. The significance level for the chi-square test was set at P<.10, indicating heterogeneity. An I2 value of 0% to 40% was considered not important, 30% to 60% indicated moderate heterogeneity, 50% to 90% indicated substantial heterogeneity, and 75% to 100% indicated considerable heterogeneity [ ].Subgroup Analysis
Subgroup analyses were performed to test for differences in scoring scales (GMFM-66, AMPS, and BOTMP), intervention duration (<12 and ≥12 weeks), interaction with medical professionals (interaction and no interaction), test sample size (<50 and ≥50 participants), and nation (Asian, Europe, Oceania). According to the Cochrane Handbook [
], the typical advice for undertaking simple regression analyses is that at least 10 observations (ie, 10 studies in a meta-analysis) should be available for each characteristic modeled.Sensitivity Analysis
In the case of considerable heterogeneity, a sensitivity analysis was performed, a Galbraith plot was constructed, outliers were identified by omitting one study at a time from the study pool, and their corresponding level of heterogeneity was rechecked.
Results
Results of the Literature Search
The literature search identified a total of 52,022 records on December 3, 2022. A total of 9530 records were collected from PubMed, 9406 from Scopus, 21,066 from Embase, 1382 from the Cochrane Library and 10,638 from the Web of Science databases.
After removing duplicates (n=27,263), the titles of 23,867 records were screened. On the basis of the title, 23,499 records were excluded because of irrelevant content or formatting. A careful reading of the full text removed 351 articles, and 17 articles were finally included after 2 researchers independently reached a consensus.
The literature screening process and results are shown in
.Basic Characteristics of the Included Studies
The definitive analysis of this systematic review included 17 studies published between 2012 and 2022 that reported on web-based telerehabilitation interventions for 848 children and adolescents with brain injury from China, Australia, and 4 other countries.
shows the basic characteristics of the 17 included studies [ - ]. The categories of ABI included were diverse (eg, cerebral palsy, brain tumors, and other types of brain injuries). Except for one study that included children aged <5 years, participants in the other studies were distributed from ages 6 to 18 years.Study | Nation | Group | Age (years) | Disease | Inclusion criteria | Exclusion criteria | |
Intervention, n | Waitlist control, n | ||||||
Chen et al [ | ]China | 13 | 15 | 6-12 | CPa |
|
|
Chiu et al [ | ]China | 32 | 30 | 6-13 | CP |
|
|
Conklin et al [ | ]America | 34 | 34 | 8-16 | ALLc or BTd |
|
|
Corti et al [ | ]Italy | 18 | 14 | 11-16 | ABIe |
|
|
Farr et al [ | ]England | 15 | 15 | 5-16 | CP |
|
|
Baque et al [ | ]Australia | 29 | 29 | 8-16 | ABI |
|
|
Lai et al [ | ]America | 23 | 26 | 10-19 | CP |
|
|
Sakzewski et al [ | ]Australia | 29 | 29 | 8-16 | ABI |
|
|
Tianming [ | ]China | 20 | 20 | 1.5-4.8 | CP |
|
|
M Piovesana et al [ | ]Australia | 51 | 50 | 8-18 | CP |
|
|
Mitchell et al [ | ]Australia | 51 | 50 | 8-17 | CP |
|
|
Pin and Butler [ | ]China | 9 | 9 | 6-14 | CP |
|
|
Piovesana et al [ | ]Australia | 29 | 29 | 8-16 | ABI |
|
|
Sabel et al [ | ]Sweden | 7 | 6 | 7-17 | BT |
|
|
Sabel et al [ | ]Sweden | 7 | 6 | 7-17 | BT |
|
|
James et al [ | ]Australia | 51 | 50 | 8-18 | CP |
|
|
Wang e al [ | ]China | 9 | 9 | 5-12 | CP |
|
|
aCP: cerebral palsy.
bGMFCS: Gross Motor Function Classification System.
cALL: acute lymphoblastic leukemia.
dBT: brain tumor.
eABI: acquired brain injury.
fRT: radiation therapy.
The treatment protocols for web-based remote interventions included in this study were different. The main intervention methods, evaluation indicators, and intervention effects in each study are presented in
. There were various intervention methods (ie, training in a variety of game programs, including Mitii and Wii Fit or home-based virtual bicycle training), and the intervention time and frequency were different. Specific exercise prescription parameters have not been clearly defined. According to the RCT articles included in this study, the main treatment prescription was computer game training, 30 minutes each time, 3 to 6 times per week for more than 8 weeks [ , - , - , - ].Included studies | Type of intervention | Therapeutic parameters | Projects for intervention | Time of assessment | Outcome measures | Effect of intervention |
Chen et al [ | ]Internet-based cycling training at home | 40 min/day, 3 times per week for 12 weeks | A 5 min warm-up exercise, 20 repetitions of sitting-to-standing movements, cycling for 20 min, and a cool-down exercise for 5 min. | Week 0, week 12 | Gross motor function of the BOTMPa, muscle strength | The knee muscle strength of children with cerebral palsy in the treatment group was enhanced. |
Chiu et al [ | ]Home-based Wii Sports Resort training plus usual therapy | 40 min/day, 3 times a week for 6 weeks | Four Wii Sports Resort games, from easiest to hardest—bowling, air sports, frisbee, and basketball. | Week 0, week 6, and week 12 | Coordination, strength, hand function, carers’ perception of hand function | The treatment group had higher grip strength than the control group. |
Conklin et al [ | ]Computerized cognitive training programs | 25 training sessions at home, 30-45 min/session for 5-9 weeks | Visual-spatial and verbal WMb exercises presented as games. Participants demonstrating slower-than-desired progress were offered 5 additional sessions. | Pre- and posttraining | Working memory, attention, processing speed, executive dysfunction | Working memory, attention, and processing speed improved in the treatment group and executive dysfunction was greatly reduced. |
Corti et al [ | ]Remote computerized cognitive training | 20 min/day, 5 times a week in 8 weeks | 5 games were chosen for this study, each stimulating one of the target cognitive domains. Each game was used twice a day for a total of 10 daily exercises. | Week 1, week 10, week 19, and 6 months | Visual-spatial working memory, cognitive flexibility, arithmetic calculation, problem-solving, psychological adjustment | Working memory and arithmetic speed improved in the treatment group. |
Farr et al [ | ]Wii Fit active computer games | 30 min, 3 times per week for 12 weeks | Nintendo Wii Fit plus games (12 programs) | Week 0, week 6, and week 12 | Gross Motor Function Measure-66, the TUGc, BOTMP, Goal Attainment Scale, Strengths and Difficulties Questionnaire | Potential therapeutic benefit |
