Characterizing Medical Complications in Publicly Insured Youth With Eating Disorders.

PURPOSE: The present study describes the occurrence of eating disorder (ED)-related medical diagnoses in a publicly insured sample of youth with EDs. The study also compares ED medical diagnoses with other psychiatric disorders and identifies high-risk demographic groups. Improved screening practices are needed in public mental health systems where treatment is critical for youth with EDs. METHODS: Medicaid claims data were obtained from the state of California, including beneficiaries ages 7-18 who had at least one service episode between January 1, 2014, and December 31, 2016. From this population we extracted demographic and claims data for those youth who received an ED diagnosis during the 3-year period as a primary or secondary diagnosis (n = 8,075). Random subsamples of youth with moderate/severe mental illness were drawn for comparison: primary or secondary diagnosis of mood/anxiety disorder (N = 8,000) or psychotic disorder (n = 8,000) were also extracted. Medical diagnoses were compared within youth with EDs (across diagnostic categories) and across psychiatric diagnoses (EDs, mood/anxiety disorders, psychotic disorders). Logistic regression analyses were used to adjust for demographic characteristics. RESULTS: Three-quarters of youth with EDs received no diagnosis of an ED-related medical complication. Bradycardia was the most prevalent diagnosis suggestive of medical instability. Odds of medical diagnosis were greater for ED than other psychiatric disorders but varied with age and gender. Across all diagnoses, Latinx youth were less likely to receive ED-related diagnoses suggesting medical instability. DISCUSSION: Most publicly insured youth with EDs received no ED-related medical diagnosis, underscoring the structural barriers to receiving expert medical care.

Exploring Demographic and Clinical Characteristics of Racially and Ethnically Diverse Youth With Eating Disorders Using California Medicaid Claims Data.

OBJECTIVE: To explore the scope of diagnosed eating disorders among Medicaid-insured youth in California, and to describe the demographic characteristics of this population in a repeated annual cross-sectional study design. METHOD: California Medicaid claims data were extracted for youth aged 7 to 18 years between January 2014 and December 2016. Participants included all youth who received an eating disorder diagnosis at any point in the study period (N = 8,075). Additional analyses compared youth with eating disorders who were continuously enrolled across all 3 years (n = 4,500) to random subsamples of continuously enrolled youth diagnosed with a mood or anxiety disorder (n = 4,128), a disruptive behavior disorder (n = 4,599), or a psychotic disorder (n = 4,290). RESULTS: About one-half of youth with eating disorders were Latinx (58.5%, n = 2,634) and indicated Spanish as their preferred language (48.9%, n = 2,199). About one-half (51%, n = 2,301) of eating disorder diagnoses were unspecified. Latinx ethnicity and Spanish language were significantly more frequent among youth with eating disorders than among those with other disorders (F11.97, F362.75, p values <.0005). CONCLUSION: The first examination of publicly insured youth with eating disorders revealed a highly diverse group of individuals among whom Latinx youth were particularly prevalent. However, past-year national prevalence estimates suggest that most eating disorder cases were undiagnosed. PLAIN LANGUAGE SUMMARY: Eating disorders affect approximately 10% of the US population and lead to serious mental health and medical problems. This study used California Medicaid claims data from 2014 to 2016 to characterize the population of youth aged 7 to 18 years with diagnosed with an eating disorder (N = 8,075). The authors found the prevalence of eating disorders among youth aged 13 to 18 years was about 0.20% across all 3 years of the study, which is far below the expected prevalence and suggests that most eating disorders in youth go undiagnosed. About half of eating disorder diagnoses provided to youth with Medicaid insurance are unspecified, which may hinder receipt of appropriate treatment. Of youth with an eating disorder, about half were Latinx and reported Spanish as their preferred language. The authors also found differences in the prevalences of eating disorder diagnoses when analyzing youth by age, sex, and ethnicity. These results suggest that more standardized screening and assessment is needed to improve eating disorders detection and diagnosis, particularly for minoritized youth.

