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Vol. 25. Issue 4.
Pages 369-386 (01 July 2021)
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Vol. 25. Issue 4.
Pages 369-386 (01 July 2021)
Systematic Review
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Effectiveness of virtual reality in children and young adults with cerebral palsy: a systematic review of randomized controlled trial
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Junior Vitorino Fandima,
Corresponding author
junior_fandim@hotmail.com

Corresponding author at: Rua Cesário Galeno, 448, Tatuapé, CEP 03071-000 São Paulo, SP, Brazil.
, Bruno Tirotti Saragiottoa, Gustavo José Martiniano Porfíriob, Renato Figueiredo Santanac
a Masters and Doctoral Program in Physical Therapy, Universidade Cidade de São Paulo, São Paulo, SP, Brazil
b Faculty of Medicine, Universidade Municipal de São Caetano do Sul, São Caetano do Sul, SP, Brazil
c Physical Therapy Department, Universidade Cidade de São Paulo, São Paulo, SP, Brazil
Highlights

  • In recent years virtual reality (VR) has been used alone and as an adjunct intervention in the treatment of patients with cerebral palsy (CP).

  • VR plus conventional rehabilitation can improve upper limb function and lower limb strength in patients with CP.

  • VR alone is no better than other treatments to improve upper and lower limb function in patients with CP.

  • VR alone can improve postural control, balance, and lower limb function in patients with CP.

  • Further research is needed to better define the effectiveness of VR in patients with CP.

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Tables (2)
Table 1. Characteristics of virtual reality type, intervention, and location of included trials.
Table 2. Quality of evidence assessment (GRADE).
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Abstract
Background

Cerebral palsy (CP) is one of the main causes of disability in childhood. Virtual reality (VR) has been used as a treatment option in this population, however its effectiveness is unclear.

Objective

To evaluate the effectiveness of VR in patients with CP.

Methods

We conducted electronic searches in EMBASE, MEDLINE, Cochrane library, PEDro, AMED, PsycoINFO, and LILACS databases and trial site registries such as ClinicalTrials.gov and ICTRP. We included randomized controlled trials that tested the use of VR alone or in combination with other interventions compared to more conventional rehabilitation or usual care in individuals with CP. The primary outcomes were upper and lower limb function, postural control, and balance. The secondary outcomes included global motor function, perception, cognition and spatial functions, motivation, motor learning, and adverse events. Two independent reviewers extracted and assessed included articles for risk of bias using the Cochrane risk of bias tool. We use a meta-analysis with random effect model whenever possible. We analyzed the quality of evidence using theGRADE approach.

Results

We included 38 trials (pooled n = 1233 participants) in this review. There is very low quality of evidence that VR plus conventional rehabilitation is better than conventional rehabilitation for upper limb function. There is also very low quality evidence that VR alone is no better than conventional rehabilitation for upper and lower limb function. No adverse events were observed among the 10 trials that provided information on this outcome.

Conclusion

At present we have very limited to limited confidence in effect estimation for utilization of VR in this population. Future studies may change our confidence in results and effect estimates.

Protocol registration

PROSPERO CRD 42018102759.

Keywords:
Cerebral palsy
Outcomes
Rehabilitation
Telerehabilitation
Virtual reality
Full Text
Introduction

Cerebral palsy (CP) is one of the main causes of physical disability in children worldwide.1,2 Children with CP have altered motor function and postural control, which are highly associated with limitations in daily life activities.1,3,4,5 The prevalence of CP over the last 40 years is estimated to have increased from 1.5 to 2.5 per 1000 newborns.6

Virtual reality-based interventions (VR) have been used in the treatment of patients with CP.7,8 VR can be defined as an interactive immersion and simulation experience in an environment and real-world objects created by a computational system responding to real-time user movements.9,10 VR can be offered in an immersive (i.e. head-mounted display) and non-immersive (i.e. desktop display) manner. Rehabilitation with VR enables training at different levels of complexity with feedback in a safe and controlled environment.11,12 In addition, VR can enable clinicians to control the duration and intensity of tasks not performed in the real world.13 At the same time, VR offers meaningful learning experience by providing encouragement and motivation during rehabilitation.11

Recently, randomized controlled trials were conducted to analyze the effects of VR in several areas.14,15,16,17,18,19,20 A 2017 systematic review21 assessed the effectiveness of VR rehabilitation on sensory and functional motor skills of children and adolescents with CP. A limitation of this review was the inclusion of study designs other than randomized controlled trial (e.g. case studies).21 A 2018 systematic review22 was the first comprehensive review with meta-analysis including only randomized controlled trials.22 However, there has been several recent studies published since their search in 2016.23,24,25,26,27,28,29,30,31 A 2019 systematic review assessed the effectiveness of VR in children with CP but only for hand function.32 Furthermore, the previous systematics reviews do not provide the strength and quality of the evidence (e.g. GRADE approach) based on VR applied in isolation or in combination with other treatments and for a wide range of outcomes. Thus, an updated and more comprehensive systematic review is warranted. We aimed to systematically review the effectiveness of VR to improve upper and lower limb function, postural control, and balance compared to other type of treatments, usual care, waiting list, no treatment or placebo in children and young adults with CP.

