Predictors of social risk for post-ischemic stroke reintegration.

After stroke rehabilitation, patients need to reintegrate back into their daily life, workplace and society. Reintegration involves complex processes depending on age, sex, stroke severity, cognitive, physical, as well as socioeconomic factors that impact long-term outcomes post-stroke. Moreover, post-stroke quality of life can be impacted by social risks of inadequate family, social, economic, housing and other supports needed by the patients. Social risks and barriers to successful reintegration are poorly understood yet critical for informing clinical or social interventions. Therefore, the aim of this work is to predict social risk at rehabilitation discharge using sociodemographic and clinical variables at rehabilitation admission and identify factors that contribute to this risk. A Gradient Boosting modelling methodology based on decision trees was applied to a Catalan 217-patient cohort of mostly young (mean age 52.7), male (66.4%), ischemic stroke survivors. The modelling task was to predict an individual's social risk upon discharge from rehabilitation based on 16 different demographic, diagnostic and social risk variables (family support, social support, economic status, cohabitation and home accessibility at admission). To correct for imbalance in patient sample numbers with high and low-risk levels (prediction target), five different datasets were prepared by varying the data subsampling methodology. For each of the five datasets a prediction model was trained and the analysis involves a comparison across these models. The training and validation results indicated that the models corrected for prediction target imbalance have similarly good performance (AUC 0.831-0.843) and validation (AUC 0.881 - 0.909). Furthermore, predictor variable importance ranked social support and economic status as the most important variables with the greatest contribution to social risk prediction, however, sex and age had a lesser, but still important, contribution. Due to the complex and multifactorial nature of social risk, factors in combination, including social support and economic status, drive social risk for individuals.

Socio-ecological Barriers to Leisure Time Physical Activity in Spanish Wheelchair Users With Spinal Cord Injury: Associations With Sociodemographic Characteristics and Functional Independence.

OBJECTIVE: (1) To assess prevalence and severity of socio-ecological barriers to leisure time physical activity (LTPA) in a sample of adults with spinal cord injury (SCI); (2) to examine the association of these barriers with sociodemographic characteristics and functional independence (FI); and (3) to explore which socio-ecological levels of barriers might be associated with LTPA. DESIGN: Cross-sectional study. SETTING: Neurorehabilitation Hospital specialized in SCI. PARTICIPANTS: 207 wheelchair users with SCI living in the community who attended a comprehensive check-up (22.7% women, 47.5±10.7 mean age; N=207). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The short version of the Barriers to Physical Activity Questionnaire for People with Mobility Impairments was used to measure socio-ecological barriers to LTPA. The Spinal Cord Independence Measure III was used to measure FI. The Physical Activity Recall Assessment for People with SCI was used to quantify LTPA. Several multiple linear regression models were computed to examine the associations between socio-ecological barriers and sociodemographic factors, LTPA and FI. RESULTS: A high prevalence of barriers to LTPA was found. Seven of these barriers (2 intrapersonal, 3 organizational, and 2 community) were present for >60% of the participants. Intrapersonal and organizational barriers had a higher effect on participants with lower FI and women. Interpersonal barriers were higher for older participants and with lower FI, while community barriers were higher for unemployed participants. Finally, intrapersonal and interpersonal barriers were negatively associated with LTPA, and FI revealed as a moderator of the intrapersonal barriers-LTPA relation. CONCLUSIONS: Given their high prevalence and their association with LTPA, the development of interventions targeting socio-ecological barriers to LTPA in people with SCI becomes crucial. The associations of these barriers with FI and sociodemographic characteristics should also be considered for these interventions to be as specific and effective as possible.

Psychosocial Outcomes Associated With Types and Intensities of Physical Activity in People With Spinal Cord Injury: The Mediating Role of Self-Efficacy and Functionality.

BACKGROUND: Low rates of participation and quality of life (QoL) and high rates of psychological distress are common in spinal cord injury (SCI) population. Research has supported the mediating role of self-efficacy and functionality in improving psychosocial outcomes. Furthermore, evidence supports the impact of physical activity (PA) on psychosocial variables, but little is known about the types and intensities of PA. The objective of this study was to determine whether functionality and/or general self-efficacy (GSE) mediate the relationships between the various types of PA: (1) lifestyle and (2) leisure-time physical activity (LTPA); and various intensities of PA: (1) mild, (2) moderate, and (3) heavy PA with participation, psychological distress, and perception of QoL. METHODS: The Physical Activity Recall Assessment for SCI, and measures of functionality, GSE, participation, psychological distress, and perception of QoL were administered to 159 participants. Path analysis was performed using Jeffrey's Amazing Statistics Program. RESULTS: GSE significantly mediated, and functionality partially significantly mediated, the relationship between LTPA and psychosocial outcomes. GSE and functionality did not mediate the relationship between lifestyle activity and psychosocial outcomes. CONCLUSIONS: It is recommended that people with SCI perform LTPA on a regular basis to achieve psychosocial benefits. These programs should be accompanied by strategies to improve GSE.

