Precision rehabilitation: optimizing function, adding value to health care

Paradoxes in pediatric rehabilitation: building an interdisciplinary, total-child framework to promote effective interventions and life course well-being

In this paper, we identify major paradoxes that have emerged from randomized controlled trials and longitudinal studies of diverse groups of young children with identified disabilities and risk conditions. We concentrate on the first three years of life because these coincide with a period of rapid changes in brain structure and function as well as dramatic expansion of a child's skills in motor, language, social-emotional, and cognitive domains. The paradoxes support a major revision in hypotheses about how effective interventions can alter a child's functioning and life course. The following conclusions derive from the paradoxes: (1) the intertwined biological and environmental influences on a child's well-being contribute more to functional outcomes than do the primary medical diagnoses and biological risks alone; (2) high-intensity, high-cost interventions that are well-timed, wholistic, and multi-domain can be more powerful and economical (i.e., yield higher "returns on investment") than many treatments that initially appear less costly and easier to implement; (3) treatments that are individualized to the child and family, while adhering to evidence-backed treatment protocols, are among the most likely to result in large and long-lasting benefits compared to those that are solely individualized or adherent to a treatment protocol that does not make adjustments for the child; and 4) a clearly presented conceptual theoretical framework about human development can be a remarkably practical and informative tool in maximizing benefits of pediatric rehabilitation. We propose an interdisciplinary "total-child" platform - named the Interdisciplinary Monitoring, Planning, and Caring for the Total-Child - Together (IMPACT2) Developmental Framework - to support forming strong partnerships to facilitate informed clinical and family decision-making as well as the design and conduct of scientific investigations. We encourage others to consider these paradoxes and the IMPACT2 framework to stimulate conversations and promote innovative family and community partnerships to realize greater impact from delivering effective pediatric rehabilitation interventions to all eligible children.

Stakeholder perspectives on an adult cerebral palsy community registry: A qualitative study

BACKGROUND

The Cerebral Palsy Research Network (CPRN) community registry has yielded valuable information about changes in function and pain in adults with cerebral palsy (CP) through a patient-reported outcomes registry. However, it requires increased enrollment and diversity of participants to produce more generalizable conclusions.

OBJECTIVE

To identify stakeholder perspectives about the barriers and facilitators to enrollment in the CPRN Community Registry, strategies to enhance recruitment efforts, and important questions for the registry.

METHODS

Qualitative descriptive study using iterative focus groups, followed by inductive thematic analysis. Participants included adults with CP and caregivers, clinical investigators, and community leaders in the CP and disability spaces. Focus groups explored perspectives about motivations for registry participation, barriers and facilitators to participation, and strategies for increasing and enhancing diversity of enrollment.

RESULTS

Four focus groups were conducted (20 participants with lived experience; 10 clinical investigators; 9 community leaders). All participants valued the information provided by the registry and felt that ongoing data collection was important. Barriers and related facilitators to participation include benefits of participation, awareness, accessibility, and collaboration with community and clinical partners. Adults with lived experience seek more precisely defined health and function outcomes for adults with CP.

CONCLUSIONS

Adults with lived experience, clinical investigators, and community leaders identified barriers and facilitators to participation in a patient-reported registry and important questions. This study revealed that communicating a direct benefit to the participant, improved visibility and accessibility, leveraging collaboration with clinical and community partners, and answering more precise research questions could promote enrollment.

AMPREDICT MoRe: Predicting Mortality and Re-amputation Risk after Dysvascular Amputation

OBJECTIVE

This study aimed to create a novel prediction model (AMPREDICT MoRe) that predicts death and re-amputation after dysvascular amputation, which overcomes prior implementation barriers by using only predictors that are readily available in the electronic health record (EHR).

METHODS

This was a retrospective cohort study of 9 221 patients with incident unilateral transmetatarsal, transtibial, or transfemoral amputation secondary to diabetes and or peripheral arterial disease identified in the Veterans Affairs Corporate Data Warehouse between 1 October 2015 and 30 September 2021. The prediction model evaluated factors falling into several key domains: prior revascularisation; amputation level; demographics; comorbidities; mental health; health behaviours; laboratory values; and medications. The primary outcome included four categories: (i) no death and no re-amputation (ND/NR); (ii) no death and re-amputation (ND/R); (iii) death and no re-amputation (D/NR); and (iv) death and re-amputation (D/R). Multinomial logistic regression was used to fit one year post-incident amputation risk prediction models. Variable selection was performed using LASSO (least absolute shrinkage and selection operator), a machine learning methodology. Model development was performed using a randomly selected 80% of the data, and the final model was externally validated using the remaining 20% of subjects.

RESULTS

The final prediction model included 23 predictors. The following outcome distribution was observed in the development sample: ND/NR, n = 4 254 (57.7%); ND/R, n = 1 690 (22.9%); D/NR, n = 1 056 (14.3%); and D/R, n = 376 (5.1%). The overall discrimination of the model was moderately strong (M index 0.70), but a deeper look at the c indices indicated that the model had better ability to predict death than re-amputation (ND/NR vs. ND/R, 0.64; ND/NR vs. D/NR, 0.78; grouped ND vs. D, 0.79 and NR vs. R, 0.67). The model was best at distinguishing individuals with no negative outcomes vs. both negative outcomes (ND/NR vs. D/R, 0.82).

CONCLUSION

The AMPREDICT MoRe model has been successfully developed and validated, and can be applied at the time of amputation level decision making. Since all predictors are available in the EHR, a future decision support tool will not require patient interview.

Sitting Together and Reaching to Play Physical Therapy Affects Dyadic Emotional Availability in Children With Neuromotor Delay and Their Families

OBJECTIVE

Emotional availability (EA) describes caregiver-child emotional attunement and is critical to fostering adaptive development. Although early physical therapist interventions adopt a family centered approach, the impact of interventions on families is often not quantified. This study compares EA in dyads receiving usual care-early intervention (UC-EI) versus sitting together and reaching to play (START-Play) in addition to UC-EI.

METHODS

Data were drawn from 106 children with neuromotor delay who were 7 to 16 months old at baseline (mean = 10.5 months) and from their caregiver (91% were mothers). The EA Scale, Fourth Edition, was scored from 5-min videotaped interactions collected at baseline and at 3, 6, and 12 months after baseline. Piecewise multilevel modeling controlling for baseline age and motor delay estimated short- and long-term effects between treatment groups. Additionally, within-group change over time was analyzed to understand if groups differed in direction of EA trajectories. Analyses were run aggregated across all participants and stratified by baseline severity of motor delay or caregiver reported education.

