Mobile tablet-based therapies following stroke: A systematic scoping review of administrative methods and patient experiences

Experiences of Older Adults with Mild Cognitive Impairment from Cognitive Self-Training Using Touchscreen Tablets

Background: "Tablet Enhancement of Cognition and Health" (TECH) is a cognitive intervention that includes two components: 5 weeks of daily self-training using puzzle-game apps on a touch screen tablet and weekly group sessions. This study aimed to (i) explore experiences of older adults with mild cognitive impairment (MCI) following their participation in TECH, (ii) identify hindering and enabling factors to self-training, and (iii) describe participants' perceived and objective cognitive changes and examine factors associated with their satisfaction from TECH. Materials and Methods: We used quantitative and qualitative measures; a phenomenological qualitative design using focus groups and interviews of 14 older adults with MCI and a focus group of the TECH facilitators. Satisfaction with TECH, self-training time, and perceived and objective cognitive changes (using the Montreal Cognitive Assessment) were evaluated. Results: Qualitative data were classified into three categories: Memory problems, Hindering and enabling factors to self-training, and Meaningful group sessions. The TECH facilitators reported positive changes, less cognitive complaints, and commitment and satisfaction of the participants. Participants reported overall satisfaction from TECH and performed a median interquartile range of 22.6 (19.9-42.8) self-training hours. Higher satisfaction was correlated with a higher objective cognitive change (r = 0.95, P < 0.01) and less training time (r = -0.91, P < 0.01). Discussion and Conclusions: Participants in the current study actively engaged in daily self-training using touch screen-tablet-puzzle-game and functional apps, driven by both internal and external motivators. Despite the lack of cognitive improvement, they expressed satisfaction with their participation in TECH. Therefore, encouraging older adults to engage in meaningful cognitive stimulating activities is recommended.

What are the available online resources targeting psychosocial burden among stroke survivors and their informal caregivers: A scoping review

Background

After discharge home, stroke survivors and their informal caregivers face a significant lack of support and information which accentuates their psychosocial burden. Online resources might provide this support and address psychosocial needs, but existing online stroke programmes mainly target functional rehabilitation. We aimed to map the existing literature on online resources that have been evaluated in stroke rehabilitation and aimed at reducing psychosocial impact in stroke survivors and informal caregivers.

Methods

MEDLINE was searched (2010-2024) to identify studies investigating online resources targeting psychosocial health. Studies were selected and extracted independently by two reviewers. We described the content, use, and psychosocial impact of these interventions using a narrative approach.

Results

Eleven studies were included in the review, reporting 10 online resources (two studies relating to the same resource). Online resources were heterogeneous: eight information/resources websites, one mobile app, and one forum. Five online resources were dedicated to stroke survivors, four to stroke survivors and their informal caregivers, and one to informal caregivers. Two randomized controlled trials reported a significant decrease in depressive symptoms associated with the use of online resources. Stroke survivors and informal caregivers find online resources useful and acceptable to address their psychosocial needs.

Conclusions

Few online stroke resources have been designed and evaluated to support post-stroke psychosocial rehabilitation. Further larger-scale research needs to study the impact of these interventions on psychosocial recovery over time.

Mobile Technology-Based Interventions for Stroke Self-Management Support: Scoping Review

BACKGROUND

There is growing interest in enhancing stroke self-management support using mobile health (mHealth) technology (eg, smartphones and apps). Despite this growing interest, "self-management support" is inconsistently defined and applied in the poststroke mHealth intervention literature, which limits efforts to synthesize and compare evidence. To address this gap in conceptual clarity, a scoping review was conducted.

OBJECTIVE

The objectives were to (1) identify and describe the types of poststroke mHealth interventions evaluated using a randomized controlled trial design, (2) determine whether (and how) such interventions align with well-accepted conceptualizations of self-management support (the theory by Lorig and Holman and the Practical Reviews in Self-Management Support [PRISMS] taxonomy by Pearce and colleagues), and (3) identify the mHealth functions that facilitate self-management.

METHODS

A scoping review was conducted according to the methodology by Arksey and O'Malley and Levac et al. In total, 7 databases were searched. Article screening and data extraction were performed by 2 reviewers. The data were analyzed using descriptive statistics and content analysis.

RESULTS

A total of 29 studies (26 interventions) were included. The interventions addressed 7 focal areas (physical exercise, risk factor management, linguistic exercise, activities of daily living training, medication adherence, stroke education, and weight management), 5 types of mobile devices (mobile phones or smartphones, tablets, wearable sensors, wireless monitoring devices, and laptops), and 7 mHealth functions (educating, communicating, goal setting, monitoring, providing feedback, reminding, and motivating). Collectively, the interventions aligned well with the concept of self-management support. However, on an individual basis (per intervention), the alignment was less strong.

CONCLUSIONS

On the basis of the results, it is recommended that future research on poststroke mHealth interventions be more theoretically driven, more multidisciplinary, and larger in scale.

