Behavioral Health Service Use Research Articles

Correction to: Primary Care and Behavioral Health Services Use Differ Among Medicaid-Enrolled Children by Initial Foster Care Entry Status

Correction to: Primary Care and Behavioral Health Services Use Differ Among Medicaid-Enrolled Children by Initial Foster Care Entry Status

Impact of COVID-19 on Behavioral Health Services Use Among Medicaid Enrollees with Chronic Behavioral Needs by Race and Ethnicity.

The COVID-19 pandemic may widen the disparities in access to behavioral health (BH) services among groups that have been historically marginalized. However, the rapid expansion of telehealth presents an opportunity to reduce these disparities. The objective was to assess the impact of COVID-19 on BH visits, including in-person and telehealth, and BH treatments by different race and ethnicity groups. This was a retrospective, observational study using administrative claim data. Two cohorts were created: a before-COVID-19 group and a during-COVID-19 group. A difference-in-differences analysis was conducted to assess the access to BH-related visits between the 2 groups by different race and ethnicity groups. The study sample included 90,268 patients aged 18 to 64 years with repeated BH diagnoses in baseline periods and continuous medical and pharmacy enrollment. During the pandemic, BH telehealth visits surged, whereas the overall utilization of BH services, mental health medication, and counseling declined among all racial groups as the BH telehealth increase did not fully compensate for the reduction of in-person visits. Latino patients had a higher likelihood of using BH telehealth visits than White patients. However, Black patients had a lower likelihood of using substance use disorder (SUD) treatment than their White counterparts. Our results also suggested that care continuation and pre-established care-seeking behaviors are associated with increasing BH visits and treatments. As policy makers and payers are expanding offerings of telehealth visits, it is imperative to do so through a health equity lens and center the needs of groups that have been economically and socially marginalized to advance equitable adoption of telehealth.

Behavioral Health Service Use Among Licensed Social Workers: A Qualitative Inquiry

ABSTRACT This paper presents qualitative data collected from 996 licensed social workers in the United States who reported mental health and/or alcohol and other drug problems and indicated the types of services they used to address these issues. Outpatient therapy was the most commonly accessed modality to treat mental health issues. Regarding problems with alcohol and other drugs, self-help groups were the most frequently utilized intervention. Qualitative findings suggest that behavioral health service use has influenced respondents’ work with clients, personal and professional development, and career trajectories. Barriers to service use, such as stigma and limited access to care, were also identified. Implications for social work education and professional practice are discussed.

Telehealth Utilization Among Adult Medicaid Beneficiaries in North Carolina with Behavioral Health Conditions During the COVID-19 Pandemic.

We examined factors associated with telehealth utilization during COVID-19 among adult Medicaid beneficiaries with behavioral health conditions. NC Medicaid 2019-2021 beneficiary and claims data. This retrospective cohort study examined and compared behavioral health service use pre-COVID-19 (03/01/2019 to 02/28/2020) and during COVID-19 (04/01/2020 to 03/31/2021). Telehealth users included those with at least one behavioral health visit via telehealth during COVID-19. Descriptive statistics were calculated for overall sample and by telehealth status. Multilevel modified Poisson generalized estimating equation examined associations between telehealth use and patient- and area-level characteristics. We identified individuals ages ≥ 21-64, diagnosed with a behavioral health condition, and had at least one behavioral-health specific visit before COVID-19. Almost two-thirds of the cohort received behavioral health services during COVID-19, with half of these beneficiaries using telehealth. Non-telehealth users had steeper declines in service use from pre- to during COVID-19 compared to telehealth users. Beneficiaries identifying as Black, multiracial or other were significantly less likely to use telehealth (ARR = 0.86; 95% CI: (0.83, 0.89)); (ARR = 0.92; 95% CI: (0.87, 0.96)) compared to White beneficiaries. Those eligible for Medicaid through the blind/disabled programs and who qualified for a state-specific specialized behavioral health plan were more likely to use telehealth (17% and 20%, respectively). During the pandemic, telehealth facilitated continuity of care for beneficiaries with behavioral health conditions. Future research should aim to investigate how to reduce the digital divide and ensure equitable access to telehealth.