States' racial resentment correlates with administrative distancing and lower rates of health plan selection in affordable care act marketplaces: a cross sectional analysis.

BACKGROUND: In the United States, the Affordable Care Act (ACA) pursued equity in healthcare access and treatment, but ACA implementation varied, especially limiting African Americans' gains. Marketplaces for subsidized purchase of coverage were sometimes implemented with limited outreach and enrollment assistance efforts. Reflecting state's ACA receptivity or reluctance, state's implementation may rest on sociopolitical stances and racial sentiments. Some states were unwilling to provide publicly supported healthcare to nonelderly, non-disabled adults- "the undeserving poor" -who evoke anti-black stereotypes. The present study assessed whether some states shunned Affordable Care Act (ACA) marketplaces and implemented them less vigorously than other states, leading to fewer eligible persons selecting insurance plans. It assessed if states' actions were motivated by racial resentment, because states connote marketplaces to be government assistance for unworthy African Americans. METHODS: Using marketplace and plan selection data from 2015, we rated states' marketplace structures along a four-level continuum indicating greater acceptance of marketplaces, ranging from states assuming sole responsibility to minimal responsibility. Using national data from a four-question modern racism scale, state-wide racial resentment estimates were estimated at the state level. Analysis assessed associations between state levels of racial resentment with states' marketplace structure. Further analysis assessed relationships between both state levels of racial resentment and states' marketplace structure with states' consumer plan selection rates-representing the proportion of persons eligible to enroll in insurance plans who selected a plan. RESULTS: Racial resentment was greater in states with less responsibility for the administration of the marketplaces than actively participating states. States higher in racial resentment also showed lower rates of plan selection, pointing to less commitment to implementing marketplace provisions and fulfilling the ACA's coverage-improvement mission. Differences persisted after controlling for differences in conservatism, uninsurance, poor health, and rejection of Medicaid expansion. CONCLUSIONS: Resentment of African Americans' purported irresponsibility and entitlement to government assistance may interfere with states structuring and operating marketplaces to maximize health insurance opportunities for everyone available under the ACA. TRIAL REGISTRATION: N/A.

Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health.

Importance: Social determinants of health (SDOH) influence child health. However, most previous studies have used individual, small-set, or cherry-picked SDOH variables without examining unbiased computed SDOH patterns from high-dimensional SDOH factors to investigate associations with child mental health, cognition, and physical health. Objective: To identify SDOH patterns and estimate their associations with children's mental, cognitive, and physical developmental outcomes. Design, Setting, and Participants: This population-based cohort study included children aged 9 to 10 years at baseline and their caregivers enrolled in the Adolescent Brain Cognitive Development (ABCD) Study between 2016 and 2021. The ABCD Study includes 21 sites across 17 states. Exposures: Eighty-four neighborhood-level, geocoded variables spanning 7 domains of SDOH, including bias, education, physical and health infrastructure, natural environment, socioeconomic status, social context, and crime and drugs, were studied. Hierarchical agglomerative clustering was used to identify SDOH patterns. Main Outcomes and Measures: Associations of SDOH and child mental health (internalizing and externalizing behaviors) and suicidal behaviors, cognitive function (performance, reading skills), and physical health (body mass index, exercise, sleep disorder) were estimated using mixed-effects linear and logistic regression models. Results: Among 10 504 children (baseline median [SD] age, 9.9 [0.6] years; 5510 boys [52.5%] and 4994 girls [47.5%]; 229 Asian [2.2%], 1468 Black [14.0%], 2128 Hispanic [20.3%], 5565 White [53.0%], and 1108 multiracial [10.5%]), 4 SDOH patterns were identified: pattern 1, affluence (4078 children [38.8%]); pattern 2, high-stigma environment (2661 children [25.3%]); pattern 3, high socioeconomic deprivation (2653 children [25.3%]); and pattern 4, high crime and drug sales, low education, and high population density (1112 children [10.6%]). The SDOH patterns were distinctly associated with child health outcomes. Children exposed to socioeconomic deprivation (SDOH pattern 3) showed the worst health profiles, manifesting more internalizing (ß = 0.75; 95% CI, 0.14-1.37) and externalizing (ß = 1.43; 95% CI, 0.83-2.02) mental health problems, lower cognitive performance, and adverse physical health. Conclusions: This study shows that an unbiased quantitative analysis of multidimensional SDOH can permit the determination of how SDOH patterns are associated with child developmental outcomes. Children exposed to socioeconomic deprivation showed the worst outcomes relative to other SDOH categories. These findings suggest the need to determine whether improvement in socioeconomic conditions can enhance child developmental outcomes.

