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Race/Ethnicity Matters: Differences in Poststroke Inpatient Rehabilitation Outcomes.

ABSTRACT: Objective:To examine racial/ethnic differences in poststroke inpatient rehabilitation outcomes. Design:Cross-sectional and retrospective study of administrative data across 2002-2018. Setting:An inpatient rehabilitation facility in Southern California. Participants:3,876 racial/ethnic people aged ? 18 years. Main Outcome Measures:Functional Independence Measure (FIM®) and discharge disposition. Results:Participants were non-Hispanic Whites (NHWs, 68.5%), Hispanics (17.1%), non-Hispanic Asians (NHAs, 7.4%), and non-Hispanic Blacks (NHBs, 6.4%) aged 18-102 years (Mage = 68.47±14.66 years; MLOS = 19.47±10.05 days). Above and beyond covariates, multivariate hierarchical regression analyses showed race/ethnicity significantly predicted admission, motor efficiency, and discharge FIM® scores. Compared with NHWs, the Hispanic and NHA groups were associated with lower cognitive, motor, and total FIM® scores at admission; the NHB group was associated with lower motor efficiency, lower discharge motor and total FIM® scores, whereas the Hispanic group was associated with higher discharge total FIM® scores. Lastly, Hispanics had higher odds of a discharge home compared with NHWs. Conclusions:Findings suggest racial/ethnic differences exist in poststroke rehabilitation outcomes.

SUBMITTER: Garcia JJ

PROVIDER: S-EPMC6802163 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Race/Ethnicity Matters: Differences in Poststroke Inpatient Rehabilitation Outcomes.

Garcia James J JJ Warren Karlita L KL

Ethnicity & disease 20191017 4

<h4>Objective</h4>To examine racial/ethnic differences in poststroke inpatient rehabilitation outcomes.<h4>Design</h4>Cross-sectional and retrospective study of administrative data across 2002-2018.<h4>Setting</h4>An inpatient rehabilitation facility in Southern California.<h4>Participants</h4>3,876 racial/ethnic people aged ≥ 18 years.<h4>Main outcome measures</h4>Functional Independence Measure (FIM®) and discharge disposition.<h4>Results</h4>Participants were non-Hispanic Whites (NHWs, 68.5%) ...[more]

PMID: 31641327

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Project description:Background and Purpose- Cross sectional analyses have found large race differences in poststroke disability, yet these analyses do not account for prestroke disability, hospitalization factors, postacute care, transitions, or mortality. In this context, we explore mortality, nursing home placement, and disability in a longitudinal analysis of older stroke survivors who survived at least 90 days poststroke. Methods- A prospective cohort of black or white stroke survivors from the National Health and Aging Trends Study (2009-2016) linked to Medicare were used. Disability was assessed during in-person interviews with validated scales (0-7). We used cox proportional hazards models to separately assess mortality and nursing home admission adjusting for age, sex, sociodemographics (marital status, education, income, insurance status, social network size), comorbidities, hospitalization factors, postacute care, and 90-day readmissions. To estimate racial differences in disability, we used a multilevel linear regression model initially adjusting for age and sex and then compared with a model adjusted for sociodemographics, comorbidities, hospitalization factors, postacute care, and 90-day readmissions. Results- There were 282 stroke survivors, of which 76 (12.6%) were black. There were no race differences in long-term mortality (hazard ratio for black, 1.2 [95% CI, 0.7-2.2]; P=0.5) or nursing home placement (hazard ratio for black, 0.7 [95% CI, 0.2-2.4]; P=0.5). The largest race differences in disability were observed immediately prestroke, estimated age- and sex-adjusted activity limitations were (2.6 [2.0-3.2] in blacks versus 1.4 [1.0-1.8] in whites, mean difference, 1.2 [0.5-1.9], P<0.001) and immediately poststroke (2.6 [2.0-3.3] in blacks versus 1.7 [1.2-2.1] in whites, mean difference, 1.0 [0.2-1.7], P<0.01). Full adjustment did not substantially change the associations between race and disability. Conclusions- Race differences in nursing home placement, long-term mortality, sociodemographics, comorbidities, hospitalization factors, postacute care, and readmissions are unlikely to be large contributors to race differences in poststroke disability. Further research is needed to understand the drivers of race differences in poststroke disability.

Project description:Over 80% of bias-motivated violent victimization is motivated by race or ethnicity and over 50% of bias victimization occurs in non-Hispanic Whites (NHW). Our aim was to determine the risk and health impacts of race/ethnicity-motivated violent victimization by victim race/ethnicity. We examined data from the National Crime Victimization Survey (2003-2015) to estimate violent victimization risk by victim race/ethnicity across race/ethnicity bias victimization, other types of bias victimizations, and non-bias violent victimizations. We examined incident and offender characteristics for race/ethnicity-motivated victimization by victim race/ethnicity. The risk of race/ethnicity-motivated violent victimization was greater for non-Hispanic Blacks (NHB) and Hispanics than for NHWs (incidence rate ratios [IRR] = 1.4; 95% confidence interval [CI] = [1.0, 2.0], and IRR = 1.6; 95% CI = [1.2, 2.1]). This translates into an additional 46.7 incidents per 100,000 person-years (95% CI = [1.4, 92.1]) for the NHB population and an additional 60.3 incidents per 100,000 person-years (95% CI = [20.3, 100.4]) for the Hispanic population. Violent incidents for NHB victims more frequently resulted in injury or medical care. Nearly 40% of NHB victims reported difficulties at school or work related to the incident where only 21.5% of NHWs and 11.7% of Hispanic victims reported similar problems. Roughly 37% of NHB victims identified a NHW offender and 45% of NHW victims identified a NHB offender. Hispanic victims identified NHB or NHW offenders in over 70% of incidents. Although literature suggests that NHWs account for the majority of bias victimizations, the risk of non-fatal violent victimization motivated by race/ethnicity is greater for NHBs and Hispanics. Crimes perpetrated against NHBs are likely more severe and victim/offender racial incongruity is common. Findings provide empiric evidence on race/ethnicity-related structural disadvantage with adverse health consequences.

Project description:ObjectiveInpatient 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.MethodsFifty-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.ResultsFor 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.ConclusionThese findings support the continued investigation of wearable sensors as an accessible, easy-to-use tool to predict the functional recovery after stroke.ImpactAccurate, 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.

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Race/Ethnicity Matters: Differences in Poststroke Inpatient Rehabilitation Outcomes.

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Race/Ethnicity Matters: Differences in Poststroke Inpatient Rehabilitation Outcomes.

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