Impact of Social Needs Case Management on Use of Medical and Behavioral Health Services: Secondary Analysis of a Randomized Controlled Trial.

Impact of Social Needs Case Management on Use of Medical and Behavioral Health Services: Secondary Analysis of a Randomized Controlled Trial.

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

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

Primary Care and Behavioral Health Services Use Differ Among Medicaid-Enrolled Children by Initial Foster Care Entry Status

Most children in foster care have poor health outcomes and high health care utilization. Health complexity influences health care utilization as well foster care placement. Health care utilization studies among children in foster care have not accounted for health complexity status and foster placement. A 7-year retrospective study linked Colorado child welfare and Medicaid administrative data for 30,164 Medicaid-enrolled children, up to 23 years old, who differed by initial foster care entry, to examine primary care and behavioral health (BH) utilization patterns from 2014 to 2021. Children entering care were matched with replacement to non-foster peers by age, sex, Medicaid enrollment patterns, managed care status, family income, and health complexity. We calculated weighted monthly average percentages of children with primary care and BH utilization by foster care entry, health complexity, sex, and age over 25 months relative to the month of foster care entry for the foster cohort or the reference month for non-foster peers. Children in the foster cohort had lower primary care but higher BH utilization relative to non-foster peers prior to the reference month. Primary care and BH use increased among children in foster care during and 12 months after the reference month, unlike matched comparisons. Primary care and BH utilization increased by health complexity but differed by foster care status and time. Foster care entry and health complexity produced distinct patterns of primary care and BH utilization. Given higher utilization among children in foster care, future investigation should explore health care quality and delivery factors.

Engagement, Use, and Impact of Digital Mental Health Resources for Diverse Populations in COVID-19: Community-Partnered Evaluation.

The COVID-19 pandemic increased disparities for communities burdened by structural barriers such as reduced affordable housing, with mental health consequences. Limited data are available on digital resources for public mental health prevention during the COVID-19 pandemic. The study aim was to evaluate engagement in and impact of free digital resources on the Together for Wellness/Juntos por Nuestro Bienestar (T4W/Juntos) website during COVID-19 in California. A pilot evaluation of T4W/Juntos was performed, with partner agencies inviting providers, clients, and partners to visit the website and complete surveys at baseline (September 20, 2021, to April 4, 2022) and at 4-6-week follow-up (October 22, 2021, to May 17, 2022). Website use was assessed by three engagement items (ease of use, satisfaction, relevance), comfort in use, and use of six resource categories. Primary outcomes at follow-up were depression and anxiety (scores≥3 on Patient Health Questionnaire-2 item [PHQ2] and Generalized Anxiety Disorder-2 item [GAD2] scales). Secondary outcomes were post-pre differences in PHQ2 and GAD2 scores, and use of behavioral health hotlines and services the month before follow-up. Of 366 eligible participants, 315 (86.1%) completed baseline and 193 (61.3%) completed follow-up surveys. Of baseline participants, 72.6% identified as female, and 21.3% identified as lesbian, gay, bisexual, transgender, queer/questioning, and others (LGBTQ+). In terms of ethnicity, 44.0% identified as Hispanic, 17.8% as African American, 26.9% as non-Hispanic white, and 11.4% as other ethnicity. Overall, 32.7% had moderate anxiety or depression (GAD2/PHQ2≥3) at baseline. Predictors of baseline website engagement included being Hispanic versus other race/ethnicity (β=.27, 95% CI .10-.44; P=.002) and number of COVID-19-related behavior changes (β=.09, 95% CI .05-.13; P<.001). Predictors of comfort using the website were preferring English for website use (odds ratio [OR] 5.57, 95% CI 2.22-13.96; P<.001) and COVID-19-related behavior changes (OR 1.37, 95% CI 1.12-1.66; P=.002); receiving overnight behavioral health treatment in the prior 6 months (OR 0.15, 95% CI 0.03-0.69, P=.015) was associated with less comfort in website use. The main predictor of depression at follow-up (PHQ2≥3) was baseline depression (OR 6.24, 95% CI 2.77-14.09; P<.001). Engagement in T4W/Juntos was associated with lower likelihood of depression (OR 0.54, 95% CI 0.34-0.86; P=.01). Website use the month before follow-up was associated with a post-pre reduction in PHQ2 score (β=-.62, 95% CI -1.04 to -0.20; P=.004). The main predictor of GAD2≥3 at follow-up was baseline GAD2≥3 (OR 13.65, 95% CI 6.06-30.72; P<.001). Greater baseline website engagement predicted reduced hotline use (OR 0.36, 95% CI 0.18-0.71; P=.004). Ethnicity/language and COVID-19-related behavior changes were associated with website engagement; engagement and use predicted reduced follow-up depression and behavioral hotline use. Findings are based on participants recommended by community agencies with moderate follow-up rates; however, significance was similar when weighting for nonresponse. This study may inform research and policy on digital mental health prevention resources.

