Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test.

A popular and widely suggested measure for assessing unilateral hand motor skills in stroke patients is the box and block test (BBT). Our study aimed to create an augmented reality enhanced version of the BBT (AR-BBT) and evaluate its correlation to the original BBT for stroke patients. Following G-power analysis, clinical examination, and inclusion-exclusion criteria, 31 stroke patients were included in this study. AR-BBT was developed using the Open Source Computer Vision Library (OpenCV). The MediaPipe's hand tracking library uses a palm and a hand landmark machine learning model to detect and track hands. A computer and a depth camera were employed in the clinical evaluation of AR-BBT following the principles of traditional BBT. A strong correlation was achieved between the number of blocks moved in the BBT and the AR-BBT on the hemiplegic side (Pearson correlation = 0.918) and a positive statistically significant correlation (p = 0.000008). The conventional BBT is currently the preferred assessment method. However, our approach offers an advantage, as it suggests that an AR-BBT solution could remotely monitor the assessment of a home-based rehabilitation program and provide additional hand kinematic information for hand dexterities in AR environment conditions. Furthermore, it employs minimal hardware equipment.

Early functional factors for predicting outcome of independence in daily living after stroke: a decision tree analysis.

OBJECTIVE: This study aimed to investigate the predictive functional factors influencing the acquisition of basic activities of daily living performance abilities during the early stages of stroke rehabilitation using classification and regression analysis trees. METHODS: The clinical data of 289 stroke patients who underwent rehabilitation during hospitalization (164 males; mean age: 62.2 ± 13.9 years) were retrospectively collected and analysed. The follow-up period between admission and discharge was approximately 6 weeks. Medical records, including demographic characteristics and various functional assessments with item scores, were extracted. The modified Barthel Index on discharge served as the target outcome for analysis. A "good outcome" was defined as a modified Barthel Index score ≥ 75 on discharge, while a modified Barthel Index score < 75 was classified as a "poor outcome." RESULTS: Two classification and regression analysis tree models were developed. The first model, predicting activities of daily living outcomes based on early motor functions, achieved an accuracy of 92.4%. Among patients with a "good outcome", 70.9% exhibited (i) ≥ 4 points in the "sitting-to-standing" category in the motor assessment scale and (ii) 32 points on the Berg Balance Scale score. The second model, predicting activities of daily living outcome based on early cognitive functions, achieved an accuracy of 82.7%. Within the "poor outcome" group, 52.2% had (i) ≤ 21 points in the "visuomotor organization" category of Lowenstein Occupational Therapy Cognitive Assessment, (ii) ≤ 1 point in the "time orientation" category of the Mini Mental State Examination. CONCLUSION: The ability to perform "sitting-to-standing" and visuomotor organization functions at the beginning of rehabilitation emerged as the most significant predictors for achieving successful basic activities of daily living on discharge after stroke.

Rehabilitation Assessment System for Stroke Patients Based on Fusion-Type Optoelectronic Plethysmography Device and Multi-Modality Fusion Model: Design and Validation.

This study aimed to propose a portable and intelligent rehabilitation evaluation system for digital stroke-patient rehabilitation assessment. Specifically, the study designed and developed a fusion device capable of emitting red, green, and infrared lights simultaneously for photoplethysmography (PPG) acquisition. Leveraging the different penetration depths and tissue reflection characteristics of these light wavelengths, the device can provide richer and more comprehensive physiological information. Furthermore, a Multi-Channel Convolutional Neural Network-Long Short-Term Memory-Attention (MCNN-LSTM-Attention) evaluation model was developed. This model, constructed based on multiple convolutional channels, facilitates the feature extraction and fusion of collected multi-modality data. Additionally, it incorporated an attention mechanism module capable of dynamically adjusting the importance weights of input information, thereby enhancing the accuracy of rehabilitation assessment. To validate the effectiveness of the proposed system, sixteen volunteers were recruited for clinical data collection and validation, comprising eight stroke patients and eight healthy subjects. Experimental results demonstrated the system's promising performance metrics (accuracy: 0.9125, precision: 0.8980, recall: 0.8970, F1 score: 0.8949, and loss function: 0.1261). This rehabilitation evaluation system holds the potential for stroke diagnosis and identification, laying a solid foundation for wearable-based stroke risk assessment and stroke rehabilitation assistance.

