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. 2022 Aug 26:13:942001.
doi: 10.3389/fneur.2022.942001. eCollection 2022.

Assessment of the individual and compounding effects of marginalization factors on injury severity, discharge location, recovery, and employment outcomes at 1 year after traumatic brain injury

Affiliations

Assessment of the individual and compounding effects of marginalization factors on injury severity, discharge location, recovery, and employment outcomes at 1 year after traumatic brain injury

Olga Garduño-Ortega et al. Front Neurol. .

Abstract

Objective: The aim of this study is to examine the effect of eight distinct marginalized group memberships and explore their compounding effect on injury severity, recovery, discharge location, and employment outcomes 1-year after traumatic brain injury (TBI).

Methods: Individuals with medically confirmed, complicated mild-severe TBI (N = 300) requiring inpatient rehabilitation care between the ages of 18 and 65 were recruited at two urban (public and private) health systems between 2013 and 2019. Data were collected from self-report and medical record abstraction. Marginalized group membership (MGM) includes racial and ethnic minority status, less than a high school diploma/GED, limited English proficiency, substance abuse, homelessness, psychiatric hospitalizations, psychiatric disorders, and incarceration history. Membership in four or more of these groups signifies high MGM. In addition, these factors were explored individually. Unadjusted and adjusted linear and logistic regressions and Kruskal-Wallis tests were used to assess the associations of interest in RStudio.

Results: After adjusting for age, sex, and cause of injury, compared to TBI patients with low MGM, those with high MGM experience significantly longer post-traumatic amnesia (95% CI = 2.70, 16.50; p = 0.007) and are significantly more likely to have a severe TBI (per the Glasgow-Coma Scale) (95% CI = 1.70, 6.10; p ≤ 0.001) than a complicated mild-moderate injury. Individuals with high MGM also are significantly less likely to be engaged in competitive paid employment 1 year after injury (95% CI = 2.40, 23.40; p = 0.001). Patients with high MGM are less likely to be discharged to the community compared to patients with low MGM, but this association was not significant (95% CI = 0.36, 1.16; p = 0.141). However, when assessing MGMs in isolation, certain associations were not significant in unadjusted or adjusted models.

Conclusion: This exploratory study's findings reveal that when four or more marginalization factors intersect, there is a compounding negative association with TBI severity, recovery, and employment outcomes. No significant association was found between high MGM and discharge location. When studied separately, individual MGMs had varying effects. Studying marginalization factors affecting individuals with TBI has critical clinical and social implications. These findings underline the importance of addressing multidimensional factors concurrent with TBI recovery, as the long-term effects of TBI can place additional burdens on individuals and their economic stability.

Keywords: discharge location; employment; injury severity; marginalization; recovery; severe TBI; traumatic brain injury.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Individual marginalization factors effects and confidence intervals from unadjusted and adjusted regression models across injury severity, discharge location, employment and Post-Traumatic Amnesia (PTA) days. Unadjusted and adjusted logistic regressions were conducted for each MGM and outcome. The odds ratios and the corresponding confidence intervals were provided as horizontal bars. The right panel shows the regression results with adjustment of age, sex, and cause of TBI. The vertical line in each panel marks where the value equals 1. The y-axis provides eight individual MGMs. The x-axis shows the values that represent the odds ratios or differences in mean. For PTA days, Kruskal–Wallis test and linear regressions adjusting for age, sex, and cause of TBI were conducted. The differences in PTA days and their confidence intervals are shown. The results of psychiatric hospitalization and employment were omitted due to the large range, as shown in Table 9.

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