Return to work within a year after first stroke: blue and white collar workers comparison, predictors and causal mediation assessed during inpatient rehabilitation.

BACKGROUND: Most research focuses around impairments in body function and structure, with relatively only a small number exploring their social impact. OBJECTIVES: 1) compare characteristics for individuals who before stroke were blue collar vs. white collar workers 2) identify clinical, functional, and job-related factors associated with return to work within 1 year after discharge 3) identify specific ADL individual items (assessed at rehabilitation discharge) as return to work predictors and 4) identify return to work causal mediators. METHODS: Retrospective observational cohort study, analyzing adult patients with stroke admitted to rehabilitation between 2007 and 2021, including baseline Barthel Index (BI) and return to work assessments between 2008 and 2022. Kaplan-Meier survival curves and Cox proportional hazards were applied. Causal mediation analyses using 1000-bootstrapped simulations were performed. RESULTS: A total of 802 individuals were included (14.6% returned to work), 53.6% blue-collar and 46.4% white-collar. Blue-collar workers showed significantly higher proportion of ischemic stroke, diabetes, dyslipidemia, and hypertension.Individuals not returning to work presented a higher proportion of blue collar, dominant side affected, aphasia, lower BI scores, and larger length of stay (LOS). Multivariable Cox proportional hazards identified age at injury, aphasia, hypertension, and total discharge BI score (C-Index = 0.74). Univariable Cox models identified three independent BI items at all levels of independence: bathing (C-Index = 0.58), grooming (C-Index = 0.56) and feeding (C-Index = 0.59). BI efficiency (gain/LOS) was a causal mediator. CONCLUSION: Blue collar workers showed higher proportion of risk factors and comorbidities. Novel factors, predictors, and a return to work mediator were identified.

Long-term trajectories of community integration: identification, characterization, and prediction using inpatient rehabilitation variables.

BACKGROUND: Community integration (CI) is often regarded as the foundation of rehabilitation endeavors after stroke; nevertheless, few studies have investigated the relationship between inpatient rehabilitation (clinical and demographic) variables and long-term CI. OBJECTIVES: To identify novel classes of patients having similar temporal patterns in CI and relate them to baseline features. METHODS: Retrospective observational cohort study analyzing (n = 287) adult patients with stroke admitted to rehabilitation between 2003 and 2018, including baseline Functional Independence Measure (FIM) at discharge, follow-ups (m = 1264) of Community Integration Questionnaire (CIQ) between 2006 and 2022. Growth mixture models (GMMs) were fitted to identify CI trajectories, and baseline predictors were identified using multivariate logistic regression (reporting AUC) with 10-fold cross validation. RESULTS: Each patient was assessed at 2.7 (2.2-3.7), 4.4 (3.7-5.6), and 6.2 (5.4-7.4) years after injury, 66% had a fourth assessment at 7.9 (6.8-8.9) years. GMM identified three classes of trajectories.Lowest CI (n=105, 36.6%): The lowest mean total CIQ; highest proportion of dysphagia (47.6%) and aphasia (46.7%), oldest at injury, largest length of stay (LOS), largest time to admission, and lowest FIM.Highest CI (n=63, 21.9%): The highest mean total CIQ, youngest, shortest LOS, highest education (27% university) highest FIM, and Intermediate CI (n=119, 41.5%): Intermediate mean total CIQ and FIM scores. Age at injury OR: 0.89 (0.85-0.93), FIM OR: 1.04 (1.02-1.07), hypertension OR: 2.86 (1.25-6.87), LOS OR: 0.98 (0.97-0.99), and high education OR: 3.05 (1.22-7.65) predicted highest CI, and AUC was 0.84 (0.76-0.93). CONCLUSION: Novel clinical (e.g. hypertension) and demographic (e.g. education) variables characterized and predicted long-term CI trajectories.

Long-term prediction of functional independence using adjusted and unadjusted single items of the functional independence measure (FIM) at discharge from rehabilitation.

