Assessing the Role of Asthma on the Relationship between Neurodevelopmental Disabilities and Adverse Birth Outcomes.

BACKGROUND: Investigating asthma as an effect modifier between adverse birth outcomes and neurodevelopmental disabilities (NDDs) across different races is crucial for tailored interventions and understanding variable susceptibility among diverse populations. METHODS: Data were collected through the National Survey of Children's Health. This cross-sectional study included 131,774 children aged 0 to 17 years. Study exposures comprised adverse birth outcomes including preterm birth and low birth weight. Weighted prevalence estimates and odds ratios with 95% confidence intervals (CIs) among children with and without adverse birth outcomes were calculated for NDDs including attention-deficit/hyperactivity disorder, autism spectrum disorder, cerebral palsy, seizure, and several others including behavior problems. Adjusted odds ratios were stratified by asthma status and separate interactions were assessed for each outcome. RESULTS: Of 131,774 participants, 10,227 were born low birth weight (9.12%; 95% CI: 8.77% to 9.49%), 14,058 were born preterm (11.35%; 95% CI: 10.94% to 11.76%), and 16,166 participants had asthma (11.97%; 95% CI: 11.58% to 12.37%). There were 68,100 males (51.11%), 63,674 females (48.89%), 102,061 non-Hispanic Whites (NHW) (66.92%), 8,672 non-Hispanic Blacks (NHB) (13.97%), and 21,041 participants (19.11%) categorized as other. NHB children with adverse birth outcomes had higher prevalence of several NDDs compared to NHW children. CONCLUSIONS: Asthma was not shown to be an effect modifier of the association between adverse birth outcomes and NDDs. Nevertheless, these results suggest that NDDs are more prevalent within US children with adverse birth outcomes, with higher rates among NHB compared to NHW children. These findings support screening for NDDs in pediatric health care settings among patients with adverse birth outcomes, particularly among those from ethnic minority backgrounds.

Geographic and Racial/Ethnic Differences in Access to Methamphetamine Detoxification Services, United States, 2021.

INTRODUCTION: Methamphetamine detoxification before entering formal and longer term treatment may have a positive impact on treatment retention and success. Understanding geographic distribution of methamphetamine specialty detox services and differential access by race/ethnicity is critical for establishing policies that ensure equitable access across populations. METHODS: We used the Mental health and Addiction Treatment Tracking Repository to identify treatment facilities that offered any substance use detoxification in 2021 (N=2346) as well as the census block group in which they were located. We sourced data from the US Census Bureau to identify the percentage of a census block group that was White, Black, and Hispanic. We used logistic regression to model the availability of methamphetamine-specific detox, predicted by the percentage of a block group that was Black and Hispanic. We adjusted for relevant covariates and defined state as a random effect. We calculated model-based predicted probabilities. RESULTS: Over half (60%) of detox facilities offered additional detox services specifically for methamphetamine. Sixteen states had <10 methamphetamine-specific detox facilities. The predicted probability of methamphetamine-specific detox availability was 60% in census block groups with 0%-9% Black residents versus only 46% in census block groups with 90%-100% Black residents, and was 61% in census block groups with 0%-9% Hispanic residents versus 30% in census block groups with 90%-100% Hispanic residents. CONCLUSIONS: During an unprecedented national methamphetamine crisis, access to a critical health care service was disproportionately lower in communities that were predominately Black and Hispanic. We orient our findings around a discussion of health disparities, residential segregation, and the upstream causes of the systematic exclusion of minoritized communities from health care.

The association between rurality, dual Medicare/Medicaid eligibility and chronic conditions with telehealth utilization: An analysis of 2019-2020 national Medicare claims.