Influence of Socioeconomic Status on Functional Outcomes After Stroke: A Systematic Review and Meta-Analysis.

BACKGROUND: This review aimed to quantify the impact of socioeconomic status on functional outcomes from stroke and identify the socioeconomic status indicators that exhibit the highest magnitude of association. METHODS AND RESULTS: We performed a systematic literature search across Medline and Embase from inception to May 2022, to identify observational studies (n≥100, and in English). Risk of bias was assessed using the modified Newcastle Ottawa Scale. Random effects meta-analysis was used to pool data. We included 19 studies (157 715 patients, 47.7% women) reporting functional outcomes measured with modified Rankin Scale or Barthel index, with 10 assessed as low risk of bias. Measures of socioeconomic status reported were education (11 studies), income (8), occupation (4), health insurance status (3), and neighborhood socioeconomic deprivation (3). Pooled data suggested that low socioeconomic status was significantly associated with poor functional outcomes, including incomplete education or below high school level versus high school attainment and above (odds ratio [OR], 1.66 [95% CI, 1.40-1.95]), lowest income versus highest income (OR, 1.36 [95% CI, 1.02-1.83]), a manual job/being unemployed versus a nonmanual job/working (OR, 1.62 [95% CI, 1.29-2.02]), and living in the most disadvantaged socioeconomic neighborhood versus the least disadvantaged (OR, 1.55 [95% CI, 1.25-1.92]). Low health insurance status was also associated with an increased risk of poor functional outcomes (OR, 1.32 [95% CI, 0.95-1.84]), although this was association was not statistically significant. CONCLUSIONS: Despite great strides in stroke treatment in the past decades, social disadvantage remains a risk factor for poor functional outcome after an acute stroke. Further research is needed to better understand causal mechanisms and disparities.

Exploring patients' experience using PROMs within routine post-discharge follow-up assessment after stroke: a mixed methods approach.

BACKGROUND: Patient Reported Outcomes Measures (PROMs) are being used increasingly to measure health problems in stroke clinical practice. However, the implementation of these PROMs in routine stroke care is still in its infancy. To understand the value of PROMs used in ischemic stroke care, we explored the patients' experience with PROMs and with the consultation at routine post-discharge follow-up after stroke. METHODS: In this prospective mixed methods study, patients with ischemic stroke completed an evaluation questionnaire about the use of PROMs and about their consultation in two Dutch hospitals. Additionally, telephone interviews were held to gain in-depth information about their experience with PROMs. RESULTS: In total, 63 patients completed the evaluation questionnaire of which 10 patients were also interviewed. Most patients (82.2-96.6%) found completing the PROMs to be feasible and relevant. Half the patients (49.2-51.6%) considered the PROMs useful for the consultation and most patients (87.3-96.8%) reported the consultation as a positive experience. Completing the PROMs provided 51.6% of the patients with insight into their stroke-related problems. Almost 75% of the patients found the PROMs useful in giving the healthcare provider greater insight, and 60% reported discussing the PROM results during the consultation. Interviewed patients reported the added value of PROMs, particularly when arranging further care, in gaining a broader insight into the problems, and in ensuring all important topics were discussed during the consultation. CONCLUSIONS: Completing PROMs appears to be feasible for patients with stroke attending post-discharge consultation; the vast majority of patients experienced added value for themselves or the healthcare provider. We recommend that healthcare providers discuss the PROM results with their patients to improve the value of PROMs for the patient. This could also improve the willingness to complete PROMs in the future.

Stroke rehabilitation pathways during the first year: A cost-effectiveness analysis from a cohort of 460 individuals.

