An Algorithm for Activity Recognition and Assessment of Adults Poststroke.

IMPORTANCE: Stroke is the leading cause of long-term disability in the United States. Providers have no robust tools to objectively and accurately measure the activity of people with stroke living at home. OBJECTIVE: To explore the integration of validated upper extremity assessments poststroke within an activity recognition system. DESIGN: Exploratory descriptive study using data previously collected over 3 mo to report on algorithm testing and assessment integration. SETTING: Data were collected in the homes of community-dwelling participants. PARTICIPANTS: Participants were at least 6 mo poststroke, were able to ambulate with or without an assistive device, and self-reported some difficulty using their arm in everyday activities. OUTCOMES AND MEASURES: The activity detection algorithm's accuracy was determined by comparing its activity labels with manual labels. The algorithm integrated assessment by describing the quality of upper extremity movement, which was determined by reporting extent of reach, mean and maximum speed during movement, and smoothness of movement. RESULTS: Sixteen participants (9 women, 7 men) took part in this study, with an average age of 63.38 yr (SD = 12.84). The algorithm was highly accurate in correctly identifying activities, with 87% to 95% accuracy depending on the movement. The algorithm was also able to detect the quality of movement for upper extremity movements. CONCLUSIONS AND RELEVANCE: The algorithm was able to accurately identify in-kitchen activities performed by adults poststroke. Information about the quality of these movements was also successfully calculated. This algorithm has the potential to supplement clinical assessments in treatment planning and outcomes reporting. Plain-Language Summary: This study shows that clinical algorithms have the potential to inform occupational therapy practice by providing clinically relevant data about the in-home activities of adults poststroke. The algorithm accurately identified activities that were performed in the kitchen by adults poststroke. The algorithm also identified the quality of upper extremity movements of people poststroke who were living at home.

Development and Testing of a Daily Activity Recognition System for Post-Stroke Rehabilitation.

Those who survive the initial incidence of a stroke experience impacts on daily function. As a part of the rehabilitation process, it is essential for clinicians to monitor patients' health status and recovery progress accurately and consistently; however, little is known about how patients function in their own homes. Therefore, the goal of this study was to develop, train, and test an algorithm within an ambient, in-home depth sensor system that can classify and quantify home activities of individuals post-stroke. We developed the Daily Activity Recognition and Assessment System (DARAS). A daily action logger was implemented with a Foresite Healthcare depth sensor. Daily activity data were collected from seventeen post-stroke participants' homes over three months. Given the extensive amount of data, only a portion of the participants' data was used for this specific analysis. An ensemble network for activity recognition and temporal localization was developed to detect and segment the clinically relevant actions from the recorded data. The ensemble network, which learns rich spatial-temporal features from both depth and skeletal joint data, fuses the prediction outputs from a customized 3D convolutional-de-convolutional network, customized region convolutional 3D network, and a proposed region hierarchical co-occurrence network. The per-frame precision and per-action precision were 0.819 and 0.838, respectively, on the test set. The outcomes from the DARAS can help clinicians to provide more personalized rehabilitation plans that benefit patients.

Occupational Therapy Practice Guidelines for Adults With Stroke.

IMPORTANCE: Stroke is a leading cause of disability. Occupational therapy practitioners ensure maximum participation and performance in valued occupations for stroke survivors and their caregivers. OBJECTIVE: These Practice Guidelines are meant to support occupational therapy practitioners' clinical decision making when working with people after stroke and their caregivers. METHOD: Clinical recommendations were reviewed from three systematic review questions on interventions to improve performance and participation in daily activities and occupations and from one question on maintaining the caregiving role for caregivers of people after stroke. RESULTS: The systematic reviews included 168 studies, 24 Level 1a, 90 Level 1b, and 54 Level 2b. These studies were used as the basis for the clinical recommendations in these Practice Guidelines and have strong or moderate supporting evidence. CONCLUSIONS AND RECOMMENDATIONS: Interventions with strong strength of evidence for improving performance in activities of daily living and functional mobility include mirror therapy, task-oriented training, mental imagery, balance training, self-management strategies, and a multidisciplinary three-stages-of-care rehabilitation program. Constraint-induced therapy has strong strength of evidence for improving performance of instrumental activities of daily living. Moderate strength of evidence supported cognitive-behavioral therapy (CBT) to address balance self-efficacy, long-term group intervention to improve mobility in the community, and a wearable upper extremity sensory device paired with training games in inpatient rehabilitation to improve social participation. Practitioners should incorporate problem-solving therapy in combination with CBT or with education and a family support organizer program. What This Article Adds: These Practice Guidelines provide a summary of strong and moderate evidence for effective interventions for people with stroke and for their caregivers.