MethodsProtocol and registration

This review was prospectively registered in the International Prospective Register of Systematic Reviews (PROSPERO) CRD: 42018102759. This review is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (The PRISMA Statement).89

Study selection

We included randomized controlled trials that consisted of individuals with CP. CP was defined as a group of non-progressive neurological disorders of motor and postural development that occurs in fetal or infant brain development.1 It can be diagnosed by clinical examination and/or imaging tests. There were no exclusions regarding age, CP types, location of motor change, and severity.

We included the following types of VR: video games commercially available (e.g. Nintendo Wii) that were non-immersive or immersive (custom interface); applied in isolation or combined with other treatments. We considered any other type of treatments, no treatment, waiting list, usual care, or placebo as control groups.

The primary outcomes analyzed were upper limb function, lower limb function (divided into gait and strength of the lower limbs), and postural control and balance. The secondary outcomes included were global motor function, spatial functions, perception and cognition, motivation, motor learning, and adverse events. All outcomes needed to be assessed by a validated instrument. We included four time-points for each outcome: post intervention, short (> two weeks but ≤ three months), intermediate (> three months but ≤12 months), and long term follow-up (> 12 months).

Data sources and searches

The searches were performed in the following electronic databases: EMBASE (Ovid), MEDLINE (Ovid), LILACS, Cochrane library, PEDro, AMED (Ovid), and PsycINFO (Ovid) in March 2020. There were no restrictions regarding year of publication or language. The search strategy used in the databases is described in the Supplemental online material. Conference proceedings were excluded.

We also performed searches on clinical trial site registries such as ClinicalTrials.gov and WHO International Clinical Trials Registry Platform (www.who.int/ictrp/en/) and manual searches on reference lists of eligible trials. Two authors independently screened the study titles, abstracts, and full texts of all identified studies. Any disagreement among the reviewers was resolved by consensus or arbitration by a third author.

Data extraction and risk of bias assessment

One author performed data extraction using a standardized form. Extracted data included name of the authors, country, year of publication, type of PC, outcome measures, age, number of participants, VR type, description of interventions, duration of sessions, frequency of intervention, duration of the intervention, and place of recruitment. Finally, data on treatment effects and number of participants in each group were extracted. Attempts to contact the authors via e-mail were made when the information from the studies was insufficient or unclear. We extracted data from graphs using the WebPlotDigitizer (https://automeris.io/WebPlotDigitizer/). Data reported as mean and range of values were converted to mean and standard deviation data.33 If possible, cross-over studies, when identified, had their data extracted preferably at the end of the first phase, if not possible the data were extracted at the end of the last phase and provided in descriptive form.34

We used the 7-criteria Cochrane risk of bias tool.35 Two independent reviewers (JF and RS) analyzed the risk of bias of all included trials. Disagreements between the reviewers were resolved by consensus or arbitration by a third author.

Data synthesis and analysis

We used mean differences (MD) with 95% confidence intervals (CI) when studies used continuous outcomes variables with the same scale. When different scales were used for continuous outcomes, we opted to use standardized mean differences (SMD) with 95% CI. We followed a system commonly used by Cohen 198836 for interpretation of effect sizes: d = 0.2 represents a small; d = 0.5 a medium; and d = 0.8 a large effect, and used in previous studies.37,38Odds ratios with 95% CI were used to calculate treatment effects or adverse events for dichotomous variables. Meta-analyses were performed using Review Manager 5.3.39 When data could not be included in a meta-analysis, data are presented descriptively.

Heterogeneity of data was evaluated by visual inspections of the forest plot, observing the overlap of the 95% CIs, followed by a Chi-square test and I2 statistic as recommended by the Cochrane Handbook.34 We pooled the data using a random effect model. When we observed substantial data heterogeneity, I2> 50% and p < 0.10, quality of evidence was downgraded due to inconsistency. Where possible, we stratified the analyses into subgroups to verify if the effects varied based on the intervention duration (i.e. ≤ 30 minutes, 30–60 minutes, >60 minutes) or frequency of intervention (≤ 2× week, 3× week, ≥ 3× week). We performed sensitivity analyses for VR type (commercial game or personalized game) for comparisons that presented with moderate level of heterogeneity.

