Available apps for stroke telerehabilitation during corona virus disease 2019 confinement in Spain

Older adult stroke survivors' needs and perspectives of a stroke app: a qualitative study

BACKGROUND

Stroke continues to be the second leading cause of death and a significant contributor to disability globally, with a more pronounced impact on older adults compared to other age groups. Along with evidence that mobile health (mHealth) apps have promising possibilities for supporting individuals pursuing health and wellness goals, the development of stroke apps is increasing. However, there remains a notable lack of research investigating the needs and perspectives of stroke survivors during the development of such apps.

OBJECTIVE

We aimed to describe the needs and perspectives of older adult stroke survivors regarding a stroke app.

METHODS

We employed an empirical phenomenological approach for a qualitative study. Using purposive and snowball sampling, older adult stroke survivors were recruited from three tertiary hospitals in Hunan province. Face-to-face semi-structured interviews were conducted between August and October 2024. Data were transcribed verbatim and analysed using Haase's adaptation of Colaizzi's phenomenological method.

FINDINGS

Thirteen older adult stroke survivors (eight men and five women aged 63-84 years) participated in the study in China. Three main categories and ten subcategories were extracted. The themes were the following: (1) optimism about the app (a good thing and eager to use); (2) desire for an app tailored to the unique (particular to older adults, information at fingertips, and reminding); and (3) concern (privacy issues, more depersonalized interactions with their doctors, the validity of the information provided on the app, cost, and having problems in using the app).

CONCLUSION

This study pinpointed crucial factors from users' needs and perspectives that should be considered in developing a mobile app for older adult stroke survivors. Future research on app development should gather users' needs and preferences to enhance acceptability and increase the likelihood of successful implementation.

The "FitBrain" program: implementing exergaming & dual-task exercise programs in outpatient clinical settings

Dual-task training and exergaming interventions are increasingly recognized for their potential to enhance cognitive, physical, and mood outcomes among older adults and individuals with neurological conditions. Despite this, clinical and community programs that use these interventions are limited in availability. This paper presents the "FitBrain" program, an outpatient clinical model that combines dual-task and exergaming interventions to promote cognitive and physical health. We review the scientific rationale supporting these methods, detail the structure and methodology of the FitBrain program, and provide examples of session designs that integrate dual-tasking through exergaming. The paper also addresses implementation considerations, such as tailoring interventions to specific populations, ensuring user-centered design, and leveraging accessible technologies. We discuss key challenges, including limited research on programs utilizing multiple technologies and cost constraints, and propose directions for future research to refine best practices and evaluate the comparative effectiveness of multimodal vs. singular interventions. This paper aims to inform clinicians and program developers on implementing dual-task and exergaming interventions within diverse clinical and community settings by offering a structured model and practical guidelines.

Mobile App Interventions for Parkinson's Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review

Central nervous system diseases (CNSDs) lead to significant disability worldwide. Mobile app interventions have recently shown the potential to facilitate monitoring and medical management of patients with CNSDs. In this direction, the characteristics of the mobile apps used in research studies and their level of clinical effectiveness need to be explored in order to advance the multidisciplinary research required in the field of mobile app interventions for CNSDs. A systematic review of mobile app interventions for three major CNSDs, i.e., Parkinson's disease (PD), multiple sclerosis (MS), and stroke, which impose significant burden on people and health care systems around the globe, is presented. A literature search in the bibliographic databases of PubMed and Scopus was performed. Identified studies were assessed in terms of quality, and synthesized according to target disease, mobile app characteristics, study design and outcomes. Overall, 21 studies were included in the review. A total of 3 studies targeted PD (14%), 4 studies targeted MS (19%), and 14 studies targeted stroke (67%). Most studies presented a weak-to-moderate methodological quality. Study samples were small, with 15 studies (71%) including less than 50 participants, and only 4 studies (19%) reporting a study duration of 6 months or more. The majority of the mobile apps focused on exercise and physical rehabilitation. In total, 16 studies (76%) reported positive outcomes related to physical activity and motor function, cognition, quality of life, and education, whereas 5 studies (24%) clearly reported no difference compared to usual care. Mobile app interventions are promising to improve outcomes concerning patient's physical activity, motor ability, cognition, quality of life and education for patients with PD, MS, and Stroke. However, rigorous studies are required to demonstrate robust evidence of their clinical effectiveness.

