Discharge destination of individuals with severe stroke undergoing rehabilitation: a predictive model

What factors at discharge predict physical activity and walking outcomes 6 months after stroke? A systematic review

OBJECTIVE

This study aimed to identify factors at hospital discharge that predict physical activity and walking outcomes in the first 6 months after stroke.

DATA SOURCES

Searches were conducted in CINAHL (EBSCO), Web of Science, PubMed and Scopus from inception to 30 April 2024. Reference lists of included articles were manually screened to identify additional studies.

REVIEW METHODS

Studies of adults with stroke reporting predictors at hospital discharge and outcomes of physical activity or walking across the first 6 months after hospital discharge were included. Two reviewers independently screened titles, abstracts and reviewed full texts. Quality of included studies was assessed with Quality in Prognostic Studies screening tool. A narrative synthesis was undertaken.

RESULTS

The search strategy retrieved 7834 studies, from which 6 eligible studies were identified, including a total of 1433 participants. Overall, studies had a low risk of bias. Age, balance, walking speed and walking distance at hospital discharge predicted physical activity outcomes after stroke (n = 2 studies). Cognition, lower limb cycling rhythm and self-efficacy for walking at hospital discharge predicted walking outcomes after stroke (n = 4 studies).

CONCLUSIONS

A range of factors predicted physical activity and walking outcomes 6 months after stroke. Physical capabilities at discharge appear to be a predictor of these outcomes; however, this needs to be interpreted with caution. Diverse measures and time points were used across studies to characterise physical activity and walking outcomes, highlighting the need for consistency in measurement and longitudinal studies in stroke research.

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.

Which body functions and activities matter for stroke patients? Study protocol for best-Worst scalings to value core elements of the International Classification of Functioning, Disability and Health

BACKGROUND

Stroke is a common, serious, and disabling healthcare problem with increasing incidence and prevalence. Following a stroke, identifying the factors associated with decisions about rehabilitation interventions is important to assess rehabilitation after stroke. The aim is to guide clinical staff to make patient-centered decisions. Fundamentally, decision makers cannot draw on evidence to consider the relevance of distinct functions and activities from the patient's perspective. Until now, outcomes of rehabilitation are generally categorized using the International Classification of Functioning, Disability and Health (ICF). This can be seen as a conceptual basis for the assessment of health and disability. Since the ICF does not distinguish importance between these aspects there is a need to value the most important clinical factors as well as related activities from a patients and public perspective to help guide therapists in effectively designing post-acute rehabilitation care for individuals following stroke. The research question is which ICF body functions and activities are of value to stroke patients? Which trade-offs are patients willing to make within the core elements? Health preference research (HPR) answers the need to develop additional preference weights for certain ICF dimensions. Patient preference information (PPI) values health conditions based on the ICF from a patient perspective.

METHODS

In this study we conduct three best-worst scaling (BWS) experiments to value body function and activities from patients' and public perspective. Out of all ICF dimensions this research covers health conditions relevant to stroke patients in terms of body function, perception, and activities of daily living. Stroke patients as well as members of the general population will be recruited to participate in the online BWS surveys. Fractional, efficient designs are applied regarding the survey design. Conditional and multinominal logit analyses will be used as the main analysis method, with the best-worst count analysis as a secondary analysis. The survey is being piloted prior to commencing the process of data collection. Results are expected by the autumn of 2023.

DISCUSSION

The research will add to the current literature on clinical decision-making in stroke rehabilitation and the value of certain body functions as well as related activities in neurorehabilitation. Moreover, the study will show whether body functions and activities that are currently equally weighted in international guidelines are also equally important from the point of view of those affected, or whether there are disconcordances in terms of differences between public judgements and patients' preferences.

Physical functioning factors predicting a return home after stroke rehabilitation: A systematic review and meta-analysis

OBJECTIVES

This systematic review and meta-analysis sought to identify the physical functioning factors associated with home discharge after inpatient stroke rehabilitation.

DATA SOURCES

A search of PubMed, Embase, CINHAL, The Cochrane Library (Trials), Web of Science, and PEDro were conducted up until May 2023.

METHODS

Two independent reviewers selected studies for population (patients with stroke), predictive factors (physical functioning), outcome (discharge destination), setting (inpatient rehabilitation), and study designs (observational and experimental studies). Predictive factors were identified among assessments of the "body function" and "activity" components of the International Classification of Functioning. Methodological quality was assessed with the Newcastle-Ottawa Scale. The findings used quantitative and narrative syntheses. Meta-analyses were performed with the inverse variance method and the random-effects model using included studies with sufficient data.