RESULTS

When comparing EA between groups, there were significant positive short- and long-term effects of START-Play on adult EA (gs > 0.38), sensitivity (gs > 0.26), structuring (gs > 0.43), and nonintrusiveness (gs > 0.36). For dyads with mild or significant motor delay or whose parent reported less than a bachelor's degree at baseline, positive effects of START-Play were observed.

CONCLUSION

Results support important clinical implications for the positive effect of START-Play on EA. Similar child-level treatment effects highlight that the key difference between START-Play and UC-EI may lie in the way intervention affects caregivers. START-Play may be more beneficial to dyads with higher versus lower risks to EA.

IMPACT

Early physical therapist interventions can have a significant impact on parents, children, and the parent-child relationship. Measuring the effect of these interventions on the relationship is critical to optimizing the delivery of family centered care.

Priority setting for multicenter research among adults with cerebral palsy: a qualitative study

PURPOSE

Identify priorities for adult cerebral palsy (CP) research by engaging individuals with lived experience, clinical investigators, and community leaders.

MATERIALS AND METHODS

Qualitative descriptive study using iterative focus groups, followed by inductive thematic analysis. Participants included adults with CP and caregivers, clinical investigators, and community leaders in the CP and disability spaces. We explored research priorities among three research areas identified a priori- bone health, kidney health, and preventive care.

RESULTS

We conducted four focus groups (20 participants with lived experience; 10 clinical investigators; 9 community leaders). Most participants felt all topic areas were very important, though preventive care emerged as the top priority. We identified three overarching themes that cut across the various research areas discussed: patient and provider knowledge gaps; a precision medicine approach for adult CP care; and the need to address ableism.

CONCLUSIONS

Adults with CP face unique healthcare needs and risks as they age, and the evidence base to guide their care lags significantly behind. Our study identified preventive care as the top research priority for the adult CP research agenda. Next steps in this line of research should focus on interventions to facilitate primary and preventive care interactions for adults with CP.

Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review

BACKGROUND

Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and could potentially play a significant role in advancing rehabilomics research. This study explored the current status and potential benefits of implementing rehabilomics strategies through cloud-based rehabilitation.

OBJECTIVE

This scoping review aimed to investigate the implementation of rehabilomics strategies through cloud-based rehabilitation and summarize the current state of knowledge within the research domain. This analysis aims to understand the impact of cloud platforms on the field of rehabilomics and provide insights into future research directions.

METHODS

In this scoping review, we systematically searched major academic databases, including CINAHL, Embase, Google Scholar, PubMed, MEDLINE, ScienceDirect, Scopus, and Web of Science to identify relevant studies and apply predefined inclusion criteria to select appropriate studies. Subsequently, we analyzed 28 selected papers to identify trends and insights regarding cloud-based rehabilitation and rehabilomics within this study's landscape.

RESULTS

This study reports the various applications and outcomes of implementing rehabilomics strategies through cloud-based rehabilitation. In particular, a comprehensive analysis was conducted on 28 studies, including 16 (57%) focused on personalized rehabilitation and 12 (43%) on data security and privacy. The distribution of articles among the 28 studies based on specific keywords included 3 (11%) on the cloud, 4 (14%) on platforms, 4 (14%) on hospitals and rehabilitation centers, 5 (18%) on telehealth, 5 (18%) on home and community, and 7 (25%) on disease and disability. Cloud platforms offer new possibilities for data sharing and collaboration in rehabilomics research, underpinning a patient-centered approach and enhancing the development of personalized therapeutic strategies.

CONCLUSIONS

This scoping review highlights the potential significance of cloud-based rehabilomics strategies in the field of rehabilitation. The use of cloud platforms is expected to strengthen patient-centered data management and collaboration, contributing to the advancement of innovative strategies and therapeutic developments in rehabilomics.

Advancing stroke rehabilitation: the role of wearable technology according to research experts

BACKGROUND

Advancements in wearable technology have created new opportunities to monitor stroke survivors' behaviors in daily activities. Research insights are needed to guide its adoption in clinical practice, address current gaps, and shape the future of stroke rehabilitation. This project aims to: (1) Understand stroke rehabilitation researchers' perspectives on the opportunities, challenges, and clinical relevance of wearable technology for stroke rehabilitation, and (2) Identify necessary next steps to integrate wearable technology in research and clinical practice.

METHODS

Using a phenomenological qualitative design, two 90-minute focus groups were conducted with 12 rehabilitation researchers. The focus groups consisted of semi-structured, open-ended questions on functional movement behavior, motor performance and benefits and pitfalls of wearable technology. The transcribed focus groups were analyzed using inductive thematic analysis.

RESULTS

Three main themes were derived from the analysis: (1) Assessing activity performance is critical to inform interventions, (2) The demonstrated benefit is not commensurate with the added hassle, (3) Collaboration is needed between the industry, academia and end-users. Necessary future steps were recognized including the identification of intuitive and actionable metrics, and the integration of sensor-derived data with electronic health records and into clinical workflow to support self-management strategies.

CONCLUSION

Wearable technology shows great potential to complement and support stroke rehabilitation. Many key barriers to clinical adoption remain which underscore the necessity to foster collaborations between industry, academia, and the participants we serve.

What is the current state of precision rehabilitation? Protocol for a scoping study with a consultation phase

INTRODUCTION

Precision health can be described as the right intervention, at the right time, for the right person, with a focus on monitoring and maintaining health in a longitudinal approach. Despite an increasing focus on precision approaches in medicine, their application in a rehabilitation context remains unexplored. As such, a greater understanding of the current state of the literature is required, in combination with clinician, researcher and healthcare manager perspectives regarding barriers and facilitators to the practical implementation of precision rehabilitation in clinical practice.

OBJECTIVE

Describe and map the current state of knowledge regarding precision rehabilitation to identify gaps in knowledge and inform future research directions and clinical implementation strategies.

