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. Author manuscript; available in PMC: 2019 Sep 1.
Published in final edited form as: J Stroke Cerebrovasc Dis. 2018 Jun 4;27(9):2306–2318. doi: 10.1016/j.jstrokecerebrovasdis.2018.05.013

TELE-REHABILITATION AFTER STROKE: AN UPDATED SYSTEMATIC REVIEW OF THE LITERATURE

Fred S Sarfo 1,2,#, Uladzislau Ulasavets 3,#, Ohene K Opare-Sem 1,2, Bruce Ovbiagele 4
PMCID: PMC6087671  NIHMSID: NIHMS971016  PMID: 29880211

Abstract

Background

Tele-rehabilitation for stroke survivors has emerged as a promising intervention for remotely supervised administration of physical, occupational, speech and other forms of therapies aimed at improving motor, cognitive and neuropsychiatric deficits from stroke.

Objective

To provide an updated systematic review on the efficacy of tele-rehabilitation interventions for recovery from motor, higher cortical dysfunction and post-stroke depression among stroke survivors.

Methods

We searched PubMed and Cochrane library from January 1, 1980 to July 15, 2017 using the following keywords: Telerehabilitation stroke”, “Mobile health rehabilitation”, “Telemedicine stroke rehabilitation”, Telerehabilitation. Our inclusion criteria were randomized controlled trials, pilot or feasibility trials that included an intervention group that received any tele-rehabilitation therapy for stroke survivors compared with a control group on usual or standard of care.

Results

This search yielded 49 abstracts. By consensus between two investigators, 22 publications met the criteria for inclusion and further review. Tele-rehabilitation interventions focused on motor recovery (n=18), depression or caregiver strain (n=2) and higher cortical dysfunction (n=2). Overall, tele-rehabilitation interventions were associated with significant improvements in recovery from motor deficits, higher cortical dysfunction and depression in the intervention groups in all studies assessed but significant differences between intervention versus control groups were reported in 8 out of 22 studies in favor of tele-rehabilitation group while the remaining studies reported non-significant differences.

Conclusion

This updated systematic review provides evidence to suggest that tele-rehabilitation interventions have either better or equal salutary effects on motor, higher cortical and mood disorders compared with conventional face-to-face therapy.

Keywords: Tele-rehabilitation, post-stroke recovery, motor function, higher cortical dysfunction

INTRODUCTION

Rehabilitation after stroke requires the inputs of several skilled health personnel including physiatrists, physiotherapists, speech therapists and occupational therapists. These human resources are often unavailable engendering inadequate recovery from physical limitations among stroke survivors. Furthermore, supervised rehabilitation is often challenged by transportation restrictions of getting to hospitals and inconvenience. (1). Home-based tele-rehabilitation- defined as the use of telecommunication devices (such as telephone, videophone) by a clinician to provide evaluation and distance support for disabled persons living at home- (2,3)- provide a viable avenue to meet the rehabilitation needs of stroke survivors in resource-limited rural settings in developed countries as well as Low-and-Middle Income countries where stroke burden is rapidly escalating. (4,5)

Evidence of the efficacy of tele-rehabilitation after stroke has begun to accrue from randomized controlled trials. A meta-analysis in 2015 by Chen et al, involving 7 RCTs, assessed whether tele-rehabilitation led to improvement in abilities of activities of daily living of stroke patients at home and found no significant differences in abilities of activities of daily living and motor function between groups from pooled data. (6) An updated appraisal of the literature is justified since the last review was conducted 2 years ago and more studies using novel approaches have since been published. Furthermore, TR has been deployed for the home management of higher cortical dysfunction and depression after stroke in addition to physical rehabilitation of motor deficits.

METHODS

We searched PubMed and Cochrane Library from January 1, 1980 to June 30, 2017 using the following keywords: “Telerehabilitation stroke”, “Mobile health rehabilitation”, “Telemedicine stroke rehabilitation”, Telerehabilitation. We employed a systematic search methodology and study selection process.

Eligibility for inclusion were:

  1. Randomized controlled trials, pilot or feasibility trials, that reported the utilization of tele-rehabilitation for stroke survivors and a control group or usual care group.

  2. Rehabilitation interventions and assessments by telemedicine, telecommunication media, and intervention programs including phone, videoconferencing, telerehabilitation system, robot-assisted rehabilitation, and virtual and augmented reality therapy.