Impairment-Based Interventions to Improve Social Participation Outcomes for Adults Poststroke (January 1, 2009-December 31, 2019).

Systematic Review Briefs provide a summary of the findings from systematic reviews developed in conjunction with the American Occupational Therapy Association's Evidence-Based Practice Program. Each Systematic Review Brief summarizes the evidence on a theme related to a systematic review topic. This Systematic Review Brief presents findings from the systematic review on stroke and impairment-based interventions to improve social participation for adults poststroke.

Occupation-Based Interventions for Social Participation Outcomes for Adults Poststroke (January 1, 2009-December 31, 2019).

Systematic Review Briefs provide a summary of the findings from systematic reviews developed in conjunction with the American Occupational Therapy Association's Evidence-Based Practice Program. Each Systematic Review Brief summarizes the evidence on a theme related to a systematic review topic. This Systematic Review Brief presents findings from the systematic review on occupation-based interventions for social participation outcomes for adults poststroke.

Interventions to Improve Work and Leisure for Adults Poststroke (January 1, 2009-December 31, 2019).

Systematic Review Briefs provide a summary of the findings from systematic reviews developed in conjunction with the American Occupational Therapy Association's Evidence-Based Practice Program. Each Systematic Review Brief summarizes the evidence on a theme related to a systematic review topic. This Systematic Review Brief presents findings from the systematic review on interventions to improve work and leisure for adults poststroke.

Interventions to Improve Social Participation, Work, and Leisure Among Adults Poststroke: A Systematic Review.

IMPORTANCE: Sustaining a stroke frequently leads to difficulties in returning to work, leisure, and social participation. These outcomes are important for occupational therapy practitioners to address. OBJECTIVE: To determine the current evidence for the effectiveness of interventions within the scope of occupational therapy practice to improve social participation, work, and leisure among adults poststroke. DATA SOURCES: MEDLINE, PsycINFO, CINAHL, OTseeker, and Cochrane databases. STUDY SELECTION AND DATA COLLECTION: Primary inclusion criteria were peer-reviewed journal articles published between January 1, 2009, and December 31, 2019, within the scope of occupational therapy that evaluated an intervention to address work, leisure, or social participation poststroke (levels of evidence ranged from Level 1b to Level 2b). Reviewers assessed records for inclusion, quality, and validity following Cochrane Collaboration and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. FINDINGS: Forty-seven articles met the inclusion criteria. Forty-four articles related to social participation were categorized as follows: occupation-based approaches, metacognitive strategy training, education and training approaches, impairment-based approaches, and enriched environment approaches. Three articles related to work and 3 articles related to leisure were not further categorized (2 articles were each included in two categories). Seventeen Level 1b and 30 Level 2b articles were included. The strength of evidence to support occupational therapy interventions for social participation, work, and leisure outcomes is predominantly low. CONCLUSIONS AND RELEVANCE: Occupational therapy interventions may improve work, leisure, and social participation outcomes poststroke, with the strongest evidence existing for client education, upper extremity training, and cognitive training for improving social participation. What This Article Adds: Occupational therapy practitioners may use the available literature along with clinical reasoning to improve work, leisure, and social participation outcomes among clients poststroke. Additional research is required to build stronger evidence to support clinical decision making in stroke rehabilitation in these areas.

Effectiveness of Virtual Reality- and Gaming-Based Interventions for Upper Extremity Rehabilitation Poststroke: A Meta-analysis.