Baque et al [ | ]Mitii program | 30 min/day, 6 days a week for 20 weeks | Mitii program from 12 available modules including (1) gross motor, (2) combined cognitive and visual perception, and (3) upper limb activities. Gross motor activities included sit-to-stands, squats, lunges, aerobic and balance tasks. Daily programs comprised of approximately 40% gross motor and 60% cognitive-upper limb modules. | Week 0 and week 20 | 30-second, repetition maximum functional strength tests for the lower limb; 6-minute walk test; high-level Mobility Assessment Tool; TUG; habitual physical activity | Functional strength improved in the treatment group. |
Lai et al [ | ]M2Md program | 3 times per week for 4 weeks | M2M included videos that participants were asked to complete 3 times each week at home. In week 1, the prescription generally included a total of 48 minutes of video time, which included a mixed range of motion exercise routines with guided instructions. In weeks 2 and 3, the patients were prescribed 70 minutes of video time. Week 2 included 2 mix ed range-of-motion and muscle-strengthening routines. Week 3 included 2 range of motion routines and 1 strengthening routine. In week 4, participants were prescribed 100 minutes of video time, which included 2 range-of-motion exercise routines, 1 for strength, and 1 for cardiovascular exercise. | Pre- and posttraining | LTPAe, pain, and fatigue | LTPA improved in the treatment group. |
Sakzewski et al [ | ]Mitii program | 30 min/day, 6 days a week for 20 weeks | 11 available modules in Mitii with 60% targeting combined cognitive, visual perceptual, and upper limb activities, and 40% focused on gross motor activities. | Week 0 and week 20 | AMPSf, Melbourne Assessment of Unilateral Upper Limb Function, Jebsen–Taylor Test of Hand Function, Test of Visual Perceptual Skills, Assisting Hand Assessment, COPMg | Negligible changes |
Tianming [ | ]Remote home rehabilitation | More than 1.5 hours per day, 5 days per week for 12 weeks | According to the limb function of children, combined with the demands of children and parents, and according to their home environment, interests, the number of children under care and other factors, an individualized remote home rehabilitation training plan was formulated. For spastic disease, all training items were filmed in the whole process and participants were equipped with written materials to explain the training plan and training actions. A training scale was developed that included the training time, frequency, and cooperation status of children. Video rehabilitation. | Pre- and posttraining | GMFM-66h, balance function, spasticity degree of hamstring and gastrocnemius on the affected side, measurement of ankle joint range of motion | The motor function, balance function, ankle joint range of motion, and muscle tension of the treatment group were significantly improved. |
M Piovesana et al [ | ]Mitii program | 20-30 min/day, 6 days a week for 20 weeks | Mitii consists of upper limb, cognitive, visual perceptual and physical activity training. Selected from 14 training modules. The training modules include approximately 60% visual perceptual, upper limb and cognitive games, and 40% physical activity games. | Pre- and posttraining | Attentional control, cognitive flexibility, goal setting, information processing; EFi performance was assessed via parent report | Mitii has potential to intervene in executive function. |
Mitchell et al [ | ]Mitii program | 30 min/day, 6 days a week for 20 weeks | Each program was set up such that physical activity games were interspersed with upper limb and visual perceptual games. Gross motor exercises comprised approximately 40% of the overall program. The intensities of lower-limb strength exercises for week 1 was determined by setting tasks at approximately 75% of repetition maximum determined during baseline assessments. On average, week 1 started with 7 activities of between 5 repetitions and 10 repetitions lasting approximately 60 seconds per activity, and progressed to 11 games of up to 20 repetitions lasting approximately 90 seconds with the addition of step blocks and balance foam. | Pre- and posttraining | Maximal repetitions of functional strength tasks, 6-minute walk test | Functional strength and walking endurance improved in the treatment group. |
Pin and Butler [ | ]Interactive computer play training | 20 min/day, 4 times per week for 6 weeks | All children played the computer game sitting with hips and knees at 90° and both feet supported. The game was started at a medium-low level of difficulty. If the child was unable to score for 3 consecutive trials, the difficulty level was reduced by 1 level. Similarly, if the child scored full points for 3 consecutive trials, the difficulty level was raised by 1 level. | Week 0, week 3, week 6, week 12 | Pediatric Reach Test, GMFM-66, 2-Minute Walk Test | A 6-week interactive computer play training was feasible and safe for children with moderate cerebral palsy. |
Piovesana et al [ | ]Mitii program | 20-30 min/day, 6 days a week for 20 weeks | Therapists selected from the 11 available Mitii modules which included modules targeted to (1) gross motor or physical activity (eg, repetitive star jumps), (2) combined cognitive and visual perception (eg, match the concepts), or (3) upper limb (eg, moving upper limb to solve a mathematical problem). Modules were selected for an individualized program time of 30 minutes. Programs were designed to include 40% gross motor and 60% cognitive-upper limb training modules. | Pre- and posttraining | Attentional control, cognitive flexibility, goal setting, and information processing; Delis-Kaplan Executive Functioning System; Comprehensive Trail Making Test; Tower of London; Test of Everyday Attention for Children | There is no additional benefit compared to standard care. |
Sabel et al [ | ]Active video gaming | 30 min/day, at least 5 days a week for 10-12 weeks | The Nintendo Wii is controlled by one or 2 hand-held remote controls and requires movement to play the games. Each child received 2 pairs of controls, which enabled them to play with friends, and a balance board, the Wii Fit. As the intensity of the games varied, participants were instructed to start every session with a physically more demanding game for at least 10 min, before considering switching to a slower-paced game, such as a balance game. | Pre- and posttraining | Gaming time and compliance, physical activity levels, physical functioning | Physical coordination improved in the treatment group. |