  3. Comparator groups were conventional rehabilitation, no rehabilitation.

  4. Minimum cumulative duration of rehabilitation intervention of 2 weeks.

Exclusion criteria

Literature reviews, meta-analysis, commentaries, concept papers on Tele-rehabilitation after stroke.

Search items were based on appropriate Medical subject headings and other headings including stroke, cerebrovascular accident, post-stroke, telerehabilitation, rehabilitation, telemedicine, home. No language restrictions were imposed on the searches or the identified studies. The articles included in this study underwent independent appraisal, data abstraction by 2 investigators (U.U. and F.S.S.) and B.O. served as arbiter for consensus. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement was followed for the systematic review.

Outcome measures

Common outcome measures used to assessed outcomes after tele-rehabilitation interventions included Barthel Index (BI) scale7, the Berg Balance Scale (BBS)8, Functional Independence Measure scale9. Other assessments of motor function were Fugl-Meyer Extremity test10, Wolf Motor Function Test, Timed Up and Go test, Nine Peg Test11, Action Research Arm Test,12 walking speed and Ashworth scale13, health-related quality of life (e.g. EuroQol-5 Dimension [EQ-5D]14, Short Form Health Survey15), caregivers stress (e.g. Caregivers’ Strain Index16), satisfaction (such as Satisfaction with Stroke Care Questionnaire17, satisfaction questionnaire), cognitive function (e.g. Mini-mental State Examination).

RESULTS

The search identified 1,331 records of which 49 were thought to be eligible based on their titles and abstract. The full texts of the 49 articles were retrieved and reviewed and 22 studies were deemed to fulfill the predefined inclusion criteria for the systematic review as shown in Figure 1. Eighteen (18) studies assessed the effect of tele-rehabilitation on motor function1823,25,2830,3239, two were on depression26,31 and two on higher cortical dysfunction namely aphasia27 and hemi-neglect24. Studies were conducted in the United States (n=7), Italy (n=3), China (n=2), Spain (n=2), United Kingdom (n=2), Australia (n=1), Brazil (n=1), Malaysia (n=1), Netherlands (n=1), South Korea (n=1), and Thailand (n=1). Among the studies that focused on motor rehabilitation, the duration of the intervention ranged between two weeks to 24 weeks with sample size in the intervention group ranging between 5 and 51. (Table 1) Among 18 studies on motor deficits, 11 studies assessed interventions on mobility or movement limitations imposed by hemiparesis18,19,2123,25,29,30,32,33,35-, 6 studies centered interventions on upper limb limitations20,28,3639 and 1 on ankle disability from stroke34. In general, all studies reviewed reported improvements in motor disabilities in the intervention groups receiving tele-rehabilitation as well as the control group in most primary and secondary outcome measures. However 7 out of the 18 studies on motor dysfunction reported significant improvements over time in the intervention group compared with comparator control groups.1921,25,28,33,34 In addition, the study by Lloréns R et al which assessed cost-effectiveness of tele-rehabilitation showed that the in-clinic intervention resulted in more expenses than the telerehabilitation program (654.72 $ per person)30.

Figure 1.

Figure 1

Flow diagram of assessment of studies identified in the systematic review.

Table 1.

Characteristics and outcomes of randomized controlled trials of studies included the systematic review.

Author, year, country Objectives Intervention Telerehabilitation Technology device Population Deficits and Outcome category measured Results
Chen et al, 2017
China [18]
1. To evaluate the effects of home-based tele-supervised rehabilitation on physical function for stroke survivors
2. To determine if rehabilitation therapy can relieve the burden on caregivers
Physical exercises and electromyography-triggered neuromuscular stimulation (ETNS) versus Conventional therapy

12 weeks intervention
Phone-based Intervention Group (I.G.): n = 27

Control Group (C.G.): n=27
HEMIPLEGIA
(Motor)
Modified Barthel Index (MBI),
Berg Balance Scale (BBS),
Modified Rankin Scale (mRS),
Caregiver Strain Index,
Root mean square (RMS) of extensor carpi radialis longus and tibialis anterior muscle
Both groups demonstrated significant effects within groups over the 3 time points in increasing MBI, BBS, RMS value of extensor carpi radialis longus and tibialis anterior, and decreasing Caregiver Strain Index (P < .001). No significant between-group differences.

