Differential impacts of the COVID-19 pandemic on mental health service access among Medicaid-enrolled individuals.

The COVID-19 public health emergency (PHE) caused significant disruptions in the delivery of care, with in-person visits decreasing and telehealth use increasing. We investigated the impact of these changes on mental health services for Medicaid-enrolled adults and youth in Washington State. Among enrollees with existing mental health conditions, the first year of the PHE was associated with a surge in specialty outpatient mental health visits (13% higher for adults and 7% higher for youth), returning to pre-PHE levels in the second year. Conversely, youth with new mental health needs experienced a decline in specialty outpatient visit rates by ∼15% and 37% in the first and second years of the PHE, respectively. These findings indicate that while mental health service use was maintained or improved for established patients, these patterns did not extend to Medicaid-enrolled youth with new mental health needs, potentially due to barriers such as difficulty in finding providers and establishing new patient-provider relationships remotely. To bridge this gap, there is a need for a multi-faceted approach that includes improving service accessibility, enhancing provider availability, and optimizing initial care encounters, whether in-person or virtual, to better support new patients.

Addiction severity and re-employment in Sweden among adults with risky alcohol and drug use.

BACKGROUND: The Addiction Severity Index (ASI) assesses respondents' biopsychosocial problems in seven addiction-related domains (mental health, family and social relations, employment, alcohol use, drug use, physical health, and legal problems). This study examined the association between the seven ASI composite scores and re-employment in a sample of Swedish adults screened for risky alcohol and drug use who were without employment at assessment. METHODS: We conducted a retrospective cohort analysis of employment outcomes among 6502 unemployed adults living in Sweden who completed an ASI assessment for risky alcohol and drug use. The study linked ASI scores to annual tax register data. The primary outcome was employment, defined as having earnings above an administrative threshold. We used Cox proportional hazard models to estimate the association between time to re-employment and ASI composite scores, controlling for demographic characteristics, RESULTS: Approximately three in ten individuals in the sample regained employment within five years. ASI composite scores suggested widespread biopsychosocial problems. Re-employment was associated with lower ASI composite scores for mental health (estimate: 0.775, 95 % confidence interval: 0.629-0.956), employment (estimate: 0.669, confidence interval: 0.532-0.841), drug use (estimate: 0.628, confidence interval: 0.428-0.924), and health (estimate: 0.798, confidence interval: 0.699-0.912). CONCLUSIONS: This study suggests that several ASI domains may provide information on the complex factors (i.e., mental health, health, drug use) associated with long-term unemployment for people with risky substance use.

Access, Utilization, and Quality of Behavioral Health Integration in Medicaid Managed Care.

Importance: Many states have moved from models that carve out to those that carve in or integrate behavioral health in their Medicaid managed care organizations (MCOs), but little evidence exists about the effect of this change. Objective: To assess the association of the transition to integrated managed care (IMC) in Washington Medicaid with health services use, quality, health-related outcomes, and measures associated with social determinants of health. Design, Setting, and Participants: This cohort study used difference-in-differences analyses of Washington State's 2014 to 2019 staggered rollout of IMC on claims-based measures for enrollees in Washington's Medicaid MCO. It was supplemented with interviews of 24 behavioral health agency leaders, managed care administrators, and individuals who were participating in the IMC transition. The data were analyzed between February 1, 2023, and September 30, 2023. Main Outcomes and Measures: Claims-based measures of utilization (including specialty mental health visits and primary care visits); health-related outcomes (including self-harm events); rates of arrests, employment, and homelessness; and additional quality measures. Results: This cohort study included 1 454 185 individuals ages 13 to 64 years (743 668 female [51.1%]; 14 306 American Indian and Alaska Native [1.0%], 132 804 Asian American and Pacific Islander [9.1%], 112 442 Black [7.7%], 258 389 Hispanic [17.8%], and 810 304 White [55.7%] individuals). Financial integration was not associated with changes in claims-based measures of utilization and quality. Most claims-based measures of outcomes were also unchanged, although enrollees with mild or moderate mental illness experienced a slight decrease in cardiac events (-0.8%; 95% CI, -1.4 to -0.2), while enrollees with serious mental illness experienced small decreases in employment (-1.2%; 95% CI -1.9 to -0.5) and small increases in arrests (0.5%; 95% CI, 0.1 to 1.0). Interviews with key informants suggested that financial integration was perceived as an administrative change and did not have substantial implications for how practices delivered care; behavioral health agencies lacked guidance on how to integrate care in behavioral health settings and struggled with new contracts and regulatory policies that may have inhibited the ability to provide integrated care. Conclusions and Relevance: The results of this cohort study suggest that financial integration at the MCO level was not associated with significant changes in most measures of utilization, quality, outcomes, and social determinants of health. Additional support, including monitoring, training, and funding, may be necessary to drive delivery system changes to improve access, quality, and outcomes.

