Do social determinants influence post-stroke aphasia outcomes? A scoping review

Association Between Social Determinants of Health and Traumatic Brain Injury: A Scoping Review

Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. Disparities exist in the populations that acquire TBIs, however, with a greater burden and poorer outcomes associated with communities of color and lower socioeconomic status. To combat health inequities such as these, institutions have begun to target social determinants of health (SDoH), which are environmental factors that affect health outcomes and risks. The SDoH may play a role in sustaining a TBI and provide modifiable targets for action to reduce the risk of TBI, especially in high-risk communities. In this study, we describe the existing literature regarding SDoH and their association with sustaining a TBI. We performed a scoping review with a comprehensive search of the Ovid MEDLINE/Embase databases. To summarize the literature, this review adapts the World Health Organization's Commission on SDoH's conceptual framework. Fifty-nine full-text articles, including five focusing on lower and middle-income countries, met our study criteria. Results of the scoping review indicate that several structural determinants of health were associated with TBI risk. Lower educational attainment and income levels were associated with higher odds of TBI. In addition, multiple studies highlight that minority populations were identified as having higher odds of TBI than their White counterparts. Literature highlighting intermediate determinants of health examined in this review describes associations between sustaining a TBI and rurality, work environment, medical conditions, medication/substance use, and adversity. Recommended exploration into lesser-researched SDoH is discussed, and the expansion of this review to other aspects of the TBI continuum is warranted.

"It's day to day problems:" Experiences of people with aphasia who live alone

PURPOSE

Living alone is increasing and associated with health and social risks. Aphasia compounds these risks but there is little research on how living alone interacts with aphasia. This study is a preliminary exploration of this issue.

METHOD

Five people with aphasia who lived alone participated in two supported semi-structured interviews, with the second interview including sharing an artefact that held significance for living alone with aphasia. Interviews were recorded, transcribed verbatim, and analysed through reflexive thematic analysis.

RESULT

Four themes encompassed meaning-making about living alone with aphasia: relationships and reliance on others; risk, vulnerability, and uncertainty; loneliness and time alone; self-reliance and the need to keep busy. Participants had to continuously manage and renegotiate daily challenges around living alone with aphasia.

CONCLUSION

Living alone increases the risk of loneliness. For people with aphasia, the buffer against loneliness provided by social connection and meaningful activity may be more difficult to achieve because of communication challenges. While experiences vary, reliance on others, managing practical and administrative tasks, and negotiating risks are all important issues when alone. The intersection of living alone, loneliness, and living with aphasia needs more research, and more explicit clinical focus when discussing and planning intervention and support.

Impact of post-stroke aphasia on functional communication, quality of life, perception of health and depression: A case-control study

BACKGROUND AND PURPOSE

Post-stroke aphasia is associated with a reduced quality of life (QoL) and higher risk of depression. Few studies have addressed the effect of coping with aphasia. Our aim is to evaluate the impact of post-stroke aphasia on self-reported QoL and symptoms of depression.

METHODS

This was a cross-sectional prospective case-control study. Cases involved patients with post-stroke aphasia included in the DULCINEA trial (NCT04289493). Healthy controls were recruited using snowball sampling. All subjects completed the following questionnaires: General Health Questionnaire (GHQ-12), Stroke Aphasia Quality of Life Scale (SAQOL-39), Communicative Activity Log (CAL) and Stroke Aphasic Depression Questionnaire (SADQ-10).

RESULTS

Twenty-three patients (eight women; mean age 62.9 years) and 73 controls (42 women; mean age 53.7 years) were included. Cases scored lower than controls in perception of health (GHQ-12: median 3 [IQR 1; 6] vs. 0 [IQR 0; 2]) and perception of QoL (SAQOL-39: median 3.6 [IQR 3.3; 40] vs. 4.6 [IQR 4.2; 4.8]). Functional communication (CAL: median 135 [IQR 122; 148] vs. 94 [IQR 74; 103]) and SAQOL-39 communication subscale (median 2.7 [IQR 2.1; 3.2] vs. 4.8 [IQR 4.6; 5.0]) were also significantly lower in the case group. Notably, cases reported fewer depressive symptoms than controls (SADQ-10: median 11 [IQR 9; 15] vs. 13 [IQR 11; 16]; p = 0.016). A mediational analysis revealed that the relationship between post-stroke aphasia and depression was not mediated by functional communication.

CONCLUSIONS

Although communication difficulties impact the QoL of patients with post-stroke aphasia, such patients report fewer depressive symptoms on the SADQ-10 scale than healthy people, with no differences in scores related to social participation.

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.

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.

Looking Upstream to Understand Race/Ethnicity as a Moderator for Poststroke Neuroinflammation and a Social Determinant for Poststroke Aphasia Outcomes

INTRODUCTION

Over the past decade, the stroke literature has begun to acknowledge and explore explanations for longstanding racial/ethnic differences in stroke outcomes. Poststroke cognitive impairment (PSCI) and poststroke aphasia are two such negative poststroke outcomes where racial/ethnic differences exist. Physiological differences, such as stroke type and lesion size, have been used to partially explain the variation in PSCI and aphasia. However, there is some evidence, although limited, that suggests neuroinflammatory processes as part of allostatic load may be a key contributor to the observed disparities.

METHOD

In this tutorial, we explore the influence of race differences in inflammation on poststroke cognitive outcomes. We suggest lifetime stress and other external determinants of health such as neighborhood environment and discriminatory practices through "weathering" explain differences in inflammation. While using an allostatic load framework, we explore the literature focusing specifically on the role of neuroinflammation on poststroke outcomes.

CONCLUSIONS

Examination of the immune response poststroke provides a foundation for understanding the mechanisms of PSCI and poststroke aphasia and the potential contributions of neuroinflammatory processes on poststroke cognitive outcomes. Furthermore, understanding of racial differences in those processes may contribute to a better understanding of racial disparities in general stroke outcomes as well as poststroke aphasia.