BACKGROUND: Stroke burden challenges global health, and social and economic policies. Although stroke recovery encompasses a wide range of care, including in-hospital, outpatient, and community-based rehabilitation, there are no published cost-effectiveness studies of integrated post-stroke pathways. OBJECTIVE: To determine the most cost-effective rehabilitation pathway during the first 12 months after a first-ever stroke. METHODS: A cohort of people in the acute phase of a first stroke was followed after hospital discharge; 51 % women, mean (SD) age 74.4 (12.9) years, mean National Institute of Health Stroke Scale score 11.7 (8.5) points, and mode modified Rankin Scale score 3 points. We developed a decision tree model of 9 sequences of rehabilitation care organised in 3 stages (3, 6 and 12 months) through a combination of public, semi-public and private entities, considering both the individual and healthcare service perspectives. Health outcomes were expressed as quality-adjusted life years (QALY) over a 1-year time horizon. Costs included healthcare, social care, and productivity losses. Sensitivity analyses were conducted on model input values. RESULTS: From the individual perspective, pathway 3 (Short-term Inpatient Unit ¼ Community Clinic) was the most cost-effective, followed by pathway 1 (Rehabilitation Centre ¼ Community Clinic). From the healthcare service perspective, pathway 3 was the most cost-effective followed by pathway 7 (Outpatient Hospital ¼ Private Clinic). All other pathways were considered strongly dominated and excluded from the analysis. The total 1-year mean cost ranged between €12104 and €23024 from the individual's perspective and between €10992 and €31319 from the healthcare service perspective. CONCLUSION: Assuming a willingness-to-pay threshold of one times the national gross domestic product (€20633/QALY), pathway 3 (Short-term Inpatient Unit ¼ Community Clinic) was the most cost-effective strategy from both the individual and healthcare service perspectives. Rehabilitation pathway data contribute to the development of a future integrated care system adapted to different stroke profiles.

Comprehensive quality assessment for aphasia rehabilitation after stroke: protocol for a multicentre, mixed-methods study.

INTRODUCTION: People with aphasia following stroke experience disproportionally poor outcomes, yet there is no comprehensive approach to measuring the quality of aphasia services. The Meaningful Evaluation of Aphasia SeRvicES (MEASuRES) minimum dataset was developed in partnership with people with lived experience of aphasia, clinicians and researchers to address this gap. It comprises sociodemographic characteristics, quality indicators, treatment descriptors and outcome measurement instruments. We present a protocol to pilot the MEASuRES minimum dataset in clinical practice, describe the factors that hinder or support implementation and determine meaningful thresholds of clinical change for core outcome measurement instruments. METHODS AND ANALYSIS: This research aims to deliver a comprehensive quality assessment toolkit for poststroke aphasia services in four studies. A multicentre pilot study (study 1) will test the administration of the MEASuRES minimum dataset within five Australian health services. An embedded mixed-methods process evaluation (study 2) will evaluate the performance of the minimum dataset and explore its clinical applicability. A consensus study (study 3) will establish consumer-informed thresholds of meaningful change on core aphasia outcome constructs, which will then be used to establish minimal important change values for corresponding core outcome measurement instruments (study 4). ETHICS AND DISSEMINATION: Studies 1 and 2 have been registered with the Australian and New Zealand Clinical Trial Registry (ACTRN12623001313628). Ethics approval has been obtained from the Royal Brisbane and Women's Hospital (HREC/2023/MNHB/95293) and The University of Queensland (2022/HE001946 and 2023/HE001175). Study findings will be disseminated through peer-reviewed publications, conference presentations and engagement with relevant stakeholders including healthcare providers, policy-makers, stroke and rehabilitation audit and clinical quality registry custodians, consumer support organisations, and individuals with aphasia and their families.

Assessment of rehabilitation following acute ischaemic stroke in China: a registry-based retrospective observational study.

