To investigate differences of the perceived unmet needs in a post-acute brain injury sample when referred to Resource Facilitation (RF) among various race/ethnic groups.

The methodology utilizied within this study consisted of a retrospective chart review, which was sourced from a clinical database serving chronic outpatients in the Midwest region. The main outcome measure was the Service of Unmet Needs & Service Use (SUNSU). The sample consisted of N = 455 subjects, which included a small sample size of Hispanics (N=7). Therefore, African American and Hispanic groups were combined for a total minority sample (N=84). Clinical disorders included within the study was an ABI from either stroke, anoxic injury, ruptured aneurysm, or tumor resection surgery. Eligibility criteria included participants’ admission into a RF program, a vocational goal, and a diagnosis of a moderate to severe TBI or other ABI. Lastly, key sociodemographic features included age, race, ethnicity, education, and sex.

Significant differences were found between ethnic groups (white non-Hispanics and minority group) in terms of years of education (p=<.01). White non-Hispanics had higher education (M=13.39, SD=2.23), reported significantly more rural addresses (40.2%, p=<.01), and had private insurance coverage more frequently than the minority group (33.7%, p=<.01). The full model was statistically significant, R2=.077 = F(4,450) = 9.387, p<.0001; adjusted R2 = .069. The addition of ethnicity led to a statistically significant increase in R2 of .019, F(1,450) =9.025, p<.0005.

Ethnicity was found to be a predictive factor for greater unmet needs even after controlling for insurance, employment status, and urbanicity. It is currently unknown RF’s success rate in providing culturally competent services to different racial/ethnic groups, which consider factors such as primary language spoken, immigration status, and additional ethnocultural factors that could deter accurate reporting of unmet needs by minoritized groups. Future studies should investigate barriers in referring and meeting eligibility for this program and analyze post-treatment data to determine if the impact of racial, geographic, and insurance disparities is mitigated with RF treatment.