Health care Utilization and Expenditures in Health Professional Shortage Areas.

Healthcare provider shortages are associated with adverse health outcomes, presumably stemming from the lack of access to primary care. This study examines the impact of Health Professional Shortage Areas (HPSAs) on healthcare utilization and spending across different types of care. Using the Medical Expenditure Panel Survey from 2002 to 2019, this study estimates the difference in healthcare utilization in HPSAs compared with non-HPSAs using a generalized random forest, which allows for more complex modeling of the outcome and a principled examination of heterogenous treatment effects. The results indicate HPSAs are associated with a 5% reduction in medical office visits, but no reduction in hospital-based care. These effects are concentrated in older persons living in urban areas, Black persons, and Medicaid beneficiaries. No statistically significant effects on annual spending were observed. These results offer insight into potential areas for further policy efforts aimed at reducing provider shortages.

Mental Health Impairment and Outpatient Mental Health Care of US Children and Adolescents.

Importance: Despite a federal declaration of a national child and adolescent mental health crisis in 2021, little is known about recent national trends in mental health impairment and outpatient mental health treatment of US children and adolescents. Objective: To characterize trends in mental health impairment and outpatient mental health care among US children and adolescents from 2019 to 2021 across demographic groups and levels of impairment. Design, Setting, and Participants: Survey study with a repeated cross-sectional analysis of mental health impairment and outpatient mental health care use among youth (ages 6-17 years) within the 2019 and 2021 Medical Expenditure Panel Surveys, nationally representative surveys of US households. Race and ethnicity were parent reported separately from 15 racial categories and 8 ethnic categories that were aggregated into Black, non-Hispanic; Hispanic; Other, non-Hispanic; and White, non-Hispanic. Exposure: Time period from 2019 to 2021. Main Outcomes and Measures: Age- and sex-adjusted differences between 2019 and 2021 in mental health impairment measured with the Columbia Impairment Scale (a score ≥16 indicates severe; 1-15, less severe; and 0, no impairment) and age-, sex-, and Columbia Impairment Scale strata-adjusted differences in the use of any outpatient mental health care in 2019 and 2021. Results: The analysis involved 8331 participants, including 4031 girls and 4300 boys; among them, 1248 were Black and 3385 were White. The overall mean (SE) age was 11.6 (3.4) years. The percentage of children and adolescents with severe mental health impairment was 9.7% in 2019 and 9.4% in 2021 (adjusted difference, -0.3%; 95% CI, -1.9% to 1.2%). Between 2019 and 2021, there was also no significant difference in the percentage of children and adolescents with less severe impairment and no impairment. The overall annual percentages of children with any outpatient mental health care showed little change: 11.9% in 2019 and 13.0% in 2021 (adjusted difference, 1.3%; 95% CI, -0.4% to 3.0%); however, this masked widening differences by race. Outpatient mental health care decreased for Black youth from 9.2% in 2019 to 4.0% in 2021 (adjusted difference, -4.3%; 95% CI, -7.3% to -1.4%) and increased for White youth from 15.1% to 18.4% (adjusted difference, 3.0%; 95% CI, 0.0% to 6.0%). Conclusions and Relevance: Between 2019 and 2021, there was little change in the overall percentage of US children and adolescents with severe mental health impairment. During this period, however, there was a significant increase in the gap separating outpatient mental health care of Black and White youth.

Trends in Psychological Distress and Outpatient Mental Health Care of Adults During the COVID-19 Era.