Sabel et al [ | ]Active video gaming | 30 min/day, at least 5 days a week for 10-12 weeks | Nintendo Wii, an off-the-shelf, motion-controlled video console, was used for home-based physical exercise during the intervention period, for a minimum of 30 minutes per day, at least 5 days per week, for 10 to 12 weeks. Games were chosen to mainly stimulate physical activity but also included less physically demanding games, such as balance games, using the Wii Fit balance board accessory. | Pre- and posttraining | AMPS, cognitive assessment, execution of activities of daily living | Motor and process skills in activities of daily living improved in the treatment group. |
James et al [ | ]Mitii program | 20-30 min/day, 6 days per week for 20 weeks | Therapists selected from 14 training modules to devise a program that included approximately 60% cognitive or visual perceptual activities combined with upper limb (predominantly the impaired upper limb), and 40% gross motor activities. | Pre- and posttraining | AMPS, assisting hand assessment, JTTHFj, Melbourne Assessment of Unilateral Upper Limb Function, COPM, TVPS-3k | AMPS, JTTHF dominant upper limb, COPM, and TVPS-3 improved in the treatment group. |
Wang et al [ | ]CITl plus Wii-augmented CIT | 2.25 hours per session and 2 sessions per week for 8 weeks | To elicit various motor skills, multiple games were used (eg, Wii Sports Resort, Wii Sports, Mario Sports Mix, Cooking Mama: Cook Off, Let’s Tap, and Happy Dance Collection). | Week 0, week 4, and week 8 | BOTMP, Revised Pediatric Motor Activity Log, ABILHAND-Kids, Functional Independence Measures for Children, Parenting Stress Index–Short Form, Test of Playfulness, Engagement Questionnaire | CIT-Wii yields no significant difference in treatment effects from conventional CIT and may provide psychosocial benefits. |
aBOTMP: Bruininks-Oseretsky Test of Motor Proficiency.
bWM: working memory.
cTUG: Timed up and Go test.
dM2M: Movement-to-Music.
eLTPA: leisure-time physical activity.
fAMPS: Assessment of Motor and Process Skills.
gCOPM: Canadian Occupational Performance Measure.
hGMFM-66: Gross Motor Function Measure-66.
iEF: executive function.
jJTTHF: Jebsen–Taylor Test of Hand Function.
kTVPS-3: Test of Visual Perceptual Skills.
lCIT: constraint-induced therapy.
A total of 10 studies [
, , , , , , - ] assessed motor function, 5 studies [ , , , , ] assessed physical activity level, 3 studies [ , , ] assessed lower limb strength, 5 studies [ , , , , ] assessed visual processing skills, 3 studies [ , , ] assessed working memory, 3 studies [ , , ] assessed attention, 2 studies [ , ] assessed processing speed, 4 studies [ , , , ] assessed executive function, 2 studies [ , ] assessed hand function, 4 studies [ , , , ] assessed upper limb function, 4 studies [ , , , ] assessed balance function, and 2 studies [ , ] assessed occupational performance.Risk of Bias
and [ - , , - , ] show the risk of bias assessments. We categorized high, low, or unclear risk of bias for all 17 included studies [ - ]. The greatest risk of bias was due to the blinding of participants and personnel, because the nature of rehabilitation physical activity interventions makes it difficult to blind patients or health care providers. One study [ ] had a high risk of blinding outcome assessment in unblinded outcome assessors. There was no high risk of bias in the randomized sequence generation, allocation concealment, incomplete outcome data, or selective reporting.
After summarizing the assessments across items in the tool for each outcome within each trial, the results showed that motor function, physical activity level, lower limb strength, visual processing skills, letter-number sequencing, arithmetic calculation, working memory, attention, coding, symbol search, cognitive flexibility, executive function, upper limb and hand function, balance function, and occupational performance were at a high risk of bias within and across trials (
).Results of the Meta-Analysis
Effect on Motor Function
We included 10 studies (377 individuals) [
, , , , , , - ] in the meta-analysis. Regarding motor function, 4 studies used the BOTMP scale [ ], 2 studies used the GMFM-66 scale, and 4 studies used the AMPS motor skills.The results showed that there were significant differences between the treatment and control groups, and the treatment group had better motor function than the control group with insignificant heterogeneity (standardized mean difference [SMD] 0.29, 95% CI 0.01-0.57, P=.04; heterogeneity: I2 39%; P=.10;
[ , , , , , , - ]).To better evaluate the results, subgroup analysis of motor function was performed according to scoring scales, intervention duration, interaction with medical professionals, test sample size, and nation. However, there was no significant difference in the subgroup analysis of motor function (
).Effect on Physical Activity Level
A total of 5 studies (232 individuals) measured physical activity levels, 2 of which [
, ] used functional strength composite training, 1 [ ] used leisure-time physical activity, 1 [ ] used BOTMP, and another study [ ] used 2-minute walk test to measure physical activity levels. The results showed that the intervention group based on web therapy had significantly better physical activity levels than the control group with insignificant heterogeneity (SMD 0.42, 95% CI 0.11-0.73, P=.007; heterogeneity: I2=20%; P=.29; [ , , , , ]).Effect on Lower Limb Strength
A total of 3 studies (180 individuals) [
, , ] explored the effects of web-based telerehabilitation programs on lower extremity strength. These results were pooled to show a significant improvement in lower extremity strength in the treatment group with insignificant heterogeneity (SMD 0.52, 95% CI 0.13-0.90, P=.009; heterogeneity: I2=33%; P=.22; [ , , ]).Effect on Visual Processing Skills
The results of the 5 included studies (350 individuals) [
, , , , ] showed that there were significant differences between the treatment and control groups and that the treatment group performed better than the control group by performing web-based telerehabilitation training at home (SMD 0.26, 95% CI 0.02-0.50, P=.04; heterogeneity: I2=20%; P=.29; [ , , , , ]).Effect on Executive Function
As executive function encompasses multiple aspects, this study analyzed working memory, attention, processing speed, cognitive flexibility, and executive function.
