Returning to employment following allogeneic hematopoietic stem cell transplant: A major problem among survivors.

Quality of life (QoL) is an important aspect of cancer survivorship. One of the most acute problems that impact survivors in many aspects of activities of daily living and compromise their QoL is the inability to return to employment following successful cancer therapy. This is most prominent among survivors after allogeneic hematopoietic stem cell transplant (allo-HSCT). More than 50% of the survivors following allo-HSCT remain unemployed one year after the procedure. This problem extends beyond the initial few years; unemployment rates among those who underwent allo-HSCT during their childhoods or adolescence have remained high. The inability to return to employment imposes a financial burden. Survivors following allo-HSCT also experience a multitude of chronic psychosocial complications that may be both contributing and consequential to the inability to return to employment. However, many transplant programs and cancer centers do not have return-to-employment programs. In this review paper, we discuss the prevalence of unemployment following allo-HSCT. We examine the psychosocial symptoms experienced by survivors and how they may affect survivors' ability to return to employment. Finally, we propose a multi-disciplinary multi-pronged occupation-focused approach to address the complex and inter-related psychosocial symptoms to help alleviate the problem.

The Impact of Cognitive Impairment on Robot-Based Upper-Limb Motor Assessment in Chronic Stroke.

BACKGROUND: Chronic upper extremity motor deficits are present in up to 65% of stroke survivors, and cognitive impairment is prevalent in 46-61% of stroke survivors even 10 years after their stroke. Robot-assisted therapy programs tend to focus on motor recovery and do not include stroke patients with cognitive impairment. OBJECTIVE: This study aims to investigate performance on the individual cognitive domains evaluated in the MoCA and their relation to upper-limb motor performance on a robotic system. METHODS: Participants were recruited from the stroke population with a wide range of cognitive and motor levels to complete a trajectory tracking task using the Haptic TheraDrive rehabilitation robot system. Motor performance was evaluated against standard clinical cognitive and motor assessments. Our hypothesis is that the cognitive domains involved in the visuomotor tracking task are significant predictors of performance on the robot-based task and that impairment in these domains results in worse motor performance on the task compared to subjects with no cognitive impairment. RESULTS: Our results support the hypothesis that visuospatial and executive function have a significant impact on motor performance, with differences emerging between different functional groups on the various robot-based metrics. We also show that the kinematic metrics from this task differentiate cognitive-motor functional groups differently. CONCLUSION: This study demonstrates that performance on a motor-based robotic assessment task also involves a significant visuospatial and executive function component and highlights the need to account for cognitive impairment in the assessment of motor performance.

Home safety evaluation - getting it right.

PURPOSE: Comprehensive and efficient home safety assessments are needed to provide quality interventions for community living. This study explores early career and experienced home evaluator perspectives on content and usability of HESTIA, a home safety assessment app. METHOD: Four early career and five experienced practitioners rated the HESTIA app using the uMARS usability evaluation and then participated in focus groups. Data were analysed using a key concept analytic approach. RESULTS: Results include "how to do" home safety evaluations and how prompts and training help practitioners "get it right." Early practitioner participants viewed the step-wise processes of the app as necessary whereas the experienced evaluators relied on own knowledge and experiences. CONCLUSIONS: Gobet and Chassy's TempT theory provides insight into the development of expertise in practice for rehabilitation professionals. The procedural complexities of assessment and ethical responsibility to provide competent, quality service to clients with disabilities are integrated into discussion of the development of professional intuition and ethical practice as guided by HESTIA.IMPLICATIONS FOR REHABILITATIONHome safety evaluations and home modifications are essential in helping persons with disabilities to live at home.Mobile applications such as HESTIA can serve as beneficial supports in facilitating effective decision making processes for rehabilitation practitioners conducting home safety evaluations.Technology driven assessments through mobile applications (apps) can help improve proper decision making and client outcomes, as well as aid in the development of intuition in students and early-career practitioners.Decision making support systems can help practitioners uphold their ethical responsibility to provide competent and quality rehabilitative services.

Classifying and tracking rehabilitation interventions through machine-learning algorithms in individuals with stroke.

INTRODUCTION: Stroke is the leading cause of disability worldwide. It has been well-documented that rehabilitation (rehab) therapy can aid in regaining health and function for individuals with stroke. Yet, tracking in-home rehab continues to be a challenge because of a lack of resources and population-scale demands. In order to address this gap, we implemented a methodology to classify and track rehab interventions in individuals with stroke. METHODS: We developed personalized classification algorithms, including neural network-based algorithms, to classify four rehab exercises performed by two individuals with stroke who were part of a week-long therapy camp in Jamaica, a low- and middle-income country. Accelerometry-based wearable sensors were placed on each upper and lower limb to collect movement data during therapy. RESULTS: The classification accuracy for traditional and neural network-based algorithms utilizing feature data (e.g., number of peaks) from the sensors ranged from 64 to 94%, respectively. In addition, the study proposes a new method to assess change in bilateral mobility over the camp duration. CONCLUSION: The results of this pilot study indicate that personalized supervised learning algorithms can be used to classify and track rehab activities and functional outcomes in resource limited settings such as LMICs.