METHODS AND ANALYSIS

A scoping study will be conducted following current methodological recommendations (Peters et al, 2021) and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension guidelines. A convergent mixed-methods design will combine quantitative and qualitative findings. A search in Medline, CINAHL, Embase, Scopus, Web of Science and PsycINFO databases will be conducted for articles published between 2010 and 2023 referring to the concept of precision rehabilitation. Two reviewers will complete an abstract and full-text review based on eligibility criteria; data will be extracted from accepted papers using a data extraction framework. Results will be aggregated and synthesised using descriptive and thematic analyses. The consultation phase will involve a purposeful sampling of key stakeholders (clinicians, researchers and managers) in large North American rehabilitation centres. Semi-structured individual interviews will be conducted and analysed using deductive thematic analysis. Convergent mixed-methods data analyses will combine quantitative and qualitative datasets to highlight similarities and differences between the current literature on the subject and the understanding of stakeholders.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Research Ethics Board of the Sainte-Justine University Health Centre (no. 2024-6324). Results will be disseminated through professional networks, conference presentations and publications in scientific journals.

Professionals' Perspectives of Smart Stationary Bikes in Rehabilitation: Qualitative Study

Background

Stationary bikes are used in numerous rehabilitation settings, with most offering limited functionalities and types of training. Smart technologies, such as artificial intelligence and robotics, bring new possibilities to achieve rehabilitation goals. However, it is important that these technologies meet the needs of users in order to improve their adoption in current practice.

Objective

This study aimed to collect professionals' perspectives on the use of smart stationary bikes in rehabilitation.

Methods

Twelve health professionals (age: mean 43.4, SD 10.1 years) completed an online questionnaire and participated in a semistructured interview regarding their needs and expectations before and after a 30-minute session with a smart bike prototype.

Results

A content analysis was performed with inductive coding. Seven main themes emerged: (1) bike functionalities (cycling assistance, asymmetric resistance, and forward and backward cycling), (2) interface between bike and users (simple, user-friendly, personalized, with written reminders during training), (3) feedback to users (user and performance data), (4) training programs (preprogrammed and personalized, and algorithmic programs), (5) user engagement (telerehabilitation, group sessions, music, and automatic suggestion of training), (6) the bike as a physical device (dimensions, comfort, setup, screen, etc), and (7) business model (various pricing strategies, training for professionals, and after-sales service).

Conclusions

This study provides an interpretive understanding of professionals' perspectives regarding smart stationary bikes and is the first to identify the expectations of health professionals regarding the development of future bikes in rehabilitation.

What Impacts What: Clinicians' Perspectives of Causality in Aphasia Rehabilitation

PURPOSE

Determining the prognosis of aphasia recovery is an important task for clinicians in the rehabilitation of persons with aphasia. Although there are many variables identified as impactful to aphasia recovery, it is less clear (a) how clinicians perceive causality in aphasia rehabilitation and (b) how prognostic variables interact with each other. This study aimed to understand causal relations between prognostic variables from the clinician perspective.

METHOD

Ratings of perceived causality were obtained from 11 clinicians serving people with aphasia. Participants were presented with 255 directed causal relations (e.g., depression → aphasia severity), representing a total of 18 demographic, diagnostic, and psychosocial variables. Participants rated the perceived causality on a Likert scale from 0 (no causal effect) to 10 (strong causal effect). We also obtained ratings about frequency of access to information about each of the 18 variables.

RESULTS

A perceived causal network showed differences among variables in their perceived causality. There were many causal relations identified, particularly between diagnostic and psychosocial variables. The variables with the strongest perceived causality were predominantly psychosocial variables, including depression, social support, and participation. However, these psychosocial variables were also the variables that clinicians had the least frequent access to information about. There were also notable differences between participants in their perceived causal networks.

CONCLUSIONS

Clinicians hold valuable information about aphasia rehabilitation, including what variables are important to aphasia recovery. Understanding the complexity of interaction among prognostic variables and obtaining data from clinicians about prognostic variables and causality will advance the rehabilitation of aphasia.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.27105865.

Predicting Functional Outcomes Following Dysvascular Lower Limb Amputation: An Evidence Review of Personalizing Patient Outcomes

Most research on people undergoing lower limb amputations for dysvascular disease summarizes average patient outcome risks and average associations between patient factors and these outcomes. More recently, the importance of predicting patient-specific outcomes based on individual factors (ie, personalized rehabilitation) has become evident. This article reviews the evidence and discusses the importance of the following: (1) predicting outcomes to facilitate amputation-level and prosthesis prescription decisions and (2) how prediction models can be leveraged to develop decision support tools to facilitate provider/patient shared decision-making to ensure decisions considering each individual patient's priorities and preferences. Examples of these tools are discussed and referenced.

ICF classification of therapeutic goals for outpatient episodes of neurorehabilitation in post-stroke and Parkinson disease

PURPOSE

To understand therapeutic priorities, a secondary data analysis on a retrospective cohort was conducted to classify rehabilitation goals according to the International Classification of Functioning, Disability, and Health (ICF).

MATERIALS AND METHODS

Therapeutic goals from an initial outpatient physical or occupational therapy evaluation for patients post-stroke or with Parkinson disease, were classified into Level 1 of the ICF. Goals in the Activity and Participation component were further sub-classified as activity capacity or activity performance (self-report or direct) in daily life.

RESULTS

776 goals across 104 participants were classified into Level 1 of the ICF. The majority, 73% (563/776) were classified as Activity and Participation, 20% (155/776) as Body Function and 2% (17/776) as Environmental Factors. Fifty-two percent (400/776) of all goals were classified as activity capacity and 21% (163/776) as activity performance in daily life, with 21% (160/776) of goals measuring self-report activity performance in daily life and less than 1% (3/776) of goals measuring direct activity performance in daily life.

CONCLUSIONS

While the majority of therapeutic goals were classified into the Activity and Participation component, less than 1% of goals measured direct activity performance in daily life. If people seek outpatient rehabilitation to improve functioning in their real-world environment, therapeutic goal setting should reflect this.

Characteristics associated with gait speed improvements from walking interventions for older adults: A responder analysis

BACKGROUND

Some older adults benefit to a great degree from walking interventions and others experience little improvement. Understanding the personal characteristics associated with greater treatment response to different interventions could assist clinicians in providing patients with matched interventions to optimize both outcomes and resource use.

RESEARCH QUESTION

What personal characteristics are associated with improved gait speed for older adults participating in walking interventions?

METHODS

This was a secondary analysis of 236 older adults from a trial comparing "Standard" (lower-extremity strength and walking endurance) to "Plus" (additional task-specific training for walking) interventions on gait speed in older adults (≥65 years). Predictors included sociodemographic characteristics, health status, physical performance, and self-reported function. We fitted linear regression models to 12-week change in gait speed.