State- and County-Level Geographic Variation in Opioid Use Disorder, Medication Treatment, and Opioid-Related Overdose Among Medicaid Enrollees.

Importance: The opioid crisis disproportionately affects Medicaid enrollees, yet little systematic evidence exists regarding how prevalence of and health care utilization for opioid use disorder (OUD) vary across geographical areas. Objectives: To characterize state- and county-level variation in claims-based prevalence of OUD and rates of medication treatment for OUD and OUD-related nonfatal overdose among Medicaid enrollees. Design, Setting, and Participants: This cross-sectional study used data from the Transformed Medicaid Statistical Information System Analytic Files from January 1, 2016, to December 31, 2018. Participants were Medicaid enrollees with or without OUD in 46 states; Washington, DC; and Puerto Rico who were aged 18 to 64 years and not dually enrolled in Medicare. The analysis was conducted between September 2022 and April 2023. Exposure: Calendar-year OUD prevalence. Main Outcomes and Measures: The main outcomes were claims-based measures of OUD prevalence and rates of medication treatment for OUD and opioid-related nonfatal overdose. Individual records were aggregated at the state and county level, and variation was assessed within and across states. Results: Of the 76 390 817 Medicaid enrollee-year observations included in our study (mean [SD] enrollee age, 36.5 [1.6] years; 59.0% female), 2 280 272 (3.0%) had a claims-based OUD (mean [SD] age, 38.9 [3.6] years; 51.4% female). Of enrollees with OUD, 41.2% were eligible due to Medicaid expansion, 46.4% had other substance use disorders, 55.8% had mental health conditions, 55.2% had claims indicating some form of OUD medication, and 5.8% had claims indicating an overdose during a calendar year. Claims-based outcomes exhibited substantial variation across states: OUD prevalence ranged from 0.6% in Arkansas and Puerto Rico to 9.7% in Maryland, rates of OUD medication treatment ranged from 17.7% in Kansas to 82.8% in Maine, and rates of overdose ranged from 0.3% in Mississippi to 10.5% in Illinois. Pronounced variation was also found within states (eg, OUD prevalence in Maryland ranged from 2.2% in Prince George's County to 21.6% in Cecil County). Conclusions and Relevance: In this cross-sectional study of Medicaid enrollees from 2016 to 2018, claims-based prevalence of OUD and rates of OUD medication treatment and opioid-related overdose varied substantially across and within states. Further research appears to be needed to identify important factors influencing this variation.

Estimating the Cardiovascular Disease Risk Reduction of a Quality Improvement Initiative in Primary Care: Findings from EvidenceNOW.