CONTEXT: Being able to survive in the long-term independently is of concern to patients with spinal cord injury (SCI), their relatives, and to those providing or planning health care, especially at rehabilitation discharge. Most previous studies have attempted to predict functional dependency in activities of daily living within one year after injury. OBJECTIVES: (1) build 18 different predictive models, each model using one FIM (Functional Independence Measure) item, assessed at discharge, as independent predictor of total FIM score at chronic phase (3-6 years post-injury) (2) build three different predictive models, using in each model an item from a different FIM domain with the highest predictive power obtained in objective (1) to predict "good" functional independence at chronic phase and (3) adjust the 3 models from objective (2) with known confounding factors. METHODS: This observational study included 461 patients admitted to rehabilitation between 2009 and 2019. We applied regression models to predict total FIM score and "good" functional independence (FIM motor score ≥ 65) reporting adjusted R2, odds ratios, ROC-AUC (95% CI) tested using 10-fold cross-validation. RESULTS: The top three predictors, each from a different FIM domain, were Toilet (adjusted R2 = 0.53, Transfers domain), Toileting (adjusted R2 = 0.46, Self-care domain), and Bowel (adjusted R2 = 0.35, Sphincter control domain). These three items were also predictors of "good" functional independence (AUC: 0.84-0.87) and their predictive power increased (AUC: 0.88-0.93) when adjusted by age, paraplegia, time since injury, and length of stay. CONCLUSIONS: Discharge FIM items accurately predict long-term functional independence.

Independent living, emotional well-being, and quality of life in people with disabilities: the mediator role of self-determination and satisfaction with participation.

Background: In the field of disability and rehabilitation, participation in society has become an important therapeutic objective due to its potential impact on rehabilitation, prognosis, and patient's mid and long-term well-being. However, only a few studies have explored this issue in relation with the subjective perspective of individuals with disabilities about their decision-making capacity and satisfaction with the activities in which they participate. Objective: Our aim is to analyze the relationship between participation in society of people with disabilities and both emotional well-being and quality of life, including variables about subjective perspective of participation (satisfaction) and the ability to decide and pursue their own preferences. Method: The cross-sectional study presented here includes 424 participants with disabilities over 18-years-old from Spain. This research is part of a larger ongoing longitudinal cohort study called Participa (https://participa.guttmann.com/en/). Participants were asked to complete several on-line surveys to explore quality of life, emotional well-being, participation in society, self-determination, and independent living. Results: The results revealed an association between the dimensions of participation satisfaction, self-determination, and levels of independent living with both quality of life and emotional well-being. Mediation models indicated that satisfaction and self-determination partially mediated the relationship between independent living and both quality of life and emotional well-being. Conclusion: The level of independent living, self-determination, and satisfaction with participation are fundamental aspects for promoting a high quality of life and emotional well-being in people with disabilities. These findings carry significant implications for health and social services, as well as policies guidelines, highlighting the need to prioritize empowerment and self-determination in all interventions designed for people with disabilities.

The impact of COVID-19 on home, social, and productivity integration of people with chronic traumatic brain injury or stroke living in the community.

ABSTRACT: Compare community integration of people with stroke or traumatic brain injury (TBI) living in the community before and during the coronavirus severe acute respiratory syndrome coronavirus 2 disease (COVID-19) when stratifying by injury: participants with stroke (G1) and with TBI (G2); by functional independence in activities of daily living: independent (G3) and dependent (G4); by age: participants younger than 54 (G5) and older than 54 (G6); and by gender: female (G7) and male (G8) participants.Prospective observational cohort studyIn-person follow-up visits (before COVID-19 outbreak) to a rehabilitation hospital in Spain and on-line during COVID-19.Community dwelling adults (≥18 years) with chronic stroke or TBI.Community integration questionnaire (CIQ) the total-CIQ as well as the subscale domains (ie, home-CIQ, social-CIQ, productivity CIQ) were compared before and during COVID-19 using the Wilcoxon ranked test or paired t test when appropriate reporting Cohen effect sizes (d). The functional independence measure was used to assess functional independence in activities of daily living.Two hundred four participants, 51.4% with stroke and 48.6% with TBI assessed on-line between June 2020 and April 2021 were compared to their own in-person assessments performed before COVID-19.When analyzing total-CIQ, G1 (d = -0.231), G2 (d = -0.240), G3 (d = -0.285), G5 (d = -0.276), G6 (d = -0.199), G7 (d = -0.245), and G8 (d = -0.210) significantly decreased their scores during COVID-19, meanwhile G4 was the only group with no significant differences before and during COVID-19.In productivity-CIQ, G1 (d = -0.197), G4 (d = -0.215), G6 (d = -0.300), and G8 (d = -0.210) significantly increased their scores, meanwhile no significant differences were observed in G2, G3, G5, and G7.In social-CIQ, all groups significantly decreased their scores: G1 (d = -0.348), G2 (d = -0.372), G3 (d = -0.437), G4 (d = -0.253), G5 (d = -0.394), G6 (d = -0.319), G7 (d = -0.355), and G8 (d = -0.365).In home-CIQ only G6 (d = -0.229) significantly decreased, no significant differences were observed in any of the other groups.The largest effect sizes were observed in total-CIQ for G3, in productivity-CIQ for G6, in social-CIQ for G3 and in home-CIQ for G6 (medium effect sizes).Stratifying participants by injury, functionality, age or gender allowed identifying specific CIQ subtotals where remote support may be provided addressing them.