OBJECTIVES: This study aimed to describe the frequency, determinants and outcomes for assessment of patients who had an acute ischaemic stroke (AIS) for rehabilitation during hospitalisation in China. DESIGN: A registry-based retrospective observational study. STUDY DESIGN AND SETTINGS: Data regarding assessment or rehabilitation were extracted from the Chinese Stroke Center Alliance database from 1 August 2015 to 31 July 2019. Univariate and multivariate analyses were conducted to identify patient and hospital characteristics associated with rehabilitation assessment during acute hospitalisation as well as discharge outcomes. STUDY COHORT: We included 837 897 patients who had a stroke in this study with patient characteristics, admission location, medical history, hospital characteristics and hospital designation. PRIMARY AND SECONDARY OUTCOME MEASURES: Rehabilitation assessment and discharge outcomes. RESULTS: Among 837 897 patients who had a stroke admitted to 1473 hospitals, 615 991 (73.5%) underwent rehabilitation assessment. There were significant variations in the rates of rehabilitation assessment across hospitals (IQR 61.3% vs 92.9%). According to multivariate analysis, guideline recommended care delivery was associated with a higher rehabilitation assessment rate, whereas high/low body mass index, ambulation (OR 0.88; 95% CI 0.87 to 0.90), history of stroke (OR 0.94; 95% CI 0.93 to 0.95), coronary heart disease (OR 0.84; 95% CI 0.82 to 0.85) and atrial fibrillation (OR 0.91; 95% CI 0.89 to 0.94) were associated with a lower rate. Additionally, rehabilitation assessment during hospitalisation was significantly associated with lower in-hospital mortality (OR 0.38; 95% CI 0.35 to 0.41) and a higher probability of discharge to a rehabilitation centre (OR 2.66; 95% CI 2.5 to 2.82). CONCLUSIONS: Nearly one-quarter of patients who had an AIS do not undergo documented rehabilitation assessment and compliance across hospitals varies. Thus, it is necessary to improve adherence to rehabilitation assessment to improve the quality of medical care for patients who had an AIS.

Economic Evaluation of an Enhanced Post-Discharge Home-Based Care Program for Stroke Survivors.

OBJECTIVES: To examine the cost-effectiveness of an enhanced postdischarge home-based care program for stroke survivors compared with usual care. METHODS: This was a trial-based economic evaluation study. One hundred and sixteen patients with ischemic stroke were recruited from neurology units in a Chinese hospital and randomized into intervention (n = 58) or usual care groups (n = 58). The intervention commenced with predischarge planning and transitioned to home follow-up postdischarge. Trained nurse case managers supported by an interdisciplinary team provided comprehensive assessment, individualized goal setting, and skill training to support home-based rehabilitation for intervention group participants. Standard care was provided to usual care group participants. Total cost and quality-adjusted life-years gained at 3-month (T1), 6-month (T2), and 12-month (T3) follow-ups were calculated. The incremental cost-effectiveness ratios between the groups were obtained. RESULTS: The intervention group showed a significant increase in utility compared with the usual care group at T1 (P = .003), T2 (P = .007), and T3 (P < .001). The average total QALY gain from baseline for the intervention group was higher than for the usual care group at all time points. The likelihood of being cost-effective ranged from 61.9% to 67.2% from the provider perspective, and from 59.7% to 66.8% from the societal perspective. CONCLUSIONS: The results showed that the intervention program was cost-effective with significantly higher quality-adjusted life-years for stroke survivors when compared with usual care. It provides economic evidence to support the development of home-based stroke rehabilitation program, especially in the low- and middle-income countries.

An Algorithm for Activity Recognition and Assessment of Adults Poststroke.

