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      Telemedicine and Virtual Reality for Cognitive Rehabilitation: A Roadmap for the COVID-19 Pandemic

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          Abstract

          The current COVID-19 pandemic presents unprecedented new challenges to public health and medical care delivery. To control viral transmission, social distancing measures have been implemented all over the world, interrupting the access to routine medical care for many individuals with neurological diseases. Cognitive disorders are common in many neurological conditions, e.g., stroke, traumatic brain injury, Alzheimer's disease, and other types of dementia, Parkinson's disease and parkinsonian syndromes, and multiple sclerosis, and should be addressed by cognitive rehabilitation interventions. To be effective, cognitive rehabilitation programs must be intensive and prolonged over time; however, the current virus containment measures are hampering their implementation. Moreover, the reduced access to cognitive rehabilitation might worsen the relationship between the patient and the healthcare professional. Urgent measures to address issues connected to COVID-19 pandemic are, therefore, needed. Remote communication technologies are increasingly regarded as potential effective options to support health care interventions, including neurorehabilitation and cognitive rehabilitation. Among them, telemedicine, virtual reality, augmented reality, and serious games could be in the forefront of these efforts. We will briefly review current evidence-based recommendations on the efficacy of cognitive rehabilitation and offer a perspective on the role of tele- and virtual rehabilitation to achieve adequate cognitive stimulation in the era of social distancing related to COVID-19 pandemic. In particular, we will discuss issues related to their diffusion and propose a roadmap to address them. Methodological and technological improvements might lead to a paradigm shift to promote the delivery of cognitive rehabilitation to people with reduced mobility and in remote regions.

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          The Covid-19 Pandemic and the Incidence of Acute Myocardial Infarction

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            Telerehabilitation services for stroke