Long-term trajectories of motor functional independence after ischemic stroke in young adults: Identification and characterization using inpatient baseline assessments.

BACKGROUND: Stroke is a major worldwide cause of serious long-term disability. Most previous studies addressing functional independence included only inpatients with limited follow-up. OBJECTIVE: To identify novel classes of patients having similar temporal patterns in motor functional independence and relate them to baseline clinical features. METHODS: Retrospective observational cohort study, data were obtained for n = 428 adult patients with ischemic stroke admitted to rehabilitation (March 2005-March 2020), including baseline clinical features and follow-ups of motor Functional Independence Measure (mFIM) categorized as poor, fair or good. Growth mixture models (GMMs) were fitted to identify classes of patients with similar mFIM trajectories. RESULTS: GMM identified three classes of trajectories (1,664 mFIM assessments):C1 (11.2 %), 97.9% having poor admission mFIM, at 4.93 years 61.1% still poor, with the largest percentage of hypertension, neglect, dysphagia, diabetes and dyslipidemia of all three classes.C2 (23.1%), 99% had poor admission mFIM, 25% poor discharge mFIM, the largest percentage of aphasia and greatest mFIM gain, at 4.93 years only 6.2% still poor.C3 (65.7%) the youngest, lowest NIHSS, 37.7% poor admission mFIM, 73% good discharge mFIM, only 4.6% poor discharge mFIM, 90% good at 4.93 years. CONCLUSIONS: GMM identified novel motor functional classes characterized by baseline features.

The impact of COVID-19 on community integration, quality of life, depression and anxiety in people with chronic spinal cord injury.

CONTEXT/OBJECTIVE: Compare community integration, quality of life, anxiety and depression of people with chronic spinal cord injury (SCI) living in the community before the outbreak of coronavirus SARS-CoV-2 disease (COVID-19) and during it. DESIGN: Prospective observational cohort study. SETTING: In-person follow-up visits (before COVID-19 outbreak) to a rehabilitation hospital in Spain and on-line during COVID-19. PARTICIPANTS: Community dwelling adults (≥ 18 years) with chronic SCI. OUTCOME MEASURES: Hospital Anxiety and Depression Scale (HADS), Community Integration Questionnaire (CIQ) and World Health Organization Quality of Life (WHOQOL-BREF) were compared using the Wilcoxon ranked test or paired t-test when appropriate. RESULTS: One hundred and seventy five people with SCI assessed on-line between June 2020 and November 2020 were compared to their own assessments before COVID-19. Participants reported significantly decreased Social Integration during COVID-19 compared to pre-pandemic scores (P = 0.037), with a small effect size (d = -0.15). Depression (measured using HADS) was significantly higher than before COVID-19 (P < 0.001) with a moderate effect size (d = -0.29). No significant differences were found in any of the 4 WHOQOL-BREF dimensions (Physical, Psychological, Social and Environmental).Nevertheless, when all participants were stratified in two groups according to their age at on-line assessment, the younger group (19-54 years, N = 85) scored lower during COVID-19 than before, in WHOQOL-BREF Physical (P = 0.004), (d = -0.30) and Psychological dimensions (P = 0.007) (d = -0.29). The older group (55-88 years, N = 0) reported no significant differences in any dimension. CONCLUSIONS: COVID-19 impacted HADS' depression and CIQ's social integration. Participants younger than 55 years were impacted in WHOQOL-BREF's physical and psychological dimensions, meanwhile participants older than 55, were not.

The impact of coronavirus disease 2019 on emotional and behavioral stress of informal family caregivers of individuals with stroke or traumatic brain injury at chronic phase living in a Mediterranean setting.

INTRODUCTION: Even in nonpandemic times, persons with disabilities experience emotional and behavioral disturbances which are distressing for them and for their close persons. We aimed at comparing the levels of stress in emotional and behavioral aspects, before and during coronavirus disease 2019 (COVID-19), as reported by informal family caregivers of individuals with chronic traumatic brain injury (TBI) or stroke living in the community, considering two different stratifications of the recipients of care (cause and injury severity). METHODS: We conducted a STROBE-compliant prospective observational study analyzing informal caregivers of individuals with stroke (IC-STROKE) or traumatic brain injury (IC-TBI). IC-STROKE and IC-TBI were assessed in-person before and during COVID-19 online, using the Head Injury Behavior Scale (HIBS). The HIBS comprises behavioral and emotional subtotals (10 items each) and a total-HIBS. Comparisons were performed using the McNemar's test, Wilcoxon signed-rank test or t-test. Recipients of care were stratified according to their injury severity using the National Institutes of Health Stroke Scale (NIHSS) and the Glasgow Coma Scale (GCS). RESULTS: One hundred twenty-two informal caregivers (62.3% IC-STROKE and 37.7% IC-TBI) were assessed online between June 2020 and April 2021 and compared to their own assessments performed in-person 1.74 ± 0.88 years before the COVID-19 lockdown. IC-STROKE significantly increased their level of stress during COVID-19 in five emotional items (impatience, frequent complaining, often disputes topics, mood change and overly sensitive) and in one behavioral item (overly dependent). IC-TBI stress level only increased in one behavioral item (impulsivity). By injury severity, (i) mild (14.7%) showed no significant differences in emotional and behavioral either total-HIBS (ii) moderate (28.7%) showed significant emotional differences in two items (frequent complaining and mood change) and (iii) severe (56.6%) showed significant differences in emotional (often disputes topics) and behavioral (impulsivity) items. CONCLUSIONS: Our results suggest specific items in which informal caregivers could be supported considering cause or severity of the recipients of care.