Percentage of participants with MRS grades 0 and 1 in 2 groups increased over time without significant difference between the groups

da Fonseca, et al, 2017
Brazil [19]
Assess the therapeutic effect of virtual reality associated with conventional physiotherapy on gait balance and the occurrence of falls after a stroke Virtual Reality therapy program versus Conventional treatment

10 weeks intervention
Computer-based I.G. n=14
C.G. n=13
HEMIPARESIS
(Motor)
Dynamic Gait Index,
Number of falls
Improved gait balance and reduced occurrence of falls in both groups.
Improved gait balance in the I.G. vs C.G (P = .047)
Reduction in falls in the I.G. vs C.G. (P = .049)
Intergroup analysis: no difference in the two outcomes
Choi et al., 2016
South Korea [20]
To develop and evaluate the feasibility and effectiveness of a mobile game-based upper extremity virtual reality program for stroke patients Virtual Reality Rehab program on Smartphone and a tablet PC (MoU-Rehab) vs Conventional OT

2 weeks intervention
Phone-based I.G. n=12
C.G: n=12
UPPER LIMB DYSFUNCTION
(Motor)
Fugl–Meyer Assessment of the upper extremity [FMA-UE],
Brunnström stage [B-stage] for the arm and the hand,
Manual muscle testing [MMT],
Modified Barthel Index (MBI),
EuroQol-5 Dimension [EQ-5D],
Beck Depression Inventory [BDI],
Satisfaction questionnaire
A greater improvement in the FMA-UE, B-stage, and MMT found after treatment with the MoU-Rehab than with conventional therapy

Improvements in the MBI, EQ-5D, and BDI was not significantly different between the two groups

Experimental group completed treatment without adverse effects, and were generally satisfied with MoU-Rehab
Lorna Paul, 2016
UK [21]
To evaluate the potential effectiveness of STARFISH in stroke survivors Mobile phone app-based behavioral change intervention (STARFISH) vs Usual care

6 weeks intervention
Phone-based I.G. n=16
C.G. n=8
PHYSICAL ACTIVITY
(Motor)
Physical activity,
Sedentary time,
Fatigue Severity Scale,
Instrumental Activity of Daily Living Scale,
Ten-Meter Walk Test,
Stroke Specific Quality of Life Scale, and
Psychological General Well-Being Index
Average daily step count increased by 39.3% in the I.G. and reduced by 20.2% in the C.G. (P = 0.005 for group-time interaction)

Similar patterns of data and group-time interaction were seen for walking time (P = 0.002) and fatigue (P = 0.003)

No significant group–time interactions for other outcome measures

van den Berg et al, 2016, Australia [22] To investigate the effects of Caregiver-Mediated Exercises program commenced in hospital plus e-health support on self-reported mobility. Caregiver-mediated training program with e-health support versus Usual care

8 weeks intervention
Tablet-based I.G., n=31
C.G., n=32
MOBILITY CHALLENGES
(Motor)
Stroke Impact Scale mobility domain,
Length of stay,
Other Stroke Impact Scale domains, readmissions, motor impairment, strength, walking ability, balance, mobility, (extended) activities of daily living,
Psychosocial functioning,
Self-efficacy,
Quality of life, and fatigue
ITT: No between-group difference in Stroke Impact Scale mobility (P = 0.6);

Careers reported less fatigue (4.6, confidence interval [CI] 95% 0.3–8.8; P = 0.04) and higher self-efficacy (−3.3, CI 95% −5.7 to −0.9; P = 0.01) at week 12

Per-protocol analysis: I.G. demonstrated a trend toward improved mobility (−9.8, CI 95% −20.1 to 0.4; P=0.06), significantly improved extended activities of daily living scores at week 8 (−3.6, CI 95% −6.3 to −0.8; P=0.01) and week 12 (3.0, CI 95% −5.8 to −0.3; P=0.03), a 9-day shorter length of stay (P=0.046), and fewer readmissions over 12 months (P < 0.05)

Wolf, et al. 2015
USA [23]
To determine the efficacy of a home-based telemonitored robotic-assisted therapy as part of a home exercise program (HEP) compared with a dose-matched HEP-only intervention among individuals underserved stroke survivors < 6 months Robotic-Assisted Therapy (The Hand Mentor Pro robotic device) + HEP versus HEP

8 weeks intervention
Computer-based I.G., n= 47
C.G., n= 45
PERSISTENT HEMIPARESIS
(Motor)

