Exploring Disparities in Behavioral Health Service Use in the Early Stages of the COVID-19 Pandemic.

BACKGROUND: Previous studies examined the impact of the COVID-19 pandemic on mental health, but few studies looked at associations between the pandemic and state-funded behavioral health service utilization. We aimed to examine behavioral health service utilization during the early phase of COVID-19 among individuals with psychiatric disorders (PD), substance use disorders (SUD), and co-occurring disorders (COD). METHODS: Using the last Adult Needs and Strengths Assessment (ANSA) completed in 2019 and 2020 in a Midwestern state, a column proportion test and Poisson regression model examined the associations of the pandemic year, age, gender, race/ethnicity, diagnostic type, and behavioral health needs. RESULTS: Between 2019 and 2020, the number of adults newly involved in behavioral health services increased from 11,882 to 17,385. The number of total actionable items (TAI) differed by gender and age group. Adults who were Black or American Indian were more likely to have a significantly higher number of needs that interfered with functioning (ß = 0.08; CI [0.06, 0.09]), (ß = 0.16; CI [0.08, 0.23]), respectively, than White peers. Individuals with COD showed the highest number of needs (ß = 0.27; CI [0.26, 0.28]) when compared to the needs of individuals with psychiatric disorders, after controlling for year, age, gender, and race/ethnicity. CONCLUSIONS: Additional research is needed to better understand the intersections of age, gender identity, race/ethnicity, the complexity of needs, and useful strengths. The involvement of practitioners, service organizations, researchers, and policymakers will be required to provide accessible, effective behavioral health services with cultural and developmental adaptations to support recovery.

Longitudinal Patterns of Strengths Among Youth with Psychiatric Disorders: A Latent Profile Transition Analysis.

A better understanding of variability in the strengths of youth with psychiatric disorders is critical as a strength-based approach can lead to recovery. This study aimed to identify subgroups of strengths among youth with mental disorders and determine whether subgroups changes were associated with mental health recovery. Youth with mental disorders (N = 2228) from a statewide database were identified in the state fiscal year of 2019. Using the latent profile analysis and latent transition analysis, we identified three strength profiles (i.e., essential, usable, and buildable). Over 90% of youth sustained or developed strengths over time. Positive transitions were associated with mental health recovery, symptom reduction, and personal recovery. Buildable strengths supported youth's personal recovery independent of improving mental health needs. The findings suggest that subgroups of strengths may be a promising source for planning and tracking youth's progress and guiding clinicians to more efficiently allocate community-based resources.

Predicting the Behavioral Health Needs of Asian Americans in Public Mental Health Treatment: A Classification Tree Approach.

Given the fact that experiencing pandemic-related hardship and racial discrimination worsen Asian Americans' mental health, this study aimed to identify unique characteristics of behavioral health needs among Asian Americans (N = 544) compared to White Americans (N = 78,704) and Black Americans (N = 11,252) who received publicly funded behavioral health services in Indiana before and during the COVID-19 pandemic. We used 2019-2020 Adults Needs and Strengths Assessment (ANSA) data for adults eligible for Medicaid or funding from the state behavioral health agency. Chi-squared automatic interaction detection (CHAID) was used to detect race-specific differences among demographic variables, the pandemic status, and ANSA items. Results indicated that, regardless of age, gender, or pandemic status, Asian Americans who received behavioral health services, struggled more with cultural-related factors compared to White and Black individuals. Within this context, intersections among behavioral/emotional needs (psychosis), life functioning needs (involvement in recovery, residential stability, decision making, medical/physical health), and strengths (job history, interpersonal, and spiritual) further differentiated the mental health functioning of Asian from White and Black Americans. Classification tree algorithms offer a promising approach to detecting complex behavioral health challenges and strengths of populations based on race, ethnicity, or other characteristics.

The Association Between Fatalism and Mammography Use in Korean American Immigrant Women.

Fatalism is reported as a salient cultural belief that influences cancer screening disparities in racial and ethnic minority groups. Previous studies provide a range of measures and descriptions of cancer fatalism, but no studies to our knowledge have analyzed how fatalistic views cluster together within subgroups to form distinct profiles, and how these profiles can be predicted. This study identified subgroups of Korean American immigrants with similar fatalistic beliefs toward cancer and examined the influence of fatalism, health belief variables, and health literacy on mammography use. A cross-sectional survey design was used to obtain a convenience sample of 240 Korean American immigrant women in Los Angeles, California. Latent class analysis was used to identify unobserved subgroups of fatalism. Hierarchical logistic regression models were used to identify predisposing, enabling, and need factors associated with recent mammography use. The latent class analysis model identified three cancer fatalism subgroups: high fatalism (17.8%), moderate fatalism (36.7%), and low fatalism (45.5%). Women in the high fatalism subgroup were more likely to have had a mammogram within the past 2 years than women in the low fatalism subgroup. Regression analysis revealed three facilitators of recent mammogram use: level of fatalism, perceived barriers to mammogram, and family history of cancer. Although cultural beliefs can have a powerful influence on health-seeking behavior, it is important to weigh individual and contextual factors that may weaken or mediate the relationship between fatalism and engaging in preventive care such as having a mammogram.

Longitudinal association of child maltreatment and cognitive functioning: Implications for child development.

Although research investigating associations among child maltreatment, cognitive functioning, and academic achievement has grown in recent years, important questions remain. In particular, assessing the influence of maltreatment apart from that of other co-occurring and confounding factors remains difficult. This study was developed to further the field's understanding by investigating cognitive functioning in association with time-variant maltreatment patterns. Using multiple time-variant linear mixed models, we investigated the relationships between maltreatment timing and three domains of cognitive functioning (i.e., knowledge, comprehension, and analysis). In general, the cognitive functioning of students who experienced maltreatment was lower than that of their peers who had yet to experience maltreatment at the time of testing. Results of LMM indicated that the cognitive functioning of students who experienced maltreatment concurrent with the testing year fluctuated over time whereas the cognitive functioning of students who experienced maltreatment prior to or after the testing year remained stable. Students who experienced concurrent maltreatment showed the lowest functioning of any group. While maltreatment timing was a significant predictor of cognitive functioning over time, the addition of poverty into the model resulted in a non-significant effect of maltreatment timing. Additional research is needed to disentangle the longitudinal effect of maltreatment on cognitive functioning and address the interacting role of poverty and chronic maltreatment.