We evaluated the quality of evidence for each outcome using GRADE as recommended by the Cochrane Handbook.34 The quality of evidence was based upon the performance of the studies for five domains: 1) study design and risk of bias (downgraded by one level if 25% or more of the participants in the comparison are from studies with high risk of bias defined as one or more criteria classified as high risk of bias in the study); 2) Inconsistency (downgrade by one level if by visual inspection the presence of wide variation of effect estimates is verified or the I2 test is greater than 50%); 3) Indirectness (downgrade by one level if more than 50% of participants vary from the population of interest (e.g. mixed populations or multiple disorders)); 4) Inaccuracy (downgrade by one level if, in dichotomous outcomes, the sample size is less than 300 participants or for continuous outcomes, less than 400 participants40); and 5) Publication bias (downgrade by one level if publication bias was identified by visual inspection of funnel plots if more than 10 studies are included in the comparison). The quality of evidence was defined as follows:

High quality of evidence: New research is unlikely to change confidence in the effect estimates;

Moderate quality of evidence: Further research is likely to have an important impact on the confidence in the effect estimates and may change the estimate;

Low quality of evidence: More research is very likely to have impact on the confidence in the effect of the estimate and is likely to change the estimate;

Very low quality of evidence: There is much uncertainty about the effect of the estimate;

No evidence: No randomized controlled trials were identified to evaluate this outcome.

The primary findings of this review are included in a "Summary of findings" custom table using GRADEpro GDT.41

Results

We included 38 randomized controlled trials (40 references), of which three had a crossover design (Fig. 1). In total, 1233 participants of both sex with ages between 4 and 38 years old were included. The sample size ranged from 10 to 102 participants with a mean ± standard deviation of 34.2 ± 17.5 participants. The characteristics of included studies are presented in Table 1.

Fig. 1.

Flowchart with the selection of the trials for the systematic review.

(0.33MB).
Table 1.

Characteristics of virtual reality type, intervention, and location of included trials.