            Telerehabilitation offers an alternate way of delivering rehabilitation services. Information and communication technologies are used to facilitate communication between the healthcare professional and the patient in a remote location. The use of telerehabilitation is becoming more viable as the speed and sophistication of communication technologies improve. However, it is currently unclear how effective this model of delivery is relative to rehabilitation delivered face‐to‐face or when added to usual care. To determine whether the use of telerehabilitation leads to improved ability to perform activities of daily living amongst stroke survivors when compared with (1) in‐person rehabilitation (when the clinician and the patient are at the same physical location and rehabilitation is provided face‐to‐face); or (2) no rehabilitation or usual care. Secondary objectives were to determine whether use of telerehabilitation leads to greater independence in self‐care and domestic life and improved mobility, balance, health‐related quality of life, depression, upper limb function, cognitive function or functional communication when compared with in‐person rehabilitation and no rehabilitation. Additionally, we aimed to report on the presence of adverse events, cost‐effectiveness, feasibility and levels of user satisfaction associated with telerehabilitation interventions. We searched the Cochrane Stroke Group Trials Register (June 2019), the Cochrane Central Register of Controlled Trials (the Cochrane Library , Issue 6, 2019), MEDLINE (Ovid, 1946 to June 2019), Embase (1974 to June 2019), and eight additional databases. We searched trial registries and reference lists. Randomised controlled trials (RCTs) of telerehabilitation in stroke. We included studies that compared telerehabilitation with in‐person rehabilitation or no rehabilitation. In addition, we synthesised and described the results of RCTs that compared two different methods of delivering telerehabilitation services without an alternative group. We included rehabilitation programmes that used a combination of telerehabilitation and in‐person rehabilitation provided that the greater proportion of intervention was provided via telerehabilitation. Two review authors independently identified trials on the basis of prespecified inclusion criteria, extracted data and assessed risk of bias. A third review author moderated any disagreements. The review authors contacted investigators to ask for missing information. We used GRADE to assess the quality of the evidence and interpret findings. We included 22 trials in the review involving a total of 1937 participants. The studies ranged in size from the inclusion of 10 participants to 536 participants, and reporting quality was often inadequate, particularly in relation to random sequence generation and allocation concealment. Selective outcome reporting and incomplete outcome data were apparent in several studies . Study interventions and comparisons varied, meaning that, in many cases, it was inappropriate to pool studies. Intervention approaches included post‐hospital discharge support programs, upper limb training, lower limb and mobility retraining and communication therapy for people with post‐stroke language disorders. Studies were either conducted upon discharge from hospital or with people in the subacute or chronic phases following stroke. Primary outcome: we found moderate‐quality evidence that there was no difference in activities of daily living between people who received a post‐hospital discharge telerehabilitation intervention and those who received usual care (based on 2 studies with 661 participants (standardised mean difference (SMD) ‐0.00, 95% confidence interval (CI) ‐0.15 to 0.15)). We found low‐quality evidence of no difference in effects on activities of daily living between telerehabilitation and in‐person physical therapy programmes (based on 2 studies with 75 participants: SMD 0.03, 95% CI ‐0.43 to 0.48). Secondary outcomes: we found a low quality of evidence that there was no difference between telerehabilitation and in‐person rehabilitation for balance outcomes (based on 3 studies with 106 participants: SMD 0.08, 95%CI ‐0.30 to 0.46). Pooling of three studies with 569 participants showed moderate‐quality evidence that there was no difference between those who received post‐discharge support interventions and those who received usual care on health‐related quality of life (SMD 0.03, 95% CI ‐0.14 to 0.20). Similarly, pooling of six studies (with 1145 participants) found moderate‐quality evidence that there was no difference in depressive symptoms when comparing post‐discharge tele‐support programs with usual care (SMD ‐0.04, 95% CI ‐0.19 to 0.11). We found no difference between groups for upper limb function (based on 3 studies with 170 participants: mean difference (MD) 1.23, 95% CI ‐2.17 to 4.64, low‐quality evidence) when a computer program was used to remotely retrain upper limb function in comparison to in‐person therapy. Evidence was insufficient to draw conclusions on the effects of telerehabilitation on mobility or participant satisfaction with the intervention. No studies evaluated the cost‐effectiveness of telerehabilitation; however, five of the studies reported health service utilisation outcomes or costs of the interventions provided within the study. Two studies reported on adverse events, although no serious trial‐related adverse events were reported. While there is now an increasing number of RCTs testing the efficacy of telerehabilitation, it is hard to draw conclusions about the effects as interventions and comparators varied greatly across studies. In addition, there were few adequately powered studies and several studies included in this review were at risk of bias. At this point, there is only low or moderate‐level evidence testing whether telerehabilitation is a more effective or similarly effective way to provide rehabilitation. Short‐term post‐hospital discharge telerehabilitation programmes have not been shown to reduce depressive symptoms, improve quality of life, or improve independence in activities of daily living when compared with usual care. Studies comparing telerehabilitation and in‐person therapy have also not found significantly different outcomes between groups, suggesting that telerehabilitation is not inferior. Some studies reported that telerehabilitation was less expensive to provide but information was lacking about cost‐effectiveness. Only two trials reported on whether or not any adverse events had occurred; these trials found no serious adverse events were related to telerehabilitation. The field is still emerging and more studies are needed to draw more definitive conclusions. In addition, while this review examined the efficacy of telerehabilitation when tested in randomised trials, studies that use mixed methods to evaluate the acceptability and feasibility of telehealth interventions are incredibly valuable in measuring outcomes. Telerehabilitation services for stroke Review question 
 This review aimed to gather evidence for the use of telerehabilitation after stroke. We aimed to compare telerehabilitation with therapy delivered face‐to‐face and with no therapy (usual care). Background 
 Stroke is a common cause of disability in adults. After a stroke, it is common for the individual to have difficulty managing everyday activities such as walking, showering, dressing, and participating in community activities. Many people need rehabilitation after stroke; this is usually provided by healthcare professionals in a hospital or clinic setting. Recent studies have investigated whether it is possible to use technologies such as the telephone or the Internet to help people communicate with healthcare professionals without having to leave their home. This approach, which is called telerehabilitation, may be a more convenient and less expensive way of providing rehabilitation. Telerehabilitation may be used to improve a range of outcomes including physical functioning and mood. Study characteristics 
 We searched for studies in June 2019 and identified 22 studies involving 1937 people after stroke. The studies used a wide range of treatments, including therapy programmes designed to improve arm function and ability to walk and programmes designed to provide counselling and support for people upon leaving hospital after stroke. Key results 
 As the studies were very different, it was rarely appropriate to combine results to determine overall effect. We found that people who received telerehabilitation had similar outcomes for activities of daily living function to those that received face‐to‐face therapy and those that received no therapy (usual care). At this point, not enough research has been done to show whether telerehabilitation is a more effective way to provide rehabilitation. Some studies report that telerehabilitation is less expensive to provide but information is lacking about cost‐effectiveness. Only two trials reported on whether or not any adverse events had occurred; these trials found no serious adverse events were related to telerehabilitation. Further trials are required. Quality of the evidence 
 The quality of the evidence was generally of low or moderate quality. The quality of the evidence for each outcome was limited due to small numbers of study participants and poor reporting of study details.
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              Virtual Reality Therapy for Adults Post-Stroke: A Systematic Review and Meta-Analysis Exploring Virtual Environments and Commercial Games in Therapy

