Health knowledge after stroke in Switzerland: a survey among health professionals on current practice and suggestions for the implementation of a technology-based educational program for stroke survivors.

BACKGROUND: It is estimated that 1 in 4 stroke survivors will experience a second stroke. Educating patients about risk factors for stroke and a generally healthier lifestyle may help prevent recurrent strokes, which are a burden on society and the healthcare system. The goals of this paper were to investigate the estimated level of knowledge of stroke patients regarding their disease, the methods of information commonly used in clinical practice, the topics that should be included in an educational program aimed at improving health knowledge among stroke survivors, and how such a program could be delivered with the help of technology-based education (i.e., information delivered by digital platforms such as smartphones or rehabilitation technologies). METHODS: We performed a survey among health professionals working with stroke patients in Switzerland. RESULTS: 161 health professionals of different backgrounds took part in the survey, and 94 completed it. According to the results, only 33% of healthcare professionals thought that patients were well informed about stroke one month after stroke onset. These findings suggest that there is room for improvement in how stroke patients are educated about stroke, risk factors, and prevention. Additionally, it was highlighted that technology is not commonly used in clinical practice to support patients' education, although this is an acceptable method for healthcare professionals. The results also helped to identify key topics to be included in an educational program and recommendations for implementing such a program in rehabilitation technologies. CONCLUSIONS: This work allowed gaining more insight into healthcare professionals' opinions on the potential of technology-based education and key aspects to consider when implementing it to support health and prevention knowledge after stroke.

Technology Assisted Rehabilitation Patient Perception Questionnaire (TARPP-Q): development and implementation of an instrument to evaluate patients' perception during training.

BACKGROUND: The introduction of technology-assisted rehabilitation (TAR) uncovers promising challenges for the treatment of motor disorders, particularly if combined with exergaming. Patients with neurological diseases have proved to benefit from TAR, improving their performance in several activities. However, the subjective perception of the device has never been fully addressed, being a conditioning factor for its use. The aims of the study were: (a) to develop a questionnaire on patients' personal experience with TAR and exergames in a real-world clinical setting; (b) to administer the questionnaire to a pilot group of neurologic patients to assess its feasibility and statistical properties. METHODS: A self-administrable and close-ended questionnaire, Technology Assisted Rehabilitation Patient Perception Questionnaire (TARPP-Q), designed by a multidisciplinary team, was developed in Italian through a Delphi procedure. An English translation has been developed with consensus, for understandability purposes. The ultimate version of the questionnaire was constituted of 10 questions (5 with multiple answers), totalling 29 items, exploring the patient's performance and personal experience with TAR with Augmented Performance Feedback. TARPP-Q was then administered pre-post training in an observational, feasible, multi-centric study. The study involved in-patients aged between 18 and 85 with neurological diseases, admitted for rehabilitation with TAR (upper limb or gait). FIM scale was run to control functional performance. RESULTS: Forty-four patients were included in the study. All patients answered the TARPP-Q autonomously. There were no unaccounted answers. Exploratory factor analyses identified 4 factors: Positive attitude, Usability, Hindrance perception, and Distress. Internal consistency was measured at T0. The values of Cronbach's alpha ranged from 0.72 (Distress) to 0.92 (Positive attitude). Functional Independence Measure (FIM®) scores and all TARPP-Q factors (Positive attitude, Usability, Hindrance perception, except for Distress (p = 0.11), significantly improved at the end of the treatment. A significant positive correlation between Positive attitude and Usability was also recorded. CONCLUSIONS: The TARPP-Q highlights the importance of patients' personal experience with TAR and exergaming. Large-scale applications of this questionnaire may clarify the role of patients' perception of training effectiveness, helping to customize devices and interventions.

Progressive Transition From Supervised to Unsupervised Robot-Assisted Therapy After Stroke: Protocol for a Single-Group, Interventional Feasibility Study.