Predictive models for independence after stroke rehabilitation: Maugeri external validation and development of a new model.

BACKGROUND: Many efforts have been devoted to identify predictors of functional outcomes after stroke rehabilitation. Though extensively recommended, there are very few external validation studies. OBJECTIVE: To externally validate two predictive models (Maugeri model 1 and model 2) and to develop a new model (model 3) that estimate the probability of achieving improvement in physical functioning (primary outcome) and a level of independence requiring no more than supervision (secondary outcome) after stroke rehabilitation. METHODS: We used multivariable logistic regression analysis for validation and development. Main outcome measures were: Functional Independence Measure (FIM) (primary outcome), Functional Independence Staging (FIS) (secondary outcome) and Minimal Clinically Important Difference (MCID). RESULTS: Patients with stroke admitted to a rehabilitation center from 2006 to 2019 were retrospectively studied (N = 710). Validation of Maugeri models confirmed very good discrimination: for model 1 AUC = 0.873 (0.833-0.915) and model 2 AUC = 0.803 (0.749-0.857). The Hosmer-Lemeshow χ2 was 6.07(p = 0.63) and 8.91(p = 0.34) respectively. Model 3 yielded an AUC = 0.894 (0.857-0.929) (primary outcome) and an AUC = 0.769 (0.714-0.825) (MCID). CONCLUSIONS: Discriminative power of both Maugeri models was externally confirmed (in a 20 years younger population) and a new model (incorporating aphasia) was developed outperforming Maugeri models in primary outcome and MCID.

Relationships Between Functionality, Depression, and Anxiety With Community Integration and Quality of Life in Chronic Traumatic Spinal Cord Injury.

OBJECTIVES: The aims of the study were (1) to identify relationships between functional and psychological aspects with community integration and quality of life assessments in people with chronic traumatic spinal cord injury and (2) to analyze clinical and demographic predictors of quality of life dimensions. DESIGN: This is an observational cohort study, and correlation coefficients were calculated between the Functional Independence Measure, the Hospital Anxiety and Depression Scale, the Community Integration Questionnaire, and the World Health Organization Quality of Life-BREF dimensions (physical [D1], psychological [D2], social [D3], and environmental [D4]). Quality of life predictors were identified using multiple linear regression analyses. RESULTS: Nine hundred seventy-five people with traumatic spinal cord injury assessed since 2007-2020 were included. The Community Integration Questionnaire home integration correlated strongly with the Functional Independence Measure self-care (r = 0.74) and transfers (r = 0.62) for participants with tetraplegia. The specific Hospital Anxiety and Depression Scale items (known as the anhedonia subscale) correlated strongly with D1 (r = -0.65), D2 (r = -0.69), D3 (r = -0.53), and D4 (r = -0.51) for participants with paraplegia and D1 (r = -0.53), D2 (r = -0.61), D3 (r = -0.47), and D4 (r = -0.53) for participants with tetraplegia. The Hospital Anxiety and Depression Scale-depression was the most relevant predictor of D1 (ß = -0.61) and D2 (ß = -0.76). CONCLUSIONS: The Functional Independence Measure transfers and self-care were strongly associated with the Community Integration Questionnaire home integration (in participants with tetraplegia). Anhedonia was strongly related to all four World Health Organization Quality of Life-BREF Scale dimensions, being the Hospital Anxiety and Depression Scale-depression the most relevant predictor of D1 and D2. TO CLAIM CME CREDITS: Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME. CME OBJECTIVES: Upon completion of this article, the reader should be able to (1) Determine the associations between functional and psychological measures with community integration domains and quality of life from a multidimensional perspective (physical, psychological, social, and environmental) in persons with chronic traumatic paraplegia or tetraplegia living in the community; (2) Identify long-term clinical and demographic predictors of specific quality of life dimensions (e.g., physical and psychological) in persons with paraplegia or tetraplegia living in the community; and (3) Illustrate the strength of the identified associations and the impact of the quality of life predictors to suggest possible specific aspects to be addressed by professionals in clinical practice. LEVEL: Advanced. ACCREDITATION: The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Subacute ischemic stroke rehabilitation outcomes in working-age adults: The role of aphasia in cognitive functional independence.

