Medicaid Applications Spike during Marketplace Open Enrollment: Lessons from Covered California.

The expansion of Medicaid coverage as part of the Affordable Care Act has insured millions of Americans and reduced costly churn in the program. A large increase in Medicaid applications during Marketplace open enrollment would indicate two potential information gaps: 1) individuals do not know that they are eligible, and/or 2) individuals do not know that they can enroll in Medicaid year-round. We used statewide monthly Medicaid applications data for California over a three-year period (July 2016 to June 2019) to assess whether Marketplace open enrollment influences Medicaid applications. Over one-third of all Medicaid applications (35.0%) were received during months with Marketplace open enrollment, and daily average Medicaid application volume was 32.5% higher in those months than in months outside of open enrollment. These findings generate concerns about whether there is enough consumer education and outreach to potential enrollees to limit coverage gaps and associated barriers in access to care.

The implementation & sustainment facilitation (ISF) strategy: Cost and cost-effectiveness results from a 39-site cluster randomized trial integrating substance use services in community-based HIV service organizations.

Background: As part of the Substance Abuse Treatment to HIV Care Project, the Implementation & Sustainment Facilitation (ISF) strategy was found to be an effective adjunct to the Addiction Technology Transfer Center (ATTC) strategy for integrating a motivational interviewing-based brief intervention (MIBI) for substance use disorders. This study presents the cost and cost-effectiveness results. Methods: Thirty-nine HIV service organizations were randomized to receive the ATTC-only condition or the ATTC + ISF condition. Two staff from each organization received the ATTC-training. In ATTC + ISF organizations, the same two staff and additional support staff participated in facilitation sessions to support MIBI implementation. We estimated costs using primary data on the time spent in each strategy and the time spent delivering 409 MIBIs to clients. We estimated staff-level cost-effectiveness for the number of MIBIs delivered, average MIBI quality scores, and total client days abstinent per staff. We used sensitivity analyses to test how changes to key variables affect the results. Results: Adjusted per-staff costs were $2,915 for the ATTC strategy and $5,371 for ATTC + ISF, resulting in an incremental cost of $2,457. ATTC + ISF significantly increased the number of MIBIs delivered (3.73) and the average MIBI quality score (61.45), yielding incremental cost effectiveness ratios (ICERs) of $659 and $40. Client days abstinent increased by 59 days per staff with a quality-adjusted life-year ICER of $40,578 (95% confidence interval $29,795-$61,031). Conclusions: From the perspective of federal policymakers, ISF as an adjunct to the ATTC strategy may be cost-effective for improving the integration of MIBIs within HIV service organizations, especially if scaled up to reach more clients. Travel accounted for nearly half of costs, and virtual implementation may further increase value. We also highlight two considerations for cost-effectiveness analysis with hybrid trials: study protocols kept recruitment low and modeling choices affect how we interpret the effects on client-level outcomes.

Association of Comorbid Behavioral and Medical Conditions With Cannabis Use Disorder in Pregnancy.

Importance: Prenatal cannabis use continues to increase, yet studies of the demographic, psychiatric, and medical characteristics associated with cannabis use in pregnancy are limited by size and use of self-report, and often do not consider cannabis use disorder (CUD) or concomitant substance use disorders (SUDs). Understanding the factors associated with CUD in pregnancy is paramount for designing targeted interventions. Objective: To examine the prevalence of co-occurring psychiatric and medical conditions of US pregnant individuals hospitalized with and without CUD by concomitant SUDs. Design, Setting, and Participants: The study analyzed restricted hospital discharge data from the 2010 to 2018 Healthcare Cost and Utilization Project State Inpatient Databases in 35 states. Data were analyzed from January to August 2021. Weighted linear regressions tested whether the prevalence of psychiatric and medical conditions differed between individuals with and without a CUD diagnosis at hospitalization. Inpatient hospitalizations of pregnant patients aged 15 to 44 years with a CUD diagnosis were identified. Pregnant patients aged 15 to 44 years without a CUD diagnosis were identified for comparison. Patients were further stratified based on concomitant SUD patterns: (1) other SUDs, including at least 1 controlled substance; (2) other SUDs, excluding controlled substances; and (3) no other SUDs. Exposures: CUD in pregnancy. Main Outcomes and Measures: Prevalence of demographic characteristics, psychiatric disorders (eg, depression and anxiety), and medical conditions (eg, epilepsy and vomiting). Results: The sample included 20 914 591 hospitalizations of individuals who were pregnant. The mean (SD) age was 28.24 (5.85) years. Of the total number of hospitalizations, 249 084 (1.19%) involved CUD and 20 665 507 (98.81%) did not. The proportion of prenatal hospitalizations involving CUD increased from 0.008 in 2010 to 0.02 in 2018. Analyses showed significant differences in the prevalence of almost every medical and psychiatric outcome examined between hospitalizations with and without CUD diagnoses, regardless of concomitant SUDs. Elevations were seen in depression (0.089; 95% CI, 0.083-0.095), anxiety (0.072; 95% CI, 0.066-0.076), and nausea (0.036; 95% CI, 0.033-0.040]) among individuals with CUD only at hospitalization compared with individuals with no SUDs at hospitalization. Conclusions and Relevance: Considerable growth was observed in the prevalence of CUD diagnoses among individuals hospitalized prenatally and in the prevalence of depression, anxiety, nausea, and other conditions in individuals with CUD at hospitalization. This study highlights the need for more screening, prevention, and treatment, particularly in populations with co-occurring CUD and psychiatric disorders. Research on the determinants and outcomes associated with CUD during pregnancy is needed to guide clinicians, policy makers, and patients in making informed decisions.