Working memory was assessed using the Woodcook-Johnson III Achievement Test, which includes letter-number sequencing, arithmetic calculation, and working memory. Two studies [
, ] assessed letter-number sequencing and showed that the treatment group had better letter-number sequencing than the control group with no heterogeneity (SMD 1.26, 95% CI 0.26-2.26; P=.01; heterogeneity: I2=0%; P=.92). Two studies [ , ] assessed arithmetic calculation and showed no significant difference in arithmetic calculation between the treatment and control groups (SMD=0.46, 95% CI −0.73 to 1.65, P=.45; heterogeneity: I2=0%, P=.85). Two studies [ , ] assessed working memory and showed no significant difference in working memory between the treatment and control groups (SMD 3.59, 95% CI −3.10 to 10.27, P=.29; heterogeneity: I2=73%, P=.05).Three studies (221 individuals) [
, , ] used the Digit Span Test or Children’s Daily Attention Test to assess attention function. The results showed a significant increase in attention in the treatment group compared to the control group, accompanied by insignificant statistical heterogeneity (SMD 0.38, 95% CI 0.09-0.66, P=.009; heterogeneity I2=9%, P=.33).Processing speed was assessed using the Wechsler Individual Achievement Test, which contains coding and symbol searches. Two studies [
, ] assessing coding showed no significant difference in coding between the treatment and control groups (SMD 0.63, 95% CI −0.63 to 1.90; P=.32; heterogeneity: I2=40%; P=.20). Two studies [ , ] assessed symbol search, and the treatment group had a better symbol search than the control group (SMD 1.18, 95% CI 0.43-1.93; P=.002; heterogeneity: I2=0%; P=.52). Four studies (253 individuals) [ , , , ] used the Behavior Rating Inventory of Executive Function to assess cognitive flexibility, and 3 studies (221 individuals) [ , , ] assessed executive function. However, the results showed that there was no statistically significant difference between the treatment and control groups (SMD −0.69, 95% CI −3.06 to 1.69; P=.57; heterogeneity: I2=40%; P=.17; SMD −0.25, 95% CI −0.52 to 0.01, P=.06; heterogeneity: I2=0%, P=.76).The summary results are shown in
, and the forest plots are shown in [ , , , ].Result | Number of studies included | SMDa (95% CI) | P value | Heterogeneity | |
I2, % | P value | ||||
Letter-number sequencing | 2 | 1.26 (0.26 to 2.26) | .01 | 0 | .92 |
Arithmetic calculation | 2 | 0.46 (–0.73 to 1.65) | .45 | 0 | .85 |
Working memory | 2 | 3.59 (–3.10 to 10.27) | .29 | 73 | .05 |
Attention | 3 | 0.38 (0.09 to 0.66) | .009 | 9 | .33 |
Coding | 2 | 0.63 (–0.63 to 1.90) | .32 | 40 | .20 |
Symbol search | 2 | 1.18 (0.43 to 1.93) | .002 | 0 | .52 |
Cognitive flexibility | 4 | −0.69 (–3.06 to 1.69) | .57 | 40 | .17 |
Executive function | 3 | −0.25 (–0.52 to 0.01) | .06 | 0 | .76 |
aSMD: standardized mean difference.
Effect on Other Outcome Measures
For hand and upper limb function, 4 studies (237 individuals) [
, , , ] and 2 studies (159 individuals) [ , ] evaluated whether web-based telerehabilitation programs had an impact on these functions. The results showed no significant difference between the treatment and control groups (SMD −0.08, 95% CI −0.33 to 0.18; P=.55; heterogeneity: I2=0%; P=.96; SMD 1.37, 95% CI −3.28 to 6.02; P=.56; heterogeneity: I2=0%; P=.67).The results of the 4 included studies (107 individuals) [
, , , ] showed no significant difference in balance between the treatment and control groups (SMD 0.45, 95% CI −0.15 to 1.06; P=.14; heterogeneity: I2=57%; P=.07). Two studies (159 individuals) [ , ] assessed occupational function using the COPM, and the results showed no significant differences between the treatment and control groups (SMD 0.51, 95% CI −1.04 to 2.06; P=.52; heterogeneity: I2=90%; P=.002).The summary results are shown in
, and the forest plots are shown in [ , , , , , , , ].Result | Number of studies included | SMDa (95% CI) | P value | Heterogeneity | |
I2, % | P value | ||||
Hand function | 4 | −0.08 (−0.33 to 0.18) | .55 | 0 | .96 |
Upper limb function | 2 | 1.37 (−3.28 to 6.02) | .56 | 0 | .67 |
Balance function | 4 | 0.45 (−0.15 to 1.06) | .14 | 57 | .07 |
COPMb | 2 | 0.51 (−1.04 to 2.06) | .52 | 90 | .002 |
aSMD: standardized mean difference.
bCOPM: Canadian Occupational Performance Measure.