BACKGROUND: About one-third of adult stroke patients suffer from aphasia when they are discharged from hospital. Aphasia seems to be a negative predictive factor affecting post-stroke functional recovery after rehabilitation, but this association has been scarcely addressed in previous research. OBJECTIVES: We aim to evaluate the impact of aphasia in cognitive functional outcomes in working-age first-ever ischemic stroke adults. METHODS: Retrospective observational cohort study. One hundred and thirty ischemic (≤ 64 years old) adult stroke patients (43.07% with aphasia) admitted to a rehabilitation center between 2007 and 2019 were analyzed. Univariate and multivariate linear regressions were performed using state-of-the-art variables (stroke severity, gender, age) extending them with potential confounders (e.g. diabetes, medication for depression). The cognitive subtest (C-FIM) of the Functional Independence Measure (FIM) at discharge and C-FIM gain were the dependent variables. RESULTS: Patients with aphasia (PWA) had lower C-FIM scores at admission and at discharge. No significant differences were observed in relation to C-FIM gain, C-FIM efficiency, C-FIM effectiveness and length of stay (LOS).C-FIM gain was remarkably higher though non-significant (p = .059) in PWA. Regression analysis identifies C-FIM at admission and aphasia as significant predictors of C-FIM at discharge (R2 = 0.72). The same variables plus taking medication for depression predicted C-FIM gain (R2 = 0.38). CONCLUSIONS: We identified no significant differences in C-FIM outcomes (gain, efficiency and effectiveness) either in LOS between PWA and patients without aphasia, though C-FIM differences were significant at admission and discharge. Aphasia was a significant predictor of C-FIM gain and C-FIM at discharge.

Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit.

BACKGROUND: The World Health Organization's International Classification of Functioning Disability and Health (ICF) conceptualizes disability not solely as a problem that resides in the individual, but as a health experience that occurs in a context. Word embeddings build on the idea that words that occur in similar contexts tend to have similar meanings. In spite of both sharing "context" as a key component, word embeddings have been scarcely applied in disability. In this work, we propose social media (particularly, Reddit) to link them. OBJECTIVE: The objective of our study is to train a model for generating word associations using a small dataset (a subreddit on disability) able to retrieve meaningful content. This content will be formally validated and applied to the discovery of related terms in the corpus of the disability subreddit that represent the physical, social, and attitudinal environment (as defined by a formal framework like the ICF) of people with disabilities. METHODS: Reddit data were collected from pushshift.io with the pushshiftr R package as a wrapper. A word2vec model was trained with the wordVectors R package using the disability subreddit comments, and a preliminary validation was performed using a subset of Mikolov analogies. We used Van Overschelde's updated and expanded version of the Battig and Montague norms to perform a semantic categories test. Silhouette coefficients were calculated using cosine distance from the wordVectors R package. For each of the 5 ICF environmental factors (EF), we selected representative subcategories addressing different aspects of daily living (ADLs); then, for each subcategory, we identified specific terms extracted from their formal ICF definition and ran the word2vec model to generate their nearest semantic terms, validating the obtained nearest semantic terms using public evidence. Finally, we applied the model to a specific subcategory of an EF involved in a relevant use case in the field of rehabilitation. RESULTS: We analyzed 96,314 comments posted between February 2009 and December 2019, by 10,411 Redditors. We trained word2vec and identified more than 30 analogies (eg, breakfast - 8 am + 8 pm = dinner). The semantic categorization test showed promising results over 60 categories; for example, s(A relative)=0.562, s(A sport)=0.475 provided remarkable explanations for low s values. We mapped the representative subcategories of all EF chapters and obtained the closest terms for each, which we confirmed with publications. This allowed immediate access (≤ 2 seconds) to the terms related to ADLs, ranging from apps "to know accessibility before you go" to adapted sports (boccia). For example, for the support and relationships EF subcategory, the closest term discovered by our model was "resilience," recently regarded as a key feature of rehabilitation, not yet having one unified definition. Our model discovered 10 closest terms, which we validated with publications, contributing to the "resilience" definition. CONCLUSIONS: This study opens up interesting opportunities for the exploration and discovery of the use of a word2vec model that has been trained with a small disability dataset, leading to immediate, accurate, and often unknown (for authors, in many cases) terms related to ADLs within the ICF framework.

Predicting length of stay in patients admitted to stroke rehabilitation with severe and moderate levels of functional impairments.