Marijuana liberalization policies and perinatal health.

We studied the effect of marijuana liberalization policies on perinatal health with a multiperiod difference-in-differences estimator that exploited variation in effective dates of medical marijuana laws (MML) and recreational marijuana laws (RML). We found that the proportion of maternal hospitalizations with marijuana use disorder increased by 23% (0.3 percentage points) in the first three years after RML implementation, with larger effects in states authorizing commercial sales of marijuana. This growth was accompanied by a 7% (0.4 percentage points) decline in tobacco use disorder hospitalizations, yielding a net zero effect over all substance use disorder hospitalizations. RMLs were not associated with statistically significant changes in newborn health. MMLs had no statistically significant effect on maternal substance use disorder hospitalizations nor on newborn health and fairly small effects could be ruled out. In absolute numbers, our findings implied modest or no adverse effects of marijuana liberalization policies on the array of perinatal outcomes considered.

Is implementation of ASAM-based addiction treatment assessments associated with improved 30-day retention and substance use?

BACKGROUND: The American Society of Addiction Medicine (ASAM) criteria were developed to provide a systematic, evidence-based, and transparent approach to addiction treatment assessment and level-of-care recommendations. In 2017, California began a Medicaid demonstration that required that providers in participating counties to adopt ASAM-based intake assessments and level-of-care criteria. We hypothesized that ASAM implementation would increase the proportion of patients retained in addiction treatment and successfully completing their treatment plan. METHODS: We implemented a comparative interrupted time series analysis with 407,792 treatment episodes by Medicaid beneficiaries in specialty addiction treatment settings from 2015 to mid-2019. We compared the change in retention rates and successful completion rates in counties that adopted ASAM-based assessments relative to counties that did not adopt ASAM-based assessments and used only clinical judgment for level-of-care decisions. Treatment retention was defined as staying in addiction treatment for at least 30 days. Successful completion of the treatment plan was determined by the patient's clinician. RESULTS: After one year, ASAM implementation was associated with a 9% increase in 30-day retention among treatment episodes that started in a residential setting, but no change in retention among episodes starting in outpatient settings. We found no statistically significant association between ASAM adoption and successful treatment completion. CONCLUSIONS: Implementation of ASAM-based assessment may lead to improved retention for individuals who begin treatment in residential treatment, which may be encouraging to the many state Medicaid programs that are adopting ASAM-based criteria. More research is needed to clarify the mechanism by which ASAM leads to improved outcomes and to clarify how to maximize the potential benefits of ASAM, such as through patient-centered implementation.

Implementation science on the margins: How do we demonstrate the value of implementation strategies?

Implementation science (IS) has developed as a field to assess effective ways to implement and disseminate evidence-based practices. Although the size and rigor of the field has improved, the economic evaluation of implementation strategies has lagged behind other areas of IS (Roberts, Healey, & Sevdalis, 2019). Beyond demonstrating the effectiveness of implementation strategies, there needs to be evidence that investments in these strategies are efficient or financially sustainable. In this editorial, we lay out conceptual challenges in applying economic evaluation to IS and the implications for conducting economic analyses in integrated primary care research. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Adherence to buprenorphine treatment guidelines among individuals with an opioid use disorder who have private insurance.

BACKGROUND: Although treatment of opioid use disorders (OUD) with medications is expanding, the extent to which practitioners are prescribing medications following best practices has received little attention. OBJECTIVE: The aim of this study was to determine the extent to which privately insured patients being treated for OUD with buprenorphine were treated in a manner consistent with practice guidelines. DESIGN: Longitudinal analyses of a large commercial claims dataset from 2012 to 2016. PARTICIPANTS: We analyzed data for 38,517 patients with an OUD diagnosis continuously enrolled for 3 months prior to and 6 months after an initial buprenorphine or buprenorphine-naloxone prescription fill. MAIN MEASURES: We evaluated whether practitioners tested patients for hepatitis B, hepatitis C, HIV, and liver function; how often they received urine drug screens; the frequency of outpatient visits; and the extent to which they filled prescriptions for buprenorphine for at least 6 months. KEY RESULTS: Practitioners tested approximately 4.7% of patients for hepatitis B, 6.5% for hepatitis C, and 29.3% for HIV; they tested 8.0% for liver functioning; and gave 33.3% urine drug tests. Approximately 76% of patients had at least one outpatient visit for their OUD. Among those with at least one visit, the mean number of visits was 7.38. After the initial prescription, 47.5% stayed on buprenorphine for at least 6 months. CONCLUSIONS: A large portion of privately insured patients receiving buprenorphine for OUD did not receive care consistent with guidelines.