Sensitivity Analyses
Galbraith plots were drawn and sensitivity analyses were performed using methods that removed individual studies to determine the reasons for heterogeneity in balance outcomes. Through the Galbraith plot, we found that the study by Luan et al [
] intersects the 95% CI regression line, suggesting that this may be the source of the heterogeneity anomaly ( [ , , , ]). After the removal of the study by Luan et al [ ], the outcome of balance function was still not statistically significant (SMD 0.17, 95% CI −0.31 to 0.66; P=.48), but there was a statistically significant decrease in heterogeneity (I2=0%; P=.57). No Galbraith plots were created for the COPM outcome because only 2 studies were included.Certainty of Evidence
GRADEpro GDT was used to evaluate the quality of evidence. The level of evidence was initially “high” because most of the included studies were RCTs (17/17, 100%). Because the nature of rehabilitation makes blinding of participants and health care providers difficult, all studies have one domain that is at high risk of bias, which means that all studies are at high risk of bias. It is sufficient to affect the interpretation of results, so it has to be downgraded by 2 levels for the risk of bias for all outcomes. Moderate inconsistencies in balance function (I2=57%) and large inconsistencies in working memory and occupational performance (I2=73% and I2=90%), so the quality of inconsistencies for balance function was downgraded by 1 level, and for working memory and occupational performance were downgraded by 2 levels. All outcomes were assessed using standardized scales; therefore, the quality of indirectness for all the results was not downgraded. As the pooled effect sizes of the 95% CI for arithmetic calculation, working memory, coding, cognitive flexibility, executive function, hand and upper limb function, balance function, and occupational performance contained null values, the quality of evidence for these results was downgraded by 1 level of imprecision. Egger test for publication bias was conducted for the meta-analysis of motor function. The results showed that the P value was insignificant (P=.21), and the funnel plot appeared asymmetrical (
). Thus, publication bias was unlikely; hence, the quality of evidence was not downgraded because of the absence of publication bias.In summary, the quality was moderate in the outcome of motor function. The outcomes of physical activity level, lower extremity strength, visual processing skills, letter-number sequencing, attention, and symbol search were low quality. Arithmetic calculations, working memory, coding, cognitive flexibility, executive function, hand and upper limb function, balance function, and occupational performance were of very low quality (
).Discussion
Principal Findings
A total of 17 RCTs on the effects of web-based telerehabilitation programs on children and adolescents with ABI were included. The results showed that in the primary outcome of motor function, as assessed using the GMFM-66, BOTMP, and AMPS, the treatment group showed better improvement than the usual rehabilitation group.
Regarding secondary outcomes, the physical activity level and lower limb strength of children and adolescents with ABI significantly improved, which is consistent with the improvement in motor function. The visual performance of children and adolescents with ABI in the treatment group was better than that in the control group, which may be due to the enrichment of spatial items and bright colors of visual stimuli in these game training modules, and the children and adolescents’ visual discrimination and visual sequential memory abilities were improved [
, ].However, the outcomes with no statistically significant results, such as working memory, executive ability, cognitive flexibility, balance function, hand and upper limb function, and COPM, may be due to the small sample size, large differences in sample characteristics, or the inclusion of data from only 1 or 2 studies, which could not evaluate the overall training results. The types of brain injury and intervention programs differed between the included studies, and these interventions were heterogeneous in nature. Therefore, further studies are needed to explain the results of this systematic review and meta-analysis.
Discussion of Subgroup Analyses
In the inclusion of the studies, 10 studies contained the results of motor function. After subgroup analyses according to scoring scales, intervention duration, interaction with medical professionals, test sample size, and nation, the results were not significant, which may be due to the small number of studies included and the small sample size in each subgroup; thus, there was a nonsignificant effect size.
Advantages of Web-Based Intervention
For motor function, the interventions included in the literature included Wii Fit computer games, Mitii training programs, and home-based virtual bicycle training, which are more novel, interesting, and attractive to children and adolescents. Once weekly, remote supervision [
] allowed therapists to adjust the training plan in a timely manner according to the training effect of children and adolescents, increase the difficulty of training in a stepwise manner, and ensure the normal progress of the intervention. Because the training was performed at home, the children’s and adolescents’ vigilance was lower, and they were more inclined to participate in the training in the company of their parents, which reduced the possibility of children and adolescents being nervous and afraid to participate in the training in the hospital and alleviated the training effect. Movement disorders in children and adolescents with brain injuries often require effective long-term intervention [ ]. Therefore, it is important for children and adolescents to be actively involved in the treatment. Otherwise, secondary injury caused by insufficient physical activity will cause further damage and lead to more serious consequences [ ], such as decreased muscle strength or psychological problems [ , ].For secondary outcomes, children and adolescents with ABI showed improvements in physical activity level, lower limb strength, letter-number sequencing, attention, and symbol search with unimportant heterogeneity and more precise estimates of cognitive domains compared with previous meta-analyses [
].Limitations
This study has several limitations. First, only English literature was included, which may have missed relevant studies. Second, 5 databases, including PubMed, Web of Science, Embase, Scopus, and Cochrane Library, were searched; however, the search platform may not be sufficiently comprehensive, and some articles may have been overlooked. Third, owing to the nature of rehabilitation treatment, it was impossible to blind the participants and therapists. Some studies did not explain whether the evaluators were blinded and how the allocation was concealed, and there may have been a blinding bias. Fourth, there was a certain degree of heterogeneity in the different population categories and exercise prescriptions included in the study. Fifth, because part of the data were the result of the questionnaire surveys, there may be subjective bias. Sixth, no separate analysis was performed for the untreated and routine care groups. Finally, some studies had follow-up data, but the intervention effect was not obvious after the follow-up, which may be due to the short intervention time or other factors. Therefore, it is difficult to evaluate long-term effects.
