Similarities and differences in factors associated with high and low sedentary behavior after stroke: a mixed methods study.

PURPOSE: To identify similarities and differences in factors affecting activity engagement between adults with stroke who are more and less sedentary. MATERIALS AND METHODS: Data were pooled from two studies of adults with stroke (N = 36). Sedentary time was measured activPAL micro3. Participants completed activPAL interviews, which were analyzed using framework analysis. Participants were stratified into more and less sedentary groups based on activPAL data. Between-group similarities and differences were identified. RESULTS: Adults with stroke (mean [SD] age = 65.8 [13.6] years, stroke chronicity = 40.5 [SD = 38.3] months, 36.1% female) were more sedentary (785.5 [64.7] sedentary minutes/day) and less sedentary (583.6 [87.4] sedentary minutes/day). Those who were more sedentary: engaged in basic activities of daily living, avoided activities, received assistance from other people, and did not use strategies to overcome barriers. Those who were less sedentary: engaged in instrumental and community activities, embraced new strategies, did activities with other people, and used strategies to overcome environmental barriers. CONCLUSIONS: Factors affecting activity engagement differed between people who are more and less sedentary. Interventions that aim to reduce post-stroke sedentary behavior should consider the: (1) types of activities, (2) role of other people, and (2) application of strategies to overcome activity and environment-related barriers.

People with lower levels of post-stroke sedentary behavior engaged in instrumental and community activities, relative to those with higher levels who primarily engaged in basic activities of daily living.Applying models of social support that emphasize doing with rather than doing for may be important for facilitating non-sedentary lifestyles.Facilitating the use of strategies to overcome environmental barriers to activities may be an important aspect of facilitating non-sedentary lifestyles.

Associations of Circadian Rest-Activity Rhythms With Affect and Cognition in Community-Dwelling Stroke Survivors: An Ambulatory Assessment Study.

BACKGROUND: Rest-activity rhythm (RAR) is a modifiable behavioral factor associated with affect and cognition. Identifying RAR characteristics associated with affect and cognition among stroke survivors provides insight into preventing poststroke affective and cognitive impairment. OBJECTIVE: To examine the associations of RAR characteristics with affect and cognition among community-dwelling stroke survivors. METHODS: Forty participants with mild stroke (mean age = 52.8; 42.5% female; 55% White) reported their affect and cognitive complaints using ecological momentary assessment and wore an accelerometer for 7 consecutive days and completed the National Institutes of Health Toolbox Cognition Battery. RAR characteristics were extracted using parametric and non-parametric approaches. Multivariable linear regressions were used to identify RAR characteristics associated with affect and cognition. RESULTS: Later onset of rest (B = 0.45; P = .008) and activity (B = 0.36; P = .041) were positively associated with depressed affect. These associations were reversed for cheerful effect (rest onset: B = -0.42; P = .017; activity onset: B = -0.39; P = .033). Cheerful affect was also positively associated with relative amplitude (ie, distinctions in activity levels between rest and activity; B = .39; P = .030). Intra-daily variability (ie, RAR fragmentation; B = 0.35; P = .042) and later onset of activity (B = .36; P = .048) were positively associated with cognitive complaints. Less erratic RAR was positively associated with fluid cognition (B = 0.29; P = .036); RAR fragmentation was positively associated with crystallized cognition (B = 0.39; P = .015). CONCLUSIONS: We identified RAR correlates of affect and cognition among stroke survivors, highlighting the value of managing RAR and sleep in stroke rehabilitation. Future studies should test whether advancing the onset of rest and activity, promoting a regular active lifestyle, and improving rest and sleep in the nighttime protect stroke survivors from affective and cognitive impairment.

Sleep-wake behavioral characteristics associated with depression symptoms: findings from the Multi-Ethnic Study of Atherosclerosis.

STUDY OBJECTIVES: To help prioritize target/groups for experimental intervention studies, we characterized cross-sectional associations between 24-hour sleep-wake measures and depression symptoms, and evaluated if similar sleep-wake-depression relationships existed in people with and without higher insomnia severity. METHODS: Participants had ≥3 days of actigraphy data (n = 1884; mean age = 68.6/SD = 9.1; 54.1% female). We extracted 18 sleep, activity, timing, rhythmicity, and fragmentation measures from actigraphy. We used individual and multivariable regressions with the outcome of clinically significant depression symptoms (Center for Epidemiologic Studies Depression Scale ≥ 16). We conducted sensitivity analyses in people with higher insomnia severity (top quartile of the Women's Health Initiative Insomnia Rating Scale total score). RESULTS: From separate models in the overall sample, the odds of having depression symptoms were higher with: later timing (e.g. activity onset time odds ratio [OR]/1 SD = 1.32; 95% confidence interval [CI]: 1.16 to 1.50), lower rhythmicity (e.g. pseudo-F OR/1 SD = 0.75; 95% CI: 0.66 to 0.85), less activity (e.g. amplitude OR/1 SD = 0.83; 95% CI: 0.72 to 0.95), and worse insomnia (OR/1 SD = 1.48, 95% CI: 1.31 to 1.68). In multivariable models conducted among people with lower insomnia severity, later timing, lower rhythmicity, and higher insomnia severity were independent correlates of depression. In people with higher insomnia symptom severity, measures of later timing were most strongly associated with depression symptoms. CONCLUSIONS: These correlative observations suggest that experimental studies are warranted to test if: broadly promoting 24-hour sleep-wake functioning reduces depression even in people without severe insomnia, and if advancing timing leads to depression symptom reductions in people with insomnia.

Implementing strategy training in Taiwan: perspectives of individuals with Acquired brain injury.

PURPOSE: Strategy training is a rehabilitation intervention that aims to enhance problem-solving skills with respect to daily activity-related challenges and has achieved favorable results in Western countries. This study explored the perspectives of individuals with acquired brain injury (ABI) in Taiwan who received strategy training. MATERIALS AND METHODS: Semi-structured interviews with community-dwelling adults with ABI were conducted, and reflective memos made by research team members were recorded. Interviews and memos were analyzed through thematic analysis. RESULTS: This study included 55 participants. The analysis of the participants' interview responses and memos yielded nine themes under three categories: 1) expectations regarding strategy training, 2) perceived benefits of strategy training, and 3) barriers affecting the process and outcomes of strategy training. CONCLUSIONS: All the participants endorsed strategy training through different gains. Most participants' expectations before the intervention were uncertain. Including family members into the strategy training is of key importance for a successfulness of their goals. The participants' experiences about strategy training were affected by various barriers (i.e., health and medical problems, the physical environment, and natural events). Clinicians and researchers should consider these expectations, benefits, and barriers when studying and implementing strategy training in non-Western contexts.IMPLICATIONS FOR REHABILITATIONStrategy training provides clients the opportunity to actively engage in their own goal setting and decision making.Strategy training increases the client's confidence in their ability to participate in the community, communicate, and perform daily living and physical activities.Therapists should consider the health conditions and physical environment of clients when helping them set goals and before facilitating their engagement in the community.Taiwanese family members play a crucial role in supporting acquired brain injury survivors in strategy training.

Female aging: when translational models don't translate.

For many pathologies associated with aging, female patients present with higher morbidity and more frequent adverse events from treatments compared to male patients. While preclinical models are the foundation of our mechanistic understanding of age-related diseases, the most common models fail to recapitulate archetypical female aging trajectories. For example, while over 70% of the top age-related diseases are influenced by the systemic effects of reproductive senescence, we found that preclinical studies that include menopausal phenotypes modeling those seen in humans make up <1% of published aging biology research. The long-term impacts of pregnancy, birthing and breastfeeding are also typically omitted from preclinical work. In this Perspective, we summarize limitations in the most commonly used aging models, and we provide recommendations for better incorporating menopause, pregnancy and other considerations of sex in vivo and in vitro. Lastly, we outline action items for aging biology researchers, journals, funding agencies and animal providers to address this gap.

Bidirectional temporal associations between sleep and affect and cognitive symptoms among community-dwelling stroke survivors: An ecological momentary assessment study.

INTRODUCTION: Sleep plays a critical role in daily functioning and stroke recovery but receives little attention in stroke rehabilitation. Sleep disturbances are linked to affective and cognitive impairments, but temporal associations between sleep and affect and cognitive symptoms are less clear. Understanding these temporal associations may inform new directions in intervention and prevention to support continued stroke recovery. OBJECTIVE: To examine the bidirectional temporal associations between sleep and affect and cognitive symptoms among community-dwelling stroke survivors. DESIGN: A secondary analysis of a longitudinal observational study involving 7 days of ecological momentary assessment (EMA), during which participants completed eight EMA surveys and a sleep diary per day. Multilevel modeling was used to analyze data. SETTING: Community. PARTICIPANTS: Community-dwelling stroke survivors (N = 40). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: EMA measures of depressed affect, cheerful affect, and cognitive symptoms. Sleep quality and duration as measured using a sleep diary. RESULTS: Between-person sleep quality was negatively associated with next-day depressed affect (B = -.16; p = .028) and positively associated with next-day cheerful affect (B = .63; p < .001). Inversely, between-person depressed affect was negatively associated with next night sleep quality (B = -.77; p = .015), and vice versa for cheerful affect (between-person: B = .45; p < .001; within-person: B = .09; p = .008). Long sleep (>9 hours) was positively associated with next-day cognitive symptoms (B = .13; p = .002), whereas cognitive symptoms were associated with a higher odds of long sleep the following night (odds ratio [OR] = 0.25; p = .047). CONCLUSIONS: This study identified the bidirectional associations of sleep with affect and cognitive symptoms in the context of the everyday life of stroke survivors. The findings suggest that interventions addressing sleep quality and duration may impact affect and cognitive symptoms, and vice versa.

Participation and Its Association With Health Among Community-Dwelling Adults With Chronic Stroke.

IMPORTANCE: Little is known about the severity of participation restrictions among people living in the community with chronic stroke. Even less is known about the association between participation and health in this population. OBJECTIVE: To describe participation among people with chronic stroke and examine the association between participation and physical and mental health. DESIGN: Secondary analysis of baseline data from an intervention study. SETTING: The parent multisite intervention study was conducted in the community, and assessments were administered in participants' homes. PARTICIPANTS: Thirty-one community-dwelling adults with chronic stroke. OUTCOMES AND MEASURES: Participation was measured with the Activity Card Sort (percentage of prestroke activities retained) and the Enfranchisement Scale of the Community Participation Indicators. Health was measured with the PROMIS®-29 Physical Health and Mental Health subscales. We calculated descriptive statistics for participation measures and Spearman's ρ correlations between participation and health outcomes. RESULTS: Participation scores were poor on all measures of participation. Most striking, 94.9% of participants retained less than 80% of their prestroke activities. All measures of participation were modestly correlated with physical health (ρ = .28-.46) and were moderately correlated with mental health (ρ = .42-.63). CONCLUSIONS AND RELEVANCE: Participation restrictions are prevalent among adults with chronic stroke, with potential implications for mental health. Stronger community-based rehabilitation and support services to enhance participation of this high-risk population are warranted. What This Article Adds: This report highlights the severity of participation restrictions among people with chronic stroke. Moreover, this report shows that people with stroke feel a lack of inclusion in the community and that participation is associated with mental and physical health.

Preferences on Delivery of Cancer Rehabilitation Services for Cancer-Related Disability Among Older Individuals Surviving Breast Cancer: A Qualitative Study.

Background: Older individuals surviving breast cancer often encounter cancer-related disability as a short-term or long-term effect of cancer and related treatment. Cancer rehabilitation interventions have the potential to prevent, mitigate, or remediate cancer-related disability. However, use of these services remains limited. Understanding the priorities and perspectives of older individuals surviving breast cancer is key to developing effective and implementable cancer rehabilitation interventions. This qualitative descriptive study examined individuals' preferred and valued methods of cancer rehabilitation intervention delivery. Methods: Using a qualitative descriptive design, older individuals surviving breast cancer (n=14) completed a single telephone-based semi-structure interview. Interviews explored survivors' preferences for cancer rehabilitation service delivery. Interview transcriptions were thematically analyzed. Open codes were inductively generated and reviewed for agreement by an independent reviewer. The codes were deductively organized. Differences were resolved through consensus meetings. Results: Findings revealed preferred intervention delivery characteristics for intervention setting, mode of delivery, format, and timing. Participants predominantly preferred interventions delivered in community-based settings, with both in-person and remote components. Participants also appeared to value one-on-one interventions and those delivered post-treatment. Survivors' overarching preferences were based on desire for patient-centric care, one-on-one therapist time, complex medical schedules, and financial concerns. Discussion: Study findings provide guidance on the modification of existing and creation of new cancer rehabilitation interventions addressing cancer-related disability in older individuals surviving breast cancer. Adoption of stakeholder-driven intervention delivery characteristics may improve value and acceptability of interventions. Future intervention research should incorporate and test these characteristics to ensure their effectiveness in real-world settings.

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.

Stakeholders' Experiences Using Videoconferencing for a Group-Based Stroke Intervention During COVID-19: A Thematic Analysis.

IMPORTANCE: Guidance is limited for training protocols that support stakeholders who are new to participating in telerehabilitation interventions using videoconferencing software. OBJECTIVE: To explore stakeholders' experiences participating in a group-based intervention during the coronavirus disease 2019 (COVID-19) pandemic using a videoconferencing software (Zoom). DESIGN: Ad hoc exploratory thematic analysis. SETTING: Community-based telerehabilitation. PARTICIPANTS: Stakeholders included group members (n = 8) who were low-income adults with chronic stroke (≥3 mo) and mild to moderate disability (National Institutes of Health Stroke Scale ≤ 16), group leaders (n = 4), and study staff (n = 4). INTERVENTION: Group-based intervention, ENGAGE, delivered using videoconferencing technology. ENGAGE blends social learning and guided discovery to facilitate community and social participation. OUTCOMES AND MEASURES: Semistructured interviews. RESULTS: Stakeholders included group members (ages 26-81 yr), group leaders (ages 32-71 yr), and study staff (ages 23-55 yr). Group members characterized ENGAGE as learning, doing, and connecting with others who shared their experience. Stakeholders identified social advantages and disadvantages to the videoconferencing environment. Attitudes toward technology, past technology experiences, the amount of time allotted for training, group size, physical environments, navigation of technology disruptions, and design of the intervention workbook were facilitators for some and barriers for others. Social support facilitated technology access and intervention engagement. Stakeholders recommended training structure and content. CONCLUSIONS AND RELEVANCE: Tailored training protocols may support stakeholders who are participating in telerehabilitation interventions using new software or devices. Future studies that identify specific tailoring variables will advance the development of telerehabilitation training protocols. What This Article Adds: These findings provide stakeholder-identified barriers and facilitators, in addition to stakeholder-informed recommendations, for technology training protocols that may support uptake of telerehabilitation in occupational therapy.

Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing.

Strategy training is a multidisciplinary rehabilitation approach that teaches skills to reduce disability among those with cognitive impairments following a stroke. Strategy training has been shown in randomized, controlled clinical trials to be a more feasible and efficacious intervention for promoting independence than traditional rehabilitation approaches. A standardized fidelity assessment is used to measure adherence to treatment principles by examining guided and directed verbal cues in video recordings of rehabilitation sessions. Although the fidelity assessment for detecting guided and directed verbal cues is valid and feasible for single-site studies, it can become labor intensive, time consuming, and expensive in large, multi-site pragmatic trials. To address this challenge to widespread strategy training implementation, we leveraged natural language processing (NLP) techniques to automate the strategy training fidelity assessment, i.e., to automatically identify guided and directed verbal cues from video recordings of rehabilitation sessions. We developed a rule-based NLP algorithm, a long-short term memory (LSTM) model, and a bidirectional encoder representation from transformers (BERT) model for this task. The best performance was achieved by the BERT model with a 0.8075 F1-score. This BERT model was verified on an external validation dataset collected from a separate major regional health system and achieved an F1 score of 0.8259, which shows that the BERT model generalizes well. The findings from this study hold widespread promise in psychology and rehabilitation intervention research and practice.

Item Understanding of Common Quality of Life Measures for use with Autistic Adults.

Quality of life (QOL) and life satisfaction are important research priorities for autistic adults. As such, we saw a need to evaluate individual items of commonly used subjective QOL scales to understand how they are interpreted and perceived by autistic adults. This study used cognitive interviews and repeated sampling to evaluate the accessibility, test-retest reliability and internal consistency of several common QOL measures in a sample of young autistic adults (n = 20; aged 19-32). Cognitive interviews suggested that the Satisfaction with Life Scale was well understood and demonstrated excellent internal consistency and test-retest reliability. While the WHOQoL-BREF and WHOQoL Disability Modules had adequate reliability, cognitive interviews suggested that additional instructions and examples would further enhance their accessibility for use with autistic adults.

Rest-Activity Rhythm Characteristics Associated With Depression Symptoms in Stroke Survivors.

OBJECTIVE: To examine which 24-hour rest-activity rhythm (RAR) characteristics are associated with depression symptoms in stroke survivors. DESIGN: Cross-sectional observational study examining associations of RAR characteristics with the presence of depression symptoms adjusting for age, sex, race, and medical comorbidity. SETTING: Community setting. PARTICIPANTS: Stroke survivors: (1) recruited locally (N women=35, N men=28) and (2) a nationally representative probability sample (the National Health and Nutrition Examination Survey [NHANES]; N women=156, N men=124). INTERVENTIONS: None. MEASUREMENTS: Objective RAR characteristics derived from accelerometer recordings including activity onset/offset times and non-parametric measures of RAR strength (relative amplitude), stability (interdaily stability), and fragmentation (intradaily variability). The presence of depression symptoms was categorized using Patient Health Questionnaire scores. RESULTS: In both samples, the only RAR characteristic associated with depression symptoms was intradaily variability (fragmentation): local sample, odds ratio=1.96 [95% confidence interval=1.05-3.63]; NHANES sample, odds ratio=1.34, [95% confidence interval=1.01-1.78]). In the NHANES sample, which included both mild and moderate/severe depression, the association between 24-hour sleep-wake fragmentation and depression symptoms was driven by moderate-to-severe cases. CONCLUSIONS: Stroke survivors with higher levels of RAR fragmentation were more likely to have depression symptoms in both samples. These findings have implications, given prior studies in general samples linking RAR fragmentation with future depression and dementia risk. Research is needed to establish the potential consequences, mechanisms, and modifiability of RAR fragmentation in stroke survivors.

Pilot RCT examining feasibility and disability outcomes of a mobile health platform for strategy training in inpatient stroke rehabilitation (iADAPT).

BACKGROUND: Strategy training is an intervention that may reduce disability when delivered in inpatient rehabilitation following stroke. However, shorter lengths of stay and challenges with continuity of care following discharge results in difficulties in achieving adequate intervention dosage and carryover of training. OBJECTIVE: We examined whether strategy training using a mobile health platform (iADAPT) is feasible during inpatient stroke rehabilitation and following discharge. METHODS: In this RCT, participants were randomized to receive strategy training using either the iADAPT application (n = 16) or a workbook (n = 15). Participants in both groups received 7 in-person sessions during inpatient rehabilitation and 3 remote sessions following discharge. We calculated descriptive statistics to examine acceptance, attendance, and adherence, and within-group effect sizes on satisfaction and disability. RESULTS: Participants in the iADAPT group attended fewer total intervention sessions (n = 5.5, workbook n = 9.0) but attempted a similar number of goals (n = 7.6, workbook n = 8.2). Both groups reported similar satisfaction with in-person intervention (Treatment Expectancy: iADAPT d = 0.60, workbook d = 0.47; Patient Provider Connection: iADAPT d = 0.18, workbook d = 0.31), but the mobile health group reported greater satisfaction with remote intervention (Treatment Expectancy: iADAPT d = -0.91, workbook d = -0.97; Patient Provider Connection: iADAPT d = 0.85, workbook d = -1.80). . CONCLUSIONS: Considering these promising feasibility metrics and the benefits of mobile health, it is worth continuing to explore the efficacy of strategy training using a mobile health platform.

Cut points and sensitivity to change of the Enfranchisement scale of the Community Participation Indicators in adults with traumatic brain injury.

BACKGROUND: Community participation is an important outcome of rehabilitation following traumatic brain injury. Yet, few measures assess inclusion and belonging (enfranchisement) as a dimension of community participation. The Enfranchisement scale of the Community Participation Indicators addresses this need. However, research on its psychometric properties is lacking. OBJECTIVE: To examine cut points and sensitivity to change of the Enfranchisement scale of the Community Participation Indicators in adults with traumatic brain injury. DESIGN: This was a repeated measures study with assessments administered twice (3 months apart). SETTING: Assessments were administered either over the phone, virtually (Zoom), or in person at the participant's home. PARTICIPANTS: A total of 44 participants from community settings who had either experienced a traumatic brain injury within the previous year or were receiving rehabilitation interventions were recruited. MAIN OUTCOME MEASURE: The Enfranchisement scale has two subscales: the Control subscale (range: 13-65) and the Importance subscale (range: 14-70). On both subscales, lower scores indicate better enfranchisement. METHODS: The software SAS PROC Logistic and the macro %ROCPlot were used to examine cut points at varying levels of sensitivity and specificity. The area under the receiver operating characteristics curve was calculated to determine overall classification accuracy. Minimum detectable change and minimal clinically important difference were also calculated. RESULTS: For the Control subscale, a cut point of 44 (area under the curve = .75), a minimum detectable change of 8, and a minimal clinically important difference of 5 were found. For the Importance subscale, a cut point of 39 (area under the curve = .81), a minimum detectable change of 8, and a minimal clinically important difference of 5 were found. CONCLUSIONS: The cut points resulted in good classification accuracy, providing support for their reliability. The results provided evidence that both subscales are sensitive to change in adults with brain injury.

Executive Function Poststroke: Concepts, Recovery, and Interventions.

Executive function is frequently impaired among people who have sustained stroke. This review provides an overview of definitions, concepts, and measures. The review also summarizes current best evidence examining executive function impairment and recovery trajectories after stroke, correlates of change over time, and emerging intervention research. Finally, this review provides recommendations for research and clinical practices, as well as priorities for future executive function research.

The Moderating Role of Motivation in the Real-Time Associations of Fatigue, Cognitive Complaints, and Pain With Depressed Mood Among Stroke Survivors: An Ecological Momentary Assessment Study.

OBJECTIVE: Stroke symptoms fluctuate during the day as stroke survivors participate in daily activities. Understanding the real-time associations among stroke symptoms and depressed mood, as well as the role of motivation for daily activities, informs, and post-stroke symptom management in the context of everyday living. This study aimed to (1) investigate the real-time associations of fatigue, cognitive complaints, and pain with depressed mood and (2) examine the role of motivation for daily activity participation as a potential moderator of these associations in stroke survivors. DESIGN: A prospective cohort study involving 7 days of ecological momentary assessment (EMA), during which participants completed 8 EMA surveys per day. Multilevel modeling was used to analyze data. SETTING: Community. PARTICIPANTS: Forty community-dwelling stroke survivors (N=40). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: EMA measures of depressed mood, stroke symptoms (physical and mental fatigue, cognitive complaints, and pain), and motivation (autonomous motivation, controlled motivation). RESULTS: Higher levels of within- and between-person physical fatigue, mental fatigue, cognitive complaints, and pain were momentarily associated with greater depressed mood (Ps<.001). Within-person autonomous motivation significantly buffered the momentary associations of physical fatigue (B=-0.06, P<.001), mental fatigue (B=-0.04, P=.032), and pain (B=-0.21, P<.001) with depressed mood. CONCLUSIONS: Findings indicate the momentary associations of fatigue, cognitive complaints, and pain with depressed mood in stroke survivors. Autonomous motivation underpinning daily activity participation was found to buffer the associations of fatigue and pain with depressed mood. Promoting autonomous motivation for daily activity participation may be viable for preventing and mitigating poststroke depression.