Author/ Year  Participants characteristics  Intervention  Duration of Session  Frequency  Duration of Intervention 
Aran et al. 201923  Country: Turkey; N=90; Mean age 11.1 years old; Type of CP: Hemiplegia  Microsoft Kinect for PC; EG: VR and Traditional Occupational Therapy; CG: Traditional Occupational Therapy  45 min  2× week  10 weeks 
Arnoni et al. 201924  Country: Brazil; N=15; Mean age:(years old) 9.6; Type of CP: Mild spastic hemiplegia  Xbox Kinect; EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  45-50 min 45 min  2× week  8 weeks 
Ballester et al. 201925  Country: Spain; N = 14; Mean age:(years old): 38; Type of CP: Tetraplegia, triplegia, diplegia, and hemiplegia  Rehabilitation Gaming System; EG: VR; CG: Conventional Rehabilitation  30 min  3× week  4 weeks 
Okmen et al. 201926  Country: Turkey; N = 41; Mean age:(years old): 8.5; Type of CP: Quadriplegia, diplegia, triplegia, and hemiplegia  Eye Toy-Play system (Play station 2); EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  60 min  3-5× week  4 weeks 
Pin and Butler 201927  Country: China; N = 18; Mean age:(years old): 9.2; Type of CP: Bilateral spastic  TYMO; EG: VR and Usual Rehabilitation Program; CG: Usual Rehabilitation Program  20 min  4× week  6 weeks 
Pourazar et al. 201928  Country: Iran; N = 20; Mean age:(years old): 9.4; Type of CP: Spastic hemiplegia  Xbox Kinect; EG: VR; CG: Common Therapy Program  85-100 minutes  5× first two week 3× following week 2× last two week  6 weeks 
Author/ Year  Participants characteristics  Intervention  Duration of Session  Frequency  Duration of Intervention 
Sahin et al. 201930  Country: Turkey; N = 60; Mean age:(years old): 10.2; Type of CP: Hemiplegia  Microsoft Kinect; EG: VR and Traditional Occupational Rehabilitation; CG: Traditional Occupational Rehabilitation  45 min  2× week  8 weeks 
Tarakci et al. 201931  Country: Turkey; N = 30; Mean age:(years old): 11; Type of CP: Spastic and dyskinetic  Leap Motion Controller; EG: VR; CG: Conventional Rehabilitation  60 min  3× week  8 weeks 
El-Shamy and El-Banna 201848  Country: Egypt; N = 40; Mean age:(years old): 9.6; Type of CP: Spastic hemiplegia  Nintendo Wii; EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  40-60 min 60 min  3× week  12 weeks 
Sajan et al. 201750  Country: India; N = 20; Mean age:(years old): 11.5; Type of CP: Diplegic, triplegic, and spastic quadriplegic  Nintendo Wii; EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  45 min  6× week  3 weeks 
Gatica-Rojas et al. 201764  Country: Australia; N = 32; Mean age:(years old): 10.7; Type of CP: Hemiplegia and spastic diplegia  Wii™ balance board; EG: VR; CG: Conventional Rehabilitation  30 min 40 min  3× week  6 weeks 
Pourazar et al. 201829  Country: Iran; N = 30; Mean age:(years old): 11.2; Type of CP: Not defined  Xbox Kinect; EG: VR and Home Physical Activity Program; CG: Physical Activity Program  25 min  3× week  4 weeks 
Piovesana e al 201769†  Country: Australia; N = 102†; Mean age:(years old): 11.7†; Type of CP: Hemiplegia †  (MiTii)†; EG: VR; CG: Waitlist†  20-30 min†  6× week†  20 weeks† 
Mitchell et al. 2016 57††  Country: Australia; N = 101††; Mean age:(years old): 13 ††; Type of CP: Hemiplegia ††  (MiTii)††; EG: VR; CG: Waitlist control group††  30 min††  6× week††  20 weeks†† 
Author/ Year  Participants characteristics  Intervention  Duration of Session  Frequency  Duration of Intervention 
James et al. 201552†††  Country: Australia; N = 102†††; Mean age:(years old): 11.4 †††; Type of CP: Hemiplegia †††  (MiTii)†††; EG: VR; CG: Waitlist †††  30 min†††  6× week†††  20 weeks ††† 
Atasavun et al. 201663  Country: Turkey; N = 28; Mean age:(years old): 9.6; Type of CP: Hemiplegic  Wii Sports Resort™; EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  30-45 min 45 min  2-4× week  12 weeks 
Urgen et al. 201658  Country: Turkey; N = 33; Mean age:(years old): 11.2; Type of CP: Spastic hemiplegic  Wii™ Fit; EG: VR; CG: Rehabilitation Program  45 min  2× week  9 weeks 
Tarakci et al. 2016 62  Country: Turkey; N = 38; Mean age:(years old): 10.5; Type of CP: Hemiplegic, diplegic, dyskinetic and without description  Wii™ balance board e Wii™ Fit; EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  50 min  2× week  12 weeks 
Ren et al. 201654  Country: China; N = 35; Mean age:(years old): 4.6; Type of CP: Spastic diplegia  Not specified; EG: VR and Occupational Rehabilitation; CG: Conventional and Occupational Rehabilitation  3 months 
Preston et al 201653  Country: UK; N = 15; Mean age:(years old): 9.2; Type of CP: Not defined  Custom Computer for Rehabilitation; EG: VR/ Botulinum Toxin; CG: Usual Rehabilitation/ Botulinum Toxin  30 min  Average 14 sessions total  12 weeks 
Cho et al 201655  Country: Republic of Korea; N = 18; Mean age:(years old): 9.8; Type of CP: Spastic  Treadmill Training with Virtual Reality (Nintendo Wii); EG: VR and Conventional Rehabilitation; CG: Treadmill Training and Conventional Rehabilitation  30 min  3× week  8 weeks 
Author/ Year  Participants characteristics  Intervention  Duration of Session  Frequency  Duration of Intervention 
Bedair et al 201647  Country: Egypt; N = 40; Mean age:(years old): 7.15; Type of CP: Spastic hemiplegia  Xbox Kinect; EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  30-60 min 60 min  3× week  4 months 
Acar et al 201646  Country: Turkey; N = 30; Mean age:(years old): 9.6; Type of CP: Hemiparetic  Nintendo Wii; EG: VR and Bobath; CG: Bobath  60 min 45 min  2× week  6 weeks 
Zoccolillo et al 201520  Country: Italy; N = 22; Mean age:(years old): 6.8; Type of CP: Not defined  Xbox Kinect; EG: VR; CG: Conventional Rehabilitation (Bobath Principles)  30 min  2× week  8 weeks 
AlSaif and Alsenany 201551  Country: Saudi Arabia; N = 40; Mean age:(years old): -; Type of CP: Spastic diplegia  Wii™ Fit; EG: VR; CG: No Intervention  20 min  7× week  12 weeks 
Arenas and Bravos 2014 60  Country: Chile; N = 32; Mean age:(years old): -; Type of CP: Hemiparetic  Wii™ Fit; EG: VR; CG: No Treatment CG: Conventional Rehabilitation  30 min  13 sessions 
Chiu et al 201442  Country: Taiwan; N = 62; Mean age:(years old): 9.5; Type of CP: Spastic hemiplegia  Wii Sports Resort™; EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  40 min  3× week  6 weeks 
Klobucka et al. 201366  Country: Serbia; N = 42; Mean age:(years old): 8.1; Type of CP: Not defined  Virtual reality environment; EG: VR and Marching Training on lokomat; CG: Marching Training on lokomat  3-5× week  20 sessions (4-6 weeks) 
Author/ Year  Participants characteristics  Intervention  Duration of Session  Frequency  Duration of Intervention 
Chen et al. 201319  Country: Taiwan; N = 27; Mean age:(years old): 8,6; Type of CP: Spastic hemiplegia and spastic diplegia  Eloton SimCycle Virtual Cycling System; EG: VR and ("Strengthening Program" Physical Therapy); CG: General Physical Activity  40 min  3× week  12 weeks 
Chen et al. 201259  Country: Taiwan; N = 27; Mean age:(years old): 8.6; Type of CP: Spastic hemiplegia and spastic diplegia  Eloton SimCycle Virtual Cycling System; EG: VR and ("Strengthening Program" Physical Therapy); CG: General Physical Activity  40 min  3× week  12 weeks 
Sharan et al. 201245  Country: India; N = 16; Mean age:(years old): 9.6; Type of CP: Not defined  Wii™ balance board e Wii™ Fit; EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  30 min  3× week  3 weeks 
Salem et al. 201256  Country: USA; N = 40; Mean age:(years old): 4.2; Type of CP: Neuropsychomotor Development Delay  Nintendo Wii Sports™ and Nintendo Wii Fit™; EG: VR; CG: Conventional Rehabilitation  30 min  2× week  10 weeks 
Ritterband-Rosenbaum et al. 201268  Country: Denmark; N = 40; Mean age:(years old): 11.5; Type of CP: Spastics hemiplegia  (MiTii); EG: VR; CG: No Intervention  30 min  7× week  20 weeks 
Rostami et al. 201244  Country: Iran; N = 32; Mean age:(years old): 8.1; Type of CP: Hemiparetic  E-Link; EG1: VR; EG2: VR and mCIMT; CG1: mCIMT; CG2: Conventional Rehabilitation  90 min 90 min 90 min 30 min  3× week 2× week  4 weeks of summer 
Ramstrand and Lygnegård. 201261  Country: Sweden; N = 18; Mean age:(years old): 13.2; Type of CP: Hemiplegia and diplegia  Wii™ balance board e Wii™ Fit; EG: VR; CG: No intervention  Minimum of 30 min  5× week  5 weeks 
Author/ Year  Participants characteristics  Intervention  Duration of Session  Frequency  Duration of Intervention 
Wade et al. 201265  Country: UK; N = 19; Mean age:(years old): 9.1; Type of CP: Not defined  Computer and equipment with seat and platform; GE: VR; GC: No intervention  (3-5× week)  3 months 
Jannink et al. 200849  Country: Netherlands; N = 10; Mean age:(years old): 12.1; Type of CP: Tetraplegia, diplegia and hemiplegia  Eye Toy-Play system (Play station 2); EG: VR and Conventional Rehabilitation; CG: Conventional Rehabilitation  30 min  2× week  6 weeks 
Reid and Campbell. 200643  Country: Canada; N = 31; Mean age:(years old): 9.5; Type of CP: Not defined  RV IREX System; EG: VR and physiotherapy/ occupational; CG: Physiotherapy/ occupational  90 minutes  1× week  8 weeks 
Harris and Reid 200570  Country: Canada; N = 16; Mean age:(years old): 10.1; Type of CP: Spastics, quadriplegia, diplegia; hemiplegia and athetoid  RV IREX System; EG: VR and Physical / Occupational Therapy; CG: Physical / Occupational Therapy  60 min  8 sessions 
Akhutina et al. 200367  Country: Russia; N = 1st (15) 2nd (51); Mean age(years old): 10.2; Type of CP: 1st (Cerebral palsy) 2nd (Diplegics, hemiparesis, anatomical statical and hyperkinetics).  VRT Super Scape 3D; EG: VR and Non-Specific Rehabilitation; CG: Non-Specific Rehabilitation Training  30–60 min  6-8× per month  4 weeks 