COVID-19 Policies, Pandemic Disruptions, and Changes in Child Mental Health and Sleep in the United States.

Importance: The adverse effects of COVID-19 containment policies disrupting child mental health and sleep have been debated. However, few current estimates correct biases of these potential effects. Objectives: To determine whether financial and school disruptions related to COVID-19 containment policies and unemployment rates were separately associated with perceived stress, sadness, positive affect, COVID-19-related worry, and sleep. Design, Setting, and Participants: This cohort study was based on the Adolescent Brain Cognitive Development Study COVID-19 Rapid Response Release and used data collected 5 times between May and December 2020. Indexes of state-level COVID-19 policies (restrictive, supportive) and county-level unemployment rates were used to plausibly address confounding biases through 2-stage limited information maximum likelihood instrumental variables analyses. Data from 6030 US children aged 10 to 13 years were included. Data analysis was conducted from May 2021 to January 2023. Exposures: Policy-induced financial disruptions (lost wages or work due to COVID-19 economic impact); policy-induced school disruptions (switches to online or partial in-person schooling). Main Outcomes and Measures: Perceived stress scale, National Institutes of Health (NIH)-Toolbox sadness, NIH-Toolbox positive affect, COVID-19-related worry, and sleep (latency, inertia, duration). Results: In this study, 6030 children were included in the mental health sample (weighted median [IQR] age, 13 [12-13] years; 2947 [48.9%] females, 273 [4.5%] Asian children, 461 [7.6%] Black children, 1167 [19.4%] Hispanic children, 3783 [62.7%] White children, 347 [5.7%] children of other or multiracial ethnicity). After imputing missing data, experiencing financial disruption was associated with a 205.2% [95% CI, 52.9%-509.0%] increase in stress, a 112.1% [95% CI, 22.2%-268.1%] increase in sadness, 32.9% [95% CI, 3.5%-53.4%] decrease in positive affect, and a 73.9 [95% CI, 13.2-134.7] percentage-point increase in moderate-to-extreme COVID-19-related worry. There was no association between school disruption and mental health. Neither school disruption nor financial disruption were associated with sleep. Conclusions and Relevance: To our knowledge, this study presents the first bias-corrected estimates linking COVID-19 policy-related financial disruptions with child mental health outcomes. School disruptions did not affect indices of children's mental health. These findings suggest public policy should consider the economic impact on families due to pandemic containment measures, in part to protect child mental health until vaccines and antiviral drugs become available.

Subsidized Marketplace Purchases Reduced Racial Disparities in Private Coverage Under the Affordable Care Act.

The Affordable Care Act's Marketplaces, by allowing subsidized purchase of insurance coverage by persons with incomes from the poverty line to middle income, and through active outreach and enrollment assistance efforts, are well situated to reduce large African American-white private coverage disparities. Using data from the National Health Interview Survey for multiyear periods before and after Affordable Care Act implementation, from 2011-2013 to 2015-2018, this study assessed how much disparity reduction occurred when Marketplaces were implemented. Analysis compared private coverage take-up by African Americans and whites for persons with incomes between 100 and 400% of the Federal Poverty Line (FPL), controlling for African American-white income differences and other covariates. African Americans' gains were significantly greater than whites' and disparities did close. However, both groups gained considerably less coverage than they might have, and some disparity remained. To make ongoing operations more effective and to guide future subsidy extensions and increases as enacted in the American Rescue Plan, more research is needed into the incentive value of subsidies and to discover which Marketplace outreach and enrollment assistance efforts were most effective. In advancing these aims, high priority should be given to identifying strategies that were particularly successful in reaching and engaging uninsured African Americans.

