Facilitators and barriers to employment for people with physical disabilities: A cross-sectional study.

BACKGROUND: There is increasing evidence that employment, or the lack thereof, affects an individual's health. Consequently, employment provides people with physical disabilities (PWPD) with financial independence, enhances their well-being and self-worth, and facilitates a sense of purpose. People with physical disabilities often retain job skills and motivation to return to work after acquiring a disability. Their vocational rehabilitation and job accommodation needs likely differ from people with disabilities resulting from developmental, sensory, cognitive, and mental health conditions. To better target the needs of PWPD and improve vocational rehabilitation services, it is crucial to identify the modifiable factors that influence their employment outcomes. OBJECTIVE: This research aimed to examine systematically the client-, employer-, and context-related facilitators and barriers to employment experienced by PWPD. METHODS: We recruited to this cross-sectional study, PWPD from the Midwestern United States who returned to work after injury or illness. An online survey collected data on demographic characteristics and educational history; disability and functional status; supports, facilitators and barriers to employment; and job information and accommodations. RESULTS: 347 working-age PWPD completed the survey; at the time of survey completion, 270 were working and 77 were not. People with physical disabilities who reported social support and encouragement at work were more likely to be working than respondents who did not. Negative attitudes of supervisors and colleagues, inaccessible work environments, and inflexible work schedules were barriers to employment. Important reasons for working included financial needs, a sense of purpose, and self-worth. CONCLUSIONS: Results provide insights into the importance of social supports in the work environment. Novel approaches are needed to develop supportive relationships with supervisors and coworkers.

A Digital Intervention to Promote Self-Management Self-Efficacy Among Community-Dwelling Individuals With Stroke: Pilot Randomized Controlled Trial.

BACKGROUND: Digital interventions provided through smartphones or the internet that are guided by a coach have been proposed as promising solutions to support the self-management of chronic conditions. However, digital intervention for poststroke self-management is limited; we developed the interactive Self-Management Augmented by Rehabilitation Technologies (iSMART) intervention to address this gap. OBJECTIVE: This study aimed to examine the feasibility and initial effects of the iSMART intervention to improve self-management self-efficacy in people with stroke. METHODS: A parallel, 2-arm, nonblinded, randomized controlled trial of 12-week duration was conducted. A total of 24 participants with mild-to-moderate chronic stroke were randomized to receive either the iSMART intervention or a manual of stroke rehabilitation (attention control). iSMART was a coach-guided, technology-supported self-management intervention designed to support people managing chronic conditions and maintaining active participation in daily life after stroke. Feasibility measures included retention and engagement rates in the iSMART group. For both the iSMART intervention and active control groups, we used the Feasibility of Intervention Measure, Acceptability of Intervention Measure, and Intervention Appropriateness Measure to assess the feasibility, acceptability, and appropriateness, respectively. Health measures included the Participation Strategies Self-Efficacy Scale and the Patient-Reported Outcomes Measurement Information System's Self-Efficacy for Managing Chronic Conditions. RESULTS: The retention rate was 82% (9/11), and the engagement (SMS text message response) rate was 78% for the iSMART group. Mean scores of the Feasibility of Intervention Measure, Acceptability of Intervention Measure, and Intervention Appropriateness Measure were 4.11 (SD 0.61), 4.44 (SD 0.73), and 4.36 (SD 0.70), respectively, which exceeded our benchmark (4 out of 5), suggesting high feasibility, acceptability, and appropriateness of iSMART. The iSMART group showed moderate-to-large effects in improving self-efficacy in managing emotions (r=0.494), symptoms (r=0.514), daily activities (r=0.593), and treatments and medications (r=0.870), but the control group showed negligible-to-small effects in decreasing self-efficacy in managing emotions (r=0.252), symptoms (r=0.262), daily activities (r=0.136), and treatments and medications (r=0.049). In addition, the iSMART group showed moderate-to-large effects of increasing the use of participation strategies for management in the home (r=0.554), work (r=0.633), community (r=0.673), and communication activities (r=0.476). In contrast, the control group showed small-to-large effects of decreasing the use of participation strategies for management in the home (r=0.567), work (r=0.342, community (r=0.215), and communication activities (r=0.379). CONCLUSIONS: Our findings support the idea that iSMART was feasible to improve poststroke self-management self-efficacy. Our results also support using a low-cost solution, such as SMS text messaging, to supplement traditional therapeutic patient education interventions. Further evaluation with a larger sample of participants is still needed. TRIAL REGISTRATION: ClinicalTrials.gov 202004137; https://clinicaltrials.gov/study/NCT04743037?id=202004137&rank=1.