BACKGROUND: In addition to the physical disease burden of the COVID-19 pandemic, concern exists over its adverse mental health effects. OBJECTIVE: To characterize trends in psychological distress and outpatient mental health care among U.S. adults from 2018 to 2021 and to describe patterns of in-person, telephone, and video outpatient mental health care. DESIGN: Cross-sectional nationally representative survey of noninstitutionalized adults. SETTING: United States. PARTICIPANTS: Adults included in the Medical Expenditure Panel Survey Household Component, 2018 to 2021 (n = 86 658). MEASUREMENTS: Psychological distress was measured with the Kessler-6 scale (range of 0 to 24, with higher scores indicating more severe distress), with a score of 13 or higher defined as serious psychological distress, 1 to 12 as less serious distress, and 0 as no distress. Outpatient mental health care use was measured via computer-assisted personal interviews. RESULTS: Between 2018 and 2021, the rate of serious psychological distress among adults increased from 3.5% to 4.2%. Although the rate of outpatient mental health care increased from 11.2% to 12.4% overall, the rate decreased from 46.5% to 40.4% among adults with serious psychological distress. When age, sex, and distress were controlled for, a significant increase in outpatient mental health care was observed for young adults (aged 18 to 44 years) but not middle-aged (aged 45 to 64 years) and older (aged >65 years) adults and for employed adults but not unemployed adults. In 2021, 33.4% of mental health outpatients received at least 1 video visit, including a disproportionate percentage of young, college-educated, higher-income, employed, and urban adults. LIMITATION: Information about outpatient mental health service modality (in-person, video, telephone) was first fully available in the 2021 survey. CONCLUSION: These trends and patterns underscore the persistent challenges of connecting older adults, unemployed persons, and seriously distressed adults to outpatient mental health care and the difficulties faced by older, less educated, lower-income, unemployed, and rural patients in accessing outpatient mental health care via video. PRIMARY FUNDING SOURCE: None.

Racial-Ethnic Disparities in Outpatient Mental Health Care in the United States.

OBJECTIVE: The authors aimed to compare national rates and patterns of use of outpatient mental health care among Hispanic, non-Hispanic Black, and non-Hispanic White individuals. METHODS: Data from the 2018-2019 Medical Expenditure Panel Survey, a nationally representative survey of U.S. households, were analyzed, focusing on use of any outpatient mental health care service by non-Hispanic White (N=29,126), non-Hispanic Black (N=7,965), and Hispanic (N=12,640) individuals ages ≥4 years (N=49,731). Among individuals using any mental health care, analyses focused on those using psychotropic medications, psychotherapy, or both and on receipt of minimally adequate mental health care. RESULTS: The annual rate per 100 persons of any outpatient mental health service use was more than twice as high for White (25.3) individuals as for Black (12.2) or Hispanic (11.4) individuals. Among those receiving outpatient mental health care, Black (69.9%) and Hispanic (68.4%) patients were significantly less likely than White (83.4%) patients to receive psychotropic medications, but Black (47.7%) and Hispanic (42.6%) patients were significantly more likely than White (33.3%) patients to receive psychotherapy. Among those treated for depression, anxiety, attention-deficit hyperactivity disorder, or disruptive behavior disorders, no significant differences were found in the proportions of White, Black, or Hispanic patients who received minimally adequate treatment. CONCLUSIONS: Large racial-ethnic gaps in any mental health service use and smaller differences in patterns of treatment suggest that achieving racial-ethnic equity in outpatient mental health care delivery will require dedicated efforts to promote greater mental health service access for Black and Hispanic persons in need.

Medicaid reimbursement rates for primary care services and behavioral health outcomes.

We study the effects of changing Medicaid reimbursement rates for primary care services on behavioral health outcomes-defined here as mental illness and substance use disorders. Medicaid enrollees are at elevated risk for these, and other, chronic conditions and are likely to have unmet treatment needs. We apply two-way fixed-effects regressions to survey data specifically designed to measure behavioral health outcomes over the period 2010-2016. We find that higher primary care reimbursement rates reduce mental illness and substance use disorders among non-elderly adult Medicaid enrollees, although we interpret findings for substance use disorders with some caution as they may be vulnerable to differential pre-trends. Overall, our findings suggest positive spillovers from a policy designed to target primary care services to behavioral health outcomes.

Using machine-learning algorithms to improve imputation in the medical expenditure panel survey.

OBJECTIVE: To assess the feasibility of applying machine learning (ML) methods to imputation in the Medical Expenditure Panel Survey (MEPS). DATA SOURCES: All data come from the 2016-2017 MEPS. STUDY DESIGN: Currently, expenditures for medical encounters in the MEPS are imputed with a predictive mean matching (PMM) algorithm in which a linear regression model is used to predict expenditures for events with (donors) and without (recipients) data. Recipient events and donor events are then matched based on the smallest distance between predicted expenditures, and the donor event's expenditures are used as the recipient event's imputation. We replace linear regression algorithm in the PMM framework with ML methods to predict expenditures. We examine five alternatives to linear regression: Gradient Boosting, Random Forests, Extreme Random Forests, Deep Neural Networks, and a Stacked Ensemble approach. Additionally, we introduce an alternative matching scheme, which matches on a vector of predicted expenditures by sources of payment instead of a single total expenditure prediction to generate potentially superior matches. DATA COLLECTION: Study data is derived from a large federal survey. PRINCIPAL FINDINGS: ML algorithms perform better at both prediction and matching imputation than Ordinary Least Squares (OLS), the most common prediction algorithm used in PMM. On average, the Stacked Ensemble approach that combines all the ML algorithms performs best, improving expenditure prediction R2 by 108% (0.156 points) and final imputation R2 by 227% (0.397 points). Matching on a prediction vector also improves alignment of sources of payments between donor and recipient events. CONCLUSIONS: ML algorithms and an alternative matching scheme improve the overall quality of expenditure PMM imputation in the MEPS. These methods may have additional value in other national surveys that currently rely on PMM or similar methods for imputation.