INTRODUCTION: Telehealth services have the potential to increase healthcare access among underserved populations, such as rural residents and racial/ethnic minority groups. The COVID-19 public health emergency led to unprecedented growth in telehealth utilization, but evidence suggests the growth has not been equitable across all patient populations. This study aimed to explore whether telehealth utilization and expansion changed equitably from 2019 to 2020 among sub-groups of Medicare beneficiaries. METHODS: We conducted an analysis of telehealth utilization among a 20% random sample of 2019-2020 Medicare beneficiaries on a national level. We fit multivariable logistic regression models and calculated average marginal effects (AME) to assess the association between demographic and clinical characteristics on telehealth utilization. RESULTS: We found telehealth utilization was less likely among non-Hispanic Black/African-American (2019: adjusted odds ratio [aOR] = 0.77, AME = -0.15; 2020: aOR = 0.85, AME = -3.50) and Hispanic (2019: aOR = 0.79, AME = -0.13; 2020: aOR = 0.87, AME = -2.89) beneficiaries, relative to non-Hispanic White beneficiaries in both 2019 and 2020, with larger disparities in 2020. Rural beneficiaries were more likely to utilize telehealth than urban beneficiaries in 2019 (aOR = 2.62, AME = 0.84), but less likely in 2020 (aOR = 0.57, AME = -14.47). In both years, dually eligible Medicare/Medicaid beneficiaries were more likely than non-dually eligible beneficiaries to utilize telehealth (2019: aOR = 4.75, AME = 0.84; 2020: aOR = 1.34, AME = 2.25). However, the effects of dual eligibility and rurality changed in both models as the number of chronic conditions increased. DISCUSSION: We found evidence of increasing disparities in telehealth utilization among several Medicare beneficiary sub-groups in 2020 relative to 2019, including individuals of minority race/ethnicity, rural residents, and dually eligible beneficiaries, with disparities increasing among individuals with more chronic conditions. Although telehealth has the potential to address health inequities, our findings suggest that many of the patients in greatest need of healthcare are least likely to utilize telehealth services.

We are complex beings: comparison of statistical methods to capture and account for intersectionality.

OBJECTIVES: Intersectionality conceptualises how different parts of our identity compound, creating unique and multifaceted experiences of oppression. Our objective was to explore and compare several quantitative analytical approaches to measure interactions among four sociodemographic variables and interpret the relative impact of axes of marginalisation on self-reported health, to visualise the potential elevated impact of intersectionality on health outcomes. DESIGN: Secondary analysis of National Epidemiologic Survey on Alcohol and Related Conditions-III, a nationally representative cross-sectional study of 36 309 non-institutionalised US citizens aged 18 years or older. PRIMARY OUTCOME MEASURES: We assessed the effect of interactions among race/ethnicity, disability status, sexual orientation and income level on a self-reported health outcome with three approaches: non-intersectional multivariate regression, intersectional multivariate regression with a single multicategorical predictor variable and intersectional multivariate regression with two-way interactions. RESULTS: Multivariate regression with a single multicategorical predictor variable allows for more flexibility in a logistic regression problem. In the fully fitted model, compared with individuals who were white, above the poverty level, had no disability and were heterosexual (referent), only those who were white, above the poverty level, had no disability and were gay/lesbian/bisexual/not sure (LGBQ+) demonstrated no significant difference in the odds of reporting excellent/very good health (aOR=0.90, 95% CI=0.71 to 1.13, p=0.36). Multivariate regression with two-way interactions modelled the extent that the relationship between each predictor and outcome depended on the value of a third predictor variable, allowing social position variation at several intersections. For example, compared with heterosexual individuals, LGBQ+ individuals had lower odds of reporting better health among whites (aOR=0.94, 95% CI=0.93 to 0.95) but higher odds of reporting better health among Black Indigenous People of Color (BIPOC) individuals (aOR=1.13, 95% CI=1.11 to 1.15). CONCLUSION: These quantitative approaches help us to understand compounding intersectional experiences within healthcare, to plan interventions and policies that address multiple needs simultaneously.

National and state-level trends in the availability of mental health treatment services tailored to individuals ordered to treatment by a court: United States, 2016, 2018, and 2020.