Action Research Arm Test (ARAT), Wolf Motor Function Test (WMFT), Fugl-Meyer Assessment
Both groups demonstrated improvement across all upper extremity outcomes
Aparicio- López, et al. 2015, Spain [24] To evaluate whether combination of computerized cognitive rehabilitation with right hemifield eye-patching (RHEP) in patients with left spatial neglect after stroke is better than computerized cognitive rehabilitation applied in isolation Computerized cognitive rehabilitation (Guttmann, NeuroPersonalTrainer® telerehabilitation platform) + RHEP vs Cognitive rehabilitation program

15 one-hour interventions
Computer-based Combination treatment (TC), N= 13
Single treatment (ST), N= 15
VISUO-SPATIAL NEGLECT
(Higher cortical function)

Bell Cancelation Test,
Figure Copying of Ogden (FCO),
Line Bisection,
Baking Tray Task (BTT),
Reading Task,
Catherine Bergego Scale (CBS)
Both the ST and the TC group showed improvements in neuropsychological examination protocol although there were no differences pre- and post-treatment on the functional scale in either group
No statistically significant differences were observed in intergroup comparison

Chumbler et al, 2015, USA [25] To determine the effect of a multifactorial stroke telerehabilitation (STeleR) in-home intervention on falls-related self-efficacy and patient satisfaction Functionality based exercises and adaptive strategies
(STeleR) Intervention vs Usual care

3 months intervention
Phone-based STeleR Group: n=25
Usual Care Group: n=23
FALLS
(Motor)

Falls Self Efficacy
Falls Efficacy Scale
Stroke-Specific Patient Satisfaction with Care (SSPSC) scale,
STeleR group showed significant improvements in their satisfaction with hospital care, P =.029) compared with control group.
No improvements in fall-related self-efficacy.
Linder et al, 2015, USA [26] To determine the effects of home-based robot-assisted rehabilitation coupled with a Home Exercise Program (HEP) compared with a HEP alone on depression and quality of life in people after stroke Robot-assisted therapy plus HEP versus HEP

8 weeks intervention
Phone-based monitoring of intervention Robot-assisted therapy and HEP, n= 51 HEP, n= 48 participants DEPRESSION
(Neuropsychiatric)

Stroke Impact Scale (SIS),
Center for Epidemiologic Studies Depression Scale (CES–D)
Significant changes in all but one domain on the SIS and the Center for CES-D for both groups.

Woolf et al., 2016, UK [27] To test the feasibility of a face to face versus remotely delivered word finding therapy for people with aphasia Word finding therapy

(I) remote therapy delivered from a University lab (Mainstream video conferencing)
(II) clinical site (Mainstream video conferencing)/
(III) face to face therapy/
(IV) an attention control condition.

4 weeks intervention
Video-conferencing I group: 5 patients
II group: 5 patients
III group: 5 patients
IV group: 5 patients
APHASIA
(Higher cortical function)

Recruitment and attrition rates,
Participant observations and interviews,
Treatment fidelity checking
Tests of picture naming and naming in conversation
Compliance and satisfaction with the intervention was good
Treatment fidelity was high for both remote and face to face delivery (1251/1421 therapist behaviors were compliant with the protocol)
Participants who received therapy improved on picture naming significantly more than controls (mean numerical gains: 20.2 (remote from University); 41 (remote from clinical site); 30.8 (face to face); 5.8 (attention control); P <.001)
There were no significant differences between groups in the assessment of conversation.
Benvenuti et al., 2014, Italy [28] To evaluate the safety, acceptance, adherence, and effectiveness of a community-based exercise program for upper limb paresis in patients with chronic stroke and the effects of telerehabilitation monitoring in kiosks distributed through the community Home Exercise Program (Carr and Shepherd “Motor Learning Program” + kiosk) versus Usual care

3 month intervention
Tele-monitoring at kiosks Treatment Group, n= 45
Usual Care Group, n=143
UPPER LIMB PARESIS
(Motor)

Upper extremity impairments Motricity Index,
Nine-Hole Peg Test,
Wolf Motor Function Test (WMFT),
Nottingham Extended ADLs (NEADL),
Barthel Index,
Short Physical Performance Battery,
Stroke Impact Scale (SIS)
Patients in the experimental group demonstrated significant gains in arm function as measured by the WMFT (P <.0001), 9-Hole Peg Test (P <.009), Motricity Index (P <.0001), and NEADL (P <.002)

The intervention received high satisfaction ratings and produced no adverse events