Recreational marijuana laws and the misuse of prescription opioids: Evidence from National Survey on Drug Use and Health microdata.

Several studies have concluded that legalizing medical marijuana can reduce deaths from opioid overdoses. Drawing on micro data from the National Survey on Drug Use and Health, a survey uniquely suited to assessing patterns of substance use, we examine the relationship between recreational marijuana laws (RMLs) and the misuse of prescription opioids. Using a standard difference-in-differences (DD) regression model, we find that RML adoption reduces the likelihood of frequently misusing prescription opioids such as OxyContin, Percocet, and Vicodin. However, using a two-stage procedure designed to account for staggered treatment and dynamic effects, the DD estimate of relationship between RML adoption and the likelihood of frequently misusing prescription opioids becomes positive. Although event study estimates suggest that RML adoption leads to a decrease in the frequency of prescription opioid abuse, this effect appears to dissipate after only 2 or 3 years.

Effects of Medicaid expansion on insurance coverage and health services use among adults with disabilities newly eligible for Medicaid.

OBJECTIVE: To estimate the effects of Affordable Care Act (ACA) Medicaid expansion on insurance and health services use for adults with disabilities who were newly eligible for Medicaid. DATA SOURCES: 2008-2018 Medical Expenditure Panel Survey data. STUDY DESIGN: We used the Agency for Healthcare Research and Quality (AHRQ) PUBSIM model to identify adults aged 26-64 years with disabilities who were newly Medicaid-eligible in expansion states or would have been eligible in non-expansion states had those states opted to expand. Outcomes included insurance coverage; access to care; receipt of primary care, outpatient specialty physician services, and preventive services; and out-of-pocket health care spending. To estimate the effects of Medicaid expansion, we used two-way fixed effects models and a triple differences framework to compare pre-post changes in each outcome in expansion and non-expansion states for adults with and without disabilities. EXTRACTION METHODS: We simulated Medicaid eligibility with the AHRQ PUBSIM model, which uses state-specific Medicaid rules and MEPS data on family relationships, state of residence, and income. PRINCIPAL FINDINGS: Among adults with disabilities who were newly eligible for Medicaid, Medicaid expansion was associated with significant increases in full-year Medicaid coverage (35.9 percentage points [pp], p < 0.001), receipt of primary care (15.5 pp, p < 0.01), and receipt of flu shots (19.2 pp, p < 0.01), and a significant decrease in out-of-pocket spending (-$457, p < 0.01). There were larger improvements for adults with disabilities compared to those without disabilities in full-year Medicaid coverage (11.0 pp, p < 0.01) and receipt of flu shots (18.0 pp, p < 0.05). CONCLUSIONS: Medicaid expansion was associated with improvements in full-year insurance coverage, receipt of primary and preventive care, and out-of-pocket spending for adults with disabilities who were newly eligible for Medicaid. For insurance coverage, preventive care, and some primary care measures, there were differentially larger improvements for adults with disabilities than for those without disabilities.

Users of retail medications for opioid use disorders faced high out-of-pocket prescription spending in 2011-2017.

INTRODUCTION: High out-of-pocket spending has been a barrier to treatment for the estimated 2.0 million Americans suffering from opioid use disorders (OUD). This paper provides national estimates of financial costs faced by the population receiving retail medications for OUD (MOUD). METHODS: We used pooled annual data from the 2011-2017 Medical Expenditure Panel Survey (MEPS), a nationally representative sample of the civilian noninstitutionalized population in the United States. The sample includes individuals who reported filling a retail prescription for buprenorphine or naltrexone, the two most common medications available from retail pharmacies to treat OUD. The main outcome is out-of-pocket spending of retail MOUD prescriptions per fill and per person. RESULTS: Patients with retail MOUD prescriptions spent 3.4 times more out-of-pocket for prescriptions on average than the rest of the U.S. population, with 18.8% of this population paying entirely out-of-pocket for their MOUD prescriptions. Insurance coverage is associated with reduced annual out-of-pocket MOUD expenditures between $316 and $328 per year. CONCLUSIONS: Future policies that expand insurance and address out-of-pocket spending on MOUD could increase access to medications among individuals with OUD.