RESULTS

Predictors of improved gait speed in Standard group included: younger age (β=-0.015), lower BMI (β=-0.005), slower gait speed (β=-0.015), longer Figure 8 Walk time (β=0.010), and higher Late Life Function and Disability Instrument scores (β=0.003). The parsimonious set of multivariable predictors were never married (β=0.081), not a caregiver (β=0.208), no cancer history (β=-0.052), slower chair rise times (β=0.010), slower gait speed (β=-0.021), and better overall function and disability (β=0.006). Predictors of improved gait speed in Plus group included: lower BMI (β=-0.004), farther Six-Minute Walk distance (β=0.014), and greater modified Gait Efficacy Scale (β=0.002). The parsimonious set of multivariable predictors were increased age (β=0.026), no cardiovascular disease (β=0.137), greater total physical activity counts per day (β=0.003), slower baseline gait speed (β=-0.072), and longer Six-Minute Walk distance (β=0.054).

SIGNIFICANCE

Those with the combination of suboptimal physical performance and strong self-report of function may benefit from standard strength and conditioning. Individuals may best respond to task-specific training when health status and physical performance are suboptimal and not overtly compromised. Matching interventions with personal characteristics may enhance efficacy of treatments to improve walking in older adults.

Modeling the Heterogeneity of Post-Stroke Gait Control in Free-Living Environments Using a Personalized Causal Network

Post-stroke gait control is a complex, often fail to account for the heterogeneity and continuity of gait in existing gait models. Precisely evaluating gait speed adjustability and gait instability in free-living environments is important to understand how individuals with post-stroke gait dysfunction approach diverse environments and contexts. This study aimed to explore individual causal interactions in the free-living gait control of persons with stroke. To this end, fifty persons with stroke wore an accelerometer on the fifth lumbar vertebra (L5) for 24 h in a free-living environment. Individually directed acyclic graphs (DAGs) were generated based on the spatiotemporal gait parameters at contemporaneous and temporal points calculated from the acceleration data. Spectral clustering and Bayesian model comparison were used to characterize the DAGs. Finally, the DAG patterns were interpreted via Bayesian logistic analysis. Spectral clustering identified three optimal clusters from the DAGs. Cluster 1 included persons with moderate stroke who showed high gait asymmetry and gait instability and primarily adjusted gait speed based on cadence. Cluster 2 included individuals with mild stroke who primarily adjusted their gait speed based on step length. Cluster 3 comprised individuals with mild stroke who primarily adjusted their gait speed based on both step length and cadence. These three clusters could be accurately classified based on four variables: Ashman's D for step velocity, Fugl-Meyer Assessment, step time asymmetry, and step length. The diverse DAG patterns of gait control identified suggest the heterogeneity of gait patterns and the functional diversity of persons with stroke. Understanding the theoretical interactions between gait functions will provide a foundation for highly tailored rehabilitation.

Predictive utility of self-efficacy in early stroke rehabilitation

INTRODUCTION

A biopsychosocial approach entailing person-centered factors provides valuable insight to post-stroke rehabilitation potential. The consideration of an individual's belief in their capabilities, known as self-efficacy, may prove especially informative in the inpatient rehabilitation setting where motor learning often occurs.

OBJECTIVE

To assess the predictive utility of self-efficacy in functional independence status change during inpatient rehabilitation.

METHODS

Individuals with stroke admitted to an inpatient rehabilitation facility (IRF) completed an assessment battery near IRF admission and discharge involving motor assessments, participant-reported self-efficacy (Stroke Self-Efficacy Questionnaire), and functional independence status evaluation (sum of self-care and mobility Quality Indicators (QI) from the IRF-Patient Assessment Instrument). Linear regression was performed to determine the predictive performance of self-efficacy on QI change during IRF stay while accounting for age, time post-stroke, and IRF length of stay. Regression procedures were repeated for separate subgroups based on initial motor impairment level.

RESULTS

Thirty individuals with stroke (14 females, age = 67.0 ± 9.80 years, 10.4 ± 3.46 days post-stroke) were enrolled. Self-efficacy at IRF admission explained a significant percentage of variance in QI Change for the cohort (R2 = 30.7%, p = .001) and for the moderate to severe motor impairment subgroup (n = 12; R2 = 49.9%, p = .010). After accounting for confounders, self-efficacy remained a significant predictor for the cohort (n = 30) model.

DISCUSSION

Findings generated from this work support the predictive utility of self-efficacy in early post-stroke motor recovery. The inclusion of self-efficacy in a multi-faceted evaluation framework may therefore optimize rehabilitation outcomes by providing therapists with additional knowledge to better tailor an individual's care.

Unraveling stroke gait deviations with movement analytics, more than meets the eye: a case control study

Background

This study aimed to identify and quantify the kinematic and kinetic gait deviations in post-stroke hemiplegic patients with matched healthy controls using Statistical Parametric Mapping (SPM).

Methods

Fifteen chronic stroke patients [4 females, 11 males; age 53.7 (standard deviation 12.2) years; body mass 65.4 (10.4) kg; standing height 168.5 (9.6) cm] and 15 matched healthy controls [4 females, 11 males; age 52.9 (11.7) years; body weight 66.5 (10.7) years; standing height 168.3 (8.8) cm] were recruited. In a 10-m walking task, joint angles, ground reaction forces (GRF), and joint moments were collected, analyzed, and compared using SPM for an entire gait cycle.

Results

Generally, when comparing the stroke patients' affected (hemiplegic) and less-affected (contralateral) limbs with the control group, SPM identified significant differences in the late stance phase and early swing phase in the joint angles and moments in bilateral limbs (all p < 0.005). In addition, the vertical and anteroposterior components of GRF were significantly different in various periods of the stance phase (all p < 0.005), while the mediolateral component showed no differences between the two groups.

Conclusion

SPM was able to detect abnormal gait patterns in both the affected and less-affected limbs of stroke patients with significant differences when compared with matched controls. The findings draw attention to significant quantifiable gait deviations in the less-affected post-stroke limb with the potential impact to inform gait retraining strategies for clinicians and physiotherapists.