Substance use disorder treatment services for pregnant and postpartum women in residential and outpatient settings.

The increasing prevalence of opioid use disorders among pregnant and postpartum women (PPW) has generated a need for greater availability of specialized programs offering evidence-based and comprehensive substance use disorder treatment services tailored to this population. In this study, we used data from the 2007 to 2018 National Survey of Substance Abuse Treatment Services to describe recent time trends and the geographic distribution of treatment facilities with specialized programs for PPW. We also compared differences in the availability of opioid agonist medication treatments (MT), key ancillary services, and health insurance acceptance between PPW Programs and Other Programs, overall and by residential and outpatient settings. We found that the prevalence of PPW Programs increased from 17% in 2007 to 23% in 2018, for a total of 3,429 PPW Programs and 11,230 Other Programs in 2018. The prevalence of PPW Programs was lowest in some states in the South and Midwest. Compared to Other Programs, PPW Programs were more likely to accept Medicaid (75% vs. 64%) and offer opioid agonist MTs methadone (24% vs. 6%), buprenorphine (44% vs. 30%), or both (18% vs. 4%). PPW Programs were also more likely to offer other key ancillary services such as childcare (16% vs. 3%), transportation (50% vs. 42%), and domestic violence assistance (51% vs. 35%). Compared to PPW Programs in outpatient settings, PPW Programs in residential settings were more likely to offer these key ancillary services but less likely to offer methadone or accept Medicaid. Our findings reflect considerable variation in the availability of PPW Programs over time and across states, as well as substantial gaps in key services offered in PPW Programs, let alone in Other Programs.

Did Arkansas' Medicaid Patient-Centered Medical Home Program Have Spillover Effects on Commercially Insured Enrollees?

Patient-centered medical homes are increasingly being implemented by state Medicaid programs to incentivize high-quality, coordinated care and ultimately lower health care spending. This study examined whether the Arkansas Medicaid Patient-Centered Medical Home Program's practice-wide transformation activities had spillover effects on commercial beneficiaries. We used difference-in-differences to compare utilization and expenditures of commercially insured enrollees as their practices received Medicaid patient-centered medical home certification on a rolling basis between 2014 and 2016. We found a 5.7% increase in outpatient visits and 13% higher expenditures among early adopting practices. Even without associated reductions in costly emergency department visits or inpatient hospital admissions, decisionmakers should not lose sight of the potential value of increased engagement in and coordination of professional services for a population with high unmet health needs. Our results also emphasize that states can leverage Medicaid to spur system-wide transformation, and the investments generate spillover effects beyond those covered directly by Medicaid.

Increasing Access to Opioid Use Disorder Treatment: Assessing State Policies and the Evidence Behind Them.

OBJECTIVE: Combatting the opioid epidemic requires systemic policy changes that address the underutilization of medication-assisted treatment, a therapy that is effective in treating opioid use disorder. In this study, we present approaches used in five states to increase medication-assisted treatment financing and access. METHOD: We conducted case studies in five U.S. states, interviewing key informants and reviewing the published literature and unpublished documents. RESULTS: In these states, Medicaid expansion was the most significant lever available to expand financing and access to medication-assisted treatment. Other key levers include Medicaid Section 1115 SUD demonstrations, State Targeted Response to the Opioid Crisis and State Opioid Response grants, state contracting mechanisms, and other state regulations. CONCLUSIONS: States in this study reported substantial progress in increasing access to medication-assisted treatment, but empirical evidence of their effects is still emerging.

Evaluating time in health care: What are we busy about?

At the end of the day, there are both economic and less tangible benefits to having predictable clinic operations in which people's medical and behavioral health needs are met. These different benefits, stemming from changes in how time is used, are relevant to a wide range of stakeholders including administrators, clinicians, and patients. In short, time is one of our most important resources in health care. Therefore, time studies have a crucial role to play in advancing the implementation of integrated care. In this editorial we describe several methods for measuring time and invite readers to consider which of these (or another method you're aware of) balances your needs for precision and feasibility of measurement. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Alcohol use and the wage returns to education and work experience.