Abbreviations: CP, Cerebral palsy; EG, Experimental group; CG Control group; mCIMT, Modified Induced Containment Therapy; MiTii, Move It to Improve It; IREX VR, System Interactive Rehabilitation and Exercise Systems/ Mandala® Gesture Xtreme; E-Link, E-Link evaluation and exercise system.

† Outcomes related to Piovesana et al study.69

†† Outcomes related to Mitchel et al study.57

††† Outcome related to James et al study.52

Characteristics of interventions

In general, the trials used VR for training upper limb function,26,30,31,42–54 lower limbs,19,26,27,50,51,54–59 postural control and balance,24,27,28,45,50,55,58,60–65 global motor function,19,24,27,30,46,47,51,54–59,62,63,66 spatial functions, cognition, and perceptions,23,29,50,52,67–69 and motivational influence.43 The use of VR ranged from custom technological resources27,31,44,52,53,57,65,67–69 to consoles commercially available as Nintendo Wii.42,45,46,48,50,51,55,56,58,60–64 Session duration ranged from 2051,27,29,49,52,53,55,56,60,61,64,67,68 to more than 60 minutes26,28,31,43,44,46–48,67,70with some trials with unspecified time.45,65 The frequency of treatment sessions ranged from two20,23,24,30,43,46,49,53,56,58,62,67 to more than three times per week,26–28,31,50–52,61,63,65,66,68 with two trials not reporting the frequency.60,70 In general, interventions ranged from four to twenty weeks in duration. The use of VR combined with conventional versus conventional rehabilitation was analyzed in 25 trials,19,20,23,24,26,27,29,30,42–50,54,55,59,62,63,66,67,70 VR versus conventional rehabilitation in eight trials,25,28,31,53,56,58,60,64 and VR versus waiting list in five trials.51,52,61,65,68

Risk of bias

Risk of bias of the 38 eligible trials are described in Fig. 2. A total of 26 trials performed adequate randomization 23,24,26,27,29–31,42–45,47,48,50,52,53,55,57,58,60,62–65,69,71 Only 11 trials performed allocation concealment.23,24,30,48,50,52,56–58,60,69 All trials were classified as having a high risk of bias for blinding of participants and therapists. A total of 29 trials provided complete information on the outcomes analyzed.19,23,24,26–31,42,44–46,48–50,52,5560,63,64,68–70 A total of 35 trials reported all of the outcomes analyzed.19,23,24,26–28,30,31,42–53,55–59,6165,68–71

Fig. 2.