Mobile health applications for improving physical function, physical activity, and quality of life in stroke survivors: a systematic review

PURPOSE

To evaluate the effectiveness of mobile health applications (mHealth apps) containing a physical training component on physical function and physical activity in stroke rehabilitation.

MATERIALS AND METHODS

A systematic literature search was conducted in three databases for studies published from inception to 12 July 2022. Clinical trials including mHealth apps with a physical training component were included using outcomes of physical function and physical activity. Quality of life was extracted as a secondary outcome.

RESULTS

Five RCTs, two non-RCTs, and four uncontrolled clinical trials were included with a total of 264 stroke survivors. Eleven apps were identified with a physical training component using features of gamification (six apps), exercise prescription (three apps), and physical activity (two apps). Six out of seven studies reported statistically significant improvements in physical function in favor of the experimental group, with the most robust findings for upper extremity function. For physical activity, statistically significant improvements were seen in the experimental groups. Only one study showed significant improvement in quality of life. Overall study quality was fair.

CONCLUSIONS

mHealth apps containing a physical training component are promising for physical function and physical activity in stroke rehabilitation. Further research is warranted to confirm these conclusions.Implications for rehabilitationDesign content of mobile apps with a physical training component were focused on gamification, exercise prescription, and physical activityUsing mobile app-delivered therapy seem promising for improving upper extremity function in stroke rehabilitationUsing mobile apps also supported an increase of physical activity in people with strokeStudies using mobile apps should report more specifically the dosage of physical training and adherenceUsing mobile apps seems promising as an additional tool for clinical work, however, more studies are required to understand their effectiveness in stroke rehabilitation.

Understanding Characteristics of User Adherence to Optimize the Use of Home Hand Rehabilitation Technology

Home-based rehabilitation can serve as an adjunct to in-clinic rehabilitation, encouraging users to engage in more practice. However, conventional home-based rehabilitation programs suffer from low adherence and high drop-out rates. Wearable movement sensors coupled with computer games can be more engaging, but have highly variable adherence rates. Here we examined characteristics of user adherence by analyzing unsupervised, wearable grip sensor-based home-hand rehabilitation data from 1,587 users. We defined three different classes of users based on activity level: low users (<2 days), medium users (2 - 9 days), and power users (> 9 days). The probability of using the device more than two days was positively correlated with first day game success (p = 0.91, p<. 001), and number of sessions played on the first day (p = 0.87, p<. 001) but negatively correlated with parameter exploration (total number of game adjustments / total number of sessions played) on the first day (p = - 0.31, p= 0.05). Compared to low users, power users on the first day had more game success (65.18 ± 25.76 %vs. 54.94 ± 30.31 %,p <. 001), parameter exploration (25.47 ± 22.78 % vs. 12.05 ± 20.56 %, p <. 001), and game sessions played (7.60 ± 6.59 sessions vs. 4.04 ± 3.56 sessions, p <. 001). These observations support the premise that initial game success which is modulated by strategically adjusting parameters when necessary is a key determinant of adherence to rehabilitation technology.

Technologies in Home-Based Digital Rehabilitation: Scoping Review

BACKGROUND

Due to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care professionals during rehabilitation. Digital rehabilitation (DR) could support home-based rehabilitation. To develop and implement DR solutions that meet clients' needs and ease the growing pressure on the health care system, it is necessary to provide an overview of existing, relevant, and future solutions shaping the constantly evolving market of technologies for home-based DR.

OBJECTIVE

In this scoping review, we aimed to identify digital technologies for home-based DR, predict new or emerging DR trends, and report on the influences of the COVID-19 pandemic on DR.

METHODS

The scoping review followed the framework of Arksey and O'Malley, with improvements made by Levac et al. A literature search was performed in PubMed, Embase, CINAHL, PsycINFO, and the Cochrane Library. The search spanned January 2015 to January 2022. A bibliometric analysis was performed to provide an overview of the included references, and a co-occurrence analysis identified the technologies for home-based DR. A full-text analysis of all included reviews filtered the trends for home-based DR. A gray literature search supplemented the results of the review analysis and revealed the influences of the COVID-19 pandemic on the development of DR.

RESULTS

A total of 2437 records were included in the bibliometric analysis and 95 in the full-text analysis, and 40 records were included as a result of the gray literature search. Sensors, robotic devices, gamification, virtual and augmented reality, and digital and mobile apps are already used in home-based DR; however, artificial intelligence and machine learning, exoskeletons, and digital and mobile apps represent new and emerging trends. Advantages and disadvantages were displayed for all technologies. The COVID-19 pandemic has led to an increased use of digital technologies as remote approaches but has not led to the development of new technologies.

CONCLUSIONS

Multiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients' needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic.

Handheld Computer Devices to Support Clinical Decision-making in Acute Nursing Practice: Systematic Scoping Review

BACKGROUND

Nursing care is increasingly supported by computerized information systems and decision support aids. Since the advent of handheld computer devices (HCDs), there has been limited exploration of their use in nursing practice.

