Adherence to a Rehabilitation Regimen in Stroke Patients: A Concept Analysis

Personalized rehabilitation approach for reaching movement using reinforcement learning

Musculoskeletal disorders challenge significantly the performance of many daily life activities, thus impacting the quality of life. The efficiency of the traditional physical therapy programs is limited by ecological parameters such as intervention duration and frequency, number of caregivers, geographic accessibility, as well as by subjective factors such as patient's motivation and perseverance in training. The implementation of VR rehabilitation systems may address these limitations, but the technology still needs to be improved and clinically validated. Furthermore, current applications generally lack flexibility and personalization. A VR rehabilitation game simulation is developed, which focuses on the upper-limb movement of reaching, an essential movement involved in numerous daily life activities. Its novelty consists in the integration of a machine learning algorithm, enabling highly adaptive and patient-customized therapeutic intervention. An immersive VR system for the rehabilitation of reaching movement using a bubble popping game is proposed. In the virtual space, the patient is presented with bubbles appearing at different locations and is asked to reach the bubble with the injured limb and pop it. The implementation of a Q-learning algorithm enables the game to adjust the location of the next bubble according to the performance of the patient, represented by his kinematic characteristics. Two test cases simulate the performance of the patient during a training program of 10 days/sessions, in order to validate the effectiveness of the algorithm, demonstrated by the spatial and temporal distribution of the bubbles in each evolving scenario. The results show that the algorithm learns the patient's capabilities and successfully adapts to them, following the reward policy dictated by the therapist; moreover, the algorithm is highly responsive to kinematic features' variation, while demanding a reasonable number of iterations. A novel approach for upper limb rehabilitation is presented, making use of immersive VR and reinforcement learning. The simulation suggests that the algorithm offers adaptive capabilities and high flexibility, needed in the comprehensive personalization of a rehabilitation process. Future work will demonstrate the concept in clinical trials.

Improving adherence to rehabilitation for heart failure patients through immersive virtual reality (VIRTUAL-HF): A protocol for a randomized controlled trial

BACKGROUND

To improve symptoms and reduce poor outcomes related to heart failure (HF), international guidelines recommend cardiac rehabilitation (CR), particularly for those with a reduced ejection fraction. Unfortunately, patient adherence to rehabilitation programs remains suboptimal, with dropouts ranging from 15.4 to 63.3%. An innovative and promising intervention that could improve adherence to rehabilitation is virtual reality (VR). This study aims to evaluate the effects of VR in patients with HF who undergo CR using this technology in terms of adherence (primary outcome), functional capacity, perceived exertion, angina, quality of life, heart rate, oxygen saturation, blood pressure, maximum oxygen uptake, minute ventilation/carbon dioxide production slope, oxygen pulse, blood values of NT-proBNP and HF related rehospitalization rates (secondary outcomes).

METHODS

A randomized controlled trial will be conducted in a sample of 80 patients referred to CR. Participants will be enrolled in a cardiological rehabilitation unit of a large university hospital in Italy and randomized (1:1) to the experimental intervention consisting of CR performed with high-quality immersive VR with PICO 4® Head Mounted Display headset and TREADMILL XR® software (Arm 1) or standard CR (Arm 2). Patients, according to guidelines, will perform 30-min of CR sessions with moderate intensity, twice a week for one month.

RESULTS

Significant improvements in primary and secondary outcomes are expected in patients in the intervention group.

CONCLUSIONS

If proven to be effective, VR could be an innovative, safe, and easy digital health intervention to improve adherence to CR in patients with HF, as well as important clinical outcomes.

Developing post-stroke psychometric properties for an Adherence to rehabilitation regimen scale: A sequential exploratory mixed-method study

INTRODUCTION

Adherence to rehabilitation in patients post-stroke plays a significant role in the effectiveness of rehabilitation and patient recovery. This study aimed to design and determine the psychometric properties of a scale for measuring adherence to the rehabilitation regimen in patients post-stroke in the Iranian community.

METHODS

The present study used a sequential exploratory mixed method and was conducted in two phases (phase one qualitative and phase two quantitative). Participants in the first phase were patients post-stroke, caregivers, and rehabilitation team members (n=20). The second phase was conducted on patients post-stroke (n=198), and the psychometric steps, including face, content, and construct validity, as well as reliability, were assessed.

RESULTS

The Adherence to Rehabilitation Regimen Scale (ARRS)was designed with 26 items and four factors of participation: 1) physical exercises, 2) following prescribed regimens, 3) performing the activities of daily living, and 4) psychological follow-up. The internal consistency was 0.96 by calculating Cronbach's alpha coefficient. The Interclass Correlation Coefficient was 0.99 with a confidence interval of 0.96-0.99.

CONCLUSION

The scale measuring adherence to the rehabilitation regimen in patients post-stroke has optimal psychometric properties. Therefore, as the first specific scale to measure the degree of rehabilitation regimen adherence in patients post-stroke, this tool may be beneficial for other rehabilitation programs interested in managing and improving program adherence.

Measurement, determinants, barriers, and interventions for exercise adherence: A scoping review

BACKGROUND

Adherence to exercise interventions is the cornerstone of a successful rehabilitation program. However, there is limited evidence on multifaceted components of exercise adherence. Therefore, we aimed to summarize the existing literature on measurement, determinants, barriers, theoretical frameworks, and evidence-based interventions that support exercise adherence.

METHODS

We conducted a scoping review based on the PRISMA extension for scoping reviews guidelines and searched the literature in PubMed, Cochrane Databases of Systematic Reviews, ScienceDirect, and Web of Science. Two reviewers independently screened articles. The included articles were subjected to data extraction and qualitative synthesis.