Severe stroke patients are known to be associated with larger rehabilitation length of stay (LOS) but other factors besides severity may be contributing. We aim to identify LOS predictors within a population of mostly severe patients and analyze the impact of socioeconomic situation in functionality at admission.A retrospective observational cohort study was conducted including 172 inpatients admitted to a rehabilitation center between 2007 and 2019. Associations with LOS were examined among 30 potential predictor variables using bivariate correlations. Significantly correlated (P < .002, Bonferroni adjustment) variables were entered into 9 different multiple linear regression models.No mild participants were included, 63.37% severe and 36.63% moderate. Most significant LOS determinants were: 1) total functional independence measure (FIM) (P < .001) and hemiparesis (P = .0108) (adjusted R = 0.24), 2) cognitive FIM (P = .002) and severity (P = .001) (adjusted R = 0.22), and 3) home accessibility (P = .043) and hemiparesis (P = 0.032) (adjusted R = 0.19).Known LOS predictors (e.g., depression, ataxia) within the full stroke severities were not found significant in our dataset.Socioeconomic situation was found moderately correlated with total FIM (r = -0.32, P < .0001).When stratifying the patients' socioeconomic situation into mild, important, and severe social risk, their respective median total FIM at admission were 61.5, 50, and 41, with significant differences between the mild and important group (P < .001); also significant differences were found between mild and severe groups (P < .001).A few of the variables identified in the literature as significant predictors of LOS within the full stroke population were also significant for our dataset (National Institutes of Health Stroke Scale, FIM, home accessibility) explaining less than 25% of the LOS variance. Most of the 30 analyzed known predictors were not significant (e.g., depression, age, recurrent stroke, ataxia, orientation, verbal communication, etc) suggesting that factors outside functional, socioeconomic, medical, and demographics not included in this study (e.g., rehabilitation sessions intensity) have important influences on LOS for severe patients.Patients at mild social risk obtained significantly higher total FIM at admission than patients at important and severe social risk. The importance of socioeconomic situation has been scarcely studied in the literature in relation to functionality at admission; our results suggest that it requires to be considered.

Evidence of chronic stroke rehabilitation interventions in activities and participation outcomes: systematic review of meta-analyses of randomized controlled trials.

INTRODUCTION: Stroke is a leading cause of long-term disabilities worldwide. A great deal of meta-analyses of randomized controlled trials (RCTs) address rehabilitation in chronic stroke, several of them with focus on activities and participation, considered critical outcomes of successful rehabilitation. Nevertheless, substantial heterogeneity might exist between studies, the reported associations may be causal, but they might also be flawed, as inherent study biases such as residual confounding and selective reporting of positive results may exaggerate the effect of interventions in chronic phase. Furthermore, most RCTs might focus on specific rehabilitation domains, not paying the same attention to others. EVIDENCE ACQUSITION: Formal evaluation of published systematic reviews of meta-analyses (January 2008 to November 2018) of rehabilitation in chronic phase to 1) assess the strength of evidence: participants, publication biases, heterogeneity, prediction intervals (PIs) 2) grade the evidence to perform qualitative analysis on effects sizes and heterogeneity, 3) perform meta-regressions and sensitivity analysis on relevant covariates 4) map outcomes to activities and participation domain of the World Health Organization's International Classification of Functioning, Disability and Health (ICF). Systematic review on meta-analyses of RCTs addressing activities and participation will be performed in Medline, Web of Science, Scopus, Cochrane and Google Scholar. EVIDENCE SYNTHESIS: A total of 97 meta-analyses on 31 different rehabilitation interventions involving 25,275 participants were included. Thirty-nine meta-analyses (40.74%) reported statistically significant findings (P<0.05) in both fixed and random effects sizes. Their magnitude was small in 62.96% cases, moderate in 19.75% and large in 17.28%. Heterogeneity was low in 48,48%, moderate and high in 21.2%. The mean number of participants is 815, far away from the convincing, highly suggestive, or suggestive required evidence levels. All PIs include the null value. Mobility is addressed by 87% of the identified meta-analyses, with 75% of them focusing exclusively in mobility. CONCLUSIONS: The findings of this study show a clear need for high quality RCTs examining the effectiveness of rehabilitation interventions addressing activities and participation. The ICF framework may contribute to a holistic approach in chronic stroke rehabilitation, including not only motor functioning but also the ability to participate in everyday life activities.

Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective.