OBJECTIVE

The study aimed to understand the professional and clinical impacts of the use of mobile health apps in nursing to assist clinical decision-making in acute care settings. The study also aimed to explore the scope of published research and identify key nomenclature with respect to research in this emerging field within nursing practice.

METHODS

This scoping review involved a tripartite search of electronic databases (CINAHL, Embase, MEDLINE, and Google Scholar) using preliminary, broad, and comprehensive search terms. The included studies were hand searched for additional citations. Two researchers independently screened the studies for inclusion and appraised quality using structured critical appraisal tools.

RESULTS

Of the 2309 unique studies screened, 28 (1.21%) were included in the final analyses: randomized controlled trials (n=3, 11%) and quasi-experimental (n=9, 32%), observational (n=10, 36%), mixed methods (n=2, 7%), qualitative descriptive (n=2, 7%), and diagnostic accuracy (n=2, 7%) studies. Studies investigated the impact of HCDs on nursing decisions (n=12, 43%); the effectiveness, safety, and quality of care (n=9, 32%); and HCD usability, uptake, and acceptance (n=14, 50%) and were judged to contain moderate-to-high risk of bias. The terminology used to describe HCDs was heterogenous across studies, comprising 24 unique descriptors and 17 individual concepts that reflected 3 discrete technology platforms ("PDA technology," "Smartphone/tablet technology," and "Health care-specific technology"). Study findings varied, as did the range of decision-making modalities targeted by HCD interventions. Interventions varied according to the level of clinician versus algorithmic judgment: unstructured clinical judgment, structured clinical judgment, and computerized algorithmic judgment.

CONCLUSIONS

The extant literature is varied but suggests that HCDs can be used effectively to support aspects of acute nursing care. However, there is a dearth of high-level evidence regarding this phenomenon and studies exploring the degree to which HCD implementation may affect acute nursing care delivery workflow. Additional targeted research using rigorous experimental designs is needed in this emerging field to determine the true potential of HCDs in optimizing acute nursing care.

Telerehab at Home: Mobile Tablet Technology for Patients With Poststroke Communication Deficits-A Pilot Feasibility Randomized Control Trial

PURPOSE

Poststroke communication deficits (PSCD) are common following stroke. Early and intensive speech and language therapy is recommended to maximize outcomes. We wanted to test the feasibility of providing telerehabilitation for patients with PSCD using mobile tablet-based technology to bridge the gap between acute stroke care and outpatient speech-language therapy (SLT) services.

METHOD

This was a prospective, randomized, open-label, blinded end-point design. Patients were randomized to either the treatment arm (mobile tablet) or the control arm (standard of care). The study duration was either 8 weeks or when the patient was called to start outpatient SLT services, whichever occurred first. The primary outcome was feasibility, while secondary objective was to assess patient engagement and to explore improvement in communication ability.

RESULTS

We had a 38% recruitment rate, with a 100% retention rate for the treatment arm and a 50% retention rate for the control arm. Fifty percent of patients in the treatment arm adhered to the recommended 1 hr per day, whereas none of the control arm did. Patients were engaged in using the mobile tablet and feedback on the protocol was positive.

CONCLUSIONS

SLT using telerehabilitation via mobile technology is feasible in the very early stages of acute stroke recovery. It is potentially an effective means of bridging the gap between discharge from the acute care setting to the start of outpatient SLT services. Our study supported proceeding to a clinical trial to assess efficacy of the intervention.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.21844569.

Technology-Dependent Rehabilitation Involving Action Observation and Movement Imagery for Adults with Stroke: Can It Work? Feasibility of Self-Led Therapy for Upper Limb Rehabilitation after Stroke

BACKGROUND

Motor (re)learning via technology-dependent therapy has the potential to complement traditional therapies available to older adults living with stroke after hospital discharge and increase therapy dose. To date, little is known about the feasibility of technology-dependent therapy in a home setting for this population.

OBJECTIVE

To develop a technology-dependent therapy that provides mental and physical training for older adults with stroke and assess feasibility. Specifically we ask, "Can it work"?

DESIGN

Single group repeated measures.

METHODS

13 participants, aged 18 years and over, were recruited over a six-month period. All participants had mild upper limb impairment following a stoke and were no longer receiving intensive rehabilitation. All participants received 18 days of technology-dependent therapy in their own home. Information was gathered on recruitment and retention, usability, and suitability of outcome measures.

RESULTS

11 participants completed the study. The recruitment rate (number recruited/number canvassed; 10.7%) suggests 1907 participants would need to be canvassed to recruit the necessary sample size (n = 204) for a definitive trial designed to provide 90% power at 5% level of significance to detect a clinically meaningful difference of 5.7 points on the Action Research Arm Test. The usability of the application was rated as exceptional on the System Usability Scale. Effectiveness cannot be determined from this study; however, there was a trend for improvement in measures of upper limb function and emotional well-being. Limitations. The study was limited by a relatively small sample size and lack of control group.