BACKGROUND: This study estimates reductions in 10-year atherosclerotic cardiovascular disease (ASCVD) risk associated with EvidenceNOW, a multi-state initiative that sought to improve cardiovascular preventive care in the form of (A)spirin prescribing for high-risk patients, (B)lood pressure control for people with hypertension, (C)holesterol management, and (S)moking screening and cessation counseling (ABCS) among small primary care practices by providing supportive interventions such as practice facilitation. DESIGN: We conducted an analytic modeling study that combined (1) data from 1,278 EvidenceNOW practices collected 2015 to 2017; (2) patient-level information of individuals ages 40 to 79 years who participated in the 2015 to 2016 National Health and Nutrition Examination Survey (n = 1,295); and (3) 10-year ASCVD risk prediction equations. MEASURES: The primary outcome measure was 10-year ASCVD risk. RESULTS: EvidenceNOW practices cared for an estimated 4 million patients ages 40 to 79 who might benefit from ABCS interventions. The average 10-year ASCVD risk of these patients before intervention was 10.11%. Improvements in ABCS due to EvidenceNOW reduced their 10-year ASCVD risk to 10.03% (absolute risk reduction: -0.08, P ≤ .001). This risk reduction would prevent 3,169 ASCVD events over 10 years and avoid $150 million in 90-day direct medical costs. CONCLUSION: Small preventive care improvements and associated reductions in absolute ASCVD risk levels can lead to meaningful life-saving benefits at the population level.

Patients' Willingness to Accept Social Needs Navigation After In-Person versus Remote Screening.

BACKGROUND: Social needs screening and referral interventions are increasingly common in health care settings. Although remote screening offers a potentially more practical alternative to traditional in-person screening, there is concern that screening patients remotely could adversely affect patient engagement, including interest in accepting social needs navigation. METHODS: We conducted a cross-sectional study using a multivariable logistic regression analysis and data from the Accountable Health Communities (AHC) model in Oregon. Participants were Medicare and Medicaid beneficiaries in the AHC model from October 2018 through December 2020. The outcome variable was patients' willingness to accept social needs navigation assistance. We included an interaction term (total number of social needs + screening mode) to test whether in-person versus remote screening was an effect modifier. RESULTS: The study included participants who screened positive for ≥1 social need(s); 43% were screened in person and 57% remotely. Overall, 71% of participants were willing to accept help with social needs. Neither screening mode nor interaction term were significantly associated with willingness to accept navigation assistance. CONCLUSIONS: Among patients presenting with similar numbers of social needs, results indicate that type of screening mode may not adversely affect patients' willingness to accept health care-based navigation for social needs.

The effects of behavioral health integration in Medicaid managed care on access to mental health and primary care services-Evidence from early adopters.

OBJECTIVE: To evaluate the impacts of a transition to an "integrated managed care" model, wherein Medicaid managed care organizations moved from a "carve-out" model to a "carve-in" model integrating the financing of behavioral and physical health care. DATA SOURCES/STUDY SETTING: Medicaid claims data from Washington State, 2014-2019, supplemented with structured interviews with key stakeholders. STUDY DESIGN: This mixed-methods study used difference-in-differences models to compare changes in two counties that transitioned to financial integration in 2016 to 10 comparison counties maintaining carve-out models, combined with qualitative analyses of 15 key informant interviews. Quantitative outcomes included binary measures of access to outpatient mental health care, primary care, the emergency department (ED), and inpatient care for mental health conditions. DATA COLLECTION: Medicaid claims were collected administratively, and interviews were recorded, transcribed, and analyzed using a thematic analysis approach. PRINCIPAL FINDINGS: The transition to financially integrated care was initially disruptive for behavioral health providers and was associated with a temporary decline in access to outpatient mental health services among enrollees with serious mental illness (SMI), but there were no statistically significant or sustained differences after the first year. Enrollees with SMI also experienced a slight increase in access to primary care (1.8%, 95% CI 1.0%-2.6%), but no sustained statistically significant changes in the use of ED or inpatient services for mental health care. The transition to financially integrated care had relatively little impact on primary care providers, with few changes for enrollees with mild, moderate, or no mental illness. CONCLUSIONS: Financial integration of behavioral and physical health in Medicaid managed care did not appear to drive clinical transformation and was disruptive to behavioral health providers. States moving towards "carve-in" models may need to incorporate support for practice transformation or financial incentives to achieve the benefits of coordinated mental and physical health care.