RESULTS

Forty-five studies were included with 204,787 participants. Included studies assessed the association of independence in activities of daily living, walking, rolling, transferring, and balance on admission with a probability of returning home. Motor (odds ratio = 1.23, 95% confidence interval: 1.12-1.35, p < .001) and total (odds ratio = 1.34, 95% confidence interval: 1.14-1.57, p < .001) Functional Independence Measure scores on admission were significantly associated with home discharge in meta-analyses. Additionally, included studies showed that independence in motor activities, such as sitting, transferring, and walking, and scores above thresholds for the Functional Independence Measure and Berg Balance Scale on admission were associated with discharge destination.

CONCLUSION

This review showed that higher independence in activities of daily living on admission is associated with home discharge after inpatient stroke rehabilitation.

Inpatient Rehabilitation After Acute Severe Stroke: Predictive Value of the National Institutes of Health Stroke Scale Among Other Potential Predictors for Discharge Destination

Background

Research focusing on predictors for discharge destination after rehabilitation of inpatients recovering from severe stroke is scarce. The predictive value of rehabilitation admission NIHSS score among other potential predictors available on admission to rehabilitation has not been studied.

Aim

The aim of this retrospective interventional study was to determine the predictive accuracy of 24 hours and rehabilitation admission NIHSS scores among other potential socio-demographic, clinical and functional predictors for discharge destination routinely collected on admission to rehabilitation.

Material and Methods

On a university hospital specialized inpatient rehabilitation ward 156 consecutive rehabilitants with 24 hours NIHSS score ⩾15 were recruited. On admission to rehabilitation, routinely collected variables potentially associated with discharge destination (community vs institution) were analyzed using logistic regression.

Results

70 (44.9%) of rehabilitants were discharged to community, and 86 (55.1%) were discharged to institutional care. Those discharged home were younger and more often still working, had less often dysphagia/tube feeding or DNR decision in the acute phase, shorter time from stroke onset to rehabilitation admission, less severe impairment (NIHSS score, paresis, neglect) and disability (FIM score, ambulatory ability) on admission, and faster and more significant functional improvement during the in-stay than those institutionalized.

Conclusion

The most influential independent predictors for community discharge on admission to rehabilitation were lower admission NIHSS score, ambulatory ability and younger age, NIHSS being the most powerful. The odds of being discharged to community decreased with 16.1% for every 1 point increase in NIHSS. The 3-factor model explained 65.7% of community discharge and 81.9% of institutional discharge, the overall predictive accuracy being 74.7%. The corresponding figures for admission NIHSS alone were 58.6%, 70.9% and 65.4%.

An optimal model of long-term post-stroke care

Stroke is a major healthcare challenge that is increasing worldwide. The burden of stroke is significant for the affected individuals as well as for the general population; high-quality care is needed to reduce its negative impacts. This article synthesized information from systematic reviews, guidelines, and primary literature on stroke care and post-stroke rehabilitation and proposes an optimal strategy for long-term post-stroke care. It also highlights the unmet needs of patients who experienced a stroke in terms of early diagnosis of complications and adequate, comprehensive therapy.

Effects of A Benefit-Finding Intervention in Stroke Caregivers in Communities

Objectives: To verify the effectiveness and feasibility of a nine-week benefit-finding intervention on the burden, quality of life, and benefit finding of caregivers, as well as on the quality of life of stroke survivors.Methods: Benefit finding refers to the individual, social, psychological and spiritual benefits perceived by an individual experiencing stress or post-traumatic events. A randomized controlled trial was performed in which 68 stroke survivors and their caregivers were recruited from the Zhengzhou community, China, and randomly split into two groups. The intervention group included those having undergone a nine-week benefit-finding intervention, while the control group included those individuals having undergone a nine-week routine health education. At baseline and one-week post-intervention (after a 9-week intervention), the quality of life of stroke survivors and caregivers and the burden and benefit finding of caregivers were determined.Results: In comparison to the control group, caregiver benefit finding, quality of life, burden, and stroke survivor quality of life were significantly improved (P <.005).Conclusions: The intervention appears to be feasible for stroke patients and caregivers. The intervention is capable of improving the quality of life of caregivers and survivors, increasing the benefit finding of caregivers and reducing the burden of caregivers.Clinical Implications: The benefit-finding intervention is capable of improving the health condition of stroke patients and caregivers.