CONCLUSIONS

This study demonstrated proof of concept of a technology-dependent therapy for upper limb rehabilitation following stroke. The data suggest a definitive trial is feasible, additional strategies to improve recruitment should be considered. Outcome measures aligned with the residual motor function of participants are required.

Current clinical practice in managing somatosensory impairments and the use of technology in stroke rehabilitation

Stroke-induced somatosensory impairments seem to be clinically overlooked, despite their prevalence and influence on motor recovery post-stroke. Interest in technology has been gaining traction over the past few decades as a promising method to facilitate stroke rehabilitation. This questionnaire-based cross-sectional study aimed to identify current clinical practice and perspectives on the management of somatosensory impairments post-stroke and the use of technology in assessing outcome measures and providing intervention. Participants were 132 physiotherapists and occupational therapists currently working with stroke patients in public hospitals and rehabilitation centres in Singapore. It was found that the majority (64.4%) of the therapists spent no more than half of the time per week on somatosensory interventions. Functional or task-specific training was the primary form of intervention applied to retrain somatosensory functions in stroke survivors. Standardised assessments (43.2%) were used less frequently than non-standardised assessments (97.7%) in clinical practice, with the sensory subscale of the Fugl-Meyer Assessment being the most popular outcome measure, followed by the Nottingham Sensory Assessment. While the adoption of technology for assessment was relatively scarce, most therapists (87.1%) reported that they have integrated technology into intervention. There was a common agreement that proprioception is an essential component in stroke rehabilitation, and that robotic technology combined with conventional therapy is effective in enhancing stroke rehabilitation, particularly for retraining proprioception. Most therapists identified price, technology usability, and lack of available space as some of the biggest barriers to integrating robotic technology in stroke rehabilitation. Standardised assessments and interventions targeting somatosensory functions should be more clearly delineated in clinical guidelines. Although therapists were positive about technology-based rehabilitation, obstacles that make technology integration challenging ought to be addressed.

Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Optimal Challenge and Steady Engagement

Persevering with home rehabilitation exercise is a struggle for millions of people in the US each year. A key factor that may influence motivation to engage with rehabilitation exercise is the challenge level of the assigned exercises, but this hypothesis is currently supported only by subjective, self-report. Here, we studied the relationship between challenge level and perseverance using long-term, self-determined exercise patterns of a large number of individuals (N = 2,581) engaging in home rehabilitation with a sensor-based exercise system without formal supervision. FitMi is comprised of two puck-like sensors and a library of 40 gamified exercises for the hands, arms, trunk, and legs that are designed for people recovering from a stroke. We found that individuals showed the greatest perseverance with the system over a 2-month period if they had (1) a moderate level of motor impairment and (2) high but not perfect success during the 1st week at completing the exercise game. Further, a steady usage pattern (vs. accelerating or decelerating use) was associated with more overall exercise, and declines in exercise amount over time were associated with exponentially declining session initiation probability rather than decreasing amounts of exercise once a session was initiated. These findings confirm that an optimized challenge level and regular initiation of exercise sessions predict achievement of a greater amount of overall rehabilitation exercise in a group of users of commercial home rehabilitation technology and suggest how home rehabilitation programs and exercise technologies can be optimized to promote perseverance.

Sensing System for Plegic or Paretic Hands Self-Training Motivation

Patients after stroke with paretic or plegic hands require frequent exercises to promote neuroplasticity and to improve hand joint mobilization. Available devices for hand exercising are intended for persons with some level of hand control or provide continuous passive motion with limited patient involvement. Patients can benefit from self-exercising where they use the other hand to exercise the plegic or paretic one. However, post-stroke neuropsychological complications, apathy, and cognitive impairments such as forgetfulness make regular self-exercising difficult. This paper describes Przypominajka v2-a system intended to support self-exercising, remind about it, and motivate patients. We propose a glove-based device with an on-device machine-learning-based exercise scoring, a tablet-based interface, and a web-based application for therapists. The feasibility of on-device inference and the accuracy of correct exercise classification was evaluated on four healthy participants. Whole system use was described in a case study with a patient with a paretic hand. The anomaly classification has an accuracy of 91.3% and f1 value of 91.6% but achieves poorer results for new users (78% and 81%). The case study showed that patients had a positive reaction to exercising with Przypominajka, but there were issues relating to sensor glove: ease of putting on and clarity of instructions. The paper presents a new way in which sensor systems can support the rehabilitation of after-stroke patients with an on-device machine-learning-based classification that can accurately score and contribute to patient motivation.