OBJECTIVE: To investigate the efficacy of virtual reality (VR)- and gaming-based interventions for improving upper extremity function poststroke, and to examine demographic and treatment-related factors that may moderate treatment response. DATA SOURCES: A comprehensive search was conducted within the PubMed, CINAHL/EBSCO, SCOPUS, Ovid MEDLINE, and EMBASE databases for articles published between 2005 and 2019. STUDY SELECTION: Articles investigating gaming and VR methods of treatment for upper extremity weakness were collected with the following study inclusion criteria: (1) participants aged 18 years or older with upper extremity deficits; (2) randomized controlled trials or prospective study design; (3) Downs-Black rating score of ≥18; and (4) outcome measure was the Wolf Motor Functioning Test, the Fugl-Meyer, or the Action Research Arm Test. DATA EXTRACTION: Thirty-eight articles met inclusion criteria. The primary outcome was proportional improvement on the Wolf Motor Functioning Test, Fugl-Meyer, or Action Research Arm Test. The following individual or treatment factors were extracted: VR or gaming dose, total treatment dose, chronicity (> or <6mo), severity of motor impairment, and presence of a gaming component. DATA ANALYSIS: Random effects meta-analysis models were utilized to quantify (1) the proportional recovery that occurs after VR or gaming; (2) the comparative treatment effect of VR or gaming vs conventional physiotherapy; and (3) whether the benefit of virtual reality differed based on participant characteristics or elements of the treatment. RESULTS: On average, VR or gaming interventions produced an improvement of 28.5% of the maximal possible improvement. Dose and severity of motor impairment did not significantly influence rehabilitation outcomes. Treatment gains were significantly larger overall (10.8%) when the computerized training involved a gaming component vs just visual feedback. VR or gaming interventions showed a significant treatment advantage (10.4%) over active control treatments. CONCLUSIONS: Overall, VR- or gaming-based upper extremity rehabilitation poststroke appears to be more effective than conventional methods. Further in-depth study of variables affecting improvement, such as individual motor presentation, treatment dose, and the relationship between them, are needed.

Role of Occupational Therapy Practitioners in Mass Market Technology Research and Development.

Performance of many activities of daily living and instrumental activities of daily living involve technology, such as an electric toothbrush or a self-checkout register at the grocery store. Unfortunately, more than 60 million people with disabilities in the United States struggle to use these technologies because of inaccessible designs. Occupational therapy practitioners have a unique expertise in the design of accessible equipment. Practitioners have been involved in the design of adaptive and assistive equipment targeting use by people with disabilities since occupational therapy's beginnings. However, few occupational therapy professionals currently work in the research and development of everyday technologies. This article explores the role of the occupational therapy practitioner on the technology design team, discusses barriers to current practice, and makes recommendations to the profession.

Relationships between Occupational Therapy Practitioner Characteristics and Home Exercise Program Prescription for Clients with Neurological Injuries.

There are no guidelines for the prescription of home exercise programs (HEPs) for clients with neurological injuries. However, 95% of occupational therapy practitioners prescribe HEPs. Two thousand anonymous surveys were distributed to occupational therapy practitioners. Data from the 352 returned, usable surveys were analyzed to determine trends in HEP prescription across practice settings and provider demographics. Occupational therapy practitioners in community-based settings tended to use more functional activities and the number of years in practice did not influence HEP dosage. These findings suggest a need for clear guidelines for varying practice settings to guide HEP prescription.

Lee Silverman Voice Treatment BIG® for a Person With Stroke.

The extant literature suggests the Lee Silverman Voice Treatment BIG® (LSVT BIG) program is an effective intervention for persons with Parkinson's disease; however, no literature or research on the use of this program as an intervention for persons with stroke exists. We examined the effects of the LSVT BIG program for a 52-yr-old community-dwelling woman with mild to moderate upper extremity hemiparesis 2 yr after a stroke and the feasibility of delivering the home exercise component of the program in a game-based format. We made measurements at pretest, posttest, and 6-wk follow-up. The participant demonstrated self-reported improvements in occupational performance and satisfaction and large improvements in upper extremity motor function. The next step in this research is to deliver LSVT BIG and a home game-based program with a larger, more diverse population of persons with chronic stroke to further determine the effectiveness and appropriateness of this intervention.

Feasibility of Pediatric Game-Based Neurorehabilitation Using Telehealth Technologies: A Case Report.

This case report is the first in a series of reports designed to determine the feasibility of implementing game-based neurorehabilitation using telehealth technologies (GbN+TT) for children with cerebral palsy, evaluate the responsiveness of relevant outcome measures to changes in motor impairment and activity participation after intervention, and identify technological challenges associated with implementation of GbN+TT. The participant completed more than 56 hr of game-based neurorehabilitation over 8 wk using the Timocco platform in his home. The primary measures of motor impairment (Bruininks-Oseretsky Test of Motor Proficiency, Second Edition) and function (Pediatric Motor Activity Log) were both sensitive to change. Results indicate that it is feasible to administer GbN+TT to a child with cerebral palsy and monitor outcomes using standardized assessments.

A comparison of older adults' subjective experiences with virtual and real environments during dynamic balance activities.