Intraindividual variability in post-stroke cognition and its relationship with activities of daily living and social functioning: an ecological momentary assessment approach.

INTRODUCTION: Ecological momentary assessment (EMA) is a methodological approach to studying intraindividual variation over time. This study aimed to use EMA to determine the variability of cognition in individuals with chronic stroke, identify the latent classes of cognitive variability, and examine any differences in daily activities, social functioning, and neuropsychological performance between these latent classes. METHODS: Participants (N = 202) with mild-to-moderate stroke and over 3-month post-stroke completed a study protocol, including smartphone-based EMA and two lab visits. Participants responded to five EMA surveys daily for 14 days to assess cognition. They completed patient-reported measures and neuropsychological assessments during lab visits. Using latent class analysis, we derived four indicators to quantify cognitive variability and identified latent classes among participants. We used ANOVA and Chi-square to test differences between these latent classes in daily activities, social functioning, and neuropsychological performance. RESULTS: The latent class analysis converged on a three-class model. The moderate and high variability classes demonstrated significantly greater problems in daily activities and social functioning than the low class. They had significantly higher proportions of participants with problems in daily activities and social functioning than the low class. Neuropsychological performance was not statistically different between the three classes, although a trend approaching statistically significant difference was observed in working memory and executive function domains. DISCUSSION: EMA could capture intraindividual cognitive variability in stroke survivors. It offers a new approach to understanding the impact and mechanism of post-stroke cognitive problems in daily life and identifying individuals benefiting from self-regulation interventions.

Using Intervention Mapping and Behavior Change Techniques to Develop a Digital Intervention for Self-Management in Stroke: Development Study.

BACKGROUND: Digital therapeutics, such as interventions provided via smartphones or the internet, have been proposed as promising solutions to support self-management in persons with chronic conditions. However, the evidence supporting self-management interventions through technology in stroke is scarce, and the intervention development processes are often not well described, creating challenges in explaining why and how the intervention would work. OBJECTIVE: This study describes a specific use case of using intervention mapping (IM) and the taxonomy of behavior change techniques (BCTs) in designing a digital intervention to manage chronic symptoms and support daily life participation in people after stroke. IM is an implementation science framework used to bridge the gap between theories and practice to ensure that the intervention can be implemented in real-world settings. The taxonomy of BCTs consists of a set of active ingredients designed to change self-management behaviors. METHODS: We used the first 4 steps of the IM process to develop a technology-supported self-management intervention, interactive Self-Management Augmented by Rehabilitation Technologies (iSMART), adapted from a face-to-face stroke-focused psychoeducation program. Planning group members were involved in adapting the intervention. They also completed 3 implementation measures to assess the acceptability, appropriateness, and feasibility of iSMART. RESULTS: In step 1, we completed a needs assessment consisting of assembling a planning group to codevelop the intervention, conducting telephone surveys of people after stroke (n=125) to identify service needs, and performing a systematic review of randomized controlled trials to examine evidence of the effectiveness of digital self-management interventions to improve patient outcomes. We identified activity scheduling, symptom management, stroke prevention, access to care resources, and cognitive enhancement training as key service needs after a stroke. The review suggested that digital self-management interventions, especially those using cognitive behavioral theory, effectively reduce depression, anxiety, and fatigue and enhance self-efficacy in neurological disorders. Step 2 identified key determinants, objectives, and strategies for self-management in iSMART, including knowledge, behavioral regulation, skills, self-efficacy, motivation, negative and positive affect, and social and environmental support. In step 3, we generated the intervention components underpinned by appropriate BCTs. In step 4, we developed iSMART with the planning group members. Especially, iSMART simplified the original psychoeducation program and added 2 new components: SMS text messaging and behavioral coaching, intending to increase the uptake by people after stroke. iSMART was found to be acceptable (mean score 4.63, SD 0.38 out of 5), appropriate (mean score 4.63, SD 0.38 out of 5), and feasible (mean score 4.58, SD 0.34 out of 5). CONCLUSIONS: We describe a detailed example of using IM and the taxonomy of BCTs for designing and developing a digital intervention to support people after stroke in managing chronic symptoms and maintaining active participation in daily life.