Only 30% of the subjects attended kiosks regularly

Outcomes for this group did not differ significantly from those who only practiced at home
Lin et al., 2014, Republic of China [29] To evaluate the effect of a bidirectional and multiuser telerehabilitation system on balance and satisfaction in patients with chronic stroke living in long-term care facilities (LTCFs) Physical exercise Telerehabilitation Program (The 3D animation exercise videos + 3D interactive games) versus Conventional therapy

4 weeks intervention
Computer-based Telerehabilitation (Tele) group, n= 12 patients

Conventional therapy group, n=12 patients
DYSFUNCTION OF BALANCE AND FUNCTIONAL ACTIVITY
(Motor)

Berg Balance Scale (BBS),
Barthel Index (BI),
Telerehabilitation satisfaction
Training programs conducted for both the Tele and Conventional groups showed significant effects within groups on the participant BBS as well as the total and self-care scores of BI
No significant difference between groups could be demonstrated
The satisfaction of participants between the Tele and the Conventional groups also did not show significant difference

Lloréns R et al, 2014, Spain [30] To evaluate the clinical effectiveness of a Virtual reality -based telerehabilitation program in the balance recovery of hemiparetic individuals post-stroke in comparison to an inclinic program; to compare the subjective experiences; to contrast the costs Virtual reality based Telerehabilitation system at home versus Telerehabilitation system at clinic
- twenty 45-minute training sessions 3× a week intervention
Computer-based I.G., n= 15
C.G., n= 16
RESIDUAL HEMIPARESIS
(Motor)
Berg Balance Scale (BBS),
Balance and gait subscales of the Performance- Oriented Mobility Assessment,
Brunel Balance Assessment (BBA),
The System Usability Scale and the Intrinsic Motivation Inventory,
Expenses in dollars for cost
Significant improvement in both groups from the initial to the final assessment in the BBS (P=0.001), in the balance (P=0.006) and gait subscales (P=0.001) of the Tinetti Performance- Oriented Mobility Assessment, and in the BBA (P=0.002; and P=0.001).
No significant differences between groups in any balance scale, nor in the feedback questionnaires.
With regards to subjective experiences, both groups considered the VR system similarly usable and motivating.
The in-clinic intervention resulted in more expenses than the telerehabilitation program (654.72 $ per person).
Smith et al., 2012, USA [31] To develop and test the efficacy of a web-based intervention for alleviating depression in male stroke survivors and their spousal caregivers (CG) that blends both peer and professional support. Web-based intervention for alleviating depression
Intervention condition at home (Professional Guide, Educational Videos, Online Chat Sessions, E- mail and Message Board, and Resource Room) versus Information-only control condition at home (minimal support with individualized access to relevant online information)

11 weeks intervention
Videos and messaging I.G., n=15
C.G., n=17
DEPRESSION
(Neuropsychiatrie)
20-item CESD,
PHQ-9,
9 items from the Mastery Scale,
10-item Self-Esteem Scale,
11 items from the MOS Social Support Survey,
Credibility/Expectancy Questionnaire
At posttest and one month later, CGs in the intervention group reported significantly lower depression than CGs in the control group with baseline depression controlled
There was no significant effect on depression among SSs
Although no significant treatment effects for either SSs or CGs were found on the secondary outcomes, post-treatment changes on some constructs were significantly correlated with change in depression

Redzuan et al., 2012, Malaysia [32] To evaluate the effectiveness of an intervention using video to deliver therapy at home for patients with stroke Video-Based Physical Therapy Program (Digital videodisk containing therapy techniques) versus Weekly outpatient therapy sessions

3 month intervention
Videos I.G., n= 44
C.G., n= 46
HEMIPLEGIC STROKE
(Motor)

Modified Barthel Index (MBI) score,
Incidence of poststroke complications
Caregiver Strain Index
No significant differences with regard to the number of patients with improved MBI score, complication rate, or Caregiver Strain Index score between the 2 groups

Both groups had significant increases in the MBI score at 3 months (P <.001 for both groups)

Regression analysis revealed that only stroke severity significantly influenced the MBI score (P <.001), complication rate (P <.01), and caregiver stress level (P <.05).