Future Directions
Future studies should search more databases, include more populations, study the effects of web-based telerehabilitation programs on children and adolescents with different types of brain injuries, and collect more follow-up data on long-term rehabilitation.
Conclusions
In conclusion, this study showed that web-based telerehabilitation programs helped improve motor function, physical performance, lower limb strength, letter-number sequencing, attention, symbol search, and visual processing skills in children and adolescents with ABI. Web-based telerehabilitation interventions provided great convenience for children and adolescents with ABI who need long-term treatment, and the widespread implementation of remote interventions also provided children and adolescents in remote areas where rehabilitation services are harder to access the opportunity to obtain the treatment they needed. Overall, web-based telerehabilitation programs are safe, effective, and enjoyable physical therapy methods. Future studies could expand the sample size according to the type of disease and increase the follow-up time according to different exercise prescriptions to further refine the long-term effects of this intervention on various functions in children and adolescents with ABI.
Acknowledgments
This study was funded by grants from the Jilin Province Science and Technology Department Project (grant 20210204200YY). The funding sources played no role in the design, implementation, data analysis, interpretation, or reporting of this study. The content of this publication is solely the responsibility of the authors.
Data Availability
All data generated or analyzed during this study are included in the published article. All figures have been published in an open access journal.
Authors' Contributions
All authors were involved in drafting the article or revising it critically for important intellectual content. All authors approved the final version to be submitted for publication. LZ and JJ had complete access to all the study data and were responsible for the data’s integrity as well as the correctness of the data analysis. Study conception and design was conducted by KH and ZW. Data acquisition was done by XS, JY, and ZY. Data analysis and interpretation was conducted by ZW, KW, and LB. LZ and JJ are the corresponding authors of this manuscript, and both contributed equally. LZ completed the design of the article scheme, participated in and guided the completion of the article throughout, and JJ provided financial support.
Conflicts of Interest
None declared.
Search strategy.
DOCX File , 21 KBSummary of the assessment of risk of bias for each outcome within and across trials.
DOCX File , 17 KBResults of subgroup analysis of motor function.
DOCX File , 18 KBSummary of forest plots for executive function.
DOCX File , 635 KBSummary of forest plots for other outcomes.
DOCX File , 54 KBGalbraith plot of the balance outcome.
DOCX File , 114 KBEgger test for motor function.
DOCX File , 110 KBGrading of Recommendations Assessment, Development, and Evaluation quality evaluation of the outcomes.
DOCX File , 24 KBPRISMA 2020 Checklist.
PDF File (Adobe PDF File), 61 KBReferences
- Limond J, Leeke R. Practitioner review: cognitive rehabilitation for children with acquired brain injury. J Child Psychol Psychiatry. Apr 2005;46(4):339-352. [CrossRef] [Medline]
- Gmelig Meyling C, Verschuren O, Rentinck IR, Engelbert RH, Gorter JW. Physical rehabilitation interventions in children with acquired brain injury: a scoping review. Dev Med Child Neurol. Jan 2022;64(1):40-48. [FREE Full text] [CrossRef] [Medline]
- Thurman DJ. The epidemiology of traumatic brain injury in children and youths: a review of research since 1990. J Child Neurol. Jan 2016;31(1):20-27. [CrossRef] [Medline]
- Dewan MC, Mummareddy N, Wellons JC, Bonfield CM. Epidemiology of global pediatric traumatic brain injury: qualitative review. World Neurosurg. Jul 2016;91:497-509.e1. [CrossRef] [Medline]
- Nguyen R, Fiest KM, McChesney J, Kwon C, Jette N, Frolkis AD, et al. The international incidence of traumatic brain injury: a systematic review and meta-analysis. Can J Neurol Sci. Nov 2016;43(6):774-785. [CrossRef] [Medline]
- Chan V, Pole JD, Keightley M, Mann RE, Colantonio A. Children and youth with non-traumatic brain injury: a population based perspective. BMC Neurol. Jul 20, 2016;16:110. [FREE Full text] [CrossRef] [Medline]
- Barlow KM, Thomson E, Johnson D, Minns RA. Late neurologic and cognitive sequelae of inflicted traumatic brain injury in infancy. Pediatrics. Aug 2005;116(2):e174-e185. [CrossRef] [Medline]
- Kuhtz-Buschbeck JP, Hoppe B, Gölge M, Dreesmann M, Damm-Stünitz U, Ritz A. Sensorimotor recovery in children after traumatic brain injury: analyses of gait, gross motor, and fine motor skills. Dev Med Child Neurol. Dec 2003;45(12):821-828. [FREE Full text] [CrossRef] [Medline]
- Thøgersen CM, Glintborg C, Hansen TG, Trettvik J. Psychotherapeutic intervention for adults with acquired brain injury: a case study using BackUp. Front Rehabil Sci. 2022;3:771416. [FREE Full text] [CrossRef] [Medline]
- Rabinowitz AR, Juengst SB. Introduction to topical issue on mHealth for brain injury rehabilitation. J Head Trauma Rehabil. 2022;37(3):131-133. [CrossRef] [Medline]