Racial Bias Correlates with States Having Fewer Health Professional Shortage Areas and Fewer Federally Qualified Community Health Center Sites.

Federally Qualified Community Health Centers (FQHCs), serving Health Professional Shortage Areas (HPSAs), are fixtures of the healthcare safety net and are central to healthcare delivery for African Americans and other marginalized Americans. Anti-African American bias, tied to anti- "welfare" sentiment and to a belief in African Americans' supposed safety net dependency, can suppress states' willingness to identify HPSAs and to apply for and operate FQHCs. Drawing on data from n = 1,084,553 non-Hispanic White Project Implicit respondents from 2013-2018, we investigated associations between state-level implicit and explicit racial bias and availability of FQHCs and with HPSA designations. After controlling for states' sociopolitical conservatism, wealth, health status, and acceptance of the Affordable Care Act's Medicaid expansion, greater racial bias was correlated with fewer FQHC delivery sites and fewer HPSA designations. White's bias against African Americans is associated with fewer FQHC opportunities for care and fewer identifications of treatment need for African Americans and other low-income people lacking healthcare options, reflecting bias-influenced neglect.

Racial and Ethnic Disparities in Health Status and Community Functioning Among Persons with Untreated Mental Illness.

Using  6 years of data from the National Survey of Drug Use and Health, the present study investigated ethnic minority-White disparities in self-rated health and community functioning for persons with untreated mental illness. Comparing minority and White persons with untreated severe mental illness (SMI) and mild and moderate mental illness (MMMI), the study sought evidence of "double jeopardy": that minority persons with mental illness suffer an added burden from being members of ethnic minority groups. For African Americans with SMI and MMMI, results indicated that the odds were greater of living in poverty, being unemployed, and being arrested in the past year, and for African Americans with SMI, the odds were greater of reporting fair/poor health. For Native Americans/Alaska Native persons with MMMI, the odds were greater of living in poverty and being arrested in the past year. For Latinx persons with SMI and MMMI, the odds were greater of living in poverty and for Latinx persons with SMI the odds were greater of reporting fair/poor health. Results indicate that African Americans with mental illness suffer pervasive adversity relative to Whites and Native Americans/Alaska Natives and Latinx persons do so selectively.

Did Medicaid expansion close African American-white health care disparities nationwide? A scoping review.

OBJECTIVES: To investigate the impact of the Affordable Care Act's (ACA) Medicaid expansion on African American-white disparities in health coverage, access to healthcare, receipt of treatment, and health outcomes. DESIGN: A search of research reports, following the PRISMA-ScR guidelines, identified twenty-six national studies investigating changes in health care disparities between African American and white non-disabled, non-elderly adults before and after ACA Medicaid expansion, comparing states that did and did not expand Medicaid. Analysis examined research design and findings. RESULTS: Whether Medicaid eligibility expansion reduced African American-white health coverage disparities remains an open question: Absolute disparities in coverage appear to have declined in expansion states, although exceptions have been reported. African American disparities in health access, treatment, or health outcomes showed little evidence of change for the general population. CONCLUSIONS: Future research addressing key weaknesses in existing research may help to uncover sources of continuing disparities and clarify the impact of future Medicaid expansion on African American health care disparities.

Coronavirus Trauma and African Americans' Mental Health: Seizing Opportunities for Transformational Change.