Improvements in motor control are associated with improved quality of life following an at-home muscle biofeedback program for chronic stroke

Introduction

Chronic stroke survivors with severe arm impairment have limited options for effective rehabilitation. High intensity, repetitive task practice (RTP) is known to improve upper limb function among stroke survivors who have some volitional muscle activation. However, clients without volitional movement of their arm are ineligible for RTP-based interventions and require hands-on facilitation from a clinician or robotic therapy to simulate task practice. Such approaches can be expensive, burdensome, and have marginal effects. Alternatively, supervised at-home telerehabilitation using muscle biofeedback may provide a more accessible, affordable, and effective rehabilitation option for stroke survivors with severe arm impairment, and could potentially help people with severe stroke regain enough volitional activation to be eligible for RTP-types of therapies. Feedback of muscle activity via electromyography (EMG) has been previously used with clients who have minimal or no movement to improve functional performance. Specifically, training to reduce unintended co-contractions of the impaired hand using EMG biofeedback may modestly improve motor control in people with limited movement. Importantly, these modest and covert functional changes may influence the perceived impact of stroke-related disability in daily life. In this manuscript, we examine whether physical changes following use of a portable EMG biofeedback system (Tele-REINVENT) for severe upper limb hemiparesis also relate to perceived quality of life improvements. Secondarily, we examined the effects of Tele-REINVENT, which uses EMG to quantify antagonistic muscle activity during movement attempt trials and transform individuated action into computer game control, on several different domains of stroke recovery.

Methods

For this pilot study, nine stroke survivors (age = 37-73 years) with chronic impairment (Fugl-Meyer = 14-40/66) completed 30 1-hour sessions of home-based training, consisting of six weeks of gaming that reinforced wrist extensor muscle activity while attenuating coactivation of flexor muscles. To assess motor control and performance, we measured changes in active wrist ranges of motion, the Fugl-Meyer Assessment, and Action Research Arm Test. We also collected an EMG-based test of muscle control to examine more subtle changes. To examine changes in perceived quality of life, we utilized the Stroke Impact Scale along with participant feedback.

Results

Results from our pilot data suggest that 30 sessions of remote training can induce modest changes on clinical and functional assessments, showing a statistically significant improvement of active wrist ranges of motion at the group level, changes that could allow some people with severe stroke to be eligible for other therapeutic approaches, such as RTP. Additionally, changes in motor control were correlated with the perceived impact of stroke on participation and impairment after training. We also report changes in corticomuscular coherence, which showed a laterality change from the ipsilesional motor cortex towards the contralesional hemisphere during wrist extension attempts. Finally, all participants showed high adherence to the protocol and reported enjoying using the system.

Conclusion

Overall, Tele-REINVENT represents a promising telerehabilitation intervention that might improve sensorimotor outcomes in severe chronic stroke, and that improving sensorimotor abilities even modestly may improve quality of life. We propose that Tele-REINVENT may be used as a precursor to help participants gain enough active movement to participate other occupational therapy interventions, such as RTP. Future work is needed to examine if home-based telerehabilitation to provide feedback of individuated muscle activity could increase meaningful rehabilitation accessibility and outcomes for underserved populations.

Impact of automated data flow and reminders on adherence and resource utilization for remotely monitoring physical activity in individuals with stroke or chronic obstructive pulmonary disease

As rehabilitation advances into the era of digital health, remote monitoring of physical activity via wearable devices has the potential to change how we provide care. However, uncertainties about patient adherence and the significant resource requirements needed create challenges to adoption of remote monitoring into clinical care. Here we aim to determine the impact of a novel digital application to overcome these barriers. The Rehabilitation Remote Monitoring Application (RRMA) automatically extracts data about physical activity collected via a Fitbit device, screens the data for adherence, and contacts the participant if adherence is low. We compare adherence and estimate the resources required (i.e., time and financial) to perform remote monitoring of physical activity with and without the RRMA in two patient groups. Seventy-three individuals with stroke or chronic obstructive pulmonary disease completed 28 days of monitoring physical activity with the RRMA, while 62 individuals completed 28 days with the data flow processes being completed manually. Adherence (i.e., the average percentage of the day that the device was worn) was similar between groups (p=0.85). However, the RRMA saved an estimated 123.8 minutes or $50.24 per participant month when compared to manual processes. These results demonstrate that automated technologies like the RRMA can maintain patient adherence to remote monitoring of physical activity while reducing the time and financial resources needed. Applications like the RRMA can facilitate the adoption of remote monitoring in rehabilitation by reducing barriers related to adherence and resource requirements.

Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study

BACKGROUND

The rehabilitation of a patient who had a stroke requires precise, personalized treatment plans. Natural language processing (NLP) offers the potential to extract valuable exercise information from clinical notes, aiding in the development of more effective rehabilitation strategies.

OBJECTIVE

This study aims to develop and evaluate a variety of NLP algorithms to extract and categorize physical rehabilitation exercise information from the clinical notes of patients who had a stroke treated at the University of Pittsburgh Medical Center.

METHODS

A cohort of 13,605 patients diagnosed with stroke was identified, and their clinical notes containing rehabilitation therapy notes were retrieved. A comprehensive clinical ontology was created to represent various aspects of physical rehabilitation exercises. State-of-the-art NLP algorithms were then developed and compared, including rule-based, machine learning-based algorithms (support vector machine, logistic regression, gradient boosting, and AdaBoost) and large language model (LLM)-based algorithms (ChatGPT [OpenAI]). The study focused on key performance metrics, particularly F1-scores, to evaluate algorithm effectiveness.

RESULTS

The analysis was conducted on a data set comprising 23,724 notes with detailed demographic and clinical characteristics. The rule-based NLP algorithm demonstrated superior performance in most areas, particularly in detecting the "Right Side" location with an F1-score of 0.975, outperforming gradient boosting by 0.063. Gradient boosting excelled in "Lower Extremity" location detection (F1-score: 0.978), surpassing rule-based NLP by 0.023. It also showed notable performance in the "Passive Range of Motion" detection with an F1-score of 0.970, a 0.032 improvement over rule-based NLP. The rule-based algorithm efficiently handled "Duration," "Sets," and "Reps" with F1-scores up to 0.65. LLM-based NLP, particularly ChatGPT with few-shot prompts, achieved high recall but generally lower precision and F1-scores. However, it notably excelled in "Backward Plane" motion detection, achieving an F1-score of 0.846, surpassing the rule-based algorithm's 0.720.