IMPORTANCE: Stroke is the leading cause of long-term disability in the United States. Providers have no robust tools to objectively and accurately measure the activity of people with stroke living at home. OBJECTIVE: To explore the integration of validated upper extremity assessments poststroke within an activity recognition system. DESIGN: Exploratory descriptive study using data previously collected over 3 mo to report on algorithm testing and assessment integration. SETTING: Data were collected in the homes of community-dwelling participants. PARTICIPANTS: Participants were at least 6 mo poststroke, were able to ambulate with or without an assistive device, and self-reported some difficulty using their arm in everyday activities. OUTCOMES AND MEASURES: The activity detection algorithm's accuracy was determined by comparing its activity labels with manual labels. The algorithm integrated assessment by describing the quality of upper extremity movement, which was determined by reporting extent of reach, mean and maximum speed during movement, and smoothness of movement. RESULTS: Sixteen participants (9 women, 7 men) took part in this study, with an average age of 63.38 yr (SD = 12.84). The algorithm was highly accurate in correctly identifying activities, with 87% to 95% accuracy depending on the movement. The algorithm was also able to detect the quality of movement for upper extremity movements. CONCLUSIONS AND RELEVANCE: The algorithm was able to accurately identify in-kitchen activities performed by adults poststroke. Information about the quality of these movements was also successfully calculated. This algorithm has the potential to supplement clinical assessments in treatment planning and outcomes reporting. Plain-Language Summary: This study shows that clinical algorithms have the potential to inform occupational therapy practice by providing clinically relevant data about the in-home activities of adults poststroke. The algorithm accurately identified activities that were performed in the kitchen by adults poststroke. The algorithm also identified the quality of upper extremity movements of people poststroke who were living at home.

Spatial Neglect: An Exploration of Clinical Assessment Behaviour in Stroke Rehabilitation.

OBJECTIVE: There is a large gap between evidence-based recommendations for spatial neglect assessment and clinical practice in stroke rehabilitation. We aimed to describe factors that may contribute to this gap, clinician perceptions of an ideal assessment tool, and potential implementation strategies to change clinical practice in this area. DESIGN: Qualitative focus group investigation. Focus group questions were mapped to the Theoretical Domains Framework and asked participants to describe their experiences and perceptions of spatial neglect assessment. SETTING: Online stroke rehabilitation educational bootcamp. PARTICIPANTS: A sample of 23 occupational therapists, three physiotherapists, and one orthoptist that attended the bootcamp. INTERVENTION: Prior to their focus group, participants watched an hour-long educational session about spatial neglect. MAIN MEASURES: A deductive analysis with the Theoretical Domains Framework was used to describe perceived determinants of clinical spatial neglect assessment. An inductive thematic analysis was used to describe perceptions of an ideal assessment tool and practice-change strategies in this area. RESULTS: Participants reported that their choice of spatial neglect assessment was influenced by a belief that it would positively impact the function of people with stroke. However, a lack of knowledge about spatial neglect assessment appeared to drive low clinical use of standardised functional assessments. Participants recommended open-source online education involving a multidisciplinary team, with live-skill practice for the implementation of spatial neglect assessment tools. CONCLUSIONS: Our results suggest that clinicians prefer functional assessments of spatial neglect, but multiple factors such as knowledge, training, and policy change are required to enable their translation to clinical practice.

Unilateral Spatial Neglect May Not Be Detected by Performance-Based Functional Neglect Assessment.

IMPORTANCE: Unilateral spatial neglect (neglect) poststroke is disabling. It is critical that people with neglect are identified so that treatment can be provided to maximize independence. However, there is some evidence to suggest that existing assessments may not adequately measure neglect. It is unclear whether assessments also fail to identify people with neglect entirely. OBJECTIVE: To determine whether there are stroke survivors who self-report neglect symptoms that are not detected by therapist-rated assessments and to compare self-report and therapist-ratings. DESIGN: Cross-sectional study. SETTING: U.S. university research center. PARTICIPANTS: Unilateral stroke survivors (N = 133). INTERVENTION: Not applicable. OUTCOMES AND MEASURES: The Catherine Bergego Scale (CBS) was administered to participants and scored by a trained occupational therapist. The parallel self-evaluation anosognosia form was also administered to participants to self-report and rate neglect symptoms. RESULTS: Forty-eight participants (36.1%) were classified as without neglect on the basis of therapist-rated total CBS scores, yet 30 (62.5%) of these 48 participants reported symptoms of neglect on the CBS self-evaluation anosognosia form. There was a significant difference (p < .001) between therapist-rated and self-rated total CBS scores. CONCLUSIONS AND RELEVANCE: Our results indicate that many stroke survivors report some level of disability associated with neglect yet do not meet the criteria to be classified as having neglect according to a commonly used therapist-rated performance-based measure. Plain-Language Summary: The findings of this study contribute to the evidence that existing assessments used by occupational therapists to measure performance-based neglect may not always detect neglect symptoms comprehensively in people poststroke. The finding also suggest that we may be missing neglect symptoms entirely. Occupational therapists should consider using various methods to assess for neglect, including patient self-report and comprehensive occupational profiles. Clinicians should also thoroughly screen all clients with stroke for neglect, regardless of lesion location.