The COVID-19 pandemic is a natural disaster of historic proportions with widespread and profound psychological sequelae. African Americans fall ill and die more than whites from COVID and more survivors and loved ones face psychological risk. African Americans also experience greater personal, social, and financial stress even when not personally touched by COVID illness, and they are again vulnerable as COVID diminishes African American community's capacity for mutual support. Enactment of the American Rescue Act of 2021 can moderate if not eliminate African Americans' greater adversity and greater psychological challenge; other provisions can move the mental health treatment system beyond its previous failure to reach African Americans as it constructively responds to the crisis that COVID presents. From outreach through trusted community actors and institutions for meeting African Americans' needs of varying intensity and duration, and by providing a spectrum of evidence supported interventions-culturally adapted as needed-newfound success can mark a turning point toward new approaches and lasting success.

COVID-19, Social Determinants Past, Present, and Future, and African Americans' Health.

As the COVID-19 pandemic progresses, more African Americans than whites are falling ill and dying from the virus and more are losing livelihoods from the accompanying recession. The virus thereby exploits structural disadvantages, rooted partly in historical and contemporary anti-Black sentiments, working against African Americans. These include higher rates of comorbid illness and more limited health care access, higher rates of disadvantageous labor market positioning and community and housing conditions, greater exposure to long-term care residence, and higher incarceration rates. COVID-19 also exposes African Americans' greater vulnerability to recession, and possibly greater susceptibility to accompanying behavioral health problems. If they are left unaddressed, the very vulnerabilities COVID-19 exploits may perpetuate themselves. However, continuing and supplementing health and economic COVID mitigation policies can disproportionately benefit African Americans and reduce short- and long-term adverse effects. The greater impact of COVID-19 on African Americans demonstrates the consequences of pervasive social and economic inequality and marks this as a critical time to prevent further compounding of adverse effects.

African American/white disparities in psychiatric emergencies among youth following rapid expansion of Federally Qualified Health Centers.

OBJECTIVE: To test whether rapid expansion of mental health services in Federally Qualified Health Centers (FQHCs) reduces African American/white disparities in youth psychiatric emergency department (ED) visits. DATA SOURCES: Secondary ED data for psychiatric care for 3.3 million African American and white youth in nine states, 2006-2011. We used the HCUP SEDD and SID. We obtained FQHC service data from the Uniform Data System. STUDY DESIGN: The psychiatric ED visit is the dependent variable. Logistic regression methods control for individual risk factors for ED use, as well as county-level health system factors and county and year fixed effects. Key independent variables include indicators of mental health service capacity in FQHCs in a county-year. DATA EXTRACTION METHODS: We extracted ED psychiatric visits for 3.3 million African American and white youth in nine states, 2006-2011, from the HCUP SEDD and SID, and FQHC data from the Uniform Data System. PRINCIPAL FINDINGS: Overall mental health visits at FQHCs correlate positively with psychiatric ED visits among African American youth. However, increases in the number of mental health visits per FQHC patient corresponds with fewer outpatient psychiatric ED visits among African American youth, relative to white youth (odds ratio = 0.96; 95% CI = 0.94, 0.98). CONCLUSIONS: Increases in the intensity of services offered per mental health patient at FQHCs-rather than increases in overall capacity-may reduce African American youth's overreliance on the ED for psychiatric care.

Rapid Growth of Mental Health Services at Community Health Centers.

Community Health Centers (CHCs) target medically underserved communities and expanded by 70% in the last decade. We know little, however, about mental health services at CHCs. We analyzed data from 2006 to 2015 and determined county-level drivers of these services. Mental health patients at CHCs fall from 2006 to 2007 but then rise consistently from 2007 to 2015. Counties with fewer physicians, greater percent insured and greater percent white population show faster growth in mental health services. Increases in mental health services at CHCs outpace general CHC growth and reflect federal efforts to integrate behavioral health care into primary care.

African Americans and Caribbean Blacks: Perceived neighborhood disadvantage and depression.