Awareness, Acceptability, and Perceived Effectiveness of Text-Based Therapy Among Graduate Students: Cross-sectional Study.

BackgroundResearch has suggested that there is a mental health crisis occurring among graduate students in the United States. Moreover, many students go without effective treatment owing to the limited availability of mental and behavioral health resources on college campuses. Text-based therapy may represent a viable method for increasing access to mental health support for graduate students, but little is known regarding its acceptability in this population.ObjectiveThe purpose of this study was to assess how graduate students perceive text-based therapy and their likelihood of seeking out this form of therapy.MethodsIn total, 265 graduate students completed a cross-sectional web-based survey that included multiple-choice and open-ended questions assessing their perceptions of text-based therapy and the likelihood of seeking out this form of therapy. Chi-square tests, ANOVAs, and nonparametric Wilcoxon signed-rank tests were used to examine differences in multiple-choice questions. The constant comparative method was used for qualitative analyses of the open-ended question responses.ResultsParticipants (n=265) were predominately non-Hispanic White (166/265, 62.6%) and female (167/265, 63%) with a mean age of 28.3 (SD 5.1) years. Over half of the participants (139/265, 52.5%) were not aware that text-based therapy existed; however, 65.3% (173/265) reported that they would consider using text-based services, if available. In comparison to face-to-face therapy, participants reported being less likely to seek out text-based therapy and perceived it as less effective (P<.001). Qualitative results indicated that participants were concerned about the ability to effectively communicate and build rapport through text-based therapy and thought that this modality may be more effective for some mental and behavioral health concerns than others. Moreover, participants noted that text-based therapy would be best implemented as a way to supplement, rather than replace, face-to-face services.ConclusionsAltogether, the results of this study suggest that text-based therapy holds the potential to increase access to and use of mental and behavioral health services; however, graduate students remain concerned about its effectiveness and the optimal methods of implementation. Future research should investigate how therapeutic processes (eg, effective communication and rapport-building) can be facilitated in digital environments and how text-based therapy could be best implemented to supplement and extend, rather than replace, face-to-face services.

Community Behavioral Health Service Use and Criminal Recidivism of People With Mental, Substance Use, and Co-occurring Disorders.

This study assessed the relationship between community behavioral health service (CBHS) use and criminal recidivism in a broad sample of potential beneficiaries and by diagnostic group. Among a cohort of people on probation with any mental and/or substance use disorder (N=772), the study estimated the effect of CBHS use on rearrest with Cox proportional hazards models. Service use significantly predicted reduced recidivism among people with any mental disorder (hazard rate=0.36, p=0.008), but not among those with any substance use disorder or co-occurring disorders. CBHS use in a given week predicted a 64% reduced recidivism risk during the following week among people with any mental disorder. However, CBHS use had no clear relationship with recidivism among people with co-occurring disorders or any substance use disorder. CBHS use may reduce recidivism, depending on recipient and service characteristics.