Summary of risk of bias.

(0.71MB).
Primary outcomesEffect of VR plus conventional rehabilitation versus conventional rehabilitation

We included 11 trials that analyzed upper limb function.20,26,30,42–48,50 There is very low quality evidence (downgraded due to risk of bias, inconsistency, and imprecision) that combining VR to a conventional rehabilitation program results in improved function of the upper limb (large effect) at post intervention (SMD = 1.06, 95% CI 0.42, 1.69; n = 390, 11 trials, I2 = 86%) and at short-term follow-up (SMD = 3.04, 95% CI 0.43, 5.66; n = 93, 2 trials, I2 = 89%) when compared to a conventional rehabilitation program alone (Fig. 3).

Fig. 3.

Forest plot of comparison: VR plus conventional rehabilitation versus conventional rehabilitation, outcome: Upper limb function – Post intervention and short term.

(0.4MB).

Function of the lower limbs related to gait and strength were analyzed in five trials.19,26,27,50,55 There is low quality evidence (downgraded due to risk of bias and imprecision) that there is no benefit of adding VR to a conventional rehabilitation to improve gait at post intervention (SMD = -0.08, 95% CI -0.45, 0.29; n = 123, 5 trials, I2 = 6%).50,55,62 There is low quality evidence (downgraded due to risk of bias and inaccuracy) that adding VR to conventional rehabilitation leads to better improvement of lower limb strength (large effect) at post intervention (SMD = 0.66, 95% CI 0.01, 1.32; n = 45, 2 trials, I2 = 12%) (Supplemental online material).

Seven trials24,27,45,50,55,62,63 analyzed balance. There is very low quality evidence (downgraded due to risk of bias, inconsistency, and imprecision) that there is no benefit of adding VR to a conventional rehabilitation program to improve postural control and balance (SMD = 0.43, 95% CI -0.11, 0.97; n = 124, 6 trials, I2 = 53%) (Supplemental online material). One trial24 demonstrated no difference for the improvement of postural stability (p > 0.05).

Effect of VR versus conventional rehabilitation

We included six trials that analyzed upper limb function.25,31,44,49,53,56 There is very low quality evidence (downgraded due to risk of bias, inconsistency, and imprecision) that there is no benefit between the use of VR versus conventional rehabilitation to improve upper limb function at post intervention (SMD = 0.48, 95% CI -0.47, 1.43; n = 148, 4 trials, I2 = 79%) and at short term follow-up (SMD = 3.95, 95% CI -4.86, 12.75; n = 24, 2 trials, I2 = 93%) (Supplemental online material).

Two trials56,58 analyzed gait-related lower limb function. There is low quality evidence (downgraded due to risk of bias and imprecision) that there is no benefit between the use of VR versus conventional rehabilitation to improve gait speed at post intervention (MD 0.33, 95% CI -0.09, 0.75; n = 110, 2 trials, I2 = 0%) and functional strength post intervention (MD -0.30, 95% CI -1.49, 0.89; n = 80, 1 trial, I2 = 0%) (Supplemental online material).

Four trials analyzed balance.56,58,60,64 There is a very low quality evidence (downgraded due to risk of bias, inconsistency, and imprecision) that there is a large effect of VR versus conventional rehabilitation to improve postural control and balance at post intervention (SMD = 1.43, 95% CI 0.61, 2.24; n = 142, 3 trials, I2 = 74%) and also low quality evidence (downgraded due to risk of bias and imprecision), that there is no benefit between the use of VR versus conventional rehabilitation to improve postural control and balance at short term follow-up (SMD = 0.41, 95% CI -0.29, 1.11; n = 32, 1 trial, I2 = 0%) (Supplemental online material). One trial28 demonstrated the superiority of VR to improve postural stability (p < 0.05).

Effect of VR versus waiting list/no treatment

Two trials51,52 analyzed upper limb function. There is very low quality evidence (downgraded due to risk of bias, inconsistency, and imprecision) that there is no benefit between the use of VR versus no treatment to improve upper limb function at post intervention (SMD = 0.64, 95% CI -0.40, 1.67; n = 115, 2 trials, I2 = 84%) (Supplemental online material).