The purpose of this study was to advance a theoretical understanding of the effects of impoverished neighborhoods on mental health and to inform policy measures encouraging residents to leave such neighborhoods. To do this, we investigated whether individuals' perceived neighborhood disadvantage served as a risk factor for clinical depression in a nationally representative sample of African Americans and Caribbean Blacks. We performed logistic regression analysis on stratified socioeconomic status (SES) subsamples from the National Survey of American Life sample of 5,019 African Americans and Caribbean Blacks. The association between perceived neighborhood social disorder and past-year depression was statistically significant for low-SES individuals (at or below the federal poverty line; odds ratio [OR] = 1.73, 95% confidence interval [CI] [1.07, 2.81], p = 0.026) and at the boundary of significance for middle-SES individuals (between 100% and 300% of the poverty line; OR = 1.74, 95% CI [1.00, 3.02], p = 0.052), but not for high-SES individuals (at or above 300% of the poverty line). Results suggest, at least for low- and middle-income African Americans, perceived neighborhood social disorder is a risk factor for depression. U.S. housing policies aimed at neighborhood improvement and poverty de-concentration may benefit the mental health of low-income African Americans and Caribbean Blacks.

Mental health treatment and work among African American and Caribbean Black welfare recipients.

OBJECTIVE: Untreated depression among Temporary Assistance for Needy Families (TANF) participants greatly reduces chances of securing and holding gainful employment. METHOD: Logistic regression models were estimated on data describing 1,000 African American and Caribbean Black TANF recipients and 2,123 African American and Caribbean Black non-TANF recipients obtained from the National Survey of American Life (NSAL). RESULTS: Black TANF participants were more likely than Black non-TANF participants to be depressed and treated. Treatment odds were lower for Caribbean Black than for U.S.-born Black TANF participants. CONCLUSION: Results indicated that mental health treatment was likely among Black TANF participants if depression was identified. TANF participants working less than full-time did not receive as much treatment. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

States higher in racial bias spend less on disabled medicaid enrollees.

BACKGROUND: While there is considerable state-by-state variation in Medicaid disability expenditure, little is known about the factors that contribution to this variation. OBJECTIVE: Since Blacks disproportionately benefit from Medicaid disability programs, we aimed to gain insight into whether racial bias towards Blacks is one factor that explains state-by-state variation in Medicaid disability expenditures. METHOD: We compiled 1,764,927 responses of explicit and implicit racial bias from all 50 states and Washington D.C. to generate estimates of racial bias for each state (or territory). We then used these estimates to predict states' expenditure per disabled Medicaid enrollee. We also examined whether the relationship between racial bias and disabled Medicaid enrollee expenditure might vary according to states' level of income for Whites, income for Blacks, or conservatism. RESULTS: States with more explicit or implicit racial bias spent less per disabled Medicaid enrollee. This correlation was strongest in states where Whites had lower income, Blacks had higher income, or conservatism was high. Accordingly, these results suggest that racial bias might play a role in Medicaid disability expenditure in places where Whites have a lower economic advantage or there is a culture of conservatism. CONCLUSION: This research established correlations between state-level racial bias and Medicaid disability expenditure. Future research might build upon this work to understand the direction of causality and pathways that might explain these correlations.

Medicaid Spending Differences for Child/Youth Community-Based Care in California's Decentralized Public Mental Health System.

This study evaluated spending differences across counties during the decade after California decentralized its public mental health system. Medicaid data for 0-25 year olds using mental health services were collapsed to the county-year level (n = 627). Multivariate models with county fixed effects were used to predict per capita spending for community-based mental health care. While counties increased their spending over time, those with relatively low initial expenditures per user continued to spend less than counties with historically higher spending levels. Spending differences per user were most noticeable in counties with larger racial/ethnic minority populations that also had historically lower spending levels.

Increased Mental Health Treatment Financing, Community-Based Organization's Treatment Programs, and Latino-White Children's Financing Disparities.