Access to Medications for Opioid Use Disorder in Rural Versus Urban Veterans Health Administration Facilities.

BACKGROUND: For patients with opioid use disorder (OUD), medications for OUD (MOUD) reduce morbidity, mortality, and return to use. Nevertheless, a minority of patients receive MOUD, and underutilization is pronounced among rural patients. OBJECTIVE: While Veterans Health Administration (VHA) initiatives have improved MOUD access overall, it is unknown whether access has improved in rural VA health systems specifically. How "Community Care," healthcare paid for by VHA but received from non-VA providers, has affected rural access is also unknown. DESIGN: Data for this observational study were drawn from the VHA Corporate Data Warehouse. Facility rurality was defined by rural-urban commuting area code of the primary medical center. International Classification of Diseases codes identified patients with OUD within each year, 2015-2020. We included MOUD (buprenorphine, methadone, extended-release naltrexone) received from VHA or paid for by VHA but received at non-VA facilities through Community Care. We calculated average yearly MOUD receipt; linear regression of outcomes on study years identified trends; an interaction between year and rural status evaluated trend differences over time. PARTICIPANTS: All 129 VHA Health Systems, a designation that encompasses one or more medical centers and their affiliated community-based outpatient clinics MAIN MEASURES: The average proportion of patients diagnosed with OUD that receive MOUD within rural versus urban VHA health care systems. KEY RESULTS: From 2015 to 2020, MOUD access increased substantially: the average proportion of patients receiving MOUD increased from 34.6 to 48.9%, with a similar proportion of patients treated with MOUD in rural and urban systems in all years. Overall, a small proportion (1.8%) of MOUD was provided via Community Care, and Community Care did not disproportionately benefit rural health systems. CONCLUSIONS: Strategies utilized by VHA could inform other health care systems seeking to ensure that, regardless of geographic location, all patients are able to access MOUD.

How Does Prior Experience Pay Off in Large-Scale Quality Improvement Initiatives?

INTRODUCTION: To examine the association of prior investment on the effectiveness of organizations delivering large-scale external support to improve primary care. METHODS: Mixed-methods study of 7 EvidenceNOW grantees (henceforth, Cooperatives) and their recruited practices (n = 1720). Independent Variable: Cooperatives's experience level prior to EvidenceNOW, defined as a sustained track record in delivering large-scale quality improvement (QI) to primary care practices (high, medium, or low). Dependent Variables: Implementation of external support, measured as facilitation dose; effectiveness at improving (1) clinical quality, measured as practices' performance on Aspirin, Blood Pressure, Cholesterol, and Smoking (ABCS); and (2) practice capacity, measured using the Adaptive Reserve (AR) score and Change Process Capacity Questionnaire (CPCQ). Data were analyzed using multivariable linear regressions and a qualitative inductive approach. RESULTS: Cooperatives with High (vs low) levels of prior experience with and investment in large-scale QI before EvidenceNOW recruited more geographically dispersed and diverse practices, with lower baseline ABCS performance (differences ranging from 2.8% for blood pressure to 41.5% for smoking), delivered more facilitation (mean=+20.3 hours, P = .04), and made greater improvements in practices' QI capacity (CPCQ: +2.04, P < .001) and smoking performance (+6.43%, P = .003). These Cooperatives had established networks of facilitators at the start of EvidenceNOW and leadership experienced in supporting this workforce, which explained their better recruitment, delivery of facilitation, and improvement in outcomes. DISCUSSION: Long-term investment that establishes regionwide organizations with infrastructure and experience to support primary care practices in QI is associated with more consistent delivery of facilitation support, and greater improvement in practice capacity and some clinical outcomes.