PURPOSE: We sought to identify trends and characteristics associated with the availability of tailored mental health services for individuals involved in the criminal justice system and ordered to treatment by a court, nationally in the US and by state. METHODS: We used National Mental Health Services Survey to identify outpatient mental health treatment facilities in the US (2016 n = 4744; 2018 n = 4626; 2020 n = 4869). We used clustered multiple logistic regression to identify changes over time as well as facility- and state-level factors associated with the availability of specialty court-ordered services. RESULTS: Slightly more than half of the outpatient mental health treatment facilities offered specialized services for individuals ordered to treatment by a court, with wide variation between states. Nationally, there was a significant increase in the odds of offering court-ordered treatment in 2020 compared to 2016 (aOR = 1.16, 95% CI = 1.06-1.27, p < 0.01). Notable associations included offering integrated substance use treatment (versus none, aOR = 2.95, 95% CI = 2.70-3.22, p < 0.0001) and offering trauma therapy (versus none, aOR = 2.05, 95% CI = 1.85-2.27, p < 0.0001). CONCLUSION: The availability of mental health services for individuals ordered to treatment by a court is growing nationally but several states are lagging behind. Court ordered treatment is a promising strategy to improve health and reduce reliance on the carceral system as a healthcare provider. At the same time, we express caution around disparities within behavioral health courts and advocate for equity in access to incarceration alternatives.

Comprehensive and Integrated Services in Specialty Mental Health Treatment Facilities in the US: Differences by the Racial/Ethnic Composition of the Facility's Clientele, 2020.

The integration of multiple ancillary services into mental health treatment settings may improve outcomes, but there are no national studies addressing whether comprehensive services are distributed equitably. We investigated whether the availability of a wide range of service types differs based on the facility's racial/ethnic composition. We used the 2020 National Mental Health Services Survey to identify twelve services offered in outpatient mental health treatment facilities (N = 1,074 facilities). We used logistic regression to model each of the twelve services, predicted by the percentage of a facility's clientele that was White, Black, and Hispanic, adjusted for covariates. Facilities with the highest proportions of Black and Hispanic clientele demonstrated the lowest predicted probabilities of offering comprehensive and integrated services. Our findings offer context around upstream factors that may, in part, drive treatment disparities. We orient our findings around frameworks of structural racism and inequities in mental healthcare.

Evaluating the substance use disorder treatment gap in the United States, 2016-2019: A population health observational study.

BACKGROUND AND OBJECTIVES: Only 10% of Americans with substance use disorders (SUDs) receive treatment with insufficient treatment access and screening practices proposed and potential contributing factors. METHODS: This retrospective cross-sectional study used National Survey on Drug Use and Health (NSDUH) data to assess individuals with SUDs receiving treatment between 2016 and 2019 (survey n = 12,111; weighted n = 12,394,214). Demographic, access, and screening characteristics were investigated as predictors of treatment receipt using time-series logistic regression analyses to test trends and assessed treatment receipt odds, controlling for demographic and treatment characteristics. RESULTS: For those with past-year SUDs, 13.0% reported receiving past-year SUD treatment (survey n = 1605; weighted n = 1,612,154). The SUD treatment receipt rate remained statistically stable from 2016 to 2019, with a nonsignificant treatment receipt trend declining from 14% to 12%. Treatment changes were notable among Native Americans (+53.80%), Pacific Islanders (+94.10%), multiracial (-59.96%), ages 65+ (-70.18%), and ages 12-17 (-50.70%). In the regression model, race, sex, age, insurance status, and receiving mental health treatment were associated with SUD treatment receipt. DISCUSSION AND CONCLUSIONS: The treatment gap remains substantial and stable. Annually, about 87% of Americans with SUDs are not receiving the treatment they need. Asian Americans were less likely and those attending general mental health services were more likely to receive treatment. SCIENTIFIC SIGNIFICANCE: We present an updated SUD treatment gap evaluation, and identify access and screening characteristics associated with SUD treatment receipt. Policymakers, clinicians, and researchers must continue improving access and identification of those in need of care.

Temporal Trends in Telehealth Availability in Mental Health Treatment Settings: Differences in Growth by State Rurality, 2015-2020.