Chaiyawat, et al. 2012, Thailand [33] To develop and examine the effectiveness of individual 6-month home rehabilitation program in ischemic stroke patients upon disability and quality of life at 2 years. Home-based physical exercise program
Interventional care (Audiovisual materials) versus Usual care

6 month intervention
Videos I.G., n=30
C.G., n= 30
POST-STROKE DISABILITY
(Motor)

Barthel’s Index (BI),
Modified Rankin Score (mRS) and
Utility index (EQ-5D),
Disability and quality of life
At 2 years, the BI was significantly improved in the I.G. more than C.G. (97.2 ± 2.8 vs. 76.4 ± 9.4, P < 0.001)
The good outcome, defined as BI 95–100, or mRS 0 or 1. For BI, there were 29 patients (96.7%) in I.G. vs 12 patients (42.9%) in C.G. (95% CI, 42.0, 85.0, P = 0.03)
For mRS, there were 28 patients (93.3%) in intervention group vs 9 patients (32.1%) in usual care group (95% CI, 38.2, 87.0, P = 0.02)
Number needed to treat for good outcome in mRS was 2.0 (95% CI: 1.0, 1.3)
The mean (SD) of utility index in intervention group and control group were 0.9 ± 0.02 and 0.7 ± 0.04 respectively (P = 0.03)
There was no significant interaction in baseline characteristics and treatment outcome.

Deng, et al. 2012, USA [34] To explore the feasibility of using telerehabilitation to improve ankle dorsiflexion during the swing phase of gait in people with stroke and to compare complex versus simple movements of the ankle in promoting behavioral change and brain reorganization Complex/Simple movement training

20 days intervention
Computer-based Track Group: 8 patients
Move Group: 8 patients
PARETIC ANKLE
(Motor)
10-m walk test and motion capture system,
Ankle tracking during fMRI
Dorsiflexion during gait was significantly larger in the track group compared with the move group (P=.017)

For fMRI, although the volume, percent volume, and intensity of cortical activation failed to show significant changes, the frequency count of the number of participants showing an increase versus a decrease in these values from pretest to posttest measurements was significantly different between the 2 groups, with the track group decreasing and the move group increasing (P=.0014)
Chumbler, et al. 2012, USA [35] To examine a telerehabilitation intervention that uses telehealth technology to improve outcomes of patients post-stroke after discharge home Physical exercise program

Stroke telerehabilitation (STeleR) [home televisits, in-home messaging devices (IHMD) and telephone intervention] versus Usual care

3 months intervention
Phone-based STeleR Group: 25 participants
Usual Care Group: 23 participants
PHYSICAL DYSFUNCTION AND DISABILITY
(Motor)
Motor subscale of the Telephone Version of Functional Independence Measure (FONEFIM)
Function scales of the Late-Life Function and Disability Instrument (LLFDI), 3 subscales of the LLFDI Function Component: upper extremity function, basic lower extremity function, and advanced lower extremity function
FEONFEIM and LLFDI improved for the STeleR group and declined for the usual care group (not statistically significant)

Secondary Outcomes: At 6 months, compared with the usual care group, the STeleR group showed statistically significant improvements in 4 of the 5 LLFDI disability component subscales (P 0.05), and approached significance in 1 of the 3 Function component subscales (P 0.06)

Piron, et al. 2009, Italy [36] To compare the effects of a traditional rehabilitation therapy with an innovative rehabilitative Virtual Reality-based technique provided at distance by telemedicine Telerehabilitation system (motor tasks and video consulting system) versus Conventional physiotherapy

4 week intervention
Video-based TeleRehab group: 18 patients
Control group: 18 patients
PARETIC UPPER LIMB
(Motor)

Fugl-Meyer Upper Extremity scale,

ABILHAND scale,

Ashworth scale
Both rehabilitative therapies significantly improved all outcome scores after treatment, but only the Fugl-Meyer Upper Extremity scale showed differences in the comparison between groups.

Huijgen, et al. 2008, Netherlan ds [37] To investigate the feasibility of the Home Care Activity Desk (HCAD) training system for clinical use by comparing its clinical outcomes with usual care Home Care Activity Desk training system-exercise versus Usual care

4 week intervention
Not clear I.G., n= 11
C.G., n= 5
ARM/HAND DYSFUNCTION
(Motor)
Action Research Arm Test and the Nine-Hole Peg Test,
Visual Analogue Scale
There were no significant differences between the two groups on the outcome measures (ARAT and NHPT); in both groups, patients maintained or even improved their arm/ hand function
The HCAD training was found to be as feasible as usual care in terms of clinical outcomes, and both therapists and patients were satisfied with the HCAD intervention