Disability Phenotypes and Job Accommodations Utilization Among People with Physical Disability.

Purpose People with disabilities (PWD) are less likely to be employed than those without disabilities. Reasonable job accommodations are an essential factor for ensuring equal access to jobs for PWD. However, use of job accommodation is less than optimal among PWD with various types of disabilities. Sometimes, PWD have co-occurring impairments, which might affect accommodation use. This research aimed to explore disability phenotypes, frequently used accommodations, and employee- and job-related factors associated with the extent of job accommodation use. Methods A cross-sectional online survey of PWD was conducted in the Midwest region of the United States. Latent class analyses were used to identify disability phenotypes. Descriptive analysis and stepwise Poisson regression were used to identify factors associated with job accommodation use. Results A total of 326 PWD with work experience after acquiring a disability were included in this analysis. We identified three disability phenotypes: (1) Severe disability in cognitive, physical, emotional, communication and visual domains (32%), (2) Moderate cognitive and low physical disability (48%), and (3) High physical disability phenotypes (20%). 80% of PWD received at least one accommodation. Flexible working schedules, telework, and access to a support person in the workplace were the most common accommodations. Employee- (age, disability phenotypes, motor function) and job-related factors (job preparation, self-employment) are associated dependently with accommodation use. Conclusion This analysis identifies three disability phenotypes and highlights both employee- and job-related factors associated with accommodations used. It may be beneficial to consider multiple contextual factors, including co-occurring disability, employee- and job-related factors, when assisting people with job accommodations.

Smartphone assessment uncovers real-time relationships between depressed mood and daily functional behaviors after stroke.

INTRODUCTION: The impact of depressed mood in daily life is difficult to investigate using traditional retrospective assessments, given daily or even within-day mood fluctuations in various contexts. This study aimed to use a smartphone-based ambulatory assessment to examine real-time relationships between depressed mood and functional behaviors among individuals with stroke. METHODS: A total of 202 participants with mild-to-moderate stroke (90% ischemic, 45% female, 44% Black) completed an ecological momentary assessment five times per day for 2 weeks by reporting their depressed mood and functional behaviors regarding where, with whom, and what activity was spent. RESULTS: Participants spent 28% of their wake-up time participating in passive leisure activities but spent the least time in physical (4%) and vocational (9%) activities. Depressed mood was concurrently lower when participants engaged in social activities (ß = -0.023 ± 0.011) and instrumental activities of daily living (ß = -0.061 ± 0.013); spent time with family members (ß = -0.061 ± 0.014), spouses (ß = -0.043, ± 0.016), friends (ß = -0.094, ± 0.021), and coworkers (ß = -0.050 ± 0.021); and were located in restaurants (ß = -0.068 ± 0.029), and homes of family members (ß = -0.039 ± 0.020) or friends (ß = -0.069 ± 0.031). Greater depressed mood was associated with worse ratings in satisfaction, performance, and engagement of activities in concurrent (ßs = -0.036 ± 0.003, -0.053 ± 0.003, -0.044 ± 0.003) and time-lagged models (ßs = -0.011 ± 0.004, -0.012 ± 0.004, -0.013 ± 0.004). DISCUSSION: Smartphone-based ambulatory assessment can elucidate functional behaviors and associated mood after stroke. Findings support behavioral activation treatments to schedule social and instrumental activities for stroke survivors to reduce their depressed mood.