We sought to investigate temporal trends in telehealth availability among outpatient mental health treatment facilities and differences in the pace of telehealth growth by state urbanicity and rurality. We used the National Mental Health Services Survey (2015-2020) to identify outpatient mental health treatment facilities in the US (N = 28,989 facilities; 2015 n = 5,018; 2020 n = 4,889). We used logistic regression to model telehealth, predicted by time, state rurality (1 to 10% rural, 10 to < 20%, 20 to < 30%, or [Formula: see text] 30%), and their interaction, and adjusted for relevant covariates. We estimated the predicted probability of telehealth based on our model. We estimated effects with and without data from 2020 to assess whether the rapid and widespread adoption of telehealth during the COVID-19 pandemic changed the rural/urban trajectories of telehealth availability. We found that telehealth grew fastest in more urban states (year*rurality interaction p < 0.0001). Between 2015 and 2020, the predicted probability of telehealth in more urban states increased by 51 percentage points (from 9 to 61%), whereas telehealth in more rural states increased by 38 percentage points (from 23 to 61%). Predicted telehealth also varied widely by state, ranging from more than 75% of facilities (RI, OR) to below 20% (VT, KY). Health systems and new technological innovations must consider the unique challenges faced by urban populations and how best practices may be adapted to meet the growing urban demand. We framed our findings around the need for policies that minimize barriers to telehealth.

A State Profile of Disparities in Telehealth Utilization Among Medicare Beneficiaries: An Intersection Between Race/Ethnicity, Rurality, and Chronic Conditions-Arkansas, 2019.

Introduction: The COVID-19 pandemic brought about renewed interest and investment in telehealth, while also highlighting persistent health disparities in the Southern states. Little is known about the characteristics of those utilizing telehealth services in Arkansas, a rural Southern state. We sought to compare the characteristics of telehealth utilizers and nonutilizers among Medicare beneficiaries in Arkansas before the COVID-19 public health emergency to provide a baseline for future research investigating disparities in telehealth utilization. Methods: We used Arkansas Medicare beneficiary data (2018-2019) to model telehealth use. We included interactions to assess how the association between the number of chronic conditions and telehealth was moderated by race/ethnicity and rurality, adjusted for covariates. Results: Overall telehealth utilization in 2019 was low (n = 4,463; 1.1%). The adjusted odds of utilizing telehealth was higher for non-Hispanic Black/African Americans (vs. white, adjusted odds ratio [aOR] = 1.34, 95% confidence interval [CI] = 1.17-1.52), rural beneficiaries (aOR = 1.99, 95% CI = 1.79-2.21), and those with more chronic conditions (aOR = 1.23, 95% CI = 1.21-1.25). Race/ethnicity and rurality were significant moderators, such that the association between the number of chronic conditions and telehealth was strongest among white and among rural beneficiaries. Discussion: Among the 2019 Arkansas Medicare beneficiaries, having more chronic conditions was most strongly associated with telehealth use among white and rural individuals, while the effect was not as pronounced for Black/African American and urban individuals. Our findings suggest that advances in telehealth are not benefiting all Americans equally, with aging minoritized communities continuing to engage with more strained and underresourced health systems. Future research should investigate how upstream factors such as structural racism perpetuate poor health outcomes.

County-level jail incarceration, community economic distress, rurality, and preterm birth among women in the US South.

Introduction: The USA has higher rates of preterm birth and incarceration than any other developed nation, with rates of both being highest in Southern states and among Black Americans, potentially due to rurality and socioeconomic factors. To test our hypothesis that prior-year county-level rates of jail admission, economic distress, and rurality were positively associated with premature birth rates in the county of delivery in 2019 and that the strength of these associations is greater for Black women than for White or Hispanic women, we merged five datasets to perform multivariable analysis of data from 766 counties across 12 Southern/rural states. Methods: We used multivariable linear regression to model the percentage of babies born premature, stratified by Black (Model 1), Hispanic (Model 2), and White (Model 3) mothers. Each model included all three independent variables of interest measured using data from the Vera Institute, Distressed Communities Index, and Index of Relative Rurality. Results: In fully fitted stratified models, economic distress was positively associated with premature births among Black (F = 33.81, p < 0.0001) and White (F = 26.50, p < 0.0001) mothers. Rurality was associated with premature births among White mothers (F = 20.02, p < 0.0001). Jail admission rate was not associated with premature births among any racial group, and none of the study variables were associated with premature births among Hispanic mothers. Conclusions: Understanding the connections between preterm birth and enduring structural inequities is a necessary scientific endeavor to advance to later translational stages in health-disparities research.