The minimal important difference for the Postural Assessment Scale for Stroke Patients in the subacute stage.

BACKGROUND: The minimal important difference (MID) of the Postural Assessment Scale for Stroke Patients (PASS) remains unknown, limiting the interpretation of change scores. OBJECTIVES: To estimate the MID of the PASS in patients with subacute stroke. METHODS: Data at admission and discharge for 240 participants were retrieved from a longitudinal study. The "mobility" item of the Barthel Index was used as the anchor for indicating the improvement of posture control. Receiver operating characteristic (ROC) method was used to estimate the anchor-based MID of the PASS. RESULTS: The ROC method identified a MID of 3.0 points, with a sensitivity of 81.0 % and a specificity of 75.6 %. CONCLUSION: The MID of the PASS was 3.0 points, indicating that if a patient achieves an improvement of 3.0 or more points on the PASS, they have a clinically important improvement in posture control. Our results can help in interpreting change scores and aid in understanding the clinical values of treatment outcomes.

Intervention and assessment of executive dysfunction in patients with stroke: A scoping review.

Rehabilitation methods for executive dysfunction were focused on cognitive rehabilitation in patients with stroke and traumatic brain injury. However, no reviews have focused on the various rehabilitation methods and assessment of executive function in patients with only stroke and included various study designs. This study aimed to identify various interventions and assessments in patients with stroke and executive dysfunction via a scoping review. We searched for articles using the PubMed, Web of Science, and CINAHL databases. Two reviewers independently screened the articles based on the inclusion and exclusion criteria using the title, abstract, and full text. We subsequently determined the study design, sample size, time since stroke, intervention, and assessment. We extracted 1131 articles, of which 27 articles were selected. The study designs were randomized controlled trials (81.5%), pilot studies (11.1%), and feasibility studies (7.4%), with a total of 599 participants. Interventions varied from cognitive training (22.2%), virtual reality (22.2%), noninvasive brain stimulation (14.8%), and dual-task training (11.1%), with consistent results. The assessments used were the Trail Making Test Part B (70.4%), Stroop Color and Word Test (44.4%), Digit Symbol Test, Frontal Assessment Battery, and Tower of London test (11.1%). In conclusion, this scoping review provided various interventions and assessments in patients with stroke with executive dysfunction.

Reliability of the Montreal Cognitive Assessment in people with stroke.

This study examined the relative and absolute reliability of the Taiwanese version of the MoCA (MoCA-T) in people with stroke. The study recruited 114 individuals who were at least 3 months after the onset of a first-ever unilateral stroke. The MoCA-T was administered twice, at a 6-week interval, to all participants. The relative reliability was assessed using the intraclass correlation coefficient (ICC), and the absolute reliability was assessed using standard error of measurement (SEM), the smallest real difference (SRD), the SRD percentage, and the Bland-Altman method. The ICC analysis showed the MoCA-T was highly reliable (ICC = 0.85). The absolute reliability was between an acceptable and excellent level, where the SEM and the SRD at the 95% confidence interval were 1.38 and 3.83, respectively. The Bland-Altman analyses showed no systematic bias between repeated measurements. The range of the 95% limits of agreement was narrow, indicating a high level of stability over time. These findings suggest that the MoCA-T has high agreement between repeated measurements without systematic bias. The threshold to detect real change stands between an acceptable and excellent level. The MoCA-T is a reliable tool for cognitive screening in stroke rehabilitation.