RESULTS

A total of 72 articles were included for this review. Data synthesis showed that there are no gold standard methods of measuring exercise adherence; however, questionnaires and daily logs are commonly used tools. The determinants of adherence are personal, disease-related, therapy-related, provider-related, and health system-related. The common barriers to adherence are the absence of a caregiver, low health literacy, poor communication by healthcare providers, cost, and lack of access to health facilities. Few evidence-based interventions used for supporting adherence are behavioral strategies, improving self-efficacy, motivational therapy, and mHealth or multimedia.

CONCLUSION

Non-adherence to exercises is a challenge for healthcare providers. There are no standard guidelines for the evaluation and management of non-adherence to exercises. Future studies should aim at developing objective measures of exercise adherence and investigate the long-term effects of adherence strategies in different disease populations. It is an under-researched area and requires multipronged strategies to improve adherence levels among patients.

Psychometric Properties of Persian Version of the Bakas Caregiving Outcomes Scale

Background

Caregivers of stroke patients have many problems due to caring for patients. This study aimed to evaluate the psychometric properties of the Persian Version of the Bakas Caregiving Outcomes Scale (BCOS) in caregivers of stroke patients.

Materials and Methods

This methodological study was conducted in 2018 with 191 caregivers of stroke patients. In order to assess the scale validity and reliability, the face, content, internal consistency, stability of the scale, and construct validity (exploratory and confirmatory factor analysis) were done.

Results

The scale face and content validity qualitatively were checked and confirmed by caregivers' and experts' opinions. In the reliability, Cronbach's alpha was obtained to be 0.93. The test-retest was conducted on 30 participants and showed good stability after 2 weeks. The Intraclass Correlation Coefficient (ICC) for the total scores was reported to be 0.94. The Kaiser-Meyer-Olkin p value was 0.90, Bartlett's sphericity test was significant (p < 0.001), in the exploratory factor analysis, 2 factors with 14 items were extracted. The confirmatory factor analysis confirmed the appropriate model with 14 items (removal of item 13) with two factors at the expected level.

Conclusions

The Persian version of the 14 items of the BCOS indicates satisfactory reliability, and validity in the Iranian caregivers of stroke patients.

Adherence to home exercises and rehabilitation (ADHERE) after stroke in low-to-middle-income countries: A randomized controlled trial

Background: Adherence to prescribed exercises is essential for home-based programs to be effective, but evidence for strategies to enhance exercise adherence in people with stroke is lacking.Objectives: To determine the effect of adherence strategies on the proportion of people with stroke who adhere to prescribed home-based exercises and their level of adherence at 6 and 12 weeks of intervention. Our secondary objective was to determine the effect of the combined intervention on mobility and quality of life post-stroke.Methods: We conducted an RCT among people with stroke (Exp = 27, Con = 25) living in semi-urban India. Both groups received standard hospital care and a home exercise program. The experimental group also received adherence strategies delivered over five sessions. Adherence was measured using the Stroke-Specific Measure of Adherence to Home-based Exercises (SS-MAHE) , mobility using Mobility Disability Scale, and quality of life using the Stroke Impact Scale.Results: The experimental group had better exercise adherence compared to the control group both at six (mean difference [MD] 45, 95% CI 40, 64, p < .001) and 12 weeks (MD 51, 95% CI 39, 63, p < .001). The experimental group also had better mobility at 12 weeks (median (IQR), experimental 42 (57), median (IQR), control 95 (50), p = .002). There was no difference in the quality of life scores between groups at six or 12 weeks.Conclusion: The adherence strategies were effective in improving exercise adherence and mobility post-stroke but did not improve quality of life.Trial registration: CTRI/2018/08/015212.

YouTube as a Source of Information for Transcranial Magnetic Stimulation in Stroke: A Quality, Reliability and Accuracy Analysis

BACKGROUND AND OBJECTIVES

Studies using YouTube data for various diseases are rapidly increasing. This study aimed to investigate the educational quality, reliability and accuracy of the YouTube videos concerning repetitive transcranial magnetic stimulation (rTMS) applications in patients with stroke.

METHODS

This is a descriptive study. A video based search on YouTube was performed on April 18th, 2020 by using keyword 'stroke repetitive transcranial magnetic stimulation'. The videos were queried using the default settings on YouTube and the results were listed according to relevance. Video parameters and sources were recorded. Quality, reliability and accuracy of the videos were determined with Global Quality Score (GQS), Journal of American Medical Association (JAMA) Benchmark Criteria and Modified DISCERN Questionnaire, respectively.

RESULTS

A total of 21 videos were included in the study. The median number of views for videos was 884 (range: 89-28589) and the median duration was 135 seconds. None of the videos had a negative interaction index. The median value was found to be 3 for all three measurements (GQS, JAMA, and DISCERN). Most of the videos were of intermediate quality (47.6%) and had partial sufficient data (61.9%). In the high-quality group, the number of views, dislikes, the duration of the videos, JAMA and DISCERN scores were higher than the low-quality group (p < 0.05). At the same time, viewing rates of the high-quality group were better than the low and the intermediate-quality group (p < 0.05). There was a significant positive correlation between GQS and number of the views, video duration, number of likes, number of dislikes, viewing rate and modified DISCERN questionnaire scores (p < 0.05).

CONCLUSION

Our results showed that most of the rated videos were of intermediate quality and had partially sufficient data. It has also been found that high-quality videos have higher viewing rates, more dislikes, longer video durations as well as better reliability and accuracy scores. YouTube videos of higher quality and accuracy are needed to increase awareness of rTMS by stroke patients.