Clarification of Factors Determining Discharge Destination Among Elderly Patients After Stroke With Low Levels of Independence in Activities of Daily Living: A Retrospective Study

Objective

To determine factors influencing discharge destination of elderly patients after stroke with low levels of independence in activities of daily living (ADL).

Design

Cross-sectional study.

Setting

A community-based public hospital in a rural area in Japan.

Participants

A total of 67 patients with low daily function among 205 elderly patients with stroke screened for eligibility (N=67).

Interventions

Not applicable.

Main Outcome Measures

Motor component of functional independence measure (M-FIM) at discharge and discharge destination-home or long-term care facility (LCF).

Results

Among the 205 eligible patients, 147 were discharged home and 58 were discharged to LCFs. Patients with an M-FIM score of ≤30 at discharge were defined as patients deemed difficult to discharge home because of low independence levels in ADL. Of the 147 patients discharged home, 24 (16.3%) had M-FIM scores of ≤30. Of the 58 patients discharged to LCFs, 43 (74.1%) had M-FIM scores of ≤30. Patients with an M-FIM score of ≤30 at discharge significantly tended to be discharged home if they obtained oral intake vs tube feeding as a nutritional method (P=.047) and higher cognitive component of FIM scores at discharge (P=.002). All six patients who lived alone among patients with an M-FIM score of ≤30 were discharged to LCFs. Two patients on tube feeding were discharged home.

Conclusions

Nutritional method, cognitive function at discharge, and the prestroke living situation with or without household caregivers are important factors of discharge among elderly patients after stroke with low independence levels in ADL. However, only a small number of severely disabled patients were successfully discharged home.

Predicting home discharge after inpatient rehabilitation of stroke patients with aphasia

The early identification of the discharge setting from Inpatient Rehabilitation Facilities is a primary goal in stroke-related research because of its clinical and socio-economic relevance. Several features have been identified as significant predictors of the discharge setting. Within cognitive deficits, aphasia is known to be a common and disabling condition that could influence rehabilitation outcome. However, it is often set as an exclusion criterion in stroke research. This study aims to investigate the predictive power of clinical variables, in particular specific language disturbances and nonlinguistic cognitive deficits, for discharge setting in post-acute stroke patients with aphasia after intensive multidisciplinary rehabilitation. In a sample of 158 patients, demographic, motor, language, and nonverbal cognitive data were retrospectively considered for the prediction of the discharge to home vs. another institutional setting. Univariate analysis identified relevant differences between groups and the significant variables were included in a logistic regression model. The results showed that better functional motor status, absence of dysphagia and unimpaired nonlinguistic cognitive profile independently predict the discharge to home. In particular, nonverbal cognitive functioning seemed to be specifically relevant within the aphasic population. The findings could be helpful for setting up the rehabilitation priorities and an adequate discharge arrangement.

Impact of Phase Angle on Physical Function in Patients with Acute Stroke

OBJECTIVE

Phase angle, an assessment of muscle quality, might be a possible predictor of physical function in patients with an acute stroke; however, the evidence for the same is limited. Therefore, this study aimed to investigate whether phase angle is associated with improved physical function at discharge.

METHODS

In this observational cohort study, we determined the phase angle in patients with an acute stroke using a portable, noninvasive multifrequency bio-impedance device. The primary objective was the assessment of physical function using the Functional Independence Measure motor (FIM-motor) at discharge in the acute phase. The secondary outcome was home discharge. Multiple regression analysis was used to determine the association between phase angle, FIM-motor score, and home discharge.

RESULTS

The study included 129 patients (78 men; mean age 75.2 years). Multiple linear regression analysis showed that the phase angle was independently associated with FIM-motor score at discharge in all models (Model 1: β= 0.27, p < 0.001; Model 2: β = 0.234, p < 0.001; Model 3: β = 0.201, p = 0.017). However, multiple logistic regression analysis showed that the phase angle was not associated with home discharge (p = 0.464).

CONCLUSIONS

The phase angle at the onset of a stroke, is an independent predictor of physical function at discharge in the acute phase. Our findings highlight the importance of determining the phase angle in patients with an acute stroke.

Socio-environmental predictive factors for discharge destination after inpatient rehabilitation in patients with stroke: a systematic review and meta-analysis

PURPOSE

To identify which of the socio-environmental factors of patients with stroke are predictive for discharge to their home after inpatient rehabilitation. Because discharge planning is a key component of rehabilitation, it is important to recognize the predictive factors for a discharge home. Other systematic reviews demonstrated the value of functional outcome measures. This review adds to the current literature by assessing the predictive value of socio-environmental factors, which shape the context in which a person lives.