One-Year Treatment Utilization Among Adolescents With Bipolar Spectrum Disorder.

Early-onset bipolar disorder is among the costliest psychiatric disorders; yet inpatient and outpatient service use patterns in this group are largely unknown. One-year behavioral and medical health service use was examined among adolescents diagnosed as having bipolar disorder, and rates were compared between adolescents with threshold versus subthreshold bipolar disorder. Participants included 100 adolescents (ages 12–18 years, 85% had been assigned female sex at birth) diagnosed as having bipolar disorder (type I, N=14; type II, N=28; not otherwise specified [NOS], N=58) via semistructured interviews and who consented to electronic health record (EHR) data review for enrollment in a psychosocial treatment study. Service use data were extracted in the year preceding study entry from a data repository containing all clinical and financial records (including outpatient and inpatient behavioral and medical visits) from a large western Pennsylvania health system. EHRs indicated that 99% of adolescents used some behavioral health service, most commonly outpatient psychotherapy (60%) and medication management (43%). Use of intensive behavioral health services was common (49%), and 48% had at least one psychotropic medication noted in their EHR. General medical health services were used by 78%, most commonly outpatient (67%) and emergency department (39%) visits. No differences in service use were observed for adolescents with bipolar disorder type I or II compared with NOS for any services or medications examined. High use of behavioral and medical health services among adolescents with bipolar spectrum disorders has important implications for health care systems, insurers, providers, and consumers. Greater coordination of health care for this high-risk, high-use population may improve outcomes.

Characterization of multilevel influences of mental health care transitions: a comparative case study analysis

PurposeMental health care transitions are increasingly prioritized given their potential to optimize care delivery and patient outcomes, especially those focused on the transition from inpatient to outpatient mental health care. However, limited efforts to date characterize such mental health transition practices, especially those spanning multiple service setting contexts. Examination of key influences of inpatient to outpatient mental health care transitions across care contexts is needed to inform ongoing and future efforts to improve mental health care transitions. The current work aims to characterize multilevel influences of mental health care transitions across three United States-based mental health system contexts.MethodsA comparative multiple case study design was used to characterize transition practices within the literature examining children’s, non-VA adult, and VA adult service contexts. Andersen’s (1995) Behavioral Health Service Use Model was applied to identify and characterize relevant distinct and common domains of focus in care transitions across systems.ResultsSeveral key influences to mental health care transitions were identified spanning the environmental, individual, and health behavior domains, including: community capacity or availability, cross-system or agency collaboration, provider training and experience related to mental health care transitions, client care experience and expectations, and client clinical characteristics or complexity.ConclusionsSynthesis illustrated several common factors across system contexts as well as unique factors for further consideration. Our findings inform key considerations and recommendations for ongoing and future efforts aiming to plan, expand, and better support mental health care transitions. These include timely information sharing, enhanced care coordination and cross setting and provider communication, continued provider/client education, and appropriate tailoring of services to improve mental health care transitions.

Surgical experiences in adolescents and young adults with differences of sex development: A qualitative examination