CONCLUSIONS

The study successfully developed and evaluated multiple NLP algorithms, revealing the strengths and weaknesses of each in extracting physical rehabilitation exercise information from clinical notes. The detailed ontology and the robust performance of the rule-based and gradient boosting algorithms demonstrate significant potential for enhancing precision rehabilitation. These findings contribute to the ongoing efforts to integrate advanced NLP techniques into health care, moving toward predictive models that can recommend personalized rehabilitation treatments for optimal patient outcomes.

The effect of post-acute rehabilitation setting on 90-day mobility after stroke: A difference-in-difference analysis

Background

After discharged from the hospital for acute stroke, individuals typically receive rehabilitation in one of three settings: inpatient rehabilitation facilities (IRFs), skilled nursing facilities (SNFs), or home with community services (i.e., home health or outpatient clinics). The initial setting of post-acute care (i.e., discharge location) is related to mortality and hospital readmission; however, the impact of this setting on the change in functional mobility at 90-days after discharge is still poorly understood. The purpose of this work was to examine the impact of discharge location on the change in functional mobility between hospital discharge and 90-days post-discharge.

Methods

In this retrospective cohort study, we used the electronic health record to identify individuals admitted to Johns Hopkins Medicine with an acute stroke and who had measurements of mobility [Activity Measure for Post Acute Care Basic Mobility (AM-PAC BM)] at discharge from the acute hospital and 90-days post-discharge. Individuals were grouped by discharge location (IRF=190 [40%], SNF=103 [22%], Home with community services=182 [(38%]). We compared the change in mobility from time of discharge to 90-days post-discharge in each group using a difference-in-differences analysis and controlling for demographics, clinical characteristics, and social determinants of health.

Results

We included 475 individuals (age 64.4 [14.8] years; female: 248 [52.2%]). After adjusting for covariates, individuals who were discharged to an IRF had a significantly greater improvement in AM-PAC BM from time of discharge to 90-days post-discharge compared to individuals discharged to a SNF or home with community services (β=-3.5 (1.4), p=0.01 and β=-8.2 (1.3), p=<0.001, respectively).

Conclusions

These findings suggest that the initial post-acute rehabilitation setting impacts the magnitude of functional recovery at 90-days after discharge from the acute hospital. These findings support the need for high-intensity rehabilitation and for policies that facilitate the delivery of high-intensity rehabilitation after stroke.

The Effect of Different Types of Exercise on Sleep Quality and Architecture in Parkinson Disease: A Single-Blinded Randomized Clinical Trial Protocol

OBJECTIVES

The purpose of this trial is to (1) determine the best exercise modality to improve sleep quality and sleep architecture in people with Parkinson disease (PD); (2) investigate whether exercise-induced improvements in sleep mediate enhancements in motor and cognitive function as well as other non-motor symptoms of PD; and (3) explore if changes in systemic inflammation after exercise mediate improvements in sleep.

METHODS

This is a multi-site, superiority, single-blinded randomized controlled trial. One hundred fifty persons with PD and sleep problems will be recruited and randomly allocated into 4 intervention arms. Participants will be allocated into 12 weeks of either cardiovascular training, resistance training, multimodal training, or a waiting list control intervention. Assessments will be conducted at baseline, immediately after each intervention, and 8 weeks after each intervention by blinded assessors. Objective sleep quality and sleep architecture will be measured with polysomnography and electroencephalography. Motor and cognitive function will be assessed with the Unified PD Rating Scale and the Scale for Outcomes in PD-Cognition, respectively. Subjective sleep quality, fatigue, psychosocial functioning, and quality of life will be assessed with questionnaires. The concentration of inflammatory biomarkers in blood serum will be assessed with enzyme-linked immunosorbent assays.

IMPACT

This study will investigate the effect of different types of exercise on sleep quality and architecture in PD, exploring interactions between changes in sleep quality and architecture with motor and cognitive function and other non-motor symptoms of the disease as well as mechanistic interactions between systemic inflammation and sleep. The results will provide important practical information to guide physical therapists and other rehabilitation professionals in the selection of exercise and the design of more personalized exercise-based treatments aimed at optimizing sleep, motor, and cognitive function in people with PD.

Individual and contextual factors influencing children's effort in pediatric rehabilitation interventions

Rehabilitation clinicians strive to encourage children's sustained effort within challenging practice conditions. Effort influences intervention success, yet it is rarely defined or measured. Effort can be conflated with individual factors, such as motivation and engagement, that might influence it. Contextual factors that likely impact children's effort, such as practice conditions and therapeutic interactions, are generally under-described. Defining, describing, and measuring effort and its influencers is necessary to enhance understanding of differences in rehabilitation intervention outcomes across individuals and contexts and to support the development of personalized precision rehabilitation approaches. This narrative review describes effort conceptualization in rehabilitation, particularly in relation to intensity, engagement, and participation nomenclature. The review outlines individual and contextual factors that may influence children's effort in rehabilitation and describes potential next steps for effort description and measurement. Subsequent work should aim to identify factors that can be targeted in clinical practice to promote and sustain children's effort in the rehabilitation process, thereby individualizing interventions and potentially improving their effectiveness. WHAT THIS PAPER ADDS: Effort as it relates to rehabilitation is confusingly described and infrequently measured. Engagement, involvement, intensity, and participation are terms alluding to effort. Child-specific and therapy-specific factors, alone and in combination, may influence children's effort. Clearer conceptualization of effort and the factors that influence it will support personalization of interventions. Better measurement will enhance knowledge about relationships between effort and therapeutic outcomes.

AI in Rehabilitation Medicine: Opportunities and Challenges

Artificial intelligence (AI) tools are increasingly able to learn from larger and more complex data, thus allowing clinicians and scientists to gain new insights from the information they collect about their patients every day. In rehabilitation medicine, AI can be used to find patterns in huge amounts of healthcare data. These patterns can then be leveraged at the individual level, to design personalized care strategies and interventions to optimize each patient's outcomes. However, building effective AI tools requires many careful considerations about how we collect and handle data, how we train the models, and how we interpret results. In this perspective, we discuss some of the current opportunities and challenges for AI in rehabilitation. We first review recent trends in AI for the screening, diagnosis, treatment, and continuous monitoring of disease or injury, with a special focus on the different types of healthcare data used for these applications. We then examine potential barriers to designing and integrating AI into the clinical workflow, and we propose an end-to-end framework to address these barriers and guide the development of effective AI for rehabilitation. Finally, we present ideas for future work to pave the way for AI implementation in real-world rehabilitation practices.