High-Intensity Aphasia Therapy Is Cost-Effective in People With Poststroke Aphasia: Evidence From the COMPARE Trial.

BACKGROUND: Evidence from systematic reviews confirms that speech and language interventions for people with aphasia during the chronic phase after stroke (>6 months) improve word retrieval, functional communication, and communication-related quality of life. However, there is limited evidence of their cost-effectiveness. We aimed to estimate the cost per quality-adjusted life year gained from 2 speech and language therapies compared with usual care in people with aphasia during the chronic phase (median, 2.9 years) after stroke. METHODS: A 3-arm, randomized controlled trial compared constraint-induced aphasia therapy plus (CIAT-Plus) and multimodality aphasia therapy (M-MAT) with usual care in 216 people with chronic aphasia. Participants were administered a standardized questionnaire before intervention and at 12 weeks after the 2-week intervention/control period to ascertain health service utilization, employment changes, and informal caregiver burden. Unit prices from Australian sources were used to estimate costs in 2020. Quality-adjusted life years were estimated using responses to the EuroQol-5 Dimension-3 Level questionnaire. To test uncertainty around the differences in costs and outcomes between groups, bootstrapping was used with the cohorts resampled 1000 times. RESULTS: Overall 201/216 participants were included (mean age, 63 years, 29% moderate or severe aphasia, 61 usual care, 70 CIAT-Plus, 70 M-MAT). There were no statistically significant differences in mean total costs ($13 797 usual care, $17 478 CIAT-Plus, $11 113 M-MAT) and quality-adjusted life years (0.19 usual care, 0.20 CIAT-Plus, 0.20 M-MAT) between groups. In bootstrapped analysis of CIAT-Plus, 21.5% of iterations were likely to result in better outcomes and be cost saving (dominant) compared with usual care. In contrast, 72.4% of iterations were more favorable for M-MAT than usual care. CONCLUSIONS: We observed that both treatments, but especially M-MAT, may result in better outcomes at an acceptable additional cost, or potentially with cost savings. These findings are relevant in advocating for the use of these therapies for chronic aphasia after stroke.

Access to inpatient mood management services after stroke in Australian acute and rehabilitation hospitals.

OBJECTIVE: Post-stroke mental health impairments are common, but under-assessed and under-treated. We aim to describe trends in the provision of mood management to patients with stroke, and describe factors associated with adoption of national mood management recommendations for stroke within Australian hospitals. DESIGN: Secondary analysis of cross-sectional data from the biennial Stroke Foundation Audit Program. SETTING: Participating acute (2011-2021) and rehabilitation hospitals (2012-2020) in Australia. PARTICIPANTS: In the acute audit, 22,937 stroke cases were included from 133 hospitals. In the rehabilitation audit, 15,891 stroke cases were included from 127 hospitals. MAIN MEASURES: Hospital- and patient-level mood management processes. RESULTS: Among 133 acute hospitals (22,937 stroke episodes), improvements were made between 2011 and 2021 in utilization of mood screening (17% [2011], 33% [2021]; p < 0.001) and access to psychologists during hospital stay (18% [2011], 45% [2021]; p < 0.001). There was no change in access to a psychologist among those with a mood impairment (p = 0.34). Among 127 rehabilitation hospitals (15,891 stroke episodes) improvements were observed for mood screening (35% [2012], 61% [2020]; p < 0.001), and access to a psychologist during hospital stay (38% [2012], 68% [2020]; p < 0.001) and among those with a mood-impairment (30% [2012], 50% [2020]; p < 0.001). Factors associated with receiving mood management processes included: younger age, not requiring an interpreter and longer length of stay. CONCLUSIONS: Adherence to mood management recommendations has improved over 10 years within Australian hospitals. Those aged over 65, requiring an interpreter, or with shorter hospital stays are at risk of missing out on appropriate mood management.