Perceived Usefulness of a Social Robot Augmented Telehealth Platform by Therapists in the United States.

With the shortage of rehabilitation clinicians in rural areas and the ongoing COVID-19 pandemic, remote rehabilitation (telerehab) fills an important gap in access to rehabilitation, especially for the treatment of adults and children experiencing upper arm disability due to stroke and cerebral palsy. We propose the use of a socially assistive robot with arms, a torso, and a face to play games with and guide patients, coupled with a telepresence platform, to maintain the patient-clinician interaction, and a computer vision system, to aid in automated objective assessments, as a tool for achieving more effective telerehab. In this paper, we outline the design of such a system, Lil'Flo, and present a uniquely large perceived usefulness evaluation of the Lil'Flo platform with 351 practicing therapists in the United States. We analyzed responses to the question of general interest and 5 questions on Lil'Flo's perceived usefulness. Therapists believe that Lil'Flo would significantly improve communication, motivation, and compliance during telerehab interactions when compared to traditional telepresence. 27% of therapists reported that they were interested in using Lil'Flo. Therapists interested in using Lil'Flo perceived it as having significantly higher usefulness across all measured dimensions than those who were not interested in using it.

America's housing affordability crisis: Perpetuating disparities among people with disability.

America's housing affordability crisis has had various indirect costs on health and safety among people living with disability. The skyrocketing housing prices have exponentially increased with the onset of the COVID-19 pandemic leaving many people at risk for eviction after federal and local moratoriums providing protection during the pandemic expire. Americans with disabilities have been particularly affected by the affordability crisis and it is expected that this major public health problem will only grow as government-provided protections and supports wane. It is critical that both government and various housing organizations consider ways to support affordability, quality, and accessibility in this particularly hard-hit population.

Investigating child self-report capacity: a systematic review and utility analysis.

PURPOSE: To identify and evaluate methods for assessing pediatric patient-reported outcome (PRO) data quality at the individual level. METHODS: We conducted a systematic literature review to identify methods for detecting invalid responses to PRO measures. Eight data quality indicators were applied to child-report data collected from 1780 children ages 8-11 years. We grouped children with similar data quality patterns and tested for between-group differences in factors hypothesized to influence self-report capacity. RESULTS: We identified 126 articles that described 494 instances in which special measures or statistical techniques were applied to evaluate data quality at the individual level. We identified 22 data quality indicator subtypes: 9 direct methods (require administration of special items) and 13 archival techniques (statistical procedures applied to PRO data post hoc). Application of archival techniques to child-report PRO data revealed 3 distinct patterns (or classes) of the data quality indicators. Compared to class 1 (56%), classes 2 (36%) and 3 (8%) had greater variation in their PRO item responses. Three archival indicators were especially useful for differentiating plausible item response variation (class 2) from statistically unlikely response patterns (class 3). Neurodevelopmental conditions, which are associated with a range of cognitive processing challenges, were more common among children in class 3. CONCLUSION: A multi-indicator approach is needed to identify invalid PRO responses. Once identified, assessment environments and measurement tools should be adapted to best support these individuals' self-report capacity. Individual-level data quality indicators can be used to gauge the effectiveness of these accommodations.

Towards Data-Driven Autonomous Robot-Assisted Physical Rehabilitation Therapy.

Task-oriented therapy consists of three stages: demonstration, observation and assistance. While demonstration using robots has been extensively studied, the other two stages rarely involve robots. This paper focuses on the transition between observation and assistance. More specifically, we tackle the robot's decision making problem of whether to assist a patient or not based on the observation. The proposed method is to train a discrete tunnel shape 3-D decision boundary through correct demonstration to classify motions. Additional conditions such as slow progress, self correction and overshot motions are taken into account of the decision making. Preliminary experiments have been performed on BAXTER robot for a cup reaching task. The BAXTER robot is programmed to react according to the decision boundary. It assists the patient when the patient's hand position is determined by the proposed algorithm to be unacceptable. Multiple cases including correct motion, continuous assistance, overshot, misaim and slow progress are tested. Results have confirmed the feasibility of the proposed method, which can reduce the current shortage of physical rehabilitation therapists.

Impact of an Activity-Based Program on Health, Quality of Life, and Occupational Performance of Women Diagnosed With Cancer.

OBJECTIVE: We evaluated the impact of a 1-wk activity program on the health, quality of life (QOL), and occupational performance of community-living women diagnosed with cancer. METHOD: A one-group pretest-posttest repeated-measures design was used. Participants completed a functional health measure (36-Item Short Form Health Survey [SF-36]), a QOL measure (World Health Organization Quality of Life-Brief version [WHOQOL-BREF]), and an occupational performance and satisfaction measure (Canadian Occupational Performance Measure [COPM]) before and 6 wk after program completion. The COPM was also administered on Day 5. RESULTS: Paired t tests for the SF-36 and WHOQOL-BREF showed no significant differences, except for the WHOQOL-BREF's Social Relationships subscale (p < .008). Repeated-measures analyses of variance showed a significant difference in COPM performance and satisfaction scores (p < .001). CONCLUSION: The activity program effectively improved occupational performance and satisfaction and social relationships of community-living women diagnosed with cancer.