Mobile Health Application to Support Family Caregivers in Recurrent Stroke Prevention: Scoping Review

BACKGROUND OF THE STUDY: Caregivers play a vital role in continuum care for stroke patients. Involvement of caregivers in stroke care was important. With the advancement of information technology and the rapid growth worldwide in cell-phone use and internet connectivity, additional evidence may be needed in the use of mobile applications to support caregivers in stroke care. AIM OF THE STUDY: The aims of this review was to identify existing mobile application designed to support family caregivers of people with stroke disease. METHODOLOGY: A scoping review study framework was carried out in this study, using the EBSCO, Cochrane, PubMed, ProQuest, and Science Direct databases using search keywords: ‘family caregiver’, ‘mobile health application’,  and ‘recurrent stroke or secondary stroke prevention’. This review examined studies published between January 2011 and December 2020. Of a total of 728 papers found, 9 journals were selected. RESULTS: The results founded three categories and their attendant sub-categories. The categories was caregivers support, involvement caregivers in stroke care, and barriers. The majority of mobile application was used to provide video education for caregivers. Caregivers involved in stroke care including emotional care, nutrition, exercise, and recurrent stroke prevention. Poor connection was the most barrier in using mobile application. CONCLUSION: Mobile application can support caregivers in stroke care. Healthcare providers are expected to utilize mobile applications in helping caregivers in post-stroke care.

Experiences and needs of the caregivers of stroke survivors in Malaysia-A phenomenological exploration

Introduction

Informal caregivers play a crucial role in supporting the activities of daily living, rehabilitation, and the road to recovery for stroke survivors. However, these informal caregivers are often reported as experiencing neglect and lack of recognition despite their primary contribution to stroke recovery. This study investigated the experiences of the caregivers of stroke survivors and access to stroke care in Malaysia.

Method

This qualitative study with a phenomenological approach utilized in-depth interviews, including ten primary caregivers, one formal caregiver, and stroke healthcare providers as the participants. The interviews were done until the data saturation was achieved, and the data was analyzed using thematic analysis.

Result

Three primary themes and 14 subthemes were identified from the interviews. The role of primary caregivers of stroke survivors had tremendous physical, mental and social impact on the caregivers. Caregivers had two primary needs. The need for information about comprehensive stroke care at home and the need for psychological support to themselves. The key internal driver for providing care was identified to be the motivation level of the stroke survivor and the external driver was identified to be the societal support with access to comprehensive stroke care.

Conclusion

The role of informal caregivers becomes critical for continuum of stroke care. As caregivers take up the roles and responsibilities of those who contribute to stroke rehabilitation single-handedly soon after hospital discharge. Results of this study highlights the needs for providing systematic support to caregivers for engaging them in effective stroke care, particularly in the community. Stroke service providers, policy makers and program planners must be sensitized to empower caregivers of stroke survivors in effectively supporting stroke survivor in their family on the road of recovery.

Internet Access and Usage Among Stroke Survivors and Their Informal Caregivers: Cross-sectional Study

Background

Web-based interventions have shown promise for chronic disease management but have not been widely applied to populations with stroke. Existing barriers may inhibit the adoption of web-based interventions among stroke survivors and necessitate the involvement of informal caregivers. However, limited information is available on internet accessibility and usability among stroke survivors and their caregivers.

Objective

This study aims to investigate internet access and usage in a cohort of stroke survivors and their caregivers.

Methods

A cross-sectional survey was conducted with 375 participants (248 stroke survivors and 127 caregivers). Descriptive statistics were generated using cross-tabulation. Comparisons with categorical data were conducted using the chi-square test, whereas the Mann-Whitney U test was used for comparisons involving ordinal variables.

Results

Overall, 86.1% (323/375) of the participants reported having internet access. Caregivers were more likely than stroke survivors to access the internet (N=375, χ²₁=18.5, P<.001) and used text messaging (n=321, χ²₁=14.7, P<.001). Stroke survivors and caregivers with internet access were younger than stroke survivors and caregivers without internet access. The highest number of participants who reported internet access were non-Hispanic White. Smartphones were the most common devices used to access the internet. Email was the most common type of internet usage reported. Patients who survived for >12 months after a stroke reported higher internet access than those who survived <3 months (P<.001). The number of hours per week spent using the internet was higher for caregivers than for stroke survivors (P<.001).

Conclusions

Future feasibility and acceptability studies should consider the role of the informal caregiver, participant age, race and ethnicity, the use of smartphone apps, email and text correspondence, and the amount of time elapsed since the stroke event in the design and implementation of web-based interventions for populations with stroke.

The feasibility, usability and acceptability of a tablet-based aphasia therapy in the acute phase following stroke

QUESTION

Independent practice via an application with a language exercise program for aphasia, as an add-on to conventional care can be a good solution to intensify aphasia therapy. The aim of this prospective trial was to investigate the feasibility, usability and acceptability of the newly-developed aphasia exercise program in the 'Speech Therapy App (STAPP)' in the acute phase post-stroke.