- Smith BG, Tumpa S, Mantle O, Whiffin CJ, Mee H, Solla DJ, et al. Remote follow-up technologies in traumatic brain injury: a scoping review. J Neurotrauma. Oct 2022;39(19-20):1289-1317. [FREE Full text] [CrossRef] [Medline]
- Raso MG, Arcuri F, Liperoti S, Mercurio L, Mauro A, Cusato F, et al. Telemonitoring of patients with chronic traumatic brain injury: a pilot study. Front Neurol. 2021;12:598777. [FREE Full text] [CrossRef] [Medline]
- Subbarao BS, Stokke J, Martin SJ. Telerehabilitation in acquired brain injury. Phys Med Rehabil Clin N Am. May 2021;32(2):223-238. [FREE Full text] [CrossRef] [Medline]
- Ricker JH, Rosenthal M, Garay E, DeLuca J, Germain A, Abraham-Fuchs K, et al. Telerehabilitation needs: a survey of persons with acquired brain injury. J Head Trauma Rehabil. Jun 2002;17(3):242-250. [CrossRef] [Medline]
- Corti C, Oldrati V, Oprandi MC, Ferrari E, Poggi G, Borgatti R, et al. Remote technology-based training programs for children with acquired brain injury: a systematic review and a meta-analytic exploration. Behav Neurol. 2019;2019:1346987. [FREE Full text] [CrossRef] [Medline]
- Solana J, Cáceres C, García-Molina A, Opisso E, Roig T, Tormos JM, et al. Improving brain injury cognitive rehabilitation by personalized telerehabilitation services: Guttmann neuropersonal trainer. IEEE J Biomed Health Inform. Jan 2015;19(1):124-131. [CrossRef] [Medline]
- Holthe IL, Rohrer-Baumgartner N, Svendsen EJ, Hauger SL, Forslund MV, Borgen IM, et al. Feasibility and acceptability of a complex telerehabilitation intervention for pediatric acquired brain injury: the child in context intervention (CICI). J Clin Med. May 03, 2022;11(9):2564. [FREE Full text] [CrossRef] [Medline]
- Dhakal R, Baniya M, Solomon RM, Rana C, Ghimire P, Hariharan R, et al. TEleRehabilitation Nepal (TERN) for people with spinal cord injury and acquired brain injury: a feasibility study. Rehabil Process Outcome. 2022;11:11795727221126070. [FREE Full text] [CrossRef] [Medline]
- Linden M, Hawley C, Blackwood B, Evans J, Anderson V, O'Rourke C. Technological aids for the rehabilitation of memory and executive functioning in children and adolescents with acquired brain injury. Cochrane Database Syst Rev. Jul 01, 2016;7(7):CD011020. [FREE Full text] [CrossRef] [Medline]
- Wade SL, Narad ME, Shultz EL, Kurowski BG, Miley AE, Aguilar JM, et al. Technology-assisted rehabilitation interventions following pediatric brain injury. J Neurosurg Sci. Apr 2018;62(2):187-202. [FREE Full text] [CrossRef] [Medline]
- Beckers LW, Geijen MM, Kleijnen J, A A Rameckers E, L A P Schnackers M, J E M Smeets R, et al. Feasibility and effectiveness of home-based therapy programmes for children with cerebral palsy: a systematic review. BMJ Open. Oct 06, 2020;10(10):e035454. [FREE Full text] [CrossRef] [Medline]
- Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. Mar 29, 2021;372:n71. [FREE Full text] [CrossRef] [Medline]
- Ohlsson A. Systematic reviews--theory and practice. Scand J Clin Lab Invest Suppl. 1994;219:25-32. [CrossRef] [Medline]
- Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. Oct 18, 2011;343:d5928. [FREE Full text] [CrossRef] [Medline]
- Ades PA, Savage PD, Toth MJ, Harvey-Berino J, Schneider DJ, Bunn JY, et al. High-calorie-expenditure exercise: a new approach to cardiac rehabilitation for overweight coronary patients. Circulation. May 26, 2009;119(20):2671-2678. [FREE Full text] [CrossRef] [Medline]
- Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. Apr 26, 2008;336(7650):924-926. [FREE Full text] [CrossRef] [Medline]
- Yu T, Xu H, Sui X, Zhang X, Pang Y, Yu T, et al. Effectiveness of eHealth interventions on moderate-to-vigorous intensity physical activity among patients in cardiac rehabilitation: systematic review and meta-analysis. J Med Internet Res. Mar 29, 2023;25:e42845. [FREE Full text] [CrossRef] [Medline]
- RevMan 5. The Cochrane Collaboration. 2022. URL: https://community.cochrane.org/book_pdf/1416 [accessed 2023-10-23]
- Wu VX, Chi Y, Lee JK, Goh HS, Chen DY, Haugan G, et al. The effect of dance interventions on cognition, neuroplasticity, physical function, depression, and quality of life for older adults with mild cognitive impairment: a systematic review and meta-analysis. Int J Nurs Stud. Oct 2021;122:104025. [CrossRef] [Medline]
- Richardson M, Garner P, Donegan S. Interpretation of subgroup analyses in systematic reviews: a tutorial. Clin Epidemiol Global Health. Jun 2019;7(2):192-198. [FREE Full text] [CrossRef]
- Chen CL, Hong WH, Cheng HY, Liaw MY, Chung CY, Chen CY. Muscle strength enhancement following home-based virtual cycling training in ambulatory children with cerebral palsy. Res Dev Disabil. 2012;33(4):1087-1094. [CrossRef] [Medline]
- Chiu HC, Ada L, Lee HM. Upper limb training using Wii Sports Resort for children with hemiplegic cerebral palsy: a randomized, single-blind trial. Clin Rehabil. Oct 2014;28(10):1015-1024. [CrossRef] [Medline]
- Conklin HM, Ogg RJ, Ashford JM, Scoggins MA, Zou P, Clark KN, et al. Computerized cognitive training for amelioration of cognitive late effects among childhood cancer survivors: a randomized controlled trial. J Clin Oncol. Nov 20, 2015;33(33):3894-3902. [FREE Full text] [CrossRef] [Medline]