Surveillance of COVID-19 outbreaks in prisons in the US South: The role of economic distress in the communities surrounding prison facilities.

Introduction: The US South is the epicenter of the epidemic of mass incarceration. Prisons have experienced substantial challenges in preventing COVID-19. Incarcerated individuals and prison staff are at a high risk for infection due to minimal available preventive measures. Prisons are not closed systems and many staff come from communities in close proximity to the facility. Characteristics of the communities immediately surrounding prisons are an overlooked but critical factor to better understand the role prisons play in pandemics. Methods: We used facility-level COVID-19 data from the COVID Prison Project to identify the number of unique outbreaks between May 2019 and May 2020. We used a county-level composite indicator of economic distress (DCI score) to identify the environment surrounding each prison (2015-2019). We modeled the number of outbreaks to DCI scores using negative binomial regression, adjusting for race/ethnicity (African American and Latino/Hispanic), age (65 and older), and rurality level. Results: Our sample included 570 prisons in 368 counties across 13 Southern states. We found that score was positively and significantly associated with prison COVID-19 outbreaks (aRR, 1.012; p < 0.0001), and rurality was potentially a stronger surrogate measure of economic distress (aRR, 1.35; p, 0.02). Economic stability is a key precursor to physical health. Poorer communities have been disproportionately impacted by the pandemic, and we found that prisons located in these communities were more susceptible to recurring outbreaks. Prison-based disease prevention interventions should consider the impact that the outside world has on the health of incarcerated individuals.

The competing effects of racial discrimination and racial identity on the predicted number of days incarcerated in the US: A national profile of Black, Latino/Latina, and American Indian/Alaska Native populations.

OBJECTIVE: Racial discrimination and racial identity may compete to influence incarceration risk. We estimated the predicted days incarcerated in a national US sample of Black, Latino/Latina, and American Indian/Alaska Native (AI/AN) individuals. METHODS: We used the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 14,728) to identify individual incarceration history. We used zero-inflated Poisson regression to predict the number of days incarcerated across racial discrimination and racial identity scores. RESULTS: Racial discrimination and identity varied between races/ethnicities, such that racial discrimination exposure was highest among Hispanic individuals, while racial identity was highest among Black individuals. Racial discrimination was positively associated with days incarcerated among Black individuals (ß = 0.070, p<0.0001) and AI/AN individuals (ß = 0.174, p<0.000). Racial identity was negatively associated with days incarcerated among Black individuals (ß = -0.147, p<0.0001). The predicted number of days incarcerated was highest among Black individuals (130 days) with high discrimination scores. CONCLUSION: Racial discrimination and racial identity were associated with days incarcerated, and the association varied by racial/ethnic sub-group. Informed by these findings, we suggest that intervention strategies targeting incarceration prevention should be tailored to the unique experiences of racial/ethnic minoritized individuals at the greatest risk. Policies aimed at reversing mass incarceration should consider how carceral systems fit within the wider contexts of historical racism, discrimination, and structural determinants of health.

"Everything has changed": detention officer roles and recreation time changes due to COVID-19 policies at a Southwest County Jail.

BACKGROUND: The COVID-19 pandemic responses in jails have forced detention officers to adjust how they approach the confinement and care of individuals while they are incarcerated. One aspect of incarceration affected was detention officers' roles. The aims of this research project were to determine how the COVID-19 pandemic has affected the general duties of detention officers at a Southwest County Jail. Detention officers were recruited via email to participate in an online questionnaire from October to December 2020. Participants answered Likert scale and open-ended questions regarding how the COVID-19 pandemic has affected their job duties. Descriptive statistics and thematic analysis were used to identify themes and patterns in the responses. RESULTS: Among 24 detention officers, 87% indicated agreement that the COVID-19 pandemic has significantly changed the duties of detention officers at CCDF. The most discussed change was the introduction of a 14-day quarantine process for newly incarcerated individuals. The 14-day quarantine increased the workload of detention officers. CONCLUSION: The COVID-19 pandemic responses in jail may have unintended negative consequences for the job duties of detention officers. Current and future pandemic response strategies in jails would benefit from taking staff perspectives into consideration as they are directly impacted by the COVID-19 response strategies put into place. Policy implications are discussed.