Referral to Community-Based Rehabilitation Following Acute Stroke: Findings From the COMPASS Pragmatic Trial.

BACKGROUND: Few studies on care transitions following acute stroke have evaluated whether referral to community-based rehabilitation occurred as part of discharge planning. Our objectives were to describe the extent to which patients discharged home were referred to community-based rehabilitation and identify the patient, hospital, and community-level predictors of referral. METHODS: We examined data from 40 North Carolina hospitals that participated in the COMPASS (Comprehensive Post-Acute Stroke Services) cluster-randomized trial. Participants included adults discharged home following stroke or transient ischemic attack (N=10 702). In this observational analysis, COMPASS data were supplemented with hospital-level and county-level data from various sources. The primary outcome was referral to community-based rehabilitation (physical, occupational, or speech therapy) at discharge. Predictor variables included patient (demographic, stroke-related, medical history), hospital (structure, process), and community (therapist supply) measures. We used generalized linear mixed models with a hospital random effect and hierarchical backward model selection procedures to identify predictors of therapy referral. RESULTS: Approximately, one-third (36%) of stroke survivors (mean age, 66.8 [SD, 14.0] years; 49% female, 72% White race) were referred to community-based rehabilitation. Rates of referral to physical, occupational, and speech therapists were 31%, 18%, and 10%, respectively. Referral rates by hospital ranged from 3% to 78% with a median of 35%. Patient-level predictors included higher stroke severity, presence of medical comorbidities, and older age. Female sex (odds ratio, 1.24 [95% CI, 1.12-1.38]), non-White race (2.20 [2.01-2.44]), and having Medicare insurance (1.12 [1.02-1.23]) were also predictors of referral. Referral was higher for patients living in counties with greater physical therapist supply. Much of the variation in referral across hospitals remained unexplained. CONCLUSIONS: One-third of stroke survivors were referred to community-based rehabilitation. Patient-level factors predominated as predictors. Variation across hospitals was notable and presents an opportunity for further evaluation and possible targets for improved poststroke rehabilitative care. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02588664.

Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors.

OBJECTIVE: Inpatient rehabilitation represents a critical setting for stroke treatment, providing intensive, targeted therapy and task-specific practice to minimize a patient's functional deficits and facilitate their reintegration into the community. However, impairment and recovery vary greatly after stroke, making it difficult to predict a patient's future outcomes or response to treatment. In this study, the authors examined the value of early-stage wearable sensor data to predict 3 functional outcomes (ambulation, independence, and risk of falling) at rehabilitation discharge. METHODS: Fifty-five individuals undergoing inpatient stroke rehabilitation participated in this study. Supervised machine learning classifiers were retrospectively trained to predict discharge outcomes using data collected at hospital admission, including patient information, functional assessment scores, and inertial sensor data from the lower limbs during gait and/or balance tasks. Model performance was compared across different data combinations and was benchmarked against a traditional model trained without sensor data. RESULTS: For patients who were ambulatory at admission, sensor data improved the predictions of ambulation and risk of falling (with weighted F1 scores increasing by 19.6% and 23.4%, respectively) and maintained similar performance for predictions of independence, compared to a benchmark model without sensor data. The best-performing sensor-based models predicted discharge ambulation (community vs household), independence (high vs low), and risk of falling (normal vs high) with accuracies of 84.4%, 68.8%, and 65.9%, respectively. Most misclassifications occurred with admission or discharge scores near the classification boundary. For patients who were nonambulatory at admission, sensor data recorded during simple balance tasks did not offer predictive value over the benchmark models. CONCLUSION: These findings support the continued investigation of wearable sensors as an accessible, easy-to-use tool to predict the functional recovery after stroke. IMPACT: Accurate, early prediction of poststroke rehabilitation outcomes from wearable sensors would improve our ability to deliver personalized, effective care and discharge planning in the inpatient setting and beyond.