METHODS

All eligible people with aphasia following stroke (<2 weeks post-stroke) admitted to the Stroke Unit of Ghent University Hospital were recruited in this prospective clinical trial between September 2018 and December 2019. After linguistic assessments and two short training sessions, participants were asked to practice independently with 'STAPP' for at least 30 min/day during hospitalization. Exercises were individually tailored and adjusted if necessary. Outcome was measured by recruitment, adherence and retention rates, usability questionnaires and a visual analogue scale for satisfaction.

RESULTS

Twenty-five (mean age 65 years (SD = 17), 14 females) of 31 eligible people with aphasia were enrolled in this trial (recruitment rate = 81 %). All participants but one (23/24) practiced with the language app until the end of hospitalization (retention rate = 96 %). Ten participants practiced at least 30 min/day (adherence rate = 42 %). Participants reported they learned to work quickly with the app (92 %; agreed/totally agreed), the app was easy to use (88 %), they could work independently (79 %), practiced their language (67 %) and wanted to continue working with the app at home (79 %). Acceptability was high (median satisfaction rate 91 %; IQR = 75-100).

CONCLUSION

The aphasia exercise program in 'STAPP' is feasible to use as an additional rehabilitation tool along with standard of care in the acute phase post-stroke. Further research is needed to assess the efficacy. CLINICAL TRIAL REGISTRATION-URL: https://clinicaltrials.gov/ct2/show/NCT03679637.

Physiotherapists' and occupational therapists' perspectives on information and communication technology in stroke rehabilitation

Aim

The aim of this study was to explore the current and potential use of information and communication technology (ICT) to enhance coherent person-centred rehabilitation after stroke, from the perspectives of physiotherapists and occupational therapists.

Method

Five occupational therapists and four physiotherapists from different phases of the Danish stroke rehabilitation process were included and two focus group interviews were carried out. A grounded theory approach was used throughout the study and a constant comparative method was used in the analysis.

Results

Three subcategories were identified from the analysis of interviews with participants: 1) ICT and apps as meaningful and supportive in the rehabilitation process, 2) ICT as a tool in communication and documentation and 3) Barriers to the integration of ICT and apps in the rehabilitation process. From these categories one core category emerged: The potential of a personalized app solution to facilitate coherent person-centred rehabilitation.

Conclusion

ICT was perceived as important to integrate in stroke rehabilitation both for assessment, training and to compensate for remaining deficits. The development of a personalized app solution could accommodate stroke survivors’ and significant others’ need for insight into and overview over the rehabilitation process as well as access to relevant information, which would thereby empower them. Furthermore, a personalized app solution could also facilitate follow-up after discharge and was perceived to ease the communication and documentation within and between sectors, as well as communication with both stroke survivors and significant others.

An iPad application-based intervention for improving post-stroke depression symptoms in a convalescent rehabilitation ward: A pilot randomized controlled clinical trial protocol

BACKGROUND

Post-stroke depression (PSD) is a neuropsychiatric sequela that causes serious adverse effects on the prognosis of stroke patients. Our developed iPad application is a very innovative approach designed to improve participants' depressive symptoms by presenting positive words stimuli in a video. Although this application has fewer side effects than existing pharmacological and non-pharmacological interventions and is likely less burdensome for patients and caregivers, its efficacy for PSD has not been investigated. Here we present a pilot randomized controlled trial (RCT) protocol to investigate the therapeutic potential of this application intervention for PSD patients.

METHODS

This study is designed as a 5-week, single-center, open-label, parallel-group, pilot RCT. Thirty-two patients with PSD will be randomly assigned to a combination of the iPad application and usual rehabilitation or usual rehabilitation alone (1:1 allocation ratio). The iPad application intervention lasts 3 min a day, and the usual rehabilitation lasts 3 h a day. The primary outcome is the change from baseline in The Center for Epidemiologic Studies Depression Scale score at the end of the 5-week intervention.

DISCUSSION

This pilot RCT is the first study to investigate the potential of iPad application interventions to reduce depressive symptoms in PSD patients. This pilot RCT determines whether this is a viable and effective intervention and informs the design for a full-scale trial. If our hypothesis is correct, this trial can provide evidence to augment the standard practice of iPad application interventions to improve depressive symptoms in patients with PSD.

Video-guided exercise after stroke: a feasibility randomised controlled trial

BACKGROUND

Facilitating self-directed upper-limb exercise in people after a stroke whilst not in therapy sessions may increase therapy intensity and improve outcomes. Objectives: To investigate the feasibility and acceptability of video-guided exercise for facilitating upper-limb exercise after stroke.

METHODS

A single-blind feasibility randomized controlled trial with embedded qualitative study in stroke wards at a large teaching hospital in the United Kingdom. Fourteen participants with stroke were randomized to either video-guided exercise intervention or a "treatment-as-usual" control group. Intervention participants received a computer tablet containing filmed individualized exercises to guide out of therapy practice. The primary outcome measure was the Motor status scale (MSS) for the upper limb, which was used to guide possible sample sizes for a future main trial. Qualitative focus group and interview data on feasibility/acceptability were collected and analyzed.