Demographic and geographic shifts in the preferred route of methamphetamine administration among treatment cases in the US, 2010-2019.

BACKGROUND: Methamphetamine use disorder has increased rapidly in the past decade. Injecting is also increasing and has multifaceted implications for disease severity, overall health, and treatment outcomes, but less is known about where or among whom injecting has shifted the most. This national study assessed temporal changes in the preferred route of methamphetamine administration by race/ethnicity and within urban/rural geographies. METHODS: We used the Treatment Episode Dataset-Discharges (2010-2019) to identify outpatient treatment cases who reported methamphetamine as their primary drug of choice at admission (N = 531,799; 2010 n = 33,744; 2019 n = 81,885). We created a combined variable indicating race/ethnicity and the rural/urban location of treatment, and used logistic regression to model the predicted probability of cases reporting injection, smoking, or snorting as their preferred route of administration. We included an interaction term to determine differences over time (race/ethnicity/rurality*year). RESULTS: Across all years, smoking methamphetamine was the most common route of administration (66%), followed by injection (24%) and snorting (10%). Over time and among most sub-groups, the rates of injection increased while the rates of smoking decreased. Compared to 2010, the odds of injecting methamphetamine in 2019 were highest among Black cases in urban areas (aOR = 2.30, 95% CI = 1.76-3.00, p < 0.0001). CONCLUSION: Increasing methamphetamine injection was most pronounced among Black treatment cases in more urban areas, which is in contrast to the longstanding narrative that methamphetamine is a White and rural drug. Methamphetamine prevention, treatment, and harm reduction should target populations with high injection prevalence and growing incidence.

Downward National Trends in Mental Health Treatment Offered in Spanish: State Differences by Proportion of Hispanic Residents.

Objective: This study aimed to determine how the prevalence of mental health treatment facilities that offer services in Spanish has changed over time in the United States. Methods: Data from the National Mental Health Services Survey conducted in 2014 (N=13,015 facilities) and 2019 (N=12,345 facilities) were used to measure changes in the proportions of facilities that offered treatment in Spanish overall and by year, state, and proportion of Hispanic residents. Descriptive statistics were used to illustrate state-level changes in services offered in Spanish. Results: Between 2014 and 2019, the national Hispanic population increased by 4.5%, or 5.2 million people. During the same period, the proportion of facilities that offered treatment in Spanish declined by 17.8%, or a loss of 1,163 Spanish-speaking mental health facilities. Overall, 44 states saw a decline in the availability of services in Spanish, despite growth in Hispanic populations across all states. Among states with the fastest Hispanic population growth, several also experienced the greatest reduction in Spanish-language services. Conclusions: The findings indicate that availability of Spanish-language mental health services decreased in most U.S. states during 2014­2019. Promoting mental health service delivery in Spanish is critical for reducing barriers to treatment and ensuring health equity across populations.

Homeless Opioid Treatment Clients Transitioning to Dependent and Independent Housing: Differential Outcomes by Race/Ethnicity.

Purpose: Homeless opioid treatment clients who transition into housing generally demonstrate better outcomes, but housing environments vary widely and may not benefit racial/ethnic minority populations equally. We sought to identify how race/ethnicity moderates the association between positive opioid treatment response and moving into dependent or independent living environments. Methods: We used the Treatment Episode Dataset-Discharges (2018-2019) to identify outpatient treatment clients who were homeless at admission and indicated heroin or other opioids as their primary drug of choice (n = 20,021). We defined positive treatment response as a reduction in opioid use between admission and discharge. We used multivariable logistic regression to model treatment response. We included an interaction between housing at discharge (remained homeless [reference], dependent living, or independent living) and race/ethnicity, and adjusted for relevant confounders. Results: Transitioning from homeless to dependent living was positively associated with treatment response among White (aOR = 3.57, 95% CI = 3.15-4.06), Hispanic (aOR = 2.11, 95% CI = 1.55-2.86), and Black clients (aOR = 1.79, 95% CI = 1.41-2.27), but no association was observed for homeless American Indian/Alaska Native clients. Transitioning from homeless to independent living was strongly associated with treatment response among all groups with the strongest association observed among White clients (aOR = 4.70, 95% CI = 4.26-5.19). Conclusions: Interventions aimed at improving OUD treatment outcomes among homeless clients should identify individual and structural factors that support moving into fully housed and independent living environments. Dependent living offers needed support during crises, but should be temporary and priority should be placed on independent, permanent, and autonomous living environments.