METHODS

We performed a systematic search in seven databases. Two independent reviewers selected studies and assessed them for methodological quality. We extracted data to estimate pooled odds ratio for household situation, social support, ethnicity and socioeconomic status.

RESULTS

Forty studies were included. Significant estimates were found for living with others (OR 2.60; 95%CI 1.84-3.68), having support at home (OR 11.48; 95%CI 6.52-20.21), being married (OR 2.05; 95%CI 1.80-2.33) and living at home before stroke (OR 31.01; 95%CI 7.38-130.18).

CONCLUSION

Living at home and benefiting from social support, including living with others, are important factors to consider during discharge planning after stroke. Further research should consider the impact of socioeconomic status.IMPLICATIONS FOR REHABILITATIONEvaluating the social and environmental factors of patients with stroke plays an important role in discharge planning.Next to functional status, caregiver availability (support at home) is among the strongest predictive factors for discharge home.To assess caregiver availability, the presence of a willing and able caregiver should be surveyed at admission.Further predictive factors for discharge home are cohabitation and marital status.

Most Important Factors for Deciding Rehabilitation Provision for Severe Stroke Survivors Post Hospital Discharge: A Study Protocol for a Best-Worst Scaling Experiment

Efficient decision-making is crucial to ensure adequate rehabilitation with optimal use of healthcare resources. Establishing the factors associated with making decisions concerning rehabilitation provision is important to guide clinical staff towards person-centred decisions for rehabilitation after severe stroke. In this study we conduct a best–worst scaling (BWS) experiment to identify the most important factors and their relative weight of importance for deciding the type of ongoing rehabilitation services a person with severe stroke might receive post hospital discharge. Fractional, efficient designs are applied regarding the survey design. Key multidisciplinary staff regularly involved in making decisions for rehabilitation in a stroke unit will be recruited to participate in an online BWS survey. Hierarchical Bayes estimation will be used as the main analysis method, with the best–worst count analysis as a secondary analysis. The survey is currently being piloted prior to commencing the process of data collection. Results are expected by the end of September 2021. The research will add to the current literature on clinical decision-making in stroke rehabilitation. Findings will quantify the preferences of factors among key multi-disciplinary clinicians working in stroke units in the UK, involved in decision-making concerning rehabilitation after stroke.

Exploring discharge destination following severe stroke

Background:

Patients with severe stroke frequently present with substantial impairments but are often not prioritised for post-discharge rehabilitation. There is a need to determine where these patients are discharged to in order to facilitate appropriate allocation of post-discharge pathway resources.

Aim:

The present study aimed to describe the discharge pathways of patients with severe stroke and to identify predictors of discharge destination for these patients.

Method:

A descriptive, retrospective design was utilised to determine the discharge destination for 770 patients with severe stroke in Queensland, Australia. Binomial logistic regression was used to determine the variables that predicted discharge destination.

Results:

The results indicated that 58.44% of patients were discharged home (n = 450). Age, length of stay, discharge ward and geographical region emerged as significant predictors of discharge destination. The full model containing all predictors was statistically significant and, as a whole, explained 36.50% of the variance in discharge destination.

Conclusion:

These results highlight the importance of these variables in influencing the outcomes of patients with severe stroke, which may assist post-hospital discharge services in allocating resources for patients with severe stroke.

Exoskeleton for post-stroke recovery of ambulation (ExStRA): study protocol for a mixed-methods study investigating the efficacy and acceptance of an exoskeleton-based physical therapy program during stroke inpatient rehabilitation

Background

The ability to walk is commonly reported as a top rehabilitation priority for individuals after a stroke. However, not all individuals with stroke are able to practice walking, especially those who require more assistance from their therapist to do so. Powered robotic exoskeletons are a new generation of robotic-assisted gait training devices, designed to assist lower extremity movement to allow repetitious overground walking practice. To date, minimal research has been conducted on the use of an exoskeleton for gait rehabilitation after stroke. The following research protocol aims to evaluate the efficacy and acceptability, and thus adoptability, of an exoskeleton-based gait rehabilitation program for individuals with stroke.

Methods

This research protocol describes a prospective, multi-center, mixed-methods study comprised of a randomized controlled trial and a nested qualitative study. Forty adults with subacute stroke will be recruited from three inpatient rehabilitation hospitals and randomized to receive either the exoskeleton-based gait rehabilitation program or usual physical therapy care. The primary outcome measure is the Functional Ambulation Category at post-intervention, and secondary outcomes include motor recovery, functional mobility, cognitive, and quality-of-life measures. Outcome data will be collected at baseline, post-intervention, and at 6 months. The qualitative component will explore the experience and acceptability of using a powered robotic exoskeleton for stroke rehabilitation from the point of view of individuals with stroke and physical therapists. Semi-structured interviews will be conducted with participants who receive the exoskeleton intervention, and with the therapists who provide the intervention. Qualitative data will be analyzed using interpretive description.