LETTER: Medicaid Expansion and Mental Health Care and Coverage: Reply.

No abstract available.

Medical Marijuana Laws, Marijuana Use, and Opioid-Related Outcomes among Women in the United States.

BACKGROUND: In the context of the opioid epidemic, a limited but growing body of literature has found state medical marijuana laws (MMLs) to be associated with lower levels of opioid prescribing. However, robust evidence linking state MMLs with individual-level opioid-related outcomes is lacking, particularly among women. This finding is especially true for pregnant and parenting women, who have been disproportionately affected by the opioid crisis. METHODS: Using data drawn from the 2002-2014 National Survey on Drug Use and Heath, the study uses a difference-in-differences estimation strategy to compare opioid-related outcomes (opioid misuse initiation, opioid misuse in the past month and past year, and opioid use disorder) among all women, pregnant women, and parenting women in states with and without MMLs (before and after implementation). The study also investigates the impact of MMLs on marijuana use and marijuana use disorder. RESULTS: The findings indicate that MMLs were not associated with opioid misuse, opioid misuse initiation, or opioid use disorder among all women, pregnant women, and parenting women. These laws were, however, positively correlated with marijuana use and marijuana use disorder among all women and women with children. In addition, MMLs were associated with an increase in the frequency of opioid misuse for pregnant women and a decrease in the frequency of opioid misuse for parenting women. CONCLUSIONS: This finding suggests that, although medical marijuana may be viewed by some as a substitute for opioid analgesics, MMLs may not be an effective policy tool to tackle the opioid epidemic among women, especially pregnant and parenting women.

Impact of Mental Health Treatment on Suicide Attempts.

This paper analyzes the impact of mental health treatment on suicide attempts. While prior work demonstrates the effectiveness of mental health treatment at reducing suicide risk, few studies examine nationally representative populations or use broad measures of access to mental health services. A methodological problem can arise in studies of mental health treatment and suicidal behavior because a suicide attempt can result in the use of more mental health services. Using nationally representative survey data combined with national estimates of provider availability, this paper employs a methodological correction to address that potential problem of reverse causation. This paper uses measures of the density of health care providers in an area as statistical instruments for use of mental health treatment in an analysis of the impact of mental health treatment on suicide attempts. This study finds that mental health treatment significantly reduces suicide attempts.

Physician networks and potentially inappropriate opioid prescriptions.

Background: Opioid overdose is a national health priority and curbing inappropriate prescribing is critical. In 2016, the Centers for Disease Control and Prevention (CDC) issued appropriate prescribing guidelines.Objectives: Examine associations between care networks defined by shared patients and problematic opioid prescribing.Methods: Analysis was at the provider-year level. Social network analysis (SNA) applied to the Medicaid MarketScan® Research Database for the years 2010-2015 identified care communities, each community's level of integration (centralization), and each provider's integration (centrality). Nested multivariable logistic regressions controlling for patient mix and provider specialty simultaneously examined the risk of any (incident) and repeated (prevalent) inappropriate prescribing.Outcomes: Four behaviors defined by the CDC guidelines were examined: (1) more than 90 days continuous supply of high-dose opioid analgesics for chronic pain, (2) overlapping opioid supplies, (3) overlapping opioid and benzodiazepine prescriptions, and (4) prescribing an extended release opioid for an acute pain diagnosis.Results: Provider centrality was associated with reduced incidence of outcome (2) (OR: 0.95) and decreased prevalence of outcomes (1), (2), and (3). However, higher incidence (OR: 1.32) and prevalence (OR: 1.027) of outcome (4) were observed. Conversely, centralization associated with decreased incidence of (1) and (2) and lower prevalence of (1), (2), and (3).Conclusions: Greater provider integration is associated with a lower risk of a provider's patients repeatedly having potentially inappropriate prescription fills; however, the association with a provider having any potentially problematic prescription is more ambiguous.

Integrated care models and behavioral health care utilization: Quasi-experimental evidence from Medicaid health homes.