The purpose of this study was to explore the subjective experience of older adults interacting with both virtual and real environments. Thirty healthy older adults engaged with real and virtual tasks of similar motor demands: reaching to a target in standing and stepping stance. Immersive tendencies and absorption scales were administered before the session. Game engagement and experience questionnaires were completed after each task, followed by a semistructured interview at the end of the testing session. Data were analyzed respectively using paired t tests and grounded theory methodology. Participants preferred the virtual task over the real task. They also reported an increase in presence and absorption with the virtual task, describing an external focus of attention. Findings will be used to inform future development of appropriate game-based balance training applications that could be embedded in the home or community settings as part of evidence-based fall prevention programs.

Occupational Therapy Practice: Time From Stroke Onset to Outpatient Upper Limb Rehabilitation.

Upper limb stroke rehabilitation has been understudied in usual occupational therapy. The study's purpose was to describe the timing and amount of usual occupational therapy in the stroke population for hospital-based outpatient upper limb rehabilitation. A multi-site study of timing and amount of occupational therapy was calculated for mild and moderate upper limb stroke impairments using the Fugl-Meyer Assessment-Upper Extremity (FMA-UE). Mild stroke participants (n = 58) had a mean of 164.25 days, and the moderate stroke participants (n = 64) had a mean of 106.75 days from the date of stroke onset to first treatment which was significantly different (p = .047). There were no significant differences in the amount of therapy between mild or moderate stroke patients. Mild stroke patients experience a longer delay in receiving outpatient occupational therapy compared with moderate impairments which may be attributed to the subtlety of the impairments that impact participation in daily activities.

MeTooOT: Sexual Harassment Experiences of Occupational Therapy Academics and Recommendations for Systemic Change.

Sexual harassment is pervasive in academic health fields. Although a predominantly female profession, early career academics and trainees in occupational therapy (OT) remain vulnerable to sexual harassment. We aimed to describe experiences of sexual harassment of female-identifying academic OT practitioners. We conducted surveys and interviews using Interpretive Phenomenological Analysis to examine participants' experiences. Ten participants completed the survey and/or interview. Experiences ranged from inappropriate comments to persistent sexual assault. Four themes (blurred lines, unbalanced consequences, "how did I get here?" and "we don't talk about it") were generated based on participant responses. Power dynamics and the cultures and values of the OT profession were underlying elements of all themes. The consequences of sexual harassment were severe and affected personal and professional growth. For OT research and education to thrive, stronger support for victims and consistent, appropriate consequences for perpetrators are necessary to minimize negative outcomes for victims.

Smart Technology for Aging and Reducing Disability (STAReD): Study protocol for a randomized pragmatic clinical trial.

BACKGROUND: There is a critical need to improve quality of life for community-dwelling older adults with disabilities. Prior research has demonstrated that a smart, in-home sensor system can facilitate aging in place for older adults living in independent living apartments with care coordination support by identifying early illness and injury detection. Self-management approaches have shown positive outcomes for many client populations. Pairing the smart, in-home sensor system with a self-management intervention for community-dwelling older adults with disabilities may lead to positive outcomes. METHODS: This study is a prospective, two-arm, randomized, pragmatic clinical trial to compare the effect of a technology-supported self-management intervention on disability and health-related quality of life to that of a health education control, for rural, community-dwelling older adults. Individuals randomized to the self-management study arm will receive a multidisciplinary (nursing, occupational therapist, and social work) self-management approach coupled with the smart-home sensor system. Individuals randomized to the health education study arm will receive standard health education coupled with the smart-home sensor system. The primary outcomes of disability and health-related quality of life will be assessed at baseline and post-intervention. Generalizable guidance to scale the technology-supported self-management intervention will be developed from qualitatively developed exemplar cases. CONCLUSION: This study has the potential to impact the health and well-being of rural, community-dwelling older adults with disabilities. We have overcome barriers including recruitment in a rural population and supply chain issues for the sensor system. Our team remains on track to meet our study aims.

Clinician Needs for Electronic Health Record Pediatric and Adolescent Weight Management Tools: A Mixed-Methods Study.