Discussion

This study will be the first mixed-methods study examining the adoptability of exoskeleton-based rehabilitation for individuals with stroke. It will provide valuable information regarding the efficacy of exoskeleton-based training for walking recovery and will shed light on how physical therapists and patients with stroke perceive the device. The findings will help guide the integration of robotic exoskeletons into clinical practice.

Trial registration

NCT02995265 (clinicaltrials.gov), Registered 16 December 2016.

Canadian Stroke Best Practice Recommendations: Rehabilitation, Recovery, and Community Participation following Stroke. Part Two: Transitions and Community Participation Following Stroke

The sixth update of the Canadian Stroke Best Practice Recommendations for Transitions and Community Participation following Stroke is a comprehensive set of evidence-based guidelines addressing issues faced by people following an acute stroke event. Establishing a coordinated and seamless system of care that supports progress achieved during the initial recovery stages throughout the transition to the community is more essential than ever as the medical complexity of people with stroke is also on the rise. All members of the health-care team engaged with people with stroke, their families, and caregivers are responsible for partnerships and collaborations to ensure successful transitions and return to the community following stroke. These guidelines reinforce the growing and changing body of research evidence available to guide ongoing screening, assessment, and management of individuals following stroke as they move from one phase and stage of care to the next without “falling through the cracks.” It also recognizes the growing role of family and informal caregivers in providing significant hours of support that disrupt their own lives and responsibilities and addresses their support and educational needs. According to Statistics Canada, in 2012, eight million Canadians provided care to family members or friends with a long-term health condition, disability, or problems associated with aging. These recommendations incorporate aspects that were previously in the rehabilitation module for the purposes of streamlining, and both modules should be reviewed in order to provide comprehensive care addressing recovery and community reintegration and participation. These recommendations cover topics related to support and education of people with stroke, families, and caregivers during transitions and community reintegration. They include interprofessional planning and communication, return to driving, vocational roles, leisure activities and relationships and sexuality, and transition to long-term care.

Development and validation of a prediction model for home discharge in patients with moderate stroke: The Korean stroke cohort for functioning and rehabilitation study

BACKGROUND

Previous studies have investigated the predictors for home discharge without considering stroke severity.

OBJECTIVES

To develop a practical assessment tool that predicts home discharge for moderate stroke patients after subacute rehabilitation therapy in the tertiary hospitals.

METHODS

Stroke patients with National Institutes of Health Stroke Scale scores of 6 to 13 were included in this prospective cohort study. Various demographic, clinical, and functional factors were analyzed as potential predictive factors. A weighted scoring model was developed through the following three-step process: 1) selection of the factors by logistic regression analyses, 2) development of a weighted scoring model, and 3) validation of the generalizability of the model.

RESULTS

The home discharge rate was 51% (n = 372), and the overall mean length of stay of hospitalization was 32.5 days. 1) The Cognitive Functional Independence Measure, 2) the Functional Ambulation Categories, 3) the modified Charlson Comorbidity Index, and 4) marital status were independent predictors of home discharge. The coefficient value for marital status was adjusted to 1 in the scoring system, and the values of the other parameters were proportionally converted to the nearest integer. Possible total scores ranged from 0 to 13 in the model, with a higher score indicating a higher probability of home discharge. With a cutoff point of 7, this model showed 87.0% sensitivity and 86.2% specificity (area under the curve = 0.90).

CONCLUSIONS

This novel assessment tool can be useful in predicting home discharge after subacute rehabilitation of moderate stroke patients.

A Preliminary Analysis of a Home-Based Stroke Rehabilitation Program in Windsor, Ontario

Community stroke rehabilitation (CSR) is an effective program for survivors to recover at home supported by a multidisciplinary team. A home-based, specialized CSR program was delivered in Windsor, Ontario, to stroke patients who faced barriers to accessing outpatient services following inpatient rehabilitation. Preliminary results show program patients made significant functional improvements from baseline to program discharge. A subgroup analysis revealed that, after adjusting for age and resource intensity, moderate to severe stroke patients made greater functional gains compared to mild stroke patients. The individualized focus of CSR delivered in the home provides an effective model of rehabilitation for continued stroke care in the community.

