The Role of State Medicaid Expansions in Integrating Comprehensive Mental Health Services into Opioid Treatment Programs: Differences Across the Rural/Urban Continuum.

Co-occurring mental health (MH) problems are common among those with opioid use disorders (OUDs). However, most opioid treatment programs (OTPs) do not provide MH services. We measured the association between state level characteristics (Medicaid expansion status and rurality) and MH/OUD services integration. We used a generalized linear model to estimate how the association between integration and Medicaid expansions varied across levels of rurality (National Survey on Substance Abuse Treatment Services; 2018; n = 1507 OTPs). The predicted probability of OTPs offering MH services decreased as rurality increased, and the strength of the negative association was greater in non-expansion states ([Formula: see text]=-0.038, SE = 0.005, p < 0.0001) than in expansion states ([Formula: see text]=-0.020, SE = 0.003, p < 0.0001). Access to integrated MH services was lowest in rural non-Medicaid expansion states, despite the high risk of opioid misuse and a high need for MAT and MH services in this population.

US trends in mask wearing during the COVID-19 pandemic depend on rurality.

INTRODUCTION: Face masks are widely recommended as a COVID-19 prevention strategy. State mask mandates have generally reduced the spread of the disease, but decisions to wear a mask depend on many factors. Recent increases in case rates in rural areas following initial outbreaks in more densely populated areas highlight the need to focus on prevention and education. Messaging about disease risk has faced challenges in rural areas in the past. While surges in cases within some communities are likely an impetus for behavior change, rising case rates likely explain only part of mask-wearing decisions. The current study examined the relationship between county-level indicators of rurality and mask wearing in the USA. METHODS: National data from the New York Times' COVID-19 cross-sectional mask survey was used to identify the percentage of a county's residents who reported always/frequently wearing a mask (2-14 July 2020). The New York Times' COVID-19 data repository was used to calculate county-level daily case rates for the 2 weeks preceding the mask survey (15 June - 1 July 2020), and defined county rurality using the Index of Relative Rurality (n=3103 counties). Multivariate linear regression was used to predict mask wearing across levels of rurality. The model was adjusted for daily case rates and other relevant county-level confounders, including county-level indicators of age, race/ethnicity, gender, political partisanship, income inequality, and whether each county was subject to a statewide mask mandate. RESULTS: Large clusters of counties with high rurality and low mask wearing were observed in the Midwest, upper Midwest, and mountainous West. Holding daily case rates and other county characteristics constant, the predicted probability of wearing a mask decreased significantly as counties became more rural (β=-0.560; p<0.0001). CONCLUSION: Upticks in COVID-19 cases and deaths in rural areas are expected to continue, and localized outbreaks will likely occur indefinitely. The present findings highlight the need to better understand the mechanisms underlying perceptions of COVID-19 risk in rural areas. Dissemination of scientifically correct and consistent information is critical during national emergencies.

Adverse Childhood Events in American Indian/Alaska Native Populations.

INTRODUCTION: Adverse childhood experiences are linked to deleterious outcomes in adulthood. Certain populations have been shown to be more vulnerable to adversity in childhood than others. Despite these findings, research in this area lacks an empirical investigation that examines adverse childhood experiences among American Indian and Alaska Native populations using large, nationally representative data. As such, the authors have compiled what they believe is the largest empirical investigation of adverse childhood experiences among American Indian and Alaska Native individuals to date. METHODS: Data were collected from the Behavioral Risk Factor Surveillance System from 34 states (2009-2017), whereby all individuals self-report as American Indian and Alaska Native (N=3,894). Adverse childhood experience scores were calculated and further stratified by sex, age, household income, education, employment status, sexual orientation, Census region, and state. In addition, frequencies and prevalence of each adverse childhood experience domain (stratified by the same categories) were calculated. Analysis was conducted in 2019. RESULTS: The average adverse childhood experience score among American Indians and Alaska Natives was 2.32, higher than those of individuals identifying as White (1.53), Black (1.66), and Hispanic (1.63). Female participants had a higher average adverse childhood experience score than male participants (2.52 vs 2.12). Generally, younger individuals and those with lower incomes reported higher adverse childhood experience scores, whereas those with higher educational attainment reported lower scores. CONCLUSIONS: Compared with the few studies among American Indian and Alaska Native populations that have used either smaller samples or nontraditional adverse childhood experience data (i.e., asking parents about their children's experiences), these results present overall higher adverse childhood experience averages than previously published studies. Nevertheless, aligning with other research on adverse childhood experiences, female individuals, younger adults, and sexual minorities reported higher adverse childhood experiences scores than other categories in their respective demographics.

Dual mental health diagnoses predict the receipt of medication-assisted opioid treatment: Associations moderated by state Medicaid expansion status, race/ethnicity and gender, and year.

BACKGROUND: Mental health diagnoses (MHD) are common among those with opioid use disorders (OUD). Methadone/buprenorphine are effective medication-assisted treatment (MAT) strategies; however, treatment receipt is low among those with dual MHDs. Medicaid expansions have broadly increased access to OUD and mental health services over time, but MAT uptake may vary depending on multiple factors, including MHD status, state Medicaid expansion decisions, and race/ethnicity and gender. Examining clinical and policy approaches to promoting MAT uptake may improve services among marginalized groups. METHODS: MAT treatment discharges were identified using the Treatment Episodes Dataset-Discharges (TEDS-D; 2014-2017) (n = 1,400,808). We used multivariate logistic regression to model MAT receipt using interactions and adjusted for several potential confounders. RESULTS: Nearly one-third of OUD treatment discharges received MAT. Dual MHDs in both expansion and non-expansion states were positively associated with MAT uptake over time. Dual MHDs were negatively associated with MAT receipt only among American Indian/Alaska Native women residing in Medicaid expansion states (aOR = 0.58, 95 % CI = 0.52-0.66, p < 0.0001). CONCLUSION: Disparities in MAT utilization are nuanced and vary widely depending on dual MHD status, Medicaid expansion, and race/ethnicity/gender. Medicaid is beneficial but not a universal treatment panacea. Clinical decisions to initiate MAT are dependent on multiple factors and should be tailored to meet the needs of high-risk, historically disadvantaged clients.

Adolescent tobacco use and dependence: assessment and treatment strategies.

Tobacco use is common among children and adolescents, and about 50% who try smoking will progress to regular use and dependence. Tobacco dependence is best conceptualized as a pediatric disease that should be addressed in adolescence. This article focuses on tobacco dependence, assessment and treatment, including goals of abstinence and exposure reduction. Although more research is needed, treatment success is more likely to occur with multicomponent interventions that are tailored to the individual needs and the unique issues for this age group, including issues of parental involvement and consent for treatment, developmental issues, and patient preferences. Several school-based interventions appear promising, and many resources are available to provide education for parents, youth, and health care providers.

College counselors' use of informal language online: student perceptions of expertness, trustworthiness, and attractiveness.

The purpose of this study was to examine language formality and informality in online counseling sessions. Specifically, the author compared undergraduate student (n = 224) perceptions of college counselors' use of informal language and mirroring of client's formality in four mock online counseling scenarios. A multivariate analysis of covariance found significant differences between conditions. Pairwise analyses revealed that counselors who used informal language following their client's formal expressions were perceived as having less expertise. However, language mirroring seemed to moderate perceptions of expertise when counselors followed their client's informal language use.