              Background The objective of this analysis was to systematically review the evidence for virtual reality (VR) therapy in an adult post-stroke population in both custom built virtual environments (VE) and commercially available gaming systems (CG). Methods MEDLINE, CINAHL, EMBASE, ERIC, PSYCInfo, DARE, PEDro, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews were systematically searched from the earliest available date until April 4, 2013. Controlled trials that compared VR to conventional therapy were included. Population criteria included adults (>18) post-stroke, excluding children, cerebral palsy, and other neurological disorders. Included studies were reported in English. Quality of studies was assessed with the Physiotherapy Evidence Database Scale (PEDro). Results Twenty-six studies met the inclusion criteria. For body function outcomes, there was a significant benefit of VR therapy compared to conventional therapy controls, G = 0.48, 95% CI = [0.27, 0.70], and no significant difference between VE and CG interventions (P = 0.38). For activity outcomes, there was a significant benefit of VR therapy, G = 0.58, 95% CI = [0.32, 0.85], and no significant difference between VE and CG interventions (P = 0.66). For participation outcomes, the overall effect size was G = 0.56, 95% CI = [0.02, 1.10]. All participation outcomes came from VE studies. Discussion VR rehabilitation moderately improves outcomes compared to conventional therapy in adults post-stroke. Current CG interventions have been too few and too small to assess potential benefits of CG. Future research in this area should aim to clearly define conventional therapy, report on participation measures, consider motivational components of therapy, and investigate commercially available systems in larger RCTs. Trial Registration Prospero CRD42013004338
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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                15 September 2020
                2020
                15 September 2020
                : 11
                : 926
                Affiliations
                [1] 1Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona , Verona, Italy
                [2] 2Section of Neurology, Department of Neurosciences, Verona University Hospital , Verona, Italy
                [3] 3Giustino Fortunato University , Benevento, Italy
                [4] 4IRCCS Mondino Foundation , Pavia, Italy
                [5] 5Department of Computer Science, University of Verona , Verona, Italy
                [6] 6Department of Brain and Behavioral Sciences, University of Pavia , Pavia, Italy
                [7] 7Department of Diagnostics and Public Health, University of Verona , Verona, Italy
                Author notes

                Edited by: Stefano F. Cappa, University Institute of Higher Studies in Pavia, Italy

                Reviewed by: Paolo Caffarra, University of Parma, Italy; Rocco Salvatore Calabrò, Centro Neurolesi Bonino Pulejo (IRCCS), Italy

                *Correspondence: Stefano Tamburin stefano.tamburin@ 123456univr.it

                This article was submitted to Neurorehabilitation, a section of the journal Frontiers in Neurology

                †These authors share first authorship

                ‡These authors share senior authorship

                §ORCID: Stefano Tamburin orcid.org/0000-0002-1561-2187

                Article
                10.3389/fneur.2020.00926
                7522345
                33041963
                4877f76f-3feb-4af8-8824-24c75a4ad068
                Copyright © 2020 Mantovani, Zucchella, Bottiroli, Federico, Giugno, Sandrini, Chiamulera and Tamburin.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 June 2020
                : 17 July 2020
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 81, Pages: 8, Words: 5974
                Categories
                Neurology
                Perspective

                Neurology
                augmented reality,cognitive,covid-19,rehabilitation,telemedicine,virtual reality
                Neurology
                augmented reality, cognitive, covid-19, rehabilitation, telemedicine, virtual reality

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