BACKGROUND: Increasing the dose of therapy delivered to patients with stroke may improve functional outcomes and quality of life. Unsupervised technology-assisted rehabilitation is a promising way to increase the dose of therapy without dramatically increasing the burden on the health care system. Despite the many existing technologies for unsupervised rehabilitation, active rehabilitation robots have rarely been tested in a fully unsupervised way. Furthermore, the outcomes of unsupervised technology-assisted therapy (eg, feasibility, acceptance, and increase in therapy dose) vary widely. This might be due to the use of different technologies as well as to the broad range of methods applied to teach the patients how to independently train with a technology. OBJECTIVE: This paper describes the study design of a clinical study investigating the feasibility of unsupervised therapy with an active robot and of a systematic approach for the progressive transition from supervised to unsupervised use of a rehabilitation technology in a clinical setting. The effect of unsupervised therapy on achievable therapy dose, user experience in this therapy setting, and the usability of the rehabilitation technology are also evaluated. METHODS: Participants of the clinical study are inpatients of a rehabilitation clinic with subacute stroke undergoing a 4-week intervention where they train with a hand rehabilitation robot. The first week of the intervention is supervised by a therapist, who teaches participants how to interact and train with the device. The second week consists of minimally supervised therapy, where the therapist is present but intervenes only if needed as participants exercise with the device. If the participants properly learn how to train with the device, they proceed to the unsupervised phase and train without any supervision during the third and fourth weeks. Throughout the duration of the study, data on feasibility and therapy dose (ie, duration and repetitions) are collected. Usability and user experience are evaluated at the end of the second (ie, minimally supervised) and fourth (ie, unsupervised) weeks, allowing us to investigate the effect of therapist absence. RESULTS: As of April 2023, 13 patients were recruited and completed the protocol, with no reported adverse events. CONCLUSIONS: This study will inform on the feasibility of fully unsupervised rehabilitation with an active rehabilitation robot in a clinical setting and its effect on therapy dose. Furthermore, if successful, the proposed systematic approach for a progressive transition from supervised to unsupervised technology-assisted rehabilitation could serve as a benchmark to allow for easier comparisons between different technologies. This approach could also be extended to the application of such technologies in the home environment, as the supervised and minimally supervised sessions could be performed in the clinic, followed by unsupervised therapy at home after discharge. TRIAL REGISTRATION: ClinicalTrials.gov NCT04388891; https://clinicaltrials.gov/study/NCT04388891. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48485.

Effects of modern technology (exergame and virtual reality) assisted rehabilitation vs conventional rehabilitation in patients with Parkinson's disease: a network meta-analysis of randomised controlled trials.

BACKGROUND: Modern technological applications, including exergames and virtual technology-assisted rehabilitation (VTAR) programmes, are promising for Parkinson's disease (PD) rehabilitation. However, evidence regarding their efficacy for rehabilitation is inconclusive. OBJECTIVES: This network meta-analysis (NMA) investigated the efficacy of exergames and VTAR on gait and balance outcomes and acceptability for patients with PD. DATA SOURCES: ClinicalKey, Cochrane CENTRAL, Embase, ProQuest, PubMed, ScienceDirect, Web of Science and ClinicalTrials.gov. STUDY SELECTION: Randomised controlled trials (RCTs) investigating changes in gait or balance parameters were included in this study. STUDY APPRAISAL AND SYNTHESIS METHODS: In the NMA, standardised mean differences with 95% confidence intervals were calculated using a frequentist model. GRADE ratings were used to evaluate the quality of evidence in this study. RESULTS: Twenty-three RCTs with 949 participants were included. Exergames and VTAR were associated with significantly better improvements in balance and gait outcomes than usual treatment and other active control interventions. However, exergames were not associated with changes in depressive symptoms. The evaluation of acceptability results indicated that all exergames and VTAR were adequately tolerated, as indicated by the low drop-out rates. LIMITATIONS: Small sample sizes and heterogeneity were the key limitations of this study. CONCLUSION AND IMPLICATIONS OF KEY FINDINGS: This NMA confirmed that exergames are associated with more favourable gait and balance outcomes in patients with PD compared with usual treatment and other active control interventions. GRADE ratings revealed that most direct, indirect and overall network evidence was of low to medium quality. Larger-scale studies with longer follow-up periods are warranted.