Despite a widely held belief that alcohol use should negatively impact wages, much of the literature on the topic suggests a positive relationship between nonproblematic alcohol use and wages. Studies on the effect of alcohol use on educational attainment have also failed to find a consistent, negative effect of alcohol use on years of education. Thus, the connections between alcohol use, human capital, and wages remain a topic of debate in the literature. In this study, we use the 1997 cohort of the National Longitudinal Survey of Youth to estimate a theoretical model of wage determination that links alcohol use to wages via human capital. We find that nonbinge drinking is associated with lower wage returns to education whereas binge drinking is associated with increased wage returns to both education and work experience. We interpret these counterintuitive results as evidence that alcohol use affects wages through both the allocative and productive efficiency of human capital formation and that these effects operate in offsetting directions. We suggest that alcohol control policies should be more nuanced to target alcohol consumption in the contexts within which it causes harm.

Effects of a Flexibility/Support Intervention on Work Performance: Evidence From the Work, Family, and Health Network.

PURPOSE: To estimate the effects of a workplace initiative to reduce work-family conflict on employee performance. DESIGN: A group-randomized multisite controlled experimental study with longitudinal follow-up. SETTING: An information technology firm. PARTICIPANTS: Employees randomized to the intervention (n = 348) and control condition (n = 345). INTERVENTION: An intervention, "Start. Transform. Achieve. Results." to enhance employees' control over their work time, to increase supervisors' support for this change, and to increase employees' and supervisors' focus on results. METHODS: We estimated the effect of the intervention on 9 self-reported employee performance measures using a difference-in-differences approach with generalized linear mixed models. Performance measures included actual and expected hours worked, absenteeism, and presenteeism. RESULTS: This study found little evidence that an intervention targeting work-family conflict affected employee performance. The only significant effect of the intervention was an approximately 1-hour reduction in expected work hours. After Bonferroni correction, the intervention effect is marginally insignificant at 6 months and marginally significant at 12 and 18 months. CONCLUSION: The intervention reduced expected working time by 1 hour per week; effects on most other employee self-reported performance measures were statistically insignificant. When coupled with the other positive wellness and firm outcomes, this intervention may be useful for improving employee perceptions of increased access to personal time or personal wellness without sacrificing performance. The null effects on performance provide countervailing evidence to recent negative press on work-family and flex work initiatives.

Sustaining SBIRT in the wild: simulating revenues and costs for Screening, Brief Intervention and Referral to Treatment programs.

AIMS: To examine the conditions under which Screening, Brief Intervention and Referral to Treatment (SBIRT) programs can be sustained by health insurance payments. DESIGN: A mathematical model was used to estimate the number of patients needed for revenues to exceed costs. SETTING: Three medical settings in the United States were examined: in-patient, out-patient and emergency department. Components of SBIRT were delivered by combinations of health-care practitioners (generalists) and behavioral health specialists. PARTICIPANTS: Practitioners in seven SBIRT programs who received grants from the US Substance Abuse and Mental Health Services Administration (SAMHSA). MEASUREMENTS: Program costs and revenues were measured using data from grantees. Patient flows were measured from administrative data and adjusted with prevalence and screening estimates from the literature. FINDINGS: SBIRT can be sustained through health insurance reimbursement in out-patient and emergency department settings in most staffing mixes. To sustain SBIRT in in-patient programs, a patient flow larger than the national average may be needed; if that flow is achieved, the range of screens required to maintain a surplus is narrow. Sensitivity analyses suggest that the results are very sensitive to changes in the proportion of insured patients. CONCLUSIONS: Screening, Brief Intervention and Referral to Treatment programs in the United States can be sustained by health insurance payments under a variety of staffing models. Screening, Brief Intervention and Referral to Treatment programs can be sustained only in an in-patient setting with above-average patient flow (more than 2500 screens). Screening, Brief Intervention and Referral to Treatment programs in out-patient and emergency department settings can be sustained with below-average patient flows (fewer than 125 000 out-patient visits and fewer than 27 000 emergency department visits).

The Impact of a Mandated Trauma Center Alcohol Intervention on Readmission and Cost per Readmission in Arizona.

BACKGROUND: Persons appearing in trauma centers have a higher prevalence of unhealthy alcohol use than the general population. Screening and brief intervention (SBI) is designed to moderate drinking levels and avoid costly future readmissions, but few studies have examined the impact of SBI on hospital readmissions and health care costs in a trauma population. RESEARCH DESIGN: This study uses comparative interrupted time-series and the Arizona State Inpatient Database to estimate the effect of the American College of Surgeons Committee on Trauma SBI mandate on the probability of readmission and cost per readmission in Arizona trauma centers. We compare individuals with and without an alcohol diagnosis code before and after the mandate was implemented. RESULTS: The mandate resulted in a 2.2 percentage point reduction (44%) in the probability of readmission. Total health care and readmission costs were not affected by the mandate. CONCLUSIONS: The estimates are consistent with a differential effect of SBