Detecting change in community participation with the Enfranchisement scale of the community participation indicators.

OBJECTIVE: This study determined the sensitivity to change of the Enfranchisement scale of the Community Participation Indicators in people with stroke. DATA SOURCES: We analyzed data from two studies of participants with stroke: an intervention study and an observational study. MAIN MEASURES: The Enfranchisement Scale contains two subscales: the Importance subscale (feeling valued by and contributing to the community; range: 14-70) and the Control subscale (choice and control: range: 13-64). DATA ANALYSIS: Assessments were administered 6 months apart. We calculated minimum detectable change and minimal clinically important difference. RESULTS: The Control subscale analysis included 121 participants with a mean age of 61.2 and mild-moderate disability (Functional Independence Measure, mean = 97.9, SD = 24.7). On the Control subscale, participants had a mean baseline score of 51.4 (SD = 10.4), and little mean change (1.3) but with large variation in change scores (SD = 11.5). We found a minimum detectable change of 9 and a minimum clinically important difference of 6. The Importance subscale analysis included 116 participants with a mean age of 60.7 and mild-moderate disability (Functional Independence Measure, mean = 98.9, SD = 24.5). On the Importance subscale, participants had a mean baseline score of 44.1 (SD = 12.7), and again demonstrated little mean change (1.08) but with large variation in change scores (SD = 12.6). We found a minimum detectable change of 11 and a minimum clinically important difference 7. CONCLUSIONS: The Control subscale required 9 points of change, and the Importance subscale required 11 points of change, to achieve statistically and clinically meaningful changes, suggesting adequate sensitivity to change.

Revisiting the dynamic comprehensive model of self-awareness: a scoping review and thematic analysis of its impact 20 years later.

This study aimed to (1) describe the scope of research related to the Dynamic Comprehensive Model of Awareness (DCMA) (Toglia & Kirk, 2000); (2) identify themes and support for key model postulates; and (3) suggest future research directions related to this model. Using PRISMA scoping guidelines, 366 articles were reviewed, and 54 articles met our inclusion criteria. Selected studies were clustered into three themes: (1) the relationship between general and online self-awareness (50%); (2) interventions based on the model (41%); and (3) factors contributing to self-awareness (9%). Most studies were conducted with participants with acquired brain injury (BI) and traumatic BI (68%), most used a cross-sectional design (50%), and most intervention studies utilized a single-subject design (18%), followed by an experimental design (9%). This review provides evidence for the wide application of the DCMA across varying ages and populations. The need for a multidimensional assessment approach is recognized; however, stronger evidence that supports a uniform assessment of online self-awareness is needed. The intervention studies frequently described the importance of direct experience in developing self-awareness; however, few studies compared how intervention methods to influence general versus online self-awareness, or how cognitive capacity, self-efficacy, psychological factors, and context, influence the development of self-awareness.

Spatial exploration strategy training for spatial neglect: A pilot study.

Spatial neglect is a syndrome due to impaired neural networks critical for spatial attention and related cognitive and motor functions. Affected individuals also have impaired self-awareness of their own neglect symptoms. The present randomized controlled study was the first proof-of-concept pilot examining the multi-context treatment approach using a protocol of spatial exploration strategy training in one brief session (20-30 minutes). The therapist provided supportive feedback and semi-structured guidance to promote strategy learning and self-discovery of omission errors. 40 patients with left-sided neglect after right brain stroke were included. The results showed that the treatment reduced lateralized bias toward the ipsilesional side of space but did not improve overall detection performance. Impaired general self-awareness of daily-life spatial difficulties was found independent of treatment outcome. This implies that judgment regarding responsiveness to treatment should not be made based on an awareness interview or the severity of neglect symptoms. Lastly, the treatment showed the potential of improving online contextual self-awareness of spatial abilities. A collaborative and interactive approach that focuses on helping the patient self-discover, monitor and self-manage their errors, appears to have a potential for decreasing neglect symptoms. Future studies are required to examine additional aspects of the multi-context treatment approach.

Online awareness of performance on a functional cognitive assessment in individuals with stroke: A case-control study.

Unawareness is a significant barrier to cognitive rehabilitation following acquired brain injury. Little is known about online awareness of cognitively-based instrumental activities of daily living (C-IADL) after stroke, particularly C-IADLs that emphasize executive functions. Our goal was to evaluate in stroke patients (1) online awareness during and immediately after a C-IADL task that emphasizes executive functions and (2) the association between awareness and performance on the C-IADL task. Seventy-seven stroke patients on an acute inpatient rehabilitation unit and 77 control participants completed the 10-item Weekly Calendar Planning Activity (WCPA-10), a standardized C-IADL task that requires working memory, planning, shifting, and inhibition. Trained examiners observed the use of a self-checking strategy and self-recognition of errors during the task. Immediately after the task, participants estimated their accuracy, and rated their own performance, which was compared with objective accuracy. Relative to the control group, stroke patients overestimated their accuracy, less often recognized errors, and less frequently used a self-checking strategy. Overestimation was associated with worse overall performance on the WCPA-10. Findings suggest that poor online awareness of C-IADL performance is common in stroke patients undergoing acute inpatient rehabilitation. Increasing awareness through metacognitive interventions should be a core focus of early post-stroke cognitive rehabilitation.

Feasibility and acceptability of the multicontext approach for individuals with acquired brain injury in acute inpatient rehabilitation: A single case series.

The Multicontext (MC) approach, a metacognitive intervention designed to improve awareness, strategy use, and executive functioning, may be beneficial for individuals with acquired brain injury (ABI) undergoing acute inpatient rehabilitation. The goal of this study was to provide evidence of feasibility and acceptability of the MC approach and to explore clinical outcomes. A case series of eight individuals with acquired brain injury and at least mild executive functioning impairment were recruited from an acute inpatient rehabilitation unit. The MC approach - involving guided questioning and patient self-generation of strategies practiced across everyday functional cognitive tasks - was implemented within routine occupational therapy. Occupational therapists implemented the MC approach with high adherence to the treatment protocol. Therapists' perceived challenges were the time constraints of inpatient rehabilitation as well as client factors. Participants rated the MC approach as highly satisfying and engaging. They described subjective improvements in their ability to use executive functioning strategies. The MC approach was associated with improvement in awareness, strategy use, and executive functioning at the conclusion of treatment. The MC approach may be a beneficial intervention for individuals with acquired brain injury and executive dysfunction undergoing acute inpatient rehabilitation. Further evaluation with larger samples in controlled trials is warranted.Trial registration: ClinicalTrials.gov identifier: NCT04363645..

Changes in the Activity Measure for Post-Acute Care Domains in Persons With Stroke During the First Year After Discharge From Inpatient Rehabilitation.

OBJECTIVE: To describe functional changes after inpatient stroke rehabilitation using the Activity Measure for Post-Acute Care (AM-PAC), an assessment measure sensitive to change and with a low risk of ceiling effect. DESIGN: Retrospective, longitudinal cohort study. SETTING: Inpatient rehabilitation unit of an urban academic medical center. PARTICIPANTS: Among 433 patients with stroke admitted from 2012-2016, a total of 269 (62%) were included in our database and 89 of 269 patients (33.1%) discharged from inpatient stroke rehabilitation had complete data. Patients with and without complete data were very similar. The group had a mean age of 68.0±14.2 years, National Institutes of Health Stroke Score of 8.0±8.0, and rehabilitation length of stay of 14.7±7.4 days, with 84% having an ischemic stroke and 22.5% having a recurrent stroke. INTERVENTION: None. MAIN OUTCOME MEASURES: Changes in function across the first year after discharge (DC) were measured in a variety of ways. Continuous mean scores for the basic mobility (BM), daily activity (DA), and applied cognitive domains of the AM-PAC were calculated at and compared between inpatient DC and 6 (6M) and 12 months (12M) post DC. Categorical changes among individuals were classified as "improved," "unchanged," or "declined" between the 3 time points based on the minimal detectable change, (estimated) minimal clinically important difference, and a change ≥1 AM-PAC functional stage (FS). RESULTS: For the continuous analyses, the Friedman test was significant for all domains (P≤.002), with Wilcoxon signed-rank test significant for all domains from DC to 6M (all P<.001) but with no change in BM and DA between 6M and 12M (P>.60) and a decline in applied cognition (P=.002). Despite group improvements from DC to 6M, for categorical changes at an individual level 10%-20% declined and 50%-70% were unchanged. Despite insignificant group differences from 6M-12M, 15%-25% improved and 20%-30% declined in the BM and DA domains. CONCLUSIONS: Despite group gains from DC to 6M and an apparent "plateau" after 6M post stroke, there was substantial heterogeneity at an individual level. Our results underscore the need to consider individual-level outcomes when evaluating progress or outcomes in stroke rehabilitation.

Using Multicontext Approach to Improve Instrumental Activities of Daily Living Performance after a Stroke: A Case Report.

Cognitive deficits constitute one of the greatest challenges for independence achievement after a stroke. This paper provides an in depth view of the application of the Multicontext approach within routine Occupational Therapy care for a 41-year-old who demonstrated limited participation in activities of daily living as a consequence of executive function impairments and limited self-awareness. Results indicated improved online self-awareness, strategy use and functional performance, however, no changes were observed on a standard Awareness Questionnaire. This suggests that awareness within activities may be more important in contributing to effective strategy use and functional performance compared to verbal acknowledgment in an interview. Results also support the feasibility of the Multicontext approach within inpatient settings in Argentina.

Subgroups Defined by the Montreal Cognitive Assessment Differ in Functional Gain During Acute Inpatient Stroke Rehabilitation.

OBJECTIVE: To validate subgroups of cognitive impairment on the Montreal Cognitive Assessment (MoCA)-defined as normal (score of 25-30), mildly impaired (score of 20-24), and moderately impaired (score less than 19)-by determining whether they differ in rehabilitation gain during inpatient stroke rehabilitation. DESIGN: Observational study. Linear regression models were conducted and predictors included MoCA subgroups and relevant baseline demographic and clinical covariates. Separate models included the cognitive subscale of the FIM instrument as a predictor. SETTING: Inpatient rehabilitation facility of an urban, academic medical center. PARTICIPANTS: Inpatients (N=334) with mild-moderate strokes who were administered the MoCA on admission. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The mean relative functional gain (mRFG) and mean relative functional efficiency (mRFE, which adjusts for length of stay) on the FIM total. RESULTS: MoCA subgroups significantly predicted mRFG and mRFE after accounting for age, sex, education, stroke severity, and recurrent vs first stroke. The normal group exhibited greater mRFG and mRFE than the mildly impaired group, while the moderately impaired group had significantly worse mRFG and mRFE than the mildly impaired group. The moderately impaired group had a significantly smaller proportion of individuals who made a clinically meaningful change on the total-FIM than the mildly impaired and normal groups. MoCA subgroups better accounted for mRFG and mRFE than a standard-of-care cognitive assessment (cognitive-FIM). CONCLUSIONS: Use of MoCA-defined subgroups can assist providers in predicting functional gain in survivors of stroke being treated in inpatient rehabilitation.

The weekly calendar planning activity in multiple sclerosis: A top-down assessment of executive functions.

Deficits in executive functioning are detrimental to employment, daily functioning and quality of life, however their precise nature in multiple sclerosis (MS) remains underspecified. The aims of this study were to: (1) describe the executive processes affected in MS, using a top-down (Weekly Calendar Planning Activity; WCPA) and bottom-up (Delis-Kaplan Executive Function System; DKEFS) assessment tools; (2) explore relationships between performance on the WCPA and DKEFS with a test of everyday functional performance, Actual RealityTM (AR). Methods: Sixty two participants with MS with and without cognitive impairments (n = 21 and 41, respectively) and 38 Healthy Controls (HC) completed the WCPA, two selected subtests of the DKEFS, and AR. Results: The MS group with cognitive impairments performed worse compared with the MS with no cognitive impairments and HC on both the WCPA and DKEFS. Better scores on the DKEFS were associated with better performance of the WCPA. WCPA was a significant predictor of three of the four AR variables. The DKEFS was a significant predictor of time to perform the AR. The results support the use of the WCPA as an assessment of executive functions in persons with MS. It embodies processes such as environmental monitoring, planning and problem solving, and self-regulation.

A new approach for assessing executive functions in everyday life, among adolescents with Genetic Generalised Epilepsies.

Studies have characterised relationships between cognitive status and a variety of clinical epilepsy factors. The aim of this study was to describe a new approach for assessing executive functions in everyday life and its unique expression in adolescents with Genetic Generalised Epilepsies (GGEs) compared with typical peers. Twenty adolescents with a diagnosis of GGEs and 20 typical healthy peers, matched by age and gender, were studied. Assessment of everyday executive function was carried out using: (1) the Weekly Calendar Planning Activity (WCPA), a direct performance based and outcome measure of strategy use and cognitive performance; and (2) Behavior Rating Inventory of Executive Function (BRIEF) parental report. Adolescents with GGEs demonstrated significantly less accuracy, less efficiency and fewer strategies used, as measured by the WCPA. Parents of adolescents with GGEs rated their child's daily performance as less efficient compared with typical peers. Better ratings of executive function (low BRIEF score) were associated with greater WCPA accuracy in the entered appointments. The WCPA provides a useful evaluation of cognitive performance for adolescents with GGEs and a functionally relevant information on task efficiency, self-monitoring and effective strategy use. Direct observation of performance supplements parental ratings and has strong potential to guide intervention and measure outcomes.

The diagnostic accuracy of the Montreal Cognitive Assessment in inpatient stroke rehabilitation.

The Montreal Cognitive Assessment (MoCA) is a commonly used screening measure for cognitive impairment; however, the diagnostic accuracy and optimal cutoff points in inpatients with mild stroke severity is unknown. We examined the diagnostic accuracy of the MoCA in an acute inpatient stroke rehabilitation unit (N = 95). The criterion neuropsychological assessment was the 30-minute National Institute of Neurological Disorders and Stroke-Canadian Stroke Network battery, modified to include the Symbol-Digit Modalities Test and Trail Making Test A & B. The MoCA had moderately strong diagnostic accuracy in receiver operating curve analyses, with areas under the curve ranging from .80 to .89 depending on the threshold for defining cognitive impairment. Sensitivity ranged from .72 to .87, and was generally greater than specificity, which ranged from .60 to .81. The optimal cutoff on the MoCA for detecting mild or greater cognitive impairment was <25/30. The optimal cutoff using more conservative definitions of cognitive impairment ranged from <23-24/30. Exploratory analyses of MoCA subgroups ("normal," "mildly impaired," and "functionally impaired") differed in the frequency and magnitude of impairment on the criterion neuropsychological assessment. These findings inform the clinical use of the MoCA in individuals with mild stroke in an inpatient rehabilitation setting.

Scoping review: Interventions that promote functional performance for adolescents and adults with Intellectual and Developmental Disabilities.

INTRODUCTION: Individuals with Intellectual and Developmental Disabilities (IDD) experience broad impairments that affect their functional performance and consequently result in the need for supervision and assistance on a daily basis. The literature contains effectiveness studies of functional interventions provided to adolescents and adults with IDD. However, existing differences in participant characteristics, study design, and type of functional intervention limit the ability to derive clinical evidence-based decisions. This scoping review sought to explore the breadth and depth of evidence related to interventions designed to promote everyday performance of adolescents and adults with IDD. METHODS: We conducted an electronic and hand search that yielded 1568 papers, after an extensive selection process reduced to a sample of 24 studies. RESULTS: A three-step extraction process of the 24 studies revealed 16 studies used functional training and technology-based approaches to teach individuals with IDD functional skills. Seven studies used functional training without a technology component, and two studies used functional training while comparing technology-based to non-technology based approaches. Overall, it appeared that functional training with the use of technology, especially Video Modelling (VM) and Prompting, were the most frequently and effectively used interventions to promote everyday performance. Gaps in research include limited studies on middle and older aged adults with moderate to severe IDD, minimal use of self-chosen goals or activities and use of technology as a continuous support. CONCLUSION: Our findings show a lack of studies for individuals age 30 and above with severe IDD. Additionally, this scoping review highlight that everyday functional performance of adolescents and adults with IDD can be enhanced with the usage of technology based functional interventions utilising VM and prompting methods.

Association Between 2 Measures of Cognitive Instrumental Activities of Daily Living and Their Relation to the Montreal Cognitive Assessment in Persons With Stroke.

OBJECTIVES: To explore the relation between a computer adaptive functional cognitive questionnaire and a performance-based measure of cognitive instrumental activities of daily living (C-IADL) and to determine whether the Montreal Cognitive Assessment (MoCA) at admission can identify those with C-IADL difficulties at discharge. DESIGN: Prospective cohort study. SETTING: Acute inpatient rehabilitation unit of an academic medical center. PARTICIPANTS: Inpatients (N=148) with a diagnosis of stroke (mean age, 68y; median, 13d poststroke) who had mild cognitive and neurological deficits. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Admission cognitive status was assessed by the MoCA. C-IADL at discharge was assessed by the Executive Function Performance Test (EFPT) bill paying task and Activity Measure of Post-Acute Care (AM-PAC) Applied Cognition scale. RESULTS: Greater cognitive impairment on the MoCA was associated with more assistance on the EFPT bill paying task (ρ=-.63; P<.01) and AM-PAC Applied Cognition scale (ρ=-.43; P<.01). This relation was nonsignificant for higher MoCA scores and EFPT bill paying task scores. The AM-PAC Applied Cognition scale and the EFPT bill paying task had low agreement in classifying functional performance (Cohen's κ=.20). A receiver operating characteristic curve identified optimal MoCA cutoff scores of 20 and 21 for classifying EFPT bill paying task status and AM-PAC Applied Cognition scale status, respectively. For values above 20 and 21, sensitivity increased whereas specificity decreased for classifying functional deficits. Approximately one third of the participants demonstrated C-IADL deficits on at least 1 C-IADL measure at discharge despite having a MoCA score of ≥26 at admission. CONCLUSIONS: Questionnaire and performance-based methods of assessment appear to yield different estimates of C-IADL. Low MoCA scores (<20) are more likely to identify those with C-IADL deficits on the EFPT bill paying task. The results suggest that C-IADL should be assessed in those who have mild or no cognitive difficulties at admission.

Adult Age and Cultural Differences in Performance on the Weekly Calendar Planning Activity (WCPA).

OBJECTIVE: We compared performance on a cognitively demanding task, the Weekly Calendar Planning Activity, of participants in three age groups and two countries (United States and Israel). METHOD: A sample of 375 U.S. and 433 Israeli healthy adults participated. During the activity, participants were observed for speed, accuracy, strategy use, and efficiency. RESULTS: Accuracy scores were similar in both countries; however, Israeli participants were slower and less efficient (p < .05). The younger and middle-aged Israeli groups were more strategic and the older Israeli group followed fewer rules than the corresponding U.S. groups (p < .05). Older participants in both countries were less accurate, efficient, and strategic than younger participants (p < .05). CONCLUSION: Limited strategy use and poor time allocation may contribute to difficulty managing cognitively demanding activities for older adults and may also be influenced by culture. Practitioners should consider these factors when screening people for occupational performance difficulties.

Structural connectome disruption at baseline predicts 6-months post-stroke outcome.

In this study, models based on quantitative imaging biomarkers of post-stroke structural connectome disruption were used to predict six-month outcomes in various domains. Demographic information and clinical MRIs were collected from 40 ischemic stroke subjects (age: 68.1 ± 13.2 years, 17 female, NIHSS: 6.8 ± 5.6). Diffusion-weighted images were used to create lesion masks, which were uploaded to the Network Modification (NeMo) Tool. The NeMo Tool, using only clinical MRIs, allows estimation of connectome disruption at three levels: whole brain, individual gray matter regions and between pairs of gray matter regions. Partial Least Squares Regression models were constructed for each level of connectome disruption and for each of the three six-month outcomes: applied cognitive, basic mobility and daily activity. Models based on lesion volume were created for comparison. Cross-validation, bootstrapping and multiple comparisons corrections were implemented to minimize over-fitting and Type I errors. The regional disconnection model best predicted applied cognitive (R(2) = 0.56) and basic mobility outcomes (R(2) = 0.70), while the pairwise disconnection model best predicted the daily activity measure (R(2) = 0.72). These results demonstrate that models based on connectome disruption metrics were more accurate than ones based on lesion volume and that increasing anatomical specificity of disconnection metrics does not always increase model accuracy, likely due to statistical adjustments for concomitant increases in data dimensionality. This work establishes that the NeMo Tool's measures of baseline connectome disruption, acquired using only routinely collected MRI scans, can predict 6-month post-stroke outcomes in various functional domains including cognition, motor function and daily activities. Hum Brain Mapp, 2016. © 2016 Wiley Periodicals, Inc.

Exploring the brain's structural connectome: A quantitative stroke lesion-dysfunction mapping study.

The aim of this work was to quantitatively model cross-sectional relationships between structural connectome disruptions caused by cerebral infarction and measures of clinical performance. Imaging biomarkers of 41 ischemic stroke patients (72.0 ± 12.0 years, 20 female) were related to their baseline performance in 18 cognitive, physical and daily life activity assessments. Individual estimates of structural connectivity disruption in gray matter regions were computed using the Change in Connectivity (ChaCo) score. ChaCo scores were utilized because they can be calculated using routinely collected clinical magnetic resonance imagings. Partial Least Squares Regression (PLSR) was used to predict various acute impairment and activity measures from ChaCo scores and patient demographics. Statistical methods of cross-validation, bootstrapping and multiple comparisons correction were implemented to minimize over-fitting and Type I errors. Multiple linear regression models based on lesion volume and lateralization information were constructed for comparison. All models based on connectivity disruption had lower Akaike Information Criterion and almost all had better goodness-of-fit values (R(2) : 0.26-0.92) than models based on lesion characteristics (R(2) : 0.06-0.50). Confidence intervals of PLSR coefficients identified brain regions important in predicting each clinical assessment. Appropriate mapping of eloquent functions, that is, language and motor, and replication of results across pathologies provided validation of this method. Models of complex functions provided new insights into brain-behavior relationships. In addition to the potential applications in prognostication and rehabilitation development, this quantitative approach provides insight into the structural networks underlying complex functions like activities of daily living and cognition. Quantitative analysis of big data will be invaluable in understanding complex brain-behavior relationships.

Online awareness: a concept analysis and review of assessment approaches for adults with neurological conditions.

PURPOSE: Self-awareness is a multifaceted phenomenon that comprises two main concepts: general awareness and online awareness. The latter is an emerging concept that requires further consensus on its definition. The aim of this paper is to define the key components of online awareness and identify approaches for measuring this concept for adults with neurological conditions. MATERIALS AND METHODS: Concept analysis using Rodgers' evolutionary method was used to systematically review and summarise relevant literature. Papers were included if they provided a definition of online awareness or method for assessing online awareness for an adult neurological population. RESULTS: Fifty-six papers were included in this review, with 21 online awareness assessment approaches identified. Online awareness was described to occur within the context of task performance, with the definition framework comprising four main aspects: 1/appraisal; 2/anticipation and prediction; 3/monitoring; and 4/self-evaluation. Self-regulation is a related concept that is considered to sit outside the conceptual boundaries of online awareness. CONCLUSIONS: The findings of this analysis highlight the complexity of online awareness and its importance in rehabilitation. Psychometrically robust measures of online awareness that are inclusive of the essential elements of this concept are needed to advance practice in this area.

Online awareness or awareness of performance within the context of an activity should be included in the comprehensive assessment of self-awareness for individuals with neurological conditions.Online awareness is a task-specific phenomenon that is activated in the context of task performance, and requires assessment across a range of tasks and environments.When assessing online awareness, careful consideration is required when selecting tasks to ensure they have the right level of challenge to elicit the need to monitor performance.The heterogeneity of existing online awareness assessments highlights the need to interpret outcomes with caution.Future efforts should be directed towards development of an online awareness assessment that includes key attributes of this concept.

Cognitive Self-Efficacy in Parkinson's Disease.

Cognitive self-efficacy (CSE), one's belief in their ability to control their cognitive performance, is important for participation in daily activities and rehabilitation. This study aims to understand how Parkinson's disease (PD) affects CSE. The Cognitive Self-Efficacy Questionnaire (CSEQ) was administered to 47 non-demented PD and 52 healthy comparison (HC) participants. Groups were compared on their self-reported ability to recognize (Part 1) and manage (Part 2) cognitive symptoms and to perform cognitively complex functional activities (Part 4). Relationships between CSEQ scores and individual characteristics were assessed within PD. The PD group had lower CSEQ scores than the HC group for all Parts. Within PD, Part 2 scores were lower than Parts 1 and 4, and worse depressive symptoms and higher medication dosage correlated with lower CSE. People with PD may have low CSE, which can contribute to participation restrictions and reduced engagement in treatment. Occupational therapists should consider CSE with clients with PD.

Cognitive deficits are common in people with Parkinson's disease (PD) and affect their quality of life. In this study, the researchers looked at cognitive self-efficacy (CSE) or the belief in one's cognitive abilities and compared the CSE of healthy individuals with individuals with PD without dementia. The findings of the study suggest that non-demented individuals with PD have lower CSE as compared with healthy individuals. Furthermore, individuals with PD may have difficulty recognizing and managing their cognitive deficits such as memory deficits or distractibility. This may affect their ability to participate in everyday tasks that require complex cognition such as managing finances or shopping or engaging in therapy interventions focused on cognition. The study also found that greater depressive symptoms and higher dose of dopamine medications in non-demented individuals with PD lowered their CSE. This study recommends that rehabilitation professionals include assessments and interventions on CSE during treatment sessions.

Using machine learning to modify and enhance the daily living questionnaire.

The Daily Living Questionnaire (DLQ) constitutes one of a number of functional cognitive measures, commonly employed in a range of medical and rehabilitation settings. One of the drawbacks of the DLQ is its length which poses an obstacle to conducting efficient and widespread screening of the public and which incurs inaccuracies due to the length and fatigue of the subjects. Objective: This study aims to use Machine Learning (ML) to modify and abridge the DLQ without compromising its fidelity and accuracy. Method: Participants were interviewed in two separate research studies conducted in the United States of America and Israel, and one unified file was created for ML analysis. An ML-based Computerized Adaptive Testing (ML-CAT) algorithm was applied to the DLQ database to create an adaptive testing instrument-with a shortened test form adapted to individual test scores. Results: The ML-CAT approach was shown to reduce the number of tests required on average by 25% per individual when predicting each of the seven DLQ output scores independently and reduce by over 50% when predicting all seven scores concurrently using a single model. These results maintained an accuracy of 95% (5% error) across subject scores. The study pinpoints which DLQ items are more informative in predicting DLQ scores. Conclusions: Applying the ML-CAT model can thus serve to modify, refine and even abridge the current DLQ, thereby enabling wider community screening while also enhancing clinical and research utility.

Feasibility and Acceptability of a Remotely Delivered Executive Function Intervention That Combines Computerized Cognitive Training and Metacognitive Strategy Training in Chronic Stroke.

Executive dysfunction after stroke is associated with limitations in daily activities and disability. Existing interventions for executive dysfunction show inconsistent transfer to everyday activities and require frequent clinic visits that can be difficult for patients with chronic mobility challenges to access. To address this barrier, we developed a telehealth-based executive function intervention that combines computerized cognitive training and metacognitive strategy. The goal of this study was to describe intervention development and to provide preliminary evidence of feasibility and acceptability in three individuals who completed the treatment protocol. The three study participants were living in the community and had experienced a stroke >6 months prior. We assessed satisfaction (Client Satisfaction Questionnaire-8 [CSQ-8]), credibility (Credibility and Expectancy Questionnaire), and feasibility (percent of sessions completed). All three subjects rated the treatment in the highest satisfaction category on the CSQ-8, found the treatment to be credible, and expected improvement. Participants completed a median of 96% of computerized cognitive training sessions and 100% of telehealth-delivered metacognitive strategy training sessions. Individuals with chronic stroke may find a remotely delivered intervention that combines computerized cognitive training and metacognitive strategy training to be feasible and acceptable. Further evaluation with larger samples in controlled trials is warranted.