Discharge Destination from a Rehabilitation Unit After Acute Ischemic Stroke

Background: We reviewed numerous variables for ischemic stroke patients admitted to a rehabilitation unit to determine those that were statistically associated with discharge destination. Methods: A retrospective chart review of patients with ischemic stroke discharged from the rehabilitation unit between January 1, 2005 and December 31, 2015. Variables were examined for their association with discharge destination (home versus long-term care (LTC)). Univariable relationships with discharge destination were assessed, and a multivariable logistic regression model was built. Results: Univariate predictors of discharge to LTC: advanced age, decreasing admission and discharge functional independence measure (FIM) scores, increasing change in FIM score from admission to discharge, dependency, residence outside of home before the stroke, absence of a caregiver, urinary and bowel incontinence, low Berg balance score at admission and discharge, low Montreal Cognitive Assessment scores, smoking, chronic heart failure, and an inability to transfer. Multivariable logistic regression: five factors remained significant predictors with LTC disposition: advanced age, bowel incontinence, residence outside of the home prior to stroke, right hemisphere site of the stroke, and absence of a caregiver. Conclusions: Several easily measured variables were significantly associated with discharge to LTC versus home following stroke rehabilitation.

Rehabilitation Outcomes of Patients With Severe Disability Poststroke

OBJECTIVE

To characterize rehabilitation outcomes of patients with severe poststroke motor impairment (MI) and develop a predictive model for treatment failure.

DESIGN

Retrospective cohort study. Correlates of treatment failure, defined as the persistence of severe MI after rehabilitation, were identified using logistic regression analysis. Then, an integer-based scoring rule was developed from the logistic model.

SETTING

Three specialized inpatient rehabilitation facilities.

PARTICIPANTS

Patients (N=1265) classified as case-mix groups (CMGs) 0108, 0109, and 0110 of the Medicare classification system.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE

Change in the severity of MI, as assessed by the FIM, from admission to discharge.

RESULTS

Median FIM-motor (FIM-M) score increased from 17 (interquartile range [IQR] 14-23) to 38 (IQR, 25-55) points. Median proportional recovery, as expressed by FIM-M effectiveness, was 26% (IQR, 12-47). Median FIM-M change was 18 (IQR, 9-34) points. About 38.5% patients achieved the minimal clinically important difference. Eighteen point six percent and 32.0% of the patients recovered to a stage of either mild (FIM-M ≥62) or moderate (FIM-M 38-61) MI, respectively. All between-CMG differences were statistically significant. Outcomes have also been analyzed according to classification systems used in Australia and Canada. The scoring rule had an area under the curve of 0.833 (95% confidence interval, 0.808-0.858). Decision curve analysis displayed large net benefit of using the risk score compared with the treat all strategy.

CONCLUSIONS

This study provides a snapshot of rehabilitation outcomes in a large cohort of patients with severe poststroke MI, thus filling a gap in knowledge. The scoring rule accurately identified the patients at risk for treatment failure.

Previous experience and walking capacity predict community outings after stroke: An observational study

Background: Following hospital discharge, stroke survivors may experience a decline in mobility, outings, and community participation. The aim of this study was to examine the relationship between demographic and clinical measures, and the level of participation by community-dwelling stroke survivors. Methods: A prospective, multicenter, observational study was conducted. Participants were 83 community-dwelling stroke survivors with participation goals who were undergoing post-inpatient rehabilitation in Australia. Predictors collected at baseline, early after hospital discharge were demographic (age, gender, living situation, home access) and clinical measures (walking capacity, driving status, baseline outings). The outcome of interest was community participation 6 months later, measured over 7 days as number of outings (collected in a self-report diary). An outing was any excursion beyond the perimeter of the participants' dwelling into a public street. Results: Number of outings 6 months after admission to the study (mean 8.5/week, SD 5.3) was predicted by number of outings at baseline, walking capacity, and age. Driving status did not predict number of outings. Conclusion: The strongest predictors of community participation were the number of outings early post-inpatient rehabilitation, walking capacity, and age. The only significant modifiable predictor was walking capacity.