Surgical intervention in youth with differences of sex development (DSD) is a controversial topic. Historically, evidence suggests that genital surgery in DSD is associated with mixed patient satisfaction. However, less is known about surgical outcomes under therapeutic advancements in the past several decades. The purpose of the current study is to provide an updated and empirical qualitative examination of the surgical experiences and responses to care of adolescents and young adults (AYA) with DSD in order to fill this gap in the literature and inform patient care. Qualitative interviews were conducted with 37 AYA (ages 12-26) with DSD. Interviews were transcribed, coded, and analyzed thematically. Three major themes were identified: 1) knowledge related to surgery; 2) surgical and medical experience; and 3) psychosocial factors related to surgery. Results demonstrated that most AYA were not involved in the decision to pursue surgery and were observed to have varying levels of knowledge regarding their surgeries. Most participants in the current study had received a DSD-related surgery and the majority described having positive surgical experiences and few regrets. Nonetheless, AYA described both medical and psychosocial challenges related to their surgeries and recoveries and offered feedback on ways to improve the surgical process. The current study provides a qualitative examination of the surgical experiences of 37 AYA with DSD. Findings highlight the importance of regular and ongoing communication with providers to improve knowledge related to surgery during the decision-making process as well as after surgical intervention. Results underscore the benefits of multidisciplinary teams and the value of patient handouts and decision aids in assisting AYA in the decision to pursue surgical intervention. Other specific recommendations for providers include increased patient privacy during genital exams, greater emphasis on psychoeducation and pain management strategies, and the use of behavioral health services to assist with challenges and social support. The decision to pursue surgical intervention in youth with DSD remains a complex and controversial issue, and more information regarding patients' perspectives on surgery is needed. The current study provides novel insights into patient experiences of surgical intervention and highlights the need for psychosocial support throughout the shared decision-making process.

Trends in Health Service Utilization After Enrollment in an Interdisciplinary Primary Care Clinic for Veterans with Addiction, Social Determinants of Health, or Other Vulnerabilities.

BackgroundModels of interdisciplinary primary care (IPC) may improve upon traditional primary care approaches in addressing addiction and social determinants of health.ObjectiveTo compare the trends in health care utilization in the year before and after enrollment in an IPC clinic model, and explore the variations in temporal patterns for patients with histories of high emergency department (ED) use, homelessness, and/or substance use disorders (SUDs).Design and ParticipantsInterrupted time series study of utilization among IPC patients.Main MeasuresQuarterly ED, inpatient, primary care, and behavioral health visits were abstracted from administrative data before and after IPC enrollment. Negative binomial segmented regressions estimated changes in health care utilization over time. We used interactions to test for statistical differences in temporal patterns for IPC subgroups.ResultsAmong IPC patients (n=994), enrollment was associated with overall reductions in ED, inpatient, and behavioral health visits (p’s<0.001) and increases in primary care (p’s<0.001). Temporal patterns of ED visits, hospitalizations, and behavioral health differed across IPC subgroups (interaction p’s<0.001). For those with histories of high ED use (n=265), ED, inpatient, and behavioral health visits decreased after enrollment (level change incidence rate ratios [IRRs]=0.57–0.69) and continued to decline over time (post-enrollment IRRs=0.80–0.88). Among other patients with homeless experiences (n=123), there were initial declines in hospitalizations (IRR=0.33) and overall declines in behavioral health visits (level change and post-enrollment IRRs=0.46–0.94). Other patients with SUDs had initial declines in hospitalizations (IRR=0.46), and post-enrollment declines in rates of specialty SUD visits (IRR=0.92). For all patients, primary care visits initially increased (level change IIRs=2.47–1.34) then gradually declined (post-enrollment IRRs=0.92–0.92).ConclusionsAn IPC model of care reduces acute care and behavioral health service use, particularly for patients with historically high ED use. IPC models may improve patient and system outcomes of vulnerable patient populations with social, clinical, and addiction morbidities.

Behavioral health service use post-jail release and reduced risk of return to jail.

This study examined whether behavioral health service use post-jail release was associated with reduced risk of jail reincarceration. The study sample included 20,615 individuals who had behavioral health diagnoses and were released from the Philadelphia County jail. Using administrative records of the county jail and state-, county-, and Medicaid-funded behavioral health service use from 2010 to 2018, we conducted Cox proportional hazard analyses to estimate the association between behavioral health service use post-jail release and the risk of return to jail within 3 years. Nearly 50% of the sample returned to jail within 3 years. Individuals who used behavioral health services were 26%-38% less likely to return to jail within 3 years than were individuals who did not. The study results suggest that connecting individuals with behavioral health services upon release from jail can reduce the risk of repeated jail incarceration.