Integration of behavioral and general medical care can improve outcomes for individuals with behavioral health conditions-serious mental illness (SMI) and substance use disorder (SUD). However, behavioral health care has historically been segregated from general medical care in many countries. We provide the first population-level evidence on the effects of Medicaid health homes (HH) on behavioral health care service use. Medicaid, a public insurance program in the United States, HHs were created under the 2010 Affordable Care Act to coordinate behavioral and general medical care for enrollees with behavioral health conditions. As of 2016, 16 states had adopted an HH for enrollees with SMI and/or SUD. We use data from the National Survey on Drug Use and Health over the period 2010 to 2016 coupled with a two-way fixed-effects model to estimate HH effects on behavioral health care utilization. We find that HH adoption increases service use among enrollees, although mental health care treatment findings are sensitive to specification. Further, enrollee self-reported health improves post-HH.

The impact of the abuse-deterrent reformulation of extended-release OxyContin on prescription pain reliever misuse and heroin initiation.

The introduction of abuse-deterrent OxyContin in 2010 was intended to reduce its misuse by making it more tamper resistant. However, some studies have suggested that this reformulation might have had unintended consequences, such as increases in heroin-related deaths. We used the 2005-2014 cross-sectional U.S. National Survey on Drug Use and Health to explore the impact of this reformulation on intermediate outcomes that precede heroin-related deaths for individuals with a history of OxyContin misuse. Our study sample consisted of adults who misused any prescription pain reliever prior to the reformulation of OxyContin (n = 81,400). Those who misused OxyContin prior to the reformulation were considered the exposed group and those who misused other prescription pain relievers prior to the reformulation were considered the unexposed group. We employed multivariate logistic regression under a difference-in-differences framework to examine the effect of the reformulation on five dichotomous outcomes: prescription pain reliever misuse; prescription pain reliever use disorder; heroin use; heroin use disorder; and heroin initiation. We found a net reduction in the odds of prescription pain reliever misuse (OR:0.791, p < 0.001) and heroin initiation (OR:0.422, p = 0.011) after the reformulation for the exposed group relative to the unexposed group. We found no statistically significant effects of the reformulation on prescription pain reliever use disorder (OR: 0.934, p = 0.524), heroin use (OR: 1.014p = 0.941), and heroin use disorder (OR: 1.063, p = 0.804). Thus, the reformulation of OxyContin appears to have reduced prescription pain reliever misuse without contributing to relatively greater new heroin use among those who misused OxyContin prior to the reformulation.

Medicaid Expansion and Health Insurance Coverage and Treatment Utilization among Individuals with a Mental Health Condition.

BACKGROUND: The Affordable Care Act (ACA) gives states the option of expanding Medicaid coverage to low-income individuals; however, not all states have chosen to expand Medicaid. The ACA Medicaid expansions are particularly important for Americans with mental health conditions because they are substantially more likely than other Americans to have low incomes. AIMS OF THE STUDY: We examine the impact of Medicaid expansion on adults who were newly eligible for Medicaid using the 2008-2017 Medical Expenditure Panel Survey (MEPS). METHODS: We use the AHRQ PUBSIM model to identify low-income adults aged 19-64 who were either newly Medicaid eligible if they lived in an expansion state or would have been eligible had their state opted to expand its Medicaid program. We estimate linear probability models within a difference-in-difference framework. An additional interaction term allows us to test for differences among those with serious psychological distress (SPD) or probable depression (PD). Outcomes of interest are insurance coverage by type, behavioral health treatment by service (specifically, any behavioral health treatment, any specialty treatment, any psychotropic medication, any ambulatory treatment outside of an emergency department, and any emergency department treatment), quantities of behavioral health treatment services, and out of pocket spending on healthcare. RESULTS: Our adjusted difference-in-differences estimates indicate Medicaid expansion increased any insurance coverage by 14.2 percentage points and increased Medicaid coverage by 21.2 percentage points. Insurance coverage for individuals with SPD/PD in expansion states increased by an additional 12.9 percentage points. Medicaid expansion did not have an effect on behavioral health treatment for the newly eligible population as a whole or for the subset with SPD/PD. DISCUSSION: Consistent with previous Medicaid expansions, we find that the ACA Medicaid expansions substantially increased insurance rates for the newly Medicaid-eligible population, regardless of mental health status but the overall effect on insurance coverage was stronger among those with SPD/PD. The lack of an effect on treatment use suggests that providing insurance coverage alone may be insufficient to guarantee that people with mental illness will receive the treatment they need. Limitations include that our difference-in-difference estimator may not account for time-varying factors that change contemporaneously with the expansions. Our estimates may also be affected by other provisions of the ACA that went into effect at the same time as the Medicaid expansions. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE AND IMPLICATIONS FOR HEALTH POLICIES: Although the ACA has resulted in increased coverage for low-income individuals, more outreach efforts may be needed to encourage individuals with mental illness to get the treatment they need.