Activities of daily living independence level for home discharge in stroke patients based on number of caregivers: an analysis of the Japan Rehabilitation Database

Purpose This study aimed to calculate cut-off values of activities of daily living independence level for stroke patient home discharge based on the number of family caregivers. Method The subjects comprised 1442 stroke patients (26 hospitals) who were registered of the Japanese Rehabilitation Database. Receiver operating characteristic curves were used to elucidate the BI and FIM^Ⓡ instrument scores necessary for home discharge. Analysis was performed for each subject according to the number of family caregivers, i.e., no caregiver, one person, two persons or more, and overall. Result The BI cut-off points that discriminated between home discharge and other were 65/60 points overall, 75/70 points in patients with no caregiver, 65/60 points in patients with one caregiver, and 60/55 points in patients with two or more caregivers. The FIM^Ⓡ instrument cut-off points were 90/89 points overall, 101/100 points in patients with no caregiver, 87/86 points in patients with one caregiver, and 87/86 points in patients with two or more caregivers. Conclusion Our results indicated that home discharge for patients with many caregivers was possible even with low ADL independence levels, and that there was a large difference in cut-off values depending on the presence or absence of one caregiver.

Validity and reliability of Chinese version of Adult Carer Quality of Life questionnaire (AC-QoL) in family caregivers of stroke survivors

The Adult Carer Quality of Life questionnaire (AC-QoL) is a reliable and valid instrument used to assess the quality of life (QoL) of adult family caregivers. We explored the psychometric properties and tested the reliability and validity of a Chinese version of the AC-QoL with reliability and validity testing in 409 Chinese stroke caregivers. We used item-total correlation and extreme group comparison to do item analysis. To evaluate its reliability, we used a test-retest reliability approach, intraclass correlation coefficient (ICC), together with Cronbach’s alpha and model-based internal consistency index; to evaluate its validity, we used scale content validity, confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) via principal component analysis with varimax rotation. We found that the CFA did not in fact confirm the original factor model and our EFA yielded a 31-item measure with a five-factor model. In conclusions, although some items performed differently in our analysis of the original English language version and our Chinese language version, our translated AC-QoL is a reliable and valid tool which can be used to assess the quality of life of stroke caregivers in mainland China. Chinese version AC-QoL is a comprehensive and good measurement to understand caregivers and has the potential to be a screening tool to assess QoL of caregiver.

Addressing the Evidence Gap in Stroke Rehabilitation for Complex Patients: A Preliminary Research Agenda

Evidence suggests that a stroke occurs in isolation (no comorbid conditions) in less than 6% of patients. Multimorbidity, compounded by psychosocial issues, makes treatment and recovery for stroke increasingly complex. Recent research and health policy documents called for a better understanding of the needs of this patient population, and for the development and testing of models of care that meet their needs. A research agenda specific to complexity is required. The primary objective of the think tank was to identify and prioritize research questions that meet the information needs of stakeholders, and to develop a research agenda specific to stroke rehabilitation and patient complexity. A modified Delphi and World Café approach underpinned the think tank meeting, approaches well recognized to foster interaction, dialogue, and collaboration between stakeholders. Forty-three researchers, clinicians, and policymakers attended a 2-day meeting. Initial question-generating activities resulted in 120 potential research questions. Sixteen high-priority research questions were identified, focusing on predetermined complexity characteristics-multimorbidity, social determinants, patient characteristics, social supports, and system factors. The final questions are presented as a prioritized research framework. An emergent result of this activity is the development of a complexity and stroke rehabilitation research network. The research agenda reflects topics of importance to stakeholders working with stroke patients with increasingly complex care needs. This robust process resulted in a preliminary research agenda that could provide policymakers with the evidence needed to make improvements toward better-organized services, better coordination between settings, improved patient outcomes, and lower system costs.

Caregiver availability for severe stroke results in improved functional ability at discharge from inpatient rehabilitation

PURPOSE

To evaluate the predictive capacity of caregiver availability on functional ability at time of discharge from inpatient rehabilitation in individuals with severe first-time stroke.

METHODS

A retrospective chart review was conducted of severe stroke inpatients admitted to a stroke rehabilitation unit between April 2005 and December 2009. Follow-up telephone interviews were conducted with patients to determine caregiver availability at time of discharge. Hierarchical linear regression analysis was performed to assess the predictive capacity of caregiver availability on functional ability at discharge from an inpatient rehabilitation unit after controlling for covariates.

RESULTS

Data from 180 individuals were included in the analysis. Individuals with a caregiver had significantly higher levels of functional ability at discharge compared to those without (85.8 ± 23.6 versus 72.9 ± 20.3; p < 0.01), although both groups achieved a minimal clinically important difference. After controlling for age, gender, admission Functional Independence Measure, and length of hospital stay, caregiver availability explained 1.3% of additional variance, with the final model explaining 41.3% of total variance for functional ability at discharge (F (5,174) = 26.21, p < 0.001).