Behavioral Health, Social Engagement, and Long-Term Care Services Use Among Community Older Adults: USA vs. Taiwan

As healthcare advances, older adults are living longer. While 90% of older adults prefer aging in their own homes and communities, it is important to examine key factors influencing healthy aging-in-community and community-based long-term care (LTC) services available in different countries. This symposium examines behavioral health, social engagement, and LTC services utilization among community-dwelling older adults in the USA and Taiwan. Lessons learned from older adults across countries will provide insights for tailored community-based LTC services and program development. Dr. Hou from The University of Central Florida (UCF) will highlight similarities and differences in behavioral health profiles and the topics that most interest community-dwelling older Americans participating in three aging-in-community programs in Central Florida. Dr. Wang from Case Western Reserve University will examine the impact of neighborhood social cohesion on mobility among community-dwelling older Americans aged 65 and older from the national Health and Retirement Study. Dr. Liu from National Cheng-Kung University in Taiwan will share results of healthy lifestyle on quality of life among community-dwelling older adults in southern Taiwan. Dr. Young from State University of New York at Albany will compare long-term care use among community-dwelling older adults with and without dementia in Central Taiwan. Finally, Drs. Cao and Hou from UCF will analyze home and community-based services in the USA versus Taiwan. This symposium will further discuss similarities and differences of key factors related to healthy aging-in-community, along with practical recommendations and lessons learned across countries and cultural environments to improve community-based long-term care services and programs.

System navigation models to facilitate engagement in pediatric behavioral health services: A systematic review.

Despite increased prevalence and identification of pediatric behavioral health concerns, families face many barriers when attempting to access behavioral health services. System navigators, or individuals experienced in navigating the health system, help to engage families in services by helping individuals overcome barriers for accessing care. However, limited research to date has systematically reviewed the implementation and effectiveness of navigation models in pediatric populations. We systematically reviewed published studies examining navigation models for pediatric populations (up to age 18) referred to behavioral health services. We searched PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and PsycINFO for studies that evaluated a navigation model and included service use outcomes. We aggregated data pertaining to characteristics of the study and navigation model, service use outcomes, and implementation outcomes. Eight studies met inclusion criteria. Families who participated in navigation services were more likely to complete diagnostic assessments and received an increased dosage (e.g., time spent, services completed) of behavioral health treatments. There was notable variability across studies in terms of processes involved in the navigation models. Findings indicate that system navigation is a promising method for improving service use for pediatric populations referred to behavioral health services. Future research may continue to examine the effectiveness and implementation of the model, to best understand its benefits and what processes may contribute to improved service outcomes. Public Significance Statement: This paper reviews the effectiveness of system navigator models, which are designed to engage children and families in behavioral health services. The interventions reviewed are associated with increased behavioral health service use in children and show promise as a method of overcoming barriers to accessing behavioral health care. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The Effects of Integrating Behavioral Health into Pediatric Primary Care at Federally Qualified Health Centers: An All Payer Analysis