Understanding stroke survivors' preferences regarding wearable sensor feedback on functional movement: a mixed-methods study

BACKGROUND

In stroke rehabilitation, wearable technology can be used as an intervention modality by providing timely, meaningful feedback on motor performance. Stroke survivors' preferences may offer a unique perspective on what metrics are intuitive, actionable, and meaningful to change behavior. However, few studies have identified feedback preferences from stroke survivors. This project aims to determine the ease of understanding and movement encouragement of feedback based on wearable sensor data (both arm/hand use and mobility) for stroke survivors and to identify preferences for feedback metrics (mode, content, frequency, and timing).

METHODS

A sample of 30 chronic stroke survivors wore a multi-sensor system in the natural environment over a 1-week monitoring period. The sensor system captured time in active movement of each arm, arm use ratio, step counts and stance time symmetry. Using the data from the monitoring period, participants were presented with a movement report with visual displays of feedback about arm/hand use, step counts and gait symmetry. A survey and qualitative interview were used to assess ease of understanding, actionability and components of feedback that users found most meaningful to drive lasting behavior change.

RESULTS

Arm/hand use and mobility sensor-derived feedback metrics were easy to understand and actionable. The preferred metric to encourage arm/hand use was the hourly arm use bar plot, and similarly the preferred metric to encourage mobility was the hourly steps bar plot, which were each ranked as top choice by 40% of participants. Participants perceived that quantitative (i.e., step counts) and qualitative (i.e., stance time symmetry) mobility metrics provided complementary information. Three main themes emerged from the qualitative analysis: (1) Motivation for behavior change, (2) Real-time feedback based on individual goals, and (3) Value of experienced clinicians for prescription and accountability. Participants stressed the importance of having feedback tailored to their own personalized goals and receiving guidance from clinicians on strategies to progress and increase functional movement behavior in the unsupervised home and community setting.

CONCLUSION

The resulting technology has the potential to integrate engineering and personalized rehabilitation to maximize participation in meaningful life activities outside clinical settings in a less structured environment.

ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research

Rehabilitation research focuses on determining the components of a treatment intervention, the mechanism of how these components lead to recovery and rehabilitation, and ultimately the optimal intervention strategies to maximize patients' physical, psychologic, and social functioning. Traditional randomized clinical trials that study and establish new interventions face challenges, such as high cost and time commitment. Observational studies that use existing clinical data to observe the effect of an intervention have shown several advantages over RCTs. Electronic Health Records (EHRs) have become an increasingly important resource for conducting observational studies. To support these studies, we developed a clinical research datamart, called ReDWINE (Rehabilitation Datamart With Informatics iNfrastructure for rEsearch), that transforms the rehabilitation-related EHR data collected from the UPMC health care system to the Observational Health Data Sciences and Informatics (OHDSI) Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to facilitate rehabilitation research. The standardized EHR data stored in ReDWINE will further reduce the time and effort required by investigators to pool, harmonize, clean, and analyze data from multiple sources, leading to more robust and comprehensive research findings. ReDWINE also includes deployment of data visualization and data analytics tools to facilitate cohort definition and clinical data analysis. These include among others the Open Health Natural Language Processing (OHNLP) toolkit, a high-throughput NLP pipeline, to provide text analytical capabilities at scale in ReDWINE. Using this comprehensive representation of patient data in ReDWINE for rehabilitation research will facilitate real-world evidence for health interventions and outcomes.

The role of the microcirculation and integrative cardiovascular physiology in the pathogenesis of ICU-acquired weakness

Skeletal muscle dysfunction after critical illness, defined as ICU-acquired weakness (ICU-AW), is a complex and multifactorial syndrome that contributes significantly to long-term morbidity and reduced quality of life for ICU survivors and caregivers. Historically, research in this field has focused on pathological changes within the muscle itself, without much consideration for their in vivo physiological environment. Skeletal muscle has the widest range of oxygen metabolism of any organ, and regulation of oxygen supply with tissue demand is a fundamental requirement for locomotion and muscle function. During exercise, this process is exquisitely controlled and coordinated by the cardiovascular, respiratory, and autonomic systems, and also within the skeletal muscle microcirculation and mitochondria as the terminal site of oxygen exchange and utilization. This review highlights the potential contribution of the microcirculation and integrative cardiovascular physiology to the pathogenesis of ICU-AW. An overview of skeletal muscle microvascular structure and function is provided, as well as our understanding of microvascular dysfunction during the acute phase of critical illness; whether microvascular dysfunction persists after ICU discharge is currently not known. Molecular mechanisms that regulate crosstalk between endothelial cells and myocytes are discussed, including the role of the microcirculation in skeletal muscle atrophy, oxidative stress, and satellite cell biology. The concept of integrated control of oxygen delivery and utilization during exercise is introduced, with evidence of physiological dysfunction throughout the oxygen delivery pathway - from mouth to mitochondria - causing reduced exercise capacity in patients with chronic disease (e.g., heart failure, COPD). We suggest that objective and perceived weakness after critical illness represents a physiological failure of oxygen supply-demand matching - both globally throughout the body and locally within skeletal muscle. Lastly, we highlight the value of standardized cardiopulmonary exercise testing protocols for evaluating fitness in ICU survivors, and the application of near-infrared spectroscopy for directly measuring skeletal muscle oxygenation, representing potential advancements in ICU-AW research and rehabilitation.

Understanding preferences of stroke survivors for feedback provision about functional movement behavior from wearable sensors: a mixed-methods study

Background

In stroke rehabilitation, wearable technology can be used as an intervention modality by providing timely, meaningful feedback on motor performance. Stroke survivors' preferences may offer a unique perspective on what metrics are intuitive, actionable, and meaningful to change behavior. However, few studies have identified feedback preferences from stroke survivors. This project aims to determine stroke survivors' satisfaction with feedback from wearable sensors (both mobility and arm/hand use) and to identify preferences for feedback type and delivery schedule.

Methods

A sample of 30 chronic stroke survivors wore a multi-sensor system in the natural environment over a 1-week monitoring period. The sensor system captured time in active movement of each arm, arm use ratio, step counts and stance time symmetry. Using the data from the monitoring period, participants were presented with a movement report with visual displays of quantitative and qualitative feedback. A survey and qualitative interview were used to assess ease of understanding, actionability and components of feedback that users found most meaningful to drive lasting behavior change.