Ecological Momentary Assessment of Real-World Functional Behaviors in Individuals With Stroke: A Longitudinal Observational Study.

OBJECTIVE: To validate and characterize real-world functional behaviors in individuals after stroke. DESIGN: Longitudinal observational study using ecological momentary assessment (EMA) as a real-time assessment of functional behaviors in natural contexts. Wilcoxon rank-sum tests, Fisher exact tests, and Spearman correlations were used to analyze data. SETTING: Community. PARTICIPANTS: Individuals with mild to moderate stroke (N=212). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Individuals were assessed 5 times daily for 14 days with EMA surveys to determine what, with whom, and where individuals were doing activities and appraise mental, somatic, and cognitive symptoms. Individuals also completed standardized assessments during laboratory visits, including Lawton Instrumental Activities of Daily Living Scale, Activity Card Sort, Patient-Reported Outcome Measurement Information System, and Quality of Life in Neurological Disorders. RESULTS: Most individuals (median age, 60 years; 55% male) were ischemic stroke (90%) and had mild stroke severity (median National Institutes of Health Stroke Scale, 2). A total of 14,140 EMA surveys were analyzed. Individuals were home 78% of the time; primarily participated in passive, unproductive activities (27%), especially watching television and resting; and participated least in physical activities (4%). EMA was sensitive to indicators of poststroke disability; unemployed individuals reported fewer vocational activities but more activities of daily living (ADL) and passive activities than employed counterparts. Users of mobility devices and individuals with cognitive problems spent significantly less time on vocational activities and more on ADL than nonusers and those without cognitive problems. Our data supported the validity of EMA methods in stroke, with small to moderate correlations of EMA with in-laboratory measures of daily functioning (r=-0.30 to 0.35, P<.05) and very large correlations between EMA and in-laboratory measures of symptoms, especially those measuring same constructs (r=-0.64 to 0.79, P<.0001). CONCLUSIONS: Our findings reveal that EMA tracked poststroke functioning precisely. EMA may be beneficial in examining poststroke functional recovery, in monitoring patients for home-based interventions, and for longitudinal research.

Employment Consequences of COVID-19 for People with Disabilities and Employers.

Purpose The COVID-19 pandemic has disproportionately affected the lives of people with disabilities (PWD). How the pandemic affects the employment of PWD and employers has yet to be determined. We aimed to investigate the employment consequences of the pandemic as experienced by PWD and employers. The research questions were: (1) What employment effects do PWD experience, and what business changes do employers encounter as a result of the COVID-19 pandemic? (2) What challenges have PWD encountered during the pandemic? Methods Cross-sectional online surveys of 733 PWD and 67 employers in the Midwestern United States. Results Compared to non-disabled peers, PWD encountered more challenges in employment during the pandemic. We found high percentages of both employers and PWD experiencing employment changes and business shutdown during the pandemic. For PWD whose employment was not affected, 14.6% of the participants (n = 107) expected a loss of income and worried about the economic uncertainty of the pandemic. Unemployment for PWD is high due to illness or disability, being laid-off or furloughed, business reductions, and not feeling safe to work. However, only about 18.6% of unemployed PWD (n = 16) received pay or benefits for the time they were not working even though more than half filed for unemployment benefits. Conclusions The pandemic adversely affected employment of PWD as reported by workers and employers. Findings parallel the experience of the non-disabled workforce, but reveal vulnerabilities that reflect disability consequences and the need for job accommodations. Results reveal emergent needs for policy supports to reduce the disparities experienced by PWD in the workplace.