Urban-Rural Differences in Service Utilization and Costs of Care for Racial-Ethnic Groups Hospitalized With Poststroke Aphasia

Exploring the association between social determinants and aphasia impairment: A retrospective data integration approach

INTRODUCTION

Traditionally, the study of aphasia focused on brain trauma, clinical biomarkers, and cognitive processes, rarely considering the social determinants of health. This study evaluates the relationship between aphasia impairment and demographic, socioeconomic, and contextual determinants among people with aphasia (PWA).

METHODS

PWA indexed within AphasiaBank-a database populated by multiple clinical aphasiology centers with standardized protocols characterizing language, neuropsychological functioning, and demographic information-were matched with respondents in the Medical Expenditure Panel Survey based on response year, age, sex, race, ethnicity, time post stroke, and mental health status. Generalized log-linear regression models with bootstrapped standard errors evaluated the association between scores on the Western Aphasia Battery-Revised Aphasia Quotient (WAB-R AQ) and demographic, economic, and contextual characteristics accounting for clustering of respondents and the stratification of data collection. Region, age, and income specific models tested the sensitivity of results.

RESULTS

PWA over age 60 had 2.4% (SE = 0.020) lower WAB-R AQ scores compared with younger PWA. Compared to White PWA, Black and Hispanic PWA had 4.7% (SE = 0.03) and 0.81% (SE = 0.06) lower WAB-R AQ scores, respectively, as did those and living in the Southern US (-2.2%, SE = 0.03) even after controlling for age, family size, and aphasia type. Those living in larger families (β = 0.005, SE = 0.008), with income over $30,000 (β = 0.017, SE = 0.022), and a college degree (β = 0.030, SE = 0.035) had higher WAB-R AQ relative to their counterparts. Region-specific models showed that racial differences were only significant in the South and Midwest, while ethnic differences are only significant in the West. Sex differences only appeared in age-specific models. Racial and ethnic differences were not significant in the high-income group regression.

CONCLUSION

These findings support evidence that circumstances in which individuals live, work, and age are significantly associated with their health outcomes including aphasia impairment.

Patient Characteristics and Treatment Patterns for Speech-Language Pathology Services in Skilled Nursing Facilities

PURPOSE

Skilled nursing facility (SNF) care has historically been influenced by systemic issues that could impact speech-language pathology (SLP) service provision. However, there has been little study specifically on factors associated with SLP service provision in SNFs. Large administrative data sets are rarely analyzed in SLP research but can be used to understand real-world SLP services. This study investigated associations between patient and facility characteristics and SLP services.

METHOD

Mixed-effects logistic regression models were used to evaluate factors associated with SLP service provision in 2018 Medicare administrative data representing 833,653 beneficiaries.

RESULTS

Beneficiaries had higher odds of receiving SLP services when they had neurologic diagnosis (odds ratio [OR] = 3.32), had SLP-related functional impairments (ORs = 1.19-3.41), and received other rehabilitative services (ORs = 3.11-3.78). Beneficiaries had lower odds of receiving SLP services when they received care from SNFs located in hospitals versus freestanding (OR = 0.45), with need for interpreter services (OR = 0.76) and with thresholding (OR = 0.68), a financially motivated practice. Direction of association varied across racial and ethnic groups and measures of location. Odds of being provided SLP services decreased with increasing communication impairment severity.

CONCLUSIONS

The results suggest that clinicians are identifying patients with diagnoses most likely to warrant SLP services. However, association disparities and weakening association of service provision with increasing impairment severity have concerning clinical implications. Health services research methods can be used to further explore SLP practices in SNFs to support equitable service provision.

The Excess Costs of Hospitalization for Acute Stroke in People With Communication Impairment: A Stroke123 Data Linkage Substudy

OBJECTIVE

To describe the costs of hospital care for acute stroke for patients with aphasia or dysarthria.

DESIGN

Observational study from the Stroke123 project.