CONCLUSIONS

The presence of a caregiver at time of discharge from inpatient rehabilitation is predictive of significantly higher functional ability at discharge in individuals with severe stroke. Implications for rehabilitation The availability of a caregiver at time of discharge from inpatient rehabilitation is predictive of improved functional ability at discharge in individuals with severe stroke. The presence of an available caregiver positively influences the functional recovery of individuals with severe stroke and may be an important element to successful rehabilitation.

Inpatient Rehabilitation Outcomes in Patients With Stroke Aged 85 Years or Older

BACKGROUND

In the United States, people 85 years of age or older have a growing number of strokes each year, and this age group is most at risk for disability. Inpatient rehabilitation facilities (IRFs) adhere closest to post-acute stroke rehabilitation guidelines and have the most desirable outcomes compared with skilled nursing facilities. As stroke is one of the leading causes of disability, knowledge of postrehabilitation outcomes is needed for this age group, although at present such information is limited.

OBJECTIVE

The purpose of this study was to describe functional and discharge outcomes after IRF rehabilitation in people with stroke aged 85 years or older.

DESIGN

A serial, cross-sectional design was used.

METHODS

Inpatient Rehabilitation Facility-Patient Assessment Instrument data were analyzed beginning in 2002 for the first 5.5 years after implementation of the prospective payment system and included 71,652 cases. Discharge function, measured using the Functional Independence Measure (FIM), and community discharge were the discharge outcome measures. Sample description used frequencies and means. Generalized estimating equations (GEEs) with post hoc testing were used to analyze the annual trends for discharge FIM and community discharge by age group (85-89, 90-94, 95-99, and ≥100 years). Risk-adjusted linear and logistic GEE models, with control for cluster, were used to analyze the association between both outcome measures and age group.

RESULTS

Over 5.5 years, mean discharge FIM scores decreased by 3.6 points, and mean achievement of community discharge decreased 5.5%. Approximately 54% of the sample achieved community discharge. Continuous and logistic GEEs revealed factors associated with discharge outcomes.

LIMITATIONS

Results obtained using an observational design should not be viewed as indicating causation. The lack of control for a caregiver may have altered results.

CONCLUSIONS

The very elderly people admitted to IRF stroke rehabilitation made functional gains, and most were able to return to the community.

Canadian Stroke Best Practice Recommendations: Managing transitions of care following Stroke, Guidelines Update 2016

Every year, approximately 62,000 people with stroke and transient ischemic attack are treated in Canadian hospitals. For patients, families and caregivers, this can be a difficult time of adjustment. The 2016 update of the Canadian Managing Transitions of Care following Stroke guideline is a comprehensive summary of current evidence-based and consensus-based recommendations appropriate for use by clinicians who provide care to patients following stroke across a broad range of settings. The focus of these recommendations is on support, education and skills training for patients, families and caregivers; effective discharge planning; interprofessional communication; adaptation in resuming activities of daily living; and transition to long-term care for patients who are unable to return to or remain at home. Unlike other modules contained in the Canadian Stroke Best Practice Recommendations (such as acute inpatient care), many of these recommendations are based on consensus opinion, or evidence level C, highlighting the absence of conventional evidence (i.e. randomized controlled trials) in this area of stroke care. The quality of care transitions between stages and settings may have a direct impact on patient and family outcomes such as coping, readmissions and functional recovery. While many qualitative and non-controlled studies were reviewed, this gap in evidence combined with the fact that mortality from stoke is decreasing and more people are living with the effects of stroke, underscores the need to channel a portion of available research funds to recovery and adaptation following the acute phase of stroke.

A Synthesis of Peer-Reviewed Literature on Team-Coordinated and Delivered Early Supported Discharge After Stroke

This review aimed to summarize data from peer-reviewed studies of team-coordinated and delivered early supported discharge (ESD) for postacute, poststroke rehabilitation. A systematic review was performed in Medline, Embase, and CINAHL for appropriate studies. Information on program details and patient cohorts was synthesized. All programs sought patients with mild-to-moderate functional impairment and minimal cognitive impairment (often based on Barthel Index and Mini-Mental State Examination scores, respectively). All also included at least one subjective admission criterion related to rehabilitation suitability or the suitability of the home environment. Based on the identified studies, ESD programs can assume that 15% of patients screened for ESD will be eligible and care should be provided for 4 to 5 weeks postdischarge. Although the benefits of team-coordinated and delivered ESD poststroke have been well-documented, this review may be helpful for clinicians, administrators, and policy makers looking to establish or refine an ESD program for stroke.