BACKGROUND: Latino child populations are large and growing, and they present considerable unmet need for mental health treatment. Poverty, lack of health insurance, limited English proficiency, stigma, undocumented status, and inhospitable programming are among many factors that contribute to Latino-White mental health treatment disparities. Lower treatment expenditures serve as an important marker of Latino children's low rates of mental health treatment and limited participation once enrolled in services. AIMS: We investigated whether total Latino-White expenditure disparities declined when autonomous, county-level mental health plans receive funds free of customary cost-sharing charges, especially when they capitalized on cultural and language-sensitive mental health treatment programs as vehicles to receive and spend treatment funds. Using Whites as benchmark, we considered expenditure pattern disparities favoring Whites over Latinos and, in a smaller number of counties, Latinos over Whites. METHODS: Using segmented regression for interrupted time series on county level treatment systems observed over 64 quarters, we analyzed Medi-Cal paid claims for per-user total expenditures for mental health services delivered to children and youth (under 18 years of age) during a study period covering July 1, 1991 through June 30, 2007. Settlement-mandated Medicaid's Early Periodic Screening, Diagnosis and Treatment (EPSDT) expenditure increases began in the third quarter of 1995. Terms were introduced to assess immediate and long term inequality reduction as well as the role of culture and language-sensitive community-based programs. RESULTS: Settlement-mandated increased EPSDT treatment funding was associated with more spending on Whites relative to Latinos unless plans arranged for cultural and language-sensitive mental health treatment programs. However, having programs served more to prevent expenditure disparities from growing than to reduce disparities. DISCUSSION: EPSDT expanded funding increased proportional expenditures for Whites absent cultural and language-sensitive treatment programs. The programs moderate, but do not overcome, entrenched expenditure disparities. These findings use investment in mental health services for Latino populations to indicate treatment access and utilization, but do not explicitly reflect penetration rates or intensity of services for consumers. IMPLICATIONS FOR POLICY: New funding, along with an expectation that Latino children's well documented mental health treatment disparities will be addressed, holds potential for improved mental health access and reducing utilization inequities for this population, especially when specialized, culturally and linguistically sensitive mental health treatment programs are present to serve as recipients of funding. IMPLICATIONS FOR RESEARCH: To further expand knowledge of how federal or state funding for community based mental health services for low income populations can drive down the longstanding and considerable Latino-White mental health treatment disparities, we must develop and test questions targeting policy drivers which can channel funding to programs and organizations aimed at delivering linguistically and culturally sensitive services to Latino children and their families.

Examining the reliability and validity of the Clinical Assessment Interview for Negative Symptoms within the Management of Schizophrenia in Clinical Practice (MOSAIC) multisite national study.

The current study sought to expand on prior reports of the validity and reliability of the CAINS (CAINS) by examining its performance across diverse non-academic clinical settings as employed by raters not affiliated with the scale's developers and across a longer test-retest follow-up period. The properties of the CAINS were examined within the Management of Schizophrenia in Clinical Practice (MOSAIC) schizophrenia registry. A total of 501 participants with a schizophrenia spectrum diagnosis who were receiving usual care were recruited across 15 national Patient Assessment Centers and evaluated with the CAINS, other negative symptom measures, and assessments of functioning, quality of life and cognition. Temporal stability of negative symptoms was assessed across a 3-month follow-up. Results replicated the two-factor structure of the CAINS reflecting Motivation and Pleasure and expression symptoms. The CAINS scales exhibited high internal consistency and temporal stability. Convergent validity was supported by significant correlations between the CAINS subscales with other negative symptom measures. Additionally, the CAINS was significantly correlated with functioning and quality of life. Discriminant validity was demonstrated by small to moderate associations between the CAINS and positive symptoms, depression, and cognition (and these associations were comparable to those found with other negative symptom scales). Findings suggest that the CAINS is a reliable and valid tool for measuring negative symptoms in schizophrenia across diverse clinical samples and settings.