Factors supporting substance use improvement for Black Americans: A population health observational study.

BACKGROUND: Black clients in substance use disorder (SUD) treatment are associated with the lowest successful completion and substance use reductions. More work is needed to identify specific factors that support successful recovery of Black clients. METHODS: Data from U.S. outpatient SUD treatment facilities receiving public funding from 2015 to 2019 were analyzed (N = 2239,197). Primary analyses consisted of Black clients (n = 277,726) reporting admission and discharge substance use frequency. Multiple logistic regression was used to predict substance use frequency improvement from Black client demographic, recovery capital, treatment characteristics, and state. Disparities were compared between Black and non-Black clients. RESULTS: The overall Black client improvement percentage was 46.95%. Mutual-help group attendance and Length of Stay demonstrated clinically meaningful effect sizes controlling for all other variables and state. Attending mutual-help groups 8-30 times per month (State aOR = 2.54, 95% CI = 2.43, 2.64) and outpatient treatment stays of 4 months or more (State aOR = 2.50, 95% CI = 2.44, 2.56) were factors supporting Black client improvement. Importantly, states are associated with disparate Black client risk differences and only South Dakota had greater Black improvement (RD = 6.35, 95% CI = 1.00, 11.71). CONCLUSIONS: Black client factors supporting substance use improvement include ancillary mutual-help group attendance and increased treatment retention. These factors may be more critical in states with larger Black improvement disparities. In general, treatment providers increasing access to mutual-help groups, and adjusting program inclusiveness and motivational factors for retention, would make strides in increasing improvement outcomes for Black clients.

Individual and Health Policy Factors Associated With Positive Heroin and Opioid Treatment Response: United States, 2018.

Objectives. To identify client- and state-level factors associated with positive treatment response among heroin and opioid treatment episodes in the United States. Methods. We used national data from 46 states using the Treatment Episode Dataset‒Discharges (2018) to identify heroin and opioid treatment episodes (n = 162 846). We defined positive treatment response as a decrease in use between admission and discharge. We used multivariable regression, stratified by race/ethnicity, to identify demographic, pain-related, and state-level factors associated with positive treatment response. Results. Lower community distress was the strongest predictor of better treatment outcomes across all racial/ethnic groups, particularly among White and American Indian/Alaska Native episodes. A primary opioid of heroin was associated with worse outcomes among White and Hispanic episodes. Legislation limiting opioid dispensing was associated with better outcomes among Hispanic episodes. Buprenorphine availability was strongly associated with better outcomes among Black episodes. Conclusions. State-level variables, particularly community distress, had greater associations with positive treatment outcomes than client-level variables. Public Health Implications. Changes in state-level policies and increased resources directed toward areas of high community distress have the potential to improve opioid use disorder treatment and reduce racial/ethnic disparities in treatment outcomes. (Am J Public Health. 2022;112(S1):S66-S76. https://doi.org/10.2105/AJPH.2021.306503).

Patterns of Physical Activity Among Women Incarcerated in Jail.

The physical and mental health benefits of physical activity in all populations are well established. In 2019, incarcerated women at a Southwest county jail were observed during "recreation time," a time when physical activity is encouraged, to identify the proportion of women who participated in recreation time and their physical activity levels. During observed recreation times, 28% of women attended; 56% were sedentary, 4% engaged in vigorous physical activity, and approximately 40% walked or performed similarly moderate physical activity. Future research should identify barriers to being physically active while incarcerated, leading to targeted interventions to promote physical activity.