Developing a Culturally Competent Neuropsychological Assessment Battery for Farsi-speaking Patients with Suspected Dementia.

OBJECTIVE: To assemble a comprehensive neuropsychological battery appropriate for differential diagnosis of dementia in Farsi-speaking Iranian adults in the United States. METHOD: Systematic searches of PubMed, PsychInfo, and Google Scholar databases were conducted to obtain test instruments relevant to Farsi speakers in consultation with a Farsi-speaking cultural broker. RESULTS: A proposed battery assessing the domains of attention, executive function, verbal and visual episodic memory, language, visuospatial/visuoconstruction abilities, and mood/anxiety was assembled that includes core measures developed, either specifically for a Farsi-speaking Iranian population or validated/normed with a Farsi-speaking Iranian sample. Though not ideal, additional measures were selected that can be administered using translated instructions with English normative data to supplement the limited tests available for use in this population. The rationale for test selection and caveats for their clinical use are presented along with a case study. CONCLUSIONS: The number of neuropsychological measures available in Farsi and/or with normative data for Farsi speakers is extremely limited. Cognitive tests either developed for or validated with a bilingual Farsi-English sample also represent a significant gap in the literature. Appropriate measures for these populations are urgently needed to provide a culturally competent assessment of a growing older adult segment of an underserved community.

Re-Engaging Individuals & Societies for Structural Evolution: A Brain Health Equity Neuropsychology Research Framework.

OBJECTIVE: A brain health equity neuropsychology research framework (NRF) is crucial to the anti-racist movement in cognitive assessments. Universalist interpretation of neuropsychological tools contributes to systemic disparities, and there is a need for a clear conceptual framework for disentangling the direct and indirect impact of social determinants of health (SDH) on brain-behavior relationships and neuropsychological performance. The aim of this paper is to present a NRF anchored in the principles of brain health and health equity that is inclusive, and can be implemented across racially and ethnically diverse communities. METHODS: The Re-engaging Individuals and societies for Structural Evolution (RISE) NRF aims to address this via a two-pronged approach: 1. Focusing on community engagement and recruitment and retention of individuals and societies typically not equitably represented in brain health studies, and 2. Integrating the conceptual structure of individual, community, and SDH, while considering the broader historical and current structures that differentially shape these. RESULTS: The proposed RISE NRF is dynamic and multidirectional. It identifies barriers and proposes strategies to engage communities and diversify recruitment. It identifies evidence-based guidance on non-cognitive determinants of health to include, consider or explore in brain health research. CONCLUSION: The RISE NRF can guide the development of culturally and linguistically responsive methodologies and assist with clearly conceptualized and contextualized interpretation of neuropsychological tools to foment a transformative science that benefits the brain health of marginalized communities.

Determining the optimal clinical cutoff on the CES-D for depression in a community corrections sample.

BACKGROUND: Screening instruments are urgently needed to rapidly and efficiently identify those in need of mental health treatment, particularly among underserved populations. Although designed initially for use in research, the CES-D has become a widely used clinical screening tool for the presence of major depression. Despite four decades and three major revisions to the DSM since the CES-D was first introduced, the cutoff score of 16 remains the marker by which individuals are assessed. The present study aims to examine an optimal cutoff score in a low-income, high-risk sample of ethnically diverse adults involved in some phase of the criminal justice system. The utility of the CES-D to detect depression in this population is unknown as these individuals are unlikely to be included in community studies of mental health. METHODS: A diverse sample of participants under criminal justice supervision (n = 500, ages 19-72) completed the CES-D at up to six time points and the MINI-D at two time-points over a year. RESULTS: Using receiver operating characteristic (ROC) curves, a cut point of 21 on the CES-D was determined to produce the best overall screening characteristics (sens = 0.82, spec = 0.76) using an efficiency calculation when compared with the gold standard MINI-D, though these results varied by race and gender. The optimal cutoff for women in this sample was determined to be 23 as opposed to 15 for men, and 20 for nonwhites versus 23 for whites. LIMITATIONS: This study is limited in its generalizability to low-income individuals without criminal justice involvement or those without substance use. CONCLUSION: Results suggest that the CES-D is a useful screening measure for depressive symptoms among high-risk individuals under criminal justice supervision. However, the current cutoff score of 16 is inadequate for optimizing true positives and false negatives. Possible gender and racial/ethnic bias may limit the utility of this instrument in this population. The current study contributes to the understanding of mental health needs in underserved populations.