Impact of a Fieldwork Experience on Attitudes Toward People With Intellectual Disabilities.

OBJECTIVE: The objective of this study was to describe the effects of curriculum activities on changing attitudes of health professional students toward people with intellectual disabilities (IDs). METHOD: A nonrandomized, pretest-posttest design was used. Participants were college students assigned to one of three groups: two groups of students from different years in the occupational therapy program and one group of public health students. Each group completed the Attitudes Toward Intellectual Disabilities Questionnaire before and after each intervention. RESULTS: No significant differences were found in change of attitude after a lecture on the effects of stigma on people with disabilities. Length of time in program, age, and amount of experience with people with IDs affected changes in attitude for occupational therapy students after a fieldwork intervention. CONCLUSION: Level I fieldwork significantly improved the attitudes of occupational therapy students toward people with IDs, whereas a lecture did not.

Towards quantifying dynamic human-human physical interactions for robot assisted stroke therapy.

Human-Robot Interaction is a prominent field of robotics today. Knowledge of human-human physical interaction can prove vital in creating dynamic physical interactions between human and robots. Most of the current work in studying this interaction has been from a haptic perspective. Through this paper, we present metrics that can be used to identify if a physical interaction occurred between two people using kinematics. We present a simple Activity of Daily Living (ADL) task which involves a simple interaction. We show that we can use these metrics to successfully identify interactions.

Affordable stroke therapy in high-, low- and middle-income countries: From Theradrive to Rehab CARES, a compact robot gym.

Affordable technology-assisted stroke rehabilitation approaches can improve access to rehabilitation for low-resource environments characterized by the limited availability of rehabilitation experts and poor rehabilitation infrastructure. This paper describes the evolution of an approach to the implementation of affordable, technology-assisted stroke rehabilitation which relies on low-cost mechatronic/robot devices integrated with off-the-shelf or custom games. Important lessons learned from the evolution and use of Theradrive in the USA and in Mexico are briefly described. We present how a stronger and more compact version of the Theradrive is leveraged in the development of a new low-cost, all-in-one robot gym with four exercise stations for upper and lower limb therapy called Rehab Community-based Affordable Robot Exercise System (Rehab C.A.R.E.S). Three of the exercise stations are designed to accommodate versions of the 1 DOF haptic Theradrive with different custom handles or off-the-shelf commercial motion machine. The fourth station leverages a unique configuration of Wii-boards. Overall, results from testing versions of Theradrive in USA and Mexico in a robot gym suggest that the resulting presentation of the Rehab C.A.R.E.S robot gym can be deployed as an affordable computer/robot-assisted solution for stroke rehabilitation in developed and developing countries.

The effectiveness of orthoses in the conservative management of thumb CMC joint osteoarthritis: An analysis of functional pinch strength.

STUDY DESIGN: The study was a retrospective cohort analysis for a 19-month period from May 2013 to December 2014. INTRODUCTION: Although the use of orthoses has long been a staple of conservative treatment measures for individuals with osteoarthritis of the thumb carpometacarpal (CMC) joint, there remains little evidence exploring its effectiveness in improving functional outcomes for this client population. PURPOSE OF THE STUDY: The purpose of this study was to assess the effectiveness of 3 frequently used orthoses in improving the functional pinch strength of adults with a diagnosis of thumb CMC joint osteoarthritis. METHODS: A retrospective cohort analysis was conducted to determine whether pinch strength improved after orthotic fabrication, and fitting in patients referred to a hand therapy clinic. RESULTS: Patients who received a Colditz design orthosis had a mean increase of 2.64 lb with regard to functional pinch strength after orthotic fabrication and fitting. Patients who received a Comfort Cool orthosis (North Coast Medical, Morgan Hill, CA) had a mean increase of 2.47 lb, whereas patients who received a Thumb Spica orthosis had a mean increase of 3.25 lb. There was no evidence of any statistically significant difference in the average improvements in pinch strength between the Colditz design orthosis and the Comfort Cool orthosis. CONCLUSIONS: Results from this study demonstrate that orthosis wear consistently increases the functional pinch strength of individuals with thumb CMC joint osteoarthritis. Large-scale multisite research studies comparing various orthotic designs are necessary to help therapists determine best practice interventions for the conservative management of thumb CMC joint osteoarthritis. LEVEL OF EVIDENCE: 2(c).

The MED-AUDIT Ontology Version 1: an ontology for auditing the accessibility of medical devices.

The MED-AUDIT tool uses an electronic questionnaire designed to assess and quantify the accessibility of medical devices. We created the MED-AUDIT ontology to facilitate the auditing of medical devices by applying standard thesaurus construction techniques to concepts and vocabulary extracted from the questionnaire. A key feature of this ontology is that it links concepts between the MED-AUDIT and the International Classification of Functioning, Disability and Health (ICF).