Price elasticity of demand for buprenorphine/naloxone prescriptions.

Although there have been supply-side efforts in response to the opioid crisis (e.g., prescription drug monitoring programs), little information exists on demand-side approaches related to patient cost sharing that may affect utilization of and adherence to pharmacotherapy by individuals with opioid use disorder. Among individuals who had initiated pharmacotherapy, we estimated the price elasticity of demand of prescription fills of buprenorphine/naloxone, a common pharmacotherapy drug, overall and by patient characteristics. Using the IBM MarketScan® Commercial Claims and Encounters Database for individuals with employer-sponsored private health insurance coverage, we examined the relationship between cost sharing and the number of buprenorphine/naloxone prescription fills using enrollee-level longitudinal fixed effects models. Cost sharing was expressed as a price index for each employer-plan. By including enrollee-level fixed effects, the identification of the effect of interest comes from longitudinal variation in prices across multiple time points for each enrollee. Overall, the demand for buprenorphine/naloxone was price inelastic (p = 0.191). However, some subgroups were responsive to price. A doubling of price was associated with a decrease in fills by 3.0% for enrollees aged 45-64 years (p = 0.029); 5.7% for those in rural areas (p = 0.033); 5.8% for residents of the South (p ≤0.001); and 3.0% for those enrolled in an HMO (p = 0.004). Insurers should consider the effects on these groups before increasing beneficiary out-of-pocket costs for pharmacotherapy and efforts to increase adherence should consider that price may be a barrier for some subgroups with OUD.

Disparities in opioid related mortality between United States counties from 2000 to 2014.

BACKGROUND: The general increase in opioid-related deaths is well documented, and disparities by geographic regions and demographic characteristics have been observed as well. However, the distribution of opioid-related deaths among U.S. counties and the trends in that distribution have not been fully explored. This study examines the inequality in opioid death rates to assess convergence or divergence in opioid-related mortality between counties. METHODS: Using mortality data from the NVSS for 2000-2014, this study examines the Gini coefficient of the county opioid mortality distribution. RESULTS: The distribution of opioid mortality became more equal, with the Gini coefficient falling from 0.81 in 2000 to 0.61 in 2014. Counties with lower initial opioid mortality rates experienced faster growth in mortality than counties with high initial mortality. CONCLUSIONS: Counties have experienced a convergence in opioid mortality rates. This poses potential challenges for addressing the crisis, as measures must become much broader in scope and be implemented in areas in which the dangers of the opioid crisis are not as apparent.

Behavioral Health's Integration Within a Care Network and Health Care Utilization.

OBJECTIVE: Examine how behavioral health (BH) integration affects health care costs, emergency department (ED) visits, and inpatient admissions. DATA SOURCES/STUDY SETTING: Truven Health MarketScan Research Databases. STUDY DESIGN: Social network analysis identified "care communities" (providers sharing a high number of patients) and measured BH integration in terms of how connected, or central, BH providers were to other providers in their community. Multivariable generalized linear models adjusting for age, sex, number of prescriptions, and Charlson comorbidity score were used to estimate the relationship between the centrality of BH providers and health care utilization of BH patients. DATA COLLECTION/EXTRACTION METHODS: Used outpatient, inpatient, and pharmacy claims data from six Medicaid plans from 2011 to 2013 to identify study outcomes, comorbidities, providers, and health care encounters. PRINCIPAL FINDINGS: Behavioral health centrality ranged from 0 (no BH providers) to 0.49. Relative to communities at the median BH centrality (0.06), in 2012, BH patients in communities at the 75th percentile of BH centrality (0.31) had 0.2 fewer admissions, 2.1 fewer all-cause ED visits, and accrued $1,947 fewer costs, on average. CONCLUSIONS: Increased behavioral centrality was significantly associated with a reduced number of ED visits, less frequent inpatient admissions, and lower overall health care costs.