Two trials51,57 analyzed gait-related lower limb function. There is low quality evidence (downgraded due to risk of bias and imprecision) that there is a moderate effect of using VR versus no treatment to improve gait at post intervention (SMD 0.67, 95% CI 0.13, 1.21; n = 129, 2 trials, I2 = 49%) and a large effect to improve functional strength at post intervention (MD 2.60, 95% CI 1.03, 4.17; n = 89, 1 trial, I2 = 0%) (Supplemental online material).

The summary of findings and the overall quality of evidence for the primary outcomes are described in Table 2.

Table 2.

Quality of evidence assessment (GRADE).

Quality assessment (GRADE)Summary of findings
Number of studies  Risk of bias  Inconsistency  Indirectness  Imprecision  Publication bias  Overall quality of evidence  Number of participantsEffect 
              VRCR  CR  Effect Size (95% CI) 
Upper limb function - post intervention
11 RCTs  Seriousa  Seriousb  Not Serious  Seriousc  Undetected  ≍≍≍⨁ Very low  196  194  SMD 1.06 (0.42, 1.69) 
Upper limb function - Short term
2 RCTs  Seriousa  Seriousb  Not Serious  Seriousc  Undetected  ≍≍≍⨁ Very low  42  51  SMD 3.04 (0.43, 5.66) 
Lower limb function (Gait) - post intervention
5 RCTs  Seriousa  Not Serious  Not Serious  Seriousc  Undetected  ≍≍⨁⨁ Low  62  61  SMD -0.08 (-0.45, 0.29) 
Lower limb function (Gait) - Short term
Lower limb function (Strength) - post intervention
2 RCTs  Seriousa  Not Serious  Not Serious  Seriousc  Not Serious  ≍≍⨁⨁ Low  22  23  SMD 0.66 (0.01, 1.32) 
Lower limb function (Strength) - Short term
Postural control and Balance - post intervention
6 RCTs  Seriousa  Seriousb  Not Serious  Seriousc  Undetected  ≍≍≍⨁ Very low  62  62  SMD 0.43 (-0.11, 0.97) 
Postural control and Balance - Short term
Quality assessment (GRADE)Summary of findings
Number of studies  Risk of bias  Inconsistency  Indirectness  Imprecision  Publication bias  Overall quality of evidence  Number of studiesEffect 
              VR  CR  Effect Size (95% CI) 
Upper limb function - post intervention
4 RCTs  Seriousa  Seriousb  Not Serious  Seriousc  Undetected  ≍≍≍⨁ Very low  70  78  SMD 0.48 (-0.47, 1.43) 
Upper limb function - Short term
1 RCT  Seriousa  Seriousb  Not Serious  Seriousc  Undetected  ≍≍≍⨁ Very low  16  SMD 3.95 (-4.86, 12.75) 
Lower limb function (Gait) - post intervention
2 RCTs  Seriousa  Not Serious  Not Serious  Seriousc  Undetected  ≍≍⨁⨁ Low  55  55  MD 0.33 (-0.09, 0.75) 
Lower limb function (Gait) - Short term
Lower limb function (Strength) - post intervention
1 RCT  Seriousa  Not Serious  Not Serious  Seriousc  Undetected  ≍≍⨁⨁ Low  40  40  MD -0.30 (-1.49, 0.89) 
Lower limb function (Strength) - Short term
Postural control and Balance - post intervention
3 RCTs  Seriousa  Seriousb  Not Serious  Seriousc  Undetected  ≍≍≍⨁ Very low  56  56  SMD 1.43 (0.6, 2.24) 
Postural control and Balance - Short term
1 RCT  Seriousa  Not Serious  Not Serious  Seriousc  Undetected  ≍≍⨁⨁ Low  16  16  MD 0.48 (-0.31, 1.27) 
Quality assessment (GRADE)Summary of findings
Number of studies  Risk of bias  Inconsistency  Indirectness  Imprecision  Publication bias  Overall quality of evidence  Number of studiesEffect 
              VR  Control  Effect Size (95% CI) 
Upper limb function - post intervention
2 RCTs  Seriousa  Seriousb  Not Serious  Seriousc  Undetected  ≍≍≍⨁ Very low  58  57  SMD 0.64 (-0.4, 1.67) 
Upper limb function - Short term
Lower limb function (Gait) - post intervention
2 RCTs  Seriousa  Not Serious  Not Serious  Seriousc  Undetected  ≍≍⨁⨁ Low  66  63  SMD 0.67 (0.13, 1.21) 
Lower limb function (Gait) - Short term
Lower limb function (Strength) - post intervention
1 RCT  Seriousa  Not Serious  Not Serious  Seriousc    ≍≍⨁⨁ Low  46  43  MD 2.60 (1.03, 4.17) 
Lower limb function (Strength) - Short term
Postural control and Balance - post intervention
Postural control and Balance - Short term

Abbreviations: GRADE, Grading of Recommendations Assessment Development and Evaluation; RCTs, randomized controlled trials; VRCR, virtual reality plus conventional rehabilitation; CR, conventional rehabilitation; MD, mean difference; SMD, standardised mean differences; CI, confidence interval; VR, virtual reality.

a

> 25% of the participants from studies with high risk of bias.

b

I2 test is greater than 50%.

c

Sample size is less than 400 participants and large CI.