Visual Telerehabilitation with Visually Impaired Children: From the Pandemic Emergency to a Stand-Alone Method

In the last two years, orthoptists have counteracted patient drop-out through visual telerehabilitation. Efforts were made to transfer the in-person visual rehabilitation setting to the telematic environment in response to the worldwide crisis. Nowadays, statistical evidence on the effects of visual telerehabilitation is still scarce. The present research is the first, in Italy, to offer a pre-post assessment of the impact of visual telerehabilitation. Twenty-four (n = 24) children (64% male, 14% monocles) aged 4 to 15 years (mean age = 9.21 years, SD = 3.36, mean residual vision 1.3/10) were randomly assigned to three different group types for rehabilitation: a telematic rehabilitation group (n = 7), a mixed rehabilitation group (n = 8), and an in-person rehabilitation group (n = 9). Each group underwent a six-week visual rehabilitation. Ergo-perimetric evaluation before and after the rehabilitation was administered to the three groups. t-tests showed a significant improvement in ergo-perimetric outcomes in the visual telerehabilitation group (p < 0.05) and in the mixed rehabilitation group (p < 0.01), via a shortening of the response times. The findings suggest that visual telerehabilitation and mixed rehabilitation can lead to an ergo-perimetric improvement in visually impaired children within six weeks. Further research is needed, both to corroborate the findings with a larger sample size and to attain a follow-up measurement in order to clarify whether visual telerehabilitation could represent a stand-alone method.

mHealth technologies used to capture walking and arm use behavior in adult stroke survivors: a scoping review beyond measurement properties

PURPOSE

We aimed to provide a critical review of measurement properties of mHealth technologies used for stroke survivors to measure the amount and intensity of functional skills, and to identify facilitators and barriers toward adoption in research and clinical practice.

MATERIALS AND METHODS

Using Arksey and O'Malley's framework, two independent reviewers determined eligibility and performed data extraction. We conducted an online consultation survey exercise with 37 experts.

RESULTS

Sixty-four out of 1380 studies were included. A majority reported on lower limb behavior (n = 32), primarily step count (n = 21). Seventeen studies reported on arm-hand behaviors. Twenty-two studies reported metrics of intensity, 10 reported on energy expenditure. Reliability and validity were the most frequently reported properties, both for commercial and non-commercial devices. Facilitators and barriers included: resource costs, technical aspects, perceived usability, and ecological legitimacy. Two additional categories emerged from the survey: safety and knowledge, attitude, and clinical skill.

CONCLUSIONS

This provides an initial foundation for a field experiencing rapid growth, new opportunities and the promise that mHealth technologies affords for envisioning a better future for stroke survivors. We synthesized findings into a set of recommendations for clinicians and clinician-scientists about how best to choose mHealth technologies for one's individual objective.Implications for RehabilitationRehabilitation professionals are encouraged to consider the measurement properties of those technologies that are used to monitor functional locomotor and object-interaction skills in the stroke survivors they serve.Multi-modal knowledge translation strategies (research synthesis, educational courses or videos, mentorship from experts, etc.) are available to rehabilitation professionals to improve knowledge, attitude, and skills pertaining to mHealth technologies.Consider the selection of commercially available devices that are proven to be valid, reliable, accurate, and responsive to the targeted clinical population.Consider usability and privacy, confidentiality and safety when choosing a specific device or smartphone application.

Influence of Core-Stability Exercises Guided by a Telerehabilitation App on Trunk Performance, Balance and Gait Performance in Chronic Stroke Survivors: A Preliminary Randomized Controlled Trial

Stroke is one of the main causes of disability. Telerehabilitation could face the growing demand and a good strategy for post-stroke rehabilitation. The aim of this study is to examine the possible effects of therapeutic exercises performed by an App on trunk control, balance, and gait in stroke survivors. A preliminary 12-week randomized controlled trial was developed. Thirty chronic stroke survivors were randomly allocated into two groups. Both groups performed conventional physiotherapy, in addition to, the experimental group (EG) had access to a telerehabilitation App to guide home-based core-stability exercises (CSE). Trunk performance was measured with the Spanish-Trunk Impairment Scale (S-TIS 2.0) and Spanish-Function in Sitting Test. Balance and gait were measured with Spanish-Postural Assessment Scale for Stroke patient, Berg Balance Scale and an accelerometer system. In EG was observed an improvement of 2.76 points in S-TIS 2.0 (p = 0.001). Small differences were observed in balance and gait. Adherence to the use of the App was low. CSE guided by a telerehabilitation App, combined with conventional physiotherapy, seem to improve trunk function and sitting balance in chronic post-stroke. Active participation in the rehabilitation process should be increased among stroke survivors. Further confirmatory studies are necessary with a large sample size.

Emerging Concepts and Evidence in Telematics Novel Approaches or Treatments for Spasticity Management After Botulinum Injection

There is a strong recommendation for the use of intramuscular botulinum toxin in patients with persistent or progressive spasticity affecting one or more joints and who have an identifiable therapeutic target. After a botulinum toxin injection, a stretching intervention improves the results of the treatment, and it should be performed by patients and/or caregivers after being trained by a therapist. Adherence to this recommendation remains low once the therapist stops following the patient. The COVID-19 pandemic has increased the use of telemedicine with different approaches to treat patients. There has been an increased use of motivational applications, with virtual reality software and real-life videos, which provide a gaming experience that increases adherence. There are programs with synchronous telehealth exercises guided by physical therapists or software with sensor-based technology that shows the range of motion (ROM) and strength of the muscles of a particular joint. These new approaches to patient follow-up appear to increase adherence to exercise because they need to be “watched and controlled” is achieved.