Piron et al., 2008, Italy [38] To assess how the presence or absence of the therapist affected patient satisfaction in the VR sessions as compared to patient satisfaction experienced in the Tele-VR sessions. Virtual reality (VR) therapy program (3D motion tracking system) at home versus hospital based therapy
- 4 weeks intervention
Video-based Tele-VR group: 5 patients
VR group: 5 patients
ARM MOTOR IMPAIRMENT
(Motor)

Multidimensional, disease and treatment specific satisfaction questionnaire,
Fugl-Meyer scale, Upper Extremity (Fugl-Meyer UE) score
Tele-VR treated patients showed median values equal to or higher than the VR group patients in all 12 items investigated, except one
In motor performance, the Tele-VR group improved significantly (P 0.05), while the VR group showed no significant change
Patients assigned to the Tele-VR group were able to engage in therapy at home and the videoconferencing system ensured a good relationship between the patient and the physical therapist whose physical proximity was not required

Carey et al., 2007, USA [39] To compare 2 telerehabilitation training strategies, repetitive tracking movements versus repetitive simple movements, to promote brain reorganization and recovery of hand function Computerized tracking training versus Movement training

2 week intervention
Computer-based Track group (TG): 10 patients
Move group (MG):10 patients
PARETIC HAND - FINGER EXTENSION DISABILITY
(Motor)

Box and Block test,
Jebsen Taylor test, and
Finger range of motion, along with a finger-tracking activation paradigm during fMRI.
The TG showed significant improvement in all 4 behavioral tests; the MG improved in the Box and Block and Jebsen Taylor tests
A consistent group pattern of brain reorganization was not evident
The move group, after crossing over, did not show further significant improvements

VR=Virtual Reality; OT=Occupational Therapy; ITT=Intention to treat analysis; I.G.=Intervention Group; C.G.= Control Group; HEP=Home Exercise Program.

Two studies assessed tele-rehabilitation intervention for recovery from higher cortical dysfunction after stroke namely aphasia27 and visuo-spacial neglect using the Guttmann NeuroPersonalTrainer® cognitive telerehabilitation program24. Both studies demonstrated feasibility of the interventions with improvements in higher cortical deficits assessed albeit not significantly different from the comparator groups. Finally, the two studies assessing the effects of tele-rehabilitation on resolution of depression among stroke survivors or care givers demonstrated improvement in both intervention and control population but non-significant differences between the two populations.26,31

DISCUSSION

In this systematic review of literature, we show that tele-rehabilitation for motor and higher cortical deficits as well as post-stroke depression appear to be as effective as in-person therapies if not better. Most studies identified in this review were of limited sample size with duration of interventions lasting two to three months which may be short given that most recovery after stroke peaks at month 6 to 12 months of ictus. Although the review by Chen et al in 2015 found no significant differences in abilities of activities of daily living and motor function between groups from pooled data, 4 out of the 5 studies that have since been published after their review has shown evidence of efficacy in favor of the Tele-rehabilitation group.1822

The routine implementation of telemedicine for post-stroke rehabilitation could be especially important for regions around the world with a paucity of socioeconomic resources, including under-resourced areas of high-income countries, where neuro-rehab experts and facilities are virtually non-existent. In particular, the findings of this updated systematic review may have important implications for Low-and-Middle Income countries in sub-Saharan Africa where tele-neurology has been proposed as a promising avenue to explore40,41 due to the severe shortage of skilled personnel in the midst of an enormous burden of stroke which is associated with high mortality4,5,42, post-stroke depression43, vascular cognitive impairment44 and stigma45. Phone-based interventions have indeed demonstrated potential efficacy suggesting signals for blood pressure control among stroke survivors in Ghana46,47 as well as feasibility for post-stroke rehabilitation4850. Future trials on the feasibility, efficacy and cost-effectiveness of tele-rehabilitation in SSA and indeed in other Low-and-Middle Income Countries where stroke burden is burgeoning51,52 are warranted. Larger, well-powered, longer-term studies are needed to establish the routine utility of tele-rehabilitation for stroke survivors globally.

Acknowledgments

Sources of funding: National Institute of Health- National Institute of Neurological Disorders & Stroke; R21 NS094033; National Institute of Health- Forgarty International Center R21 TW010479-01.

Footnotes

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Conflicts of Interest: All authors have none to declare.

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