BACKGROUND: Stroke is the worldwide leading cause of long-term disabilities. Women experience more activity limitations, worse health-related quality of life, and more poststroke depression than men. Twitter is increasingly used by individuals to broadcast their day-to-day happenings, providing unobtrusive access to samples of spontaneously expressed opinions on all types of topics and emotions. OBJECTIVE: This study aimed to consider the raw frequencies of words in the collection of tweets posted by a sample of stroke survivors and to compare the posts by gender of the survivor for 8 basic emotions (anger, fear, anticipation, surprise, joy, sadness, trust and disgust); determine the proportion of each emotion in the collection of tweets and statistically compare each of them by gender of the survivor; extract the main topics (represented as sets of words) that occur in the collection of tweets, relative to each gender; and assign happiness scores to tweets and topics (using a well-established tool) and compare them by gender of the survivor. METHODS: We performed sentiment analysis based on a state-of-the-art lexicon (National Research Council) with syuzhet R package. The emotion scores for men and women were first subjected to an F-test and then to a Wilcoxon rank sum test. We extended the emotional analysis, assigning happiness scores with the hedonometer (a tool specifically designed considering Twitter inputs). We calculated daily happiness average scores for all tweets. We created a term map for an exploratory clustering analysis using VosViewer software. We performed structural topic modelling with stm R package, allowing us to identify main topics by gender. We assigned happiness scores to all the words defining the main identified topics and compared them by gender. RESULTS: We analyzed 800,424 tweets posted from August 1, 2007 to December 1, 2018, by 479 stroke survivors: Women (n=244) posted 396,898 tweets, and men (n=235) posted 403,526 tweets. The stroke survivor condition and gender as well as membership in at least 3 stroke-specific Twitter lists of active users were manually verified for all 479 participants. Their total number of tweets since 2007 was 5,257,433; therefore, we analyzed the most recent 15.2% of all their tweets. Positive emotions (anticipation, trust, and joy) were significantly higher (P<.001) in women, while negative emotions (disgust, fear, and sadness) were significantly higher (P<.001) in men in the analysis of raw frequencies and proportion of emotions. Happiness mean scores throughout the considered period show higher levels of happiness in women. We calculated the top 20 topics (with percentages and CIs) more likely addressed by gender and found that women's topics show higher levels of happiness scores. CONCLUSIONS: We applied two different approaches-the Plutchik model and hedonometer tool-to a sample of stroke survivors' tweets. We conclude that women express positive emotions and happiness much more than men.

Sensory Symptom Profiles of Patients With Neuropathic Pain After Spinal Cord Injury.

AIM: Individuals experiencing neuropathic pain (NP) after spinal cord injury (SCI) present with a variety of pain descriptors in different combinations and at different intensities. These sensory features form distinct patterns, known as sensory symptom profiles. METHODS: In the present cross-sectional study, we have used a multivariate statistical method (multiple correspondence analysis) to categorize the sensory symptom profiles of a cohort of 338 patients with at-level or below-level NP after SCI. We also investigated possible associations between positive neuropathic symptoms and features of the neurological lesion. RESULTS: The majority of participants had a combination of pain descriptors, with 59% presenting with 3 or 4 pain subtypes. No significant associations were found between specific pain profiles and etiology or clinical degree of the neurological lesion. Furthermore, similar symptom profiles were seen in patients with at-level and below-level NP. The most frequent pattern observed in patients with cervical SCI consisted predominantly of electric shocks and tingling, without burning, pressure pain, or allodynia. CONCLUSIONS: Classification of SCI-NP patients into the 5 groups identified in the present study based on their distinct sensory symptom profiles may allow identification of those most likely to respond to a specific analgesic approach.

Depression in Individuals With Traumatic and Nontraumatic Spinal Cord Injury Living in the Community.

OBJECTIVE: To assess depression in a sample of individuals with spinal cord injury (SCI) living in the community, and to determine the prevalence of probable major depressive disorder (PMDD) among those with traumatic spinal cord injury (T-SCI) and those with nontraumatic spinal cord injury (NT-SCI). DESIGN: Cross-sectional. SETTING: Data were collected on individuals with SCI now living in the community, who completed a comprehensive follow-up assessment at the hospital. PARTICIPANTS: Individuals with T-SCI or NT-SCI (N=831) completed the Patient Health Questionnaire-9 (PHQ-9) and were included. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: The PHQ-9 was used to detect the presence of PMDD and to measure the severity of the depression. RESULTS: The most frequent etiology of SCI was T-SCI (66.9%). Overall, 16.2% of participants met the criteria for PMDD; however, a higher prevalence was noted for individuals with NT-SCI (21.1%) than for individuals with T-SCI (13.8%). Risk factors between T-SCI and NT-SCI did not differ greatly. Female sex, chronic pain, and lower levels of/difficulties in participation were associated with the presence of PMDD. CONCLUSIONS: PMDD appears to occur at a higher rate in individuals with NT-SCI, with greater symptom severity. The finding that problems with participation are directly associated with depression raises the need for specific treatment goals, with the aim of empowering individuals with SCI to reintegrate into the community. Potential stress factors (eg, environmental barriers, limited participation options) should be addressed accordingly.