RESULTS

The intervention was acceptable, but the need for motivation/support to exercise was highlighted. Based on similar assumptions to the feasibility study, circa ninety-two patients in each group would be needed to detect a difference of 5 in upper-limb motor status for a main trial.

CONCLUSION

A trial of video-guided exercise is feasible, although an optimal main trial would require some relatively minor changes to design, outcome measures, eligibility, and the intervention.

Differences in factors influencing the use of eRehabilitation after stroke; a cross-sectional comparison between Brazilian and Dutch healthcare professionals

BACKGROUND

To improve the use of eRehabilitation after stroke, the identification of barriers and facilitators influencing this use in different healthcare contexts around the world is needed. Therefore, this study aims to investigate differences and similarities in factors influencing the use of eRehabilitation after stroke among Brazilian Healthcare Professionals (BHP) and Dutch Healthcare Professionals (DHP).

METHOD

A cross-sectional survey study including 88 statements about factors related to the use of eRehabilitation (4-point Likert scale; 1-4; unimportant-important/disagree-agree). The survey was conducted among BHP and DHP (physical therapists, rehabilitating physicians and psychologists). Descriptive statistics were used to analyse differences and similarities in factors influencing the use of eRehabilitation.

RESULTS

ninety-nine (response rate 30%) BHP and 105 (response rate 37%) DHP participated. Differences were found in the top-10 most influencing statements between BHP and DHP BHP rated the following factors as most important: sufficient support from the organisation (e.g. the rehabilitation centre) concerning resources and time, and potential benefits of the use of eRehabilitation for the patient. DHP rated the feasibility of the use of eRehabilitation for the patient (e.g. a helpdesk and good instructions) as most important for effective uptake. Top-10 least important statements were mostly similar; both BHP and DHP rated problems caused by stroke (e.g. aphasia or cognitive problems) or problems with resources (e.g. hardware and software) as least important for the uptake of eRehabilitation.

CONCLUSION

The results indicate that the use of eRehabilitation after stroke by BHP and DHP is influenced by different factors. A tailored implementation strategy for both countries needs to be developed.

Self-reported feedback in ICT-delivered aphasia rehabilitation: a literature review

PURPOSE

Information and Communication Technologies (ICT) can provide an option for the delivery of intensive aphasia rehabilitation but the users' views (i.e., People with Aphasia) must be considered to ensure satisfaction, motivation and adherence with this mode of rehabilitation. The aim of this literature review is to provide a critical overview of studies where feedback was elicited from participants about their experiences with ICT-delivered aphasia rehabilitation.

METHODS

A systematic search using six electronic databases was conducted in July 2015 and updated in May 2019. Studies of synchronous telerehabilitation and interventions targeting compensatory strategies were excluded from the review. Studies retrieved were screened for eligibility and information was extracted on the characteristics of each study, methods of data collection and study outcomes.

RESULTS

Seventeen studies met the inclusion criteria including studies with quantitative, qualitative and mixed-methods research designs. The studies employed a variety of data collection methods, examining a number of ICT-delivered aphasia rehabilitation activities and the findings investigated aspects of feasibility, usability and acceptance of this mode of rehabilitation.

CONCLUSIONS

The findings indicate ICT-delivered aphasia rehabilitation is considered an acceptable mode of rehabilitation by people with aphasia who reported generally positive feedback, though variation among personal perspectives and experience is noted. There is currently no consensus measure of self-reported feedback in ICT-delivered aphasia rehabilitation.IMPLICATIONS FOR REHABILITATIONICT-delivered aphasia rehabilitation may provide an acceptable mode of rehabilitation for people with aphasia.Exploring self-reported feedback from people with aphasia engaging in ICT-delivered aphasia rehabilitation will provide insights into their experiences of this mode of rehabilitation.This information may help to guide clinicians when collaboratively planning and monitoring ICT-delivered aphasia rehabilitation.Currently there is no consensus measure of self-reported feedback for people with aphasia engaging in ICT-delivered aphasia rehabilitation.

RecoverNow: A mobile tablet-based therapy platform for early stroke rehabilitation

Introduction

Stroke survivors frequently experience a range of post-stroke deficits. Specialized stroke rehabilitation improves recovery, especially if it is started early post-stroke. However, resource limitations often preclude early rehabilitation. Mobile technologies may provide a platform for stroke survivors to begin recovery when they might not be able to otherwise. The study objective was to demonstrate the feasibility of RecoverNow, a tablet-based stroke recovery platform aimed at delivering speech and cognitive therapy.

Methods

We recruited a convenience sample of 30 acute stroke patients to use RecoverNow for up to 3 months. Allied health professionals assigned specific applications based on standard of care assessments. Participants were encouraged to take home the RecoverNow tablets upon discharge from acute care. The study team contacted participants to return for a follow-up interview 3 months after enrollment. The primary outcome of interest was feasibility, defined using 5 facets: recruitment rate, adherence rate, retention rate, the proportion of successful follow-up interventions, and protocol deviations. We tracked barriers to tablet-based care as a secondary outcome.