Secondary outcomes

A total of nine trials analyzed global motor function,19,24,27,30,46,47,55,62,63 three trials spatial function, perception, and cognition29,50,67 for the effect of VR combined to a conventional rehabilitation versus conventional rehabilitation alone. Two trials analyzed global motor function56,58 for the effect of VR versus conventional rehabilitation. Two trials analyzed global motor function49,58 and two trials spatial and executive functions68,69 for the effect of VR versus waiting list or no treatment. Most of the comparisons demonstrated low quality of evidence. The benefits of VR added to a conventional rehabilitation program or used alone is unclear and may result in a slight improvement in spatial perception and executive functions. The evidence suggests that adding VR to conventional rehabilitation or used alone results in little to no difference in global motor function. Further details can be found in the Supplemental online material.

Sensitivity analysis and subgroups

The majority of the subgroup and sensitivity analyzes did not demonstrate significant differences.

Publication Bias

We did not assess publication bias because few studies were included in the review.

Discussion

VR has been used in clinical rehabilitation for the past two decades. We found very low-quality evidence that there is a moderate effect of adding VR to conventional rehabilitation compared to conventional rehabilitation alone for improvement in upper limb function at post intervention and short term follow-up. Further, there is very low-quality evidence that there is a moderate effect of using VR compared to conventional rehabilitation for improvement in postural control and balance at post intervention. Also, there is low quality of evidence of small to large effect of VR compared to no treatment for improvement in gait and strength of the lower limb at intermediate term. Although there has been an increase in the number of publications investigating the effects of VR alone or associated with other interventions. The effect of the intervention remains unclear for most of the comparisons, outcomes and follow-up. At present, we have limited confidence in the effect estimates and the results should be interpreted with cautions.

One of the main hypotheses for the benefit of VR in rehabilitation is related to the simultaneous stimulation of cognitive and motor processes.72,73 VR enables a rewarding and challenging virtual environment in a recreational and fun context to engage in new experiences.72,74 The use of VR also enables encouragement and motivation to solve problems in different contexts. It also provides social participation, flexibility of use, feedback, and accomplishment of repetitive tasks at different difficulty levels, promoting neuroplasticity.75,76,77 The results of the review also indicated greater effect of VR compared to other treatments or no treatment for improvement of upper limb function, postural control, gait, and strength of lower limbs. Most participants were children from rehabilitation centers, so the clinician should consider patient preference and the present evidence to suggest the use or not of VR as an adjuvant to rehabilitation. It is essential at this stage that evidence-based practice in pediatric physiotherapy is considered to provide the best health care for children and families.78

We analyzed the use of VR in six intervention approaches for children with CP. At this time, the evidence related to the use of VR is based on 1233 patients from 19 different countries. The risk of bias varied substantially between the trials included in the systematic review. The reporting of the application of VR and classification of CP type was not clear in some studies, and only few trials reported on potential risks and adverse events.19,20,50,52,53,56,60,64 Most of the evidence related to VR rehabilitation has been obtained either immediately post intervention or at short-term follow-up,42,44,64 with no information at intermediate and long-term follow-up.

This is the first systematic review to our knowledge to analyze risk of bias in VR trials for individuals with CP and to use the GRADE approach to determine the quality of evidence. Previous reviews included studies of varied designs,79,80 and used diverse instruments to assess methodological quality and bias.22,77,79,81 In the present review we used the Cochrane risk of bias tool35 and reported the review according to PRISMA guidelines.82 We conducted an extensive search in the main databases, but trials stored in the gray literature were not included, therefore, the likelihood of publication bias cannot be ruled out.83,84 Some trials showed little compliance for concealed allocation, blinding of participants, and therapists which may have influenced the effect estimates.85,86

Despite the recent growth in number of trials, heterogeneity in the design of those trials and intervention comparisons, make definitive conclusions difficult. Strategy for conducting multicenter studies could be an approach to obtain larger sample sizes. Better reporting of the interventions, and the use of the TIDieR checklist87,88 is also needed to add transparency and reproducibility of interventions. It would be important to also develop a minimum set of outcomes for conducting trials in this population.89, 90 This strategy would reduce variability of measurement instruments, outcomes, and would help standardization of the frequency of interventions and follow-up periods.

Conclusions

Our findings suggest that VR demonstrates some short-term benefits to improve upper and lower limb function and postural control and balance in individuals with CP. However, the quality of evidence ranged from very low to low, with very limited confidence in the effect estimate.

Funding

None.

Conflict of Interest

The authors of this review declare no conflict of interest.

Acknowledgements

We thank Leonardo O. P. Costa for critical revision of the manuscript and assistance in data analysis.

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