Research ObjectiveApproximately 1 in 5 US children have a mental health (MH) disorder. Children with MH disorders, particularly those that are under‐diagnosed or under‐treated, have higher rates of avoidable utilization and health care costs. Despite the availability of evidence‐based treatments for child MH conditions, there are many systemic barriers to receiving adequate MH care, especially for low‐income and racial/ethnic minority populations. There is also substantial unmet need. As such, starting in mid‐2016, three Boston‐based community health centers (CHC) began implementing TEAM UP—a complete behavioral health integration model for low‐income children. Our objective was to examine the impact of TEAM UP on rates of health care utilization in children.Study DesignOur primary data source was the 2014–2017 Massachusetts All Payer Claims Data (APCD). Our primary utilization outcomes included inpatient admissions, emergency department visits, primary care visits, other professional and outpatient visits, and use of behavioral health services (any services, intake/evaluation, psychotherapy, group therapy, psychiatric medication management, family consultation, screening, testing, other therapeutic services, family training and counseling, other outpatient services).Our unit of analysis was the person‐quarter. A difference‐in‐differences approach was used to estimate the effect of the intervention on intervention‐site patients, relative to a comparison group of similar non‐intervention site patients. Utilization outcomes were estimated using generalized estimating equations (GEE) with a negative binomial distribution and log link. For all models, outcome variable Y iq was indexed to patient i in quarter q. Independent variables included a dummy for whether a patient was attributed to an intervention site, a dummy for the pre‐ (2014q1‐2016q2) versus post‐period (2016q3‐2017q4), an interaction term between intervention status and post‐period, quarter, number of eligible member months in quarter q for patient i, a vector member‐level covariates (age, sex, payer type, clinical indicators, zip code‐level covariates), and site fixed effects, with errors clustered at the site‐level and using robust standard errors to account for repeated patient measures. All results are reported as marginal effects.Population StudiedChildren ages 3–21 who were attributed to one of three intervention site CHCs or to one of six geographically proximal non‐intervention site CHCs. This included a final sample of 325,675 person‐quarters representing 31,626 unique children, after exclusions; we excluded the first 6 months before and after implementation due to differential ramp‐up.Principal FindingsAfter 1.5 years of implementation time, TEAM UP was associated with increases in behavioral health service utilization, especially for other therapeutic MH services (difference‐in‐difference: 108.6 visits/1000 patients/quarter, 95% CI: 95.2, 122.0) and family training and counseling (difference‐in‐difference: 78.5 visits/1000 patients/quarter, 95% CI: 69.0, 88.1). Effects were greatest in Medicaid‐enrolled children. We did not observe any short‐term effects on other utilization measures.ConclusionsTEAM UP was associated with increased utilization of pediatric behavioral health services. Additional implementation time is necessary to determine if this will translate into reductions in avoidable utilization.Implications for Policy or PracticeThe TEAM UP model may hold promise in linking low‐income children to behavioral health services.Primary Funding SourceSmith Family Foundation; Klarman Family Foundation.

Predictive modeling of service discontinuation in transitional age youth with recent behavioral health service use.

To develop and test predictive models of discontinuation of behavioral health service use within 12 months in transitional age youth with recent behavioral health service use. Administrative claims for Medicaid beneficiaries aged 15-26 years in Connecticut. We compared the performance of a decision tree, random forest, and gradient boosting machine learning algorithms to logistic regression in predicting service discontinuation within 12 months among beneficiaries using behavioral health services. We identified 33,532 transitional age youth with ≥1 claim for a primary behavioral health diagnosis in 2016 and Medicaid enrollment of ≥11 months in 2016 and ≥11 months in 2017. Classification accuracy for identifying youth who discontinued behavioral health service use was highest for gradient boosting (80%, AUC=0.86), decision tree (79%, AUC=0.84), and random forest (79%, AUC=0.86), as compared with logistic regression (71%, AUC=0.71). Predictive models based on Medicaid claims can assist in identifying transitional age youth who are at risk of discontinuing from behavioral health care within 12 months, thus allowing for proactive assessment and outreach to promote continuity of care for younger persons who have behavioral health needs.

Behavioral Health Services use Among Racial and Ethnic Groups: Results from the California Health Interview Survey (CHIS).

Access and utilization of behavioral health services is a public health issue, yet disparities among racial/ethnic groups persist, resulting in fewer access points and lower utilization. Using pooled 2015 and 2016 California Health Interview Survey (N = 42,089) data of diverse adults, this study examines provider access points for behavioral health services use. Latinx (OR = 0.55, 95% CI, 0.38-0.80), Asian (OR = 0.32, 95% CI, 0.17-0.59), and first generation (OR = 0.56, 95% CI, .38-.83) individuals, reported lower odds of accessing specialty care behavioral health services, compared to no services. First generation adults reported lower odds accessing a primary care physician (OR = 0.66, 95% CI, 0.44-0.98), compared to none. Results advance knowledge of behavioral health services access points among racial, ethnic and immigrant groups, following passage of the California Mental Health Services Act. Findings suggest primary care may be an important entry point for behavioral health service use engagement among underserved populations.