Results

Arm/hand use and mobility sensor-derived feedback metrics were easy to understand and actionable. The preferred metric to encourage arm/hand use was the hourly arm use bar plot, and similarly the preferred metric to encourage mobility was the hourly steps bar plot, which were each ranked as top choice by 40% of participants. Participants perceived that quantitative (i.e., step counts) and qualitative (i.e., stance time symmetry) mobility metrics provided complementary information. Three main themes emerged from the qualitative analysis: 1) Motivation for behavior change, 2) Real-time feedback based on individual goals, and 3) Value of experienced clinicians for prescription and accountability. Participants stressed the importance of having feedback tailored to their own personalized goals and receiving guidance from clinicians on strategies to progress and increase functional movement behavior in the unsupervised home and community setting.

Conclusion

The resulting technology has the potential to integrate engineering and personalized rehabilitation to maximize participation in meaningful life activities outside clinical settings in a less structured environment-one where stroke survivors live their lives.

AMPREDICT PROsthetics-Predicting Prosthesis Mobility to Aid in Prosthetic Prescription and Rehabilitation Planning

OBJECTIVE

To develop and validate a patient-specific multivariable prediction model that uses variables readily available in the electronic medical record to predict 12-month mobility at the time of initial post-amputation prosthetic prescription. The prediction model is designed for patients who have undergone their initial transtibial (TT) or transfemoral (TF) amputation because of complications of diabetes and/or peripheral artery disease.

DESIGN

Multi-methodology cohort study that identified patients retrospectively through a large Veteran's Affairs (VA) dataset then prospectively collected their patient-reported mobility.

SETTING

The VA Corporate Data Warehouse, the National Prosthetics Patient Database, participant mailings, and phone calls.

PARTICIPANTS

Three-hundred fifty-seven veterans who underwent an incident dysvascular TT or TF amputation and received a qualifying lower limb prosthesis between March 1, 2018, and November 30, 2020 (N=357).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE

The Amputee Single Item Mobility Measure (AMPSIMM) was divided into a 4-category outcome to predict wheelchair mobility (0-2), and household (3), basic community (4), or advanced community ambulation (5-6).

RESULTS

Multinomial logistic lasso regression, a machine learning methodology designed to select variables that most contribute to prediction while controlling for overfitting, led to a final model including 23 predictors of the 4-category AMPSIMM outcome that effectively discriminates household ambulation from basic community ambulation and from advanced community ambulation-levels of key clinical importance when estimating future prosthetic demands. The overall model performance was modest as it did not discriminate wheelchair from household mobility as effectively.

CONCLUSIONS

The AMPREDICT PROsthetics model can assist providers in estimating individual patients' future mobility at the time of prosthetic prescription, thereby aiding in the formulation of appropriate mobility goals, as well as facilitating the prescription of a prosthetic device that is most appropriate for anticipated functional goals.

Self-initiated management strategies in digitalized work and everyday life - experiences of people with cognitive difficulties due to neurological disorders

Background: Digitalized work life can increase cognitive demands and influence people's everyday life. This can be challenging for people with cognitive difficulties, yet there is scarce knowledge of how they manage these. It is essential to learn how self-initiated management strategies can be a resource to support sustainable work and everyday life.Aim: To describe how people with cognitive difficulties due to neurological disorders experience their use of self-initiated strategies to manage digitalized work and other activities of everyday life.Material and Methods: Eleven employees in digital work with cognitive difficulties and neurological disorders participated in qualitative interviews supported by a dialogue support tool. Data were analyzed using content analysis.Results: A complexity of strategies was used to manage digital work and other activities. Based on how strategies were applied, three different profiles were found. These reflected efforts to manage situations in everyday life and how these influenced strategies applied and their importance.Conclusion: This knowledge can support people with cognitive difficulties and professionals to become aware of the potential of strategies and acknowledge a person's own management resources. Reflections on how to manage situations can give perspectives on prevention or vocational rehabilitation to facilitate a sustainable work life.

Challenges and Opportunities in Academic Physiatry: An Environmental Scan

ABSTRACT

Environmental scans determine trends in an organization's or field's internal and external environment. The results can help shape goals, inform strategic decision making, and direct future actions. The Association of Academic Physiatrists convened a strategic planning group in 2020, composed of physiatrists representing a diversity of professional roles, career stages, race and ethnicity, gender, disability status, and geographic areas of practice. This strategic planning group performed an environmental scan to assess the forces, trends, challenges, and opportunities affecting both the Association of Academic Physiatrists and the entire field of academic physiatry (also known as physical medicine and rehabilitation, physical and rehabilitation medicine, and rehabilitation medicine). This article presents aspects of the environmental scan thought to be most pertinent to the field of academic physiatry organized within the following five themes: (1) Macro/Societal Trends, (2) Technological Advancements, (3) Diversity and Global Outreach, (4) Economy, and (5) Education/Learning Environment. The challenges and opportunities presented here can provide a roadmap for the field to thrive within the complex and evolving healthcare systems in the United States and globally.

The feasibility of remotely monitoring physical, cognitive, and psychosocial function in individuals with stroke or chronic obstructive pulmonary disease

Objective

Clinical implementation of remote monitoring of human function requires an understanding of its feasibility. We evaluated adherence and the resources required to monitor physical, cognitive, and psychosocial function in individuals with either chronic obstructive pulmonary disease or stroke during a three-month period.

Methods

Seventy-three individuals agreed to wear a Fitbit to monitor physical function and to complete monthly online assessments of cognitive and psychosocial function. During a three-month period, we measured adherence to monitoring (1) physical function using average daily wear time, and (2) cognition and psychosocial function using the percentage of assessments completed. We measured the resources needed to promote adherence as (1) the number of participants requiring at least one reminder to synchronize their Fitbit, and (2) the number of reminders needed for each completed cognitive and psychosocial assessment.

Results

After accounting for withdrawals, the average daily wear time was 77.5 ± 19.9% of the day and did not differ significantly between months 1, 2, and 3 (p = 0.30). To achieve this level of adherence, 64.9% of participants required at least one reminder to synchronize their device. Participants completed 61.0% of the cognitive and psychosocial assessments; the portion of assessments completed each month didnot significantly differ (p = 0.44). Participants required 1.13 ± 0.57 reminders for each completed assessment. Results did not differ by disease diagnosis.

Conclusions

Remote monitoring of human function in individuals with either chronic obstructive pulmonary disease or stroke is feasible as demonstrated by high adherence. However, the number of reminders required indicates that careful consideration must be given to the resources available to obtain high adherence.