BACKGROUND: Clinicians play an important role in addressing pediatric and adolescent obesity, but their effectiveness is restricted by time constraints, competing clinical demands, and the lack of effective electronic health record (EHR) tools. EHR tools are rarely developed with provider input. OBJECTIVES: We conducted a mixed method study of clinicians who provide weight management care to children and adolescents to determine current barriers for effective care and explore the role of EHR weight management tools to overcome these barriers. METHODS: In this mixed-methods study, we conducted three 1-hour long virtual focus groups at one medium-sized academic health center in Missouri and analyzed the focus group scripts using thematic analysis. We sequentially conducted a descriptive statistical analysis of a survey emailed to pediatric and family medicine primary care clinicians (n = 52) at two private and two academic health centers in Missouri. RESULTS: Surveyed clinicians reported that they effectively provided health behavior lifestyle counseling at well-child visits (mean of 60 on a scale of 1-100) and child obesity visits (63); however, most felt the current health care system (27) and EHR tools (41) do not adequately support pediatric weight management. Major themes from the clinician focus groups were that EHR weight management tools should display data in a way that (1) improves clinical efficiency, (2) supports patient-centered communication, (3) improves patient continuity between visits, and (4) reduces documentation burdens. An additional theme was (5) clinicians trust patient data entered in real time over patient recalled data. CONCLUSION: Study participants report that the health care system status quo and currently available EHR tools do not sufficiently support clinicians working to manage pediatric or adolescent obesity and provide health behavior counseling. Clinician input in the development and testing of EHR weight management tools provides opportunities to address barriers, inform content, and improve efficiencies of EHR use.

Novel clinically-relevant assessment of upper extremity movement using depth sensors.

BACKGROUND: For individuals post-stroke, home-based programs are necessary to deliver additional hours of therapy outside of the limited time in the clinic. Virtual reality (VR)-based approaches show modest outcomes in improving client function when delivered in the home. The movement sensors used in these VR-based approaches, such as the Microsoft Kinect® have been validated against gold standards tools but have not been used as an assessment of upper extremity movement quality in the stroke population. OBJECTIVES: The purpose of this study was to explore the use of a movement sensor paired with a VR-based intervention to assess upper extremity movement for individuals post-stroke. METHODS: Movement data captured with the Microsoft Kinect® from four separate studies were aggregated for analysis (n = 8 individuals post-stroke, n = 30 individuals without disabilities). For all participants, the skeletal data (x, y, z coordinates for 15 tracked joints) for each game play session were processed in MatLab and movement variables (normalized jerk, movement path ratio, average path sway) were calculated using an OPTICS density-based cluster algorithm. RESULTS: Data from the 30 healthy individuals created a normative baseline for the three kinematic variables. Individuals post-stroke were less efficient and had more jerky movements in both upper extremities as compared to healthy individuals. CONCLUSION: It is feasible to use a movement sensor paired with a VR-based intervention to quantify and qualify upper extremity movement for individuals post-stroke. Further research with a larger cohort is necessary to establish clinical sensitivity and specificity.

Mixed-methods study of development and design needs for CommitFit, an adolescent mHealth App.

Background: Adolescent obesity remains a significant public health issue within the United States. Mobile application technology growth and popularity offer new opportunities for research and health improvement. The development of a consolidated mobile health application (mHealth app) for adolescents on these platforms has the potential to improve health outcomes. Thus, this study describes the co-development process working with adolescent users. The aims are as follows: (I) to explore the visual design and functional requirements when developing the CommitFit mHealth app, (II) to uncover the gamification techniques that incentivize adolescents to set and achieve healthy lifestyle goals, and (III) to identify adolescent expectations when using the CommitFit mHealth application. Methods: In this mixed method study, we used semi-structured interviews/task analysis and surveys of adolescents (aged 13 to 15 years) to understand their user requirements and design preferences during the development of the CommitFit mHealth app. Interviews were conducted online, via Zoom. The survey included the user design industry-standard System Usability Scale (SUS) paired with a supplemental questionnaire on the specific features and functionalities of the CommitFit mHealth app. Participants were recruited from the electronic health record from the University of Missouri Healthcare system. Results: Ten adolescents, aged 13 to 15 years (average of 13.6 years), were interviewed and surveyed to explore adolescent preferences with visual app design and functionality. Our inductive thematic analysis found that adolescents preferred colorful, user-friendly interfaces paired with gamification in the CommitFit mHealth app. Our analysis of SUS survey data validated our user-centered and human-system design and adolescents confirmed their design, feature, and functionality preferences. Overall, adolescent users were able to confirm their preference to have educational resources, goal recommendations, leaderboard, points, reminders, and an avatar in the app. Conclusions: Adolescent feedback is crucial in the successful development of our adolescent-targeted mHealth app, CommitFit. Adolescents preferred vibrant colors, easy-to-use interface, gamification, customizable and personalized, and mature graphics. Adolescents were especially motivated by gamification techniques to maintain their interest in the application and their health behavior goals. Additional research is now needed to explore the clinical effectiveness of the CommitFit mHealth app, as a health and lifestyle intervention.