Results

We successfully recruited 30 of 62 eligible patients in 15 weeks (48% recruitment rate). Participants were non-adherent to tablet-based therapy inside and outside of acute care, using RecoverNow for a median of 12 minutes a day. Retention was high with 23 of 30 patients participating in follow-up interviews (77% retention rate) and all but 3 of the 23 interviews (87%) were successfully completed. Only 2 major protocol deviations occurred: one enrollment failure and one therapy protocol violation. Barriers to tablet-based care were frequently encountered by study participants with many expressing the assigned applications were either too easy or too difficult.

Conclusions

Acute stroke patients are interested in attempting tablet-based stroke rehabilitation and are easily recruited early post-stroke. However, tablet-based therapy may be challenging due to patient, device and system-related barriers. Reducing the frequency of common barriers will be essential to keeping patients engaged in tablet-based therapy.

Functional measurement post-stroke via mobile application and body-worn sensor technology

BACKGROUND

Long-term management of individuals post-stroke is essential due to the resultant chronic disability and risk for recurrent stroke. Mobile health technology shows increasing promise to provide cost-effective monitoring and support systems for the patient, caregiver, and healthcare team. Ideally, such systems will include stroke management adherence support, mechanisms to link patients and caregivers to resources, and secure longitudinal data collection with archive that are employed to optimize recovery. However, healthcare providers and computer science application developers must first collaborate to identify meaningful measures and develop methods to reliably gather such data remotely via mobile systems.

METHODS

mStroke is a mobile health system composed of two sensors and a mobile application designed to support optimal recovery for stroke survivors. Using the World Health Organization's International Classification of Functioning, Disability and Health model (ICF model), the authors identified 4 measures that are commonly used in the clinic and developed the mobile application features to support remote data collection: National Institutes of Health Stroke Scale (NIHSS) items 5 and 6 (Motor Arm and Leg function), Functional Reach Test (FRT), and 10 Meter Walk Test (10MWT). At a local inpatient rehabilitation facility, each measure was executed with 35 stroke survivors through simultaneous scoring by the mStroke system and standardized clinical assessment. Correlation coefficients were calculated for clinician versus mStroke system scoring.

RESULTS

All four clinical measures significantly correlated with mStroke system app scoring: NIHSS Motor Arm-0.839, P<0.001; NIHSS Motor Leg-0.736, P<0.001; FRT-0.630, P<0.01; 10MWT-0.994, P<0.001.

CONCLUSIONS

Results should be approached with caution as significant data skew was present for NIHSS Motor Arm and Motor Leg tests and the FRT results are not strong enough for broad translation. However, positive findings were demonstrated that support further investment in development, refinement, and testing of mobile health systems to provide clinically meaningful remote measurement via mobile technology. The ICF model was a helpful framework for guiding clinician and application developer collaboration and identifying meaningful features for app development.

Why the uptake of eRehabilitation programs in stroke care is so difficult-a focus group study in the Netherlands

BACKGROUND

The uptake of eRehabilitation programs in stroke care is insufficient, despite the growing availability. The aim of this study was to explore which factors influence the uptake of eRehabilitation in stroke rehabilitation, among stroke patients, informal caregivers, and healthcare professionals.

METHODS

A qualitative focus group study with eight focus groups (6-8 participants per group) was conducted: six with stroke patients/informal caregivers and two with healthcare professionals involved in stroke rehabilitation (rehabilitation physicians, physical therapists, occupational therapists, psychologists, managers). Focus group interviews were audiotaped, transcribed in full, and analyzed by direct content analysis using the implementation model of Grol.

RESULTS

Thirty-two patients, 15 informal caregivers, and 13 healthcare professionals were included. A total of 14 influencing factors were found, grouped to 5 of the 6 levels of the implementation model of Grol (Innovation, Organizational context, Individual patient, Individual professional, and Economic and political context). Most quotes of patients, informal caregivers, and healthcare professionals were classified to factors at the level of the Innovation (e.g., content, attractiveness, and feasibility of eRehabilitation programs). In addition, for patients, relatively many quotes were classified to factors at the level of the individual patient (e.g., patients characteristics as fatigue and the inability to understand ICT-devices), and for healthcare professionals at the level of the organizational context (e.g., having sufficient time and the fit with existing processes of care).

CONCLUSION

Although there was a considerable overlap in reported factors between patients/informal caregivers and healthcare professionals when it concerns eRehabilitation as innovation, its seems that patients/informal caregivers give more emphasis to factors related to the individual patient, whereas healthcare professionals emphasize the importance of factors related to the organizational context. This difference should be considered when developing an implementation strategy for patients and healthcare professionals separately.