- Corti C, Urgesi C, Poggi G, Strazzer S, Borgatti R, Bardoni A. Home-based cognitive training in pediatric patients with acquired brain injury: preliminary results on efficacy of a randomized clinical trial. Sci Rep. Jan 29, 2020;10(1):1391. [FREE Full text] [CrossRef] [Medline]
- Farr WJ, Green D, Bremner S, Male I, Gage H, Bailey S, et al. Feasibility of a randomised controlled trial to evaluate home-based virtual reality therapy in children with cerebral palsy. Disabil Rehabil. Jan 2021;43(1):85-97. [CrossRef] [Medline]
- Baque E, Barber L, Sakzewski L, Boyd RN. Randomized controlled trial of web-based multimodal therapy for children with acquired brain injury to improve gross motor capacity and performance. Clin Rehabil. Jun 2017;31(6):722-732. [CrossRef] [Medline]
- Lai B, Vogtle L, Young R, Craig M, Kim Y, Gowey M, et al. Telehealth movement-to-music to increase physical activity participation among adolescents with cerebral palsy: pilot randomized controlled trial. JMIR Form Res. Oct 28, 2022;6(10):e36049. [FREE Full text] [CrossRef] [Medline]
- Sakzewski L, Lewis MJ, McKinlay L, Ziviani J, Boyd RN. Impact of multi-modal web-based rehabilitation on occupational performance and upper limb outcomes: pilot randomized trial in children with acquired brain injuries. Dev Med Child Neurol. Dec 2016;58(12):1257-1264. [FREE Full text] [CrossRef] [Medline]
- Tianming L. Application study on remote home rehabilitation of motor function in children with spastic cerebral palsy. Chin J Rehab Med. 2021;36(8) [CrossRef]
- M Piovesana A, Ross S, Lloyd O, Whittingham K, Ziviani J, Ware RS, et al. Randomized controlled trial of a web-based multi-modal therapy program for executive functioning in children and adolescents with unilateral cerebral palsy. Disabil Rehabil. Oct 2017;39(20):2021-2028. [CrossRef] [Medline]
- Mitchell LE, Ziviani J, Boyd RN. A randomized controlled trial of web-based training to increase activity in children with cerebral palsy. Dev Med Child Neurol. Jul 2016;58(7):767-773. [FREE Full text] [CrossRef] [Medline]
- Pin TW, Butler PB. The effect of interactive computer play on balance and functional abilities in children with moderate cerebral palsy: a pilot randomized study. Clin Rehabil. Apr 2019;33(4):704-710. [CrossRef] [Medline]
- Piovesana A, Ross S, Lloyd O, Whittingham K, Ziviani J, Ware RS, et al. A randomised controlled trial of a web-based multi-modal therapy program to improve executive functioning in children and adolescents with acquired brain injury. Clin Rehabil. Oct 2017;31(10):1351-1363. [CrossRef] [Medline]
- Sabel M, Sjölund A, Broeren J, Arvidsson D, Saury JM, Blomgren K, et al. Active video gaming improves body coordination in survivors of childhood brain tumours. Disabil Rehabil. Oct 2016;38(21):2073-2084. [CrossRef] [Medline]
- Sabel M, Sjölund A, Broeren J, Arvidsson D, Saury JM, Gillenstrand J, et al. Effects of physically active video gaming on cognition and activities of daily living in childhood brain tumor survivors: a randomized pilot study. Neurooncol Pract. Jun 2017;4(2):98-110. [FREE Full text] [CrossRef] [Medline]
- James S, Ziviani J, Ware RS, Boyd RN. Randomized controlled trial of web-based multimodal therapy for unilateral cerebral palsy to improve occupational performance. Dev Med Child Neurol. Jun 2015;57(6):530-538. [FREE Full text] [CrossRef] [Medline]
- Wang TN, Chen YL, Shieh JY, Chen HL. Commercial exergaming in home-based pediatric constraint-induced therapy: a randomized trial. OTJR (Thorofare N J). Apr 2021;41(2):90-100. [CrossRef] [Medline]
- Yeh KK, Liu WY, Yang ML, Liu CH, Lien HY, Chung CY. Sufficiency of the BOT-2 short form to screen motor competency in preschool children with strabismus. PLoS One. 2021;16(12):e0261549. [FREE Full text] [CrossRef] [Medline]
- Kelly KR, Jost RM, Dao L, Beauchamp CL, Leffler JN, Birch EE. Binocular iPad game vs patching for treatment of amblyopia in children: a randomized clinical trial. JAMA Ophthalmol. Dec 01, 2016;134(12):1402-1408. [FREE Full text] [CrossRef] [Medline]
- Gao TY, Guo CX, Babu RJ, Black JM, Bobier WR, Chakraborty A, et al. Effectiveness of a binocular video game vs placebo video game for improving visual functions in older children, teenagers, and adults with amblyopia: a randomized clinical trial. JAMA Ophthalmol. Feb 01, 2018;136(2):172-181. [FREE Full text] [CrossRef] [Medline]
- Hassett L, Moseley AM, Harmer AR. Fitness training for cardiorespiratory conditioning after traumatic brain injury. Cochrane Database Syst Rev. Dec 29, 2017;12(12):CD006123. [FREE Full text] [CrossRef] [Medline]
Abbreviations
ABI: acquired brain injury |
AMPS: Assessment of Motor and Process Skills |
BOTMP: Bruininks-Oseretsky Test of Motor Proficiency |
COPM: Canadian Occupational Performance Measure |
GMFM-66: Gross Motor Function Measure-66 |
GRADEpro GDT: Grading of Recommendations Assessment, Development, and Evaluation |
PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
RCT: randomized controlled trial |
SMD: standardized mean difference |
Edited by A Mavragani; submitted 03.03.23; peer-reviewed by X Zhang, SQ Yoong; comments to author 13.04.23; revised version received 02.05.23; accepted 11.10.23; published 25.12.23.
Copyright©Zeyu Wang, Kang He, Xin Sui, Jiang Yi, Zhaoyun Yang, Kai Wang, Yan Gao, Linfang Bian, Junjie Jiang, Lijing Zhao. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.12.2023.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.