Examining Real-World Therapy Practice of Cognitive Screening and Assessment in Post-Acute Care.

OBJECTIVES: Routine implementation of cognitive screening and assessment by therapy providers in post-acute settings may promote improved care coordination. This study examined the frequency of cognitive screening and assessment documentation across post-acute settings, as well as its relationship with contextual factors and outcomes. DESIGN: Cross-sectional observational study using Medicare claims and electronic health record data from 1 large health system. SETTING AND PARTICIPANTS: Older adults admitted to post-acute care after an acute hospitalization. METHODS: Descriptive analysis examined documentation of cognitive screening and assessment. Logistic and hierarchical linear regression evaluated the relationship among patient factors, cognitive screening and assessment, and patient outcomes. RESULTS: The most common admission diagnoses for the final sample (n=2535) were total hip or knee joint replacement (41.7%) and stroke (15.3%). Following acute hospitalization, patients were discharged to inpatient rehabilitation (22.6%), skilled nursing (9.3%), or home health (68.1%). During the post-acute care stay, 38% of patients had documentation of cognitive screening by any therapy discipline. Patterns of documentation varied across disciplines and post-acute settings. Documentation of standardized cognitive assessments was limited, occurring for less than 2% of patients. Admission for stroke was associated with significantly higher odds of cognitive screening or assessment [odds ratio (OR) 2.07, 95% CI 1.13, 3.82] compared to patients with other diagnoses. There was no significant relationship between documentation of cognitive screening or assessment and 30-day readmissions (OR 0.81, 95% CI 0.53, 1.28). CONCLUSION AND IMPLICATIONS: The key finding was inconsistent documentation of cognitive screening and assessment across disciplines and post-acute settings, which could be in part due to variation in electronic health record platforms. Future work can expand on these results to understand the degree to which contextual factors facilitate or inhibit routine delivery and documentation of cognitive screening and assessment. Findings can support implementation of standardized data elements to lead to improved care coordination and outcomes.

Validation of the NIH Toolbox-Cognition Battery against legacy neurocognitive measures in adults with cognitive impairments: An exploratory analysis.

OBJECTIVE: The purpose of this exploratory study was to describe associations between NIH Toolbox-Cognition Battery subtests and legacy measures of neurocognitive function in two samples with neurological conditions (stroke and sickle cell disease (SCD)). METHOD: This exploratory secondary analysis uses data from two studies that assessed cognition at one time point using the NIH Toolbox-Cognition Battery, the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), and subtests from the Delis-Kaplan Executive Functions System (DKEFS). People with stroke (n = 26) and SCD (n = 64) were included. Associations between the NIH Toolbox-Cognition Battery subtests and corresponding legacy measures were examined using linear correlations, Bland-Altman analysis, and Lin's Concordance Correlation Coefficient. RESULTS: Linear correlations and Lin's Concordance Correlation Coefficient were poor to strong in both samples on NIH Toolbox-CB subtests: Flanker Inhibitory Control and Attention (r = .35 to .48, Lin CCC = .27 to .37), Pattern Comparison Processing Speed (r = .40 to .65, Lin CCC = .37 to .62), Picture Sequence Memory (r = .19 to .55, Lin CCC = .18 to .48), Dimensional Change Card Sort (r = .39 to .77, Lin CCC = .38 to .63), Fluid Cognition Composite (r = .88 to .90, Lin CCC = .60 to .79), and Total Cognition Composite (r = .64 to .83, Lin CCC = .60 to .78). Bland-Altman analyses demonstrated wide limits of agreement across all subtests (-3.17 to 3.78). CONCLUSIONS: The NIH Toolbox-Cognition Battery subtests may behave similarly to legacy measures as an overall assessment of cognition across samples at risk for neurological impairment. Findings should be replicated across additional clinical samples.