SETTING

Data from patients admitted with stroke (2009-2013) from 22 hospitals in Queensland participating in the Australian Stroke Clinical Registry (AuSCR) were linked to administrative datasets.

PARTICIPANTS

Communication impairments were identified using International Classification of Diseases, 10th Revision, Australian Modification codes. Overall, 1043 of 4195 (25%) patients were identified with aphasia (49% were women; median age 78 years; 83% with ischemic stroke), and 1005 (24%) with dysarthria (42% were women; median age 76 years; 85% with ischemic stroke).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Linked patient-level, hospital clinical costing related to the stroke, were adjusted to 2013/2014 Australian dollars (AU$, US$ conversion x 0.691) using recommended national price indices and multivariable regression analysis with clustering by hospital performed.

RESULTS

Compared with patients without aphasia, the median hospital costs/patient were greater for those with aphasia for medical (aphasia AU$2273 vs AU$1727, P<.001), nursing (aphasia AU$3829 vs AU$2748, P<.001) and allied health services (aphasia AU$1138 vs AU$720, P<.001). Similarly, costs were greater for patients with dysarthria compared with those without dysarthria. Adjusted median total costs were AU$2882 greater for patients with aphasia compared with patients without aphasia (95% confidence interval, AU$1880-3884), and AU$843 greater for patients with dysarthria compared with those without dysarthria (95% confidence interval, AU$-301 to 1987).

CONCLUSIONS

People with communication impairment after stroke incur greater hospital costs, in particular for medical, allied health, and nursing resources.

Aphasia severity is modulated by race and lesion size in chronic survivors: A retrospective study

INTRODUCTION

In stroke survivors with aphasia (SWA), differences in behavioral language performance have been observed between Black and White Americans. These racial differences in aphasia outcomes may reflect biological stroke severity, disparities in access to care, potential assessment bias, or interactions between these factors and race. Understanding the origin of disparities in aphasia outcomes is critical to any efforts to promote health equity among SWA. In this study, we explore aphasia outcomes by examining the relationship between race, socioeconomic status, and neurological factors in SWA.

METHOD

Eighty-five chronic left-hemisphere SWA (31 Black, 54 White) participated in the study. The primary aphasia outcome measure was the Western Aphasia Battery-Revised (WAB-R). Lesion size was measured based on manual lesion segmentations. FLAIR and T2 images were scored for severity of white matter disease. Independent sample t-tests were used to determine differences by race in education, age, income, aphasia severity, white matter disease, and lesion size. A linear regression model was used to explore factors that predicted aphasia severity on the WAB-R.

RESULT

Level of education and estimated income differed by race in our sample. For predictors of aphasia severity, the regression model revealed a significant effect of lesion size on WAB Aphasia Quotient and an interaction of race x lesion size, such that Black and White participants with small lesions had similar WAB scores, but in individuals with larger lesions, Black participants had lower WAB scores than White participants.

CONCLUSION

We suggest two explanations for the difference between Black and White SWA in the relationship between lesion size and aphasia severity. First, the impact of disparities in access to rehabilitation after stroke may be more evident when a stroke is larger and causes significant aphasia. Additionally, an assessment bias in aphasia outcome measures may be more evident with increasing severity of aphasia. Future studies should further discern the drivers of observed disparities in aphasia outcomes in order to identify opportunities to improve equity in aphasia care.

Is There a Research-Practice Dosage Gap in Aphasia Rehabilitation?

Purpose Aphasia intervention research aims to improve communication and quality of life outcomes for people with aphasia. However, few studies have evaluated the translation and implementation of evidence-based aphasia interventions to clinical practice. Treatment dosage may be difficult to translate to clinical settings, and a mismatch between dosage in research and clinical practice threatens to attenuate intervention effectiveness. The purpose of this study is to quantify a potential research-practice dosage gap in outpatient aphasia rehabilitation. Method This study utilized a two-part approach. First, we estimated clinical treatment dosage in an episode of care (i.e., treatment provided from outpatient assessment to discharge) via utilization in a regional provider in the United States. Second, we undertook a scoping review of aphasia interventions published from 2009 to 2019 to estimate the typical dosage used in the current aphasia literature. Results Outpatient clinical episodes of care included a median of 10 treatment sessions and a mean of 14.8 sessions (interquartile range: 5-20 sessions). Sessions occurred 1-2 times a week over 4-14 weeks. The median total hours of treatment was 7.5 hr (interquartile range: 3.75-15 hr). In contrast, published interventions administered a greater treatment dosage, consisting of a median of 20 hr of treatment (interquartile range: 12-30 hr) over the course of 15 sessions (interquartile range: 10-24 sessions) approximately 3 times per week. Conclusions Results demonstrate a meaningful research-practice dosage gap, particularly in total treatment hours and weekly treatment intensity. This gap highlights the potential for attenuation of effectiveness from research to outpatient settings. Future translational research should consider clinical dosage constraints and take steps to facilitate intervention implementation, particularly with regard to dosage. Conversely, health care advocacy and continued development of alternative delivery methods are necessary for the successful implementation of treatments with dosage that is incompatible with current clinical contexts. Pragmatic, implementation-focused trials are recommended to evaluate and optimize treatment effectiveness in outpatient clinical settings. Supplemental Material https://doi.org/10.23641/asha.15161568.

The Impact of Racism, Power, Privilege, and Positionality on Communication Sciences and Disorders Research: Time to Reconceptualize and Seek a Pathway to Equity

Purpose The purpose of this article is to explore how racism, privilege, power, and positionality negatively impact clinical research conducted in the discipline of communication sciences and disorders. Conclusions Evidence suggests solutions will not emerge from a minor revision or adjustment of current research approaches. Instead, to make deep and necessary changes, a complete restructuring of the research process is needed. This restructuring calls for a reconceptualization of how research questions and hypotheses are formed, how methods are selected, how data are analyzed and interpreted, and who is at the table throughout this process of knowledge generation. Such an overhaul of current research approaches will offer the field a solution-oriented roadmap for scientific investigation that facilitates greater equity in the research enterprise that translates into improved clinical outcomes for all clients served.

The Relationship Between Fall Risk and Hospital-Based Therapy Utilization Is Moderated by Demographic Characteristics and Insurance Type

OBJECTIVE

To investigate whether indicators of patient need (comorbidity burden, fall risk) predict acute care rehabilitation utilization, and whether this relation varies across patient characteristics (ie, demographic characteristics, insurance type).

DESIGN

Secondary analysis of electronic health records data.

SETTING

Five acute care hospitals.

PARTICIPANTS

Adults (N=110,209) admitted to 5 regional hospitals between 2014 and 2018.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Occupational therapy (OT) and physical therapy (PT) utilization. Logistic regression models determined whether indicators of patient need predicted OT and PT utilization. Interactions between indicators of need and both demographic factors (eg, minority status, presence of significant other) and insurance type were included to investigate whether the relation between patient need and therapy access varied across patient characteristics.

RESULTS

Greater comorbidity burden was associated with a higher likelihood of receiving OT and PT. Relative to those with low fall risk, those with moderate and high fall risk were more likely to receive OT and PT. The relation between fall risk and therapy utilization differed across patient characteristics. Among patients with higher levels of fall risk, those with a significant other were less likely to receive OT and PT; significant other status did not explain therapy utilization among patients with low fall risk. Among those with high fall risk, patients with VA insurance and minority patients were more likely to receive PT than those with private insurance and nonminority patients, respectively. Insurance type and minority status did not appear to explain PT utilization among those with lower fall risk.

CONCLUSIONS

Patients with greater comorbidity burden and fall risk were more likely to receive acute care rehabilitation. However, the relation between fall risk and utilization was moderated by insurance type, having a significant other, and race/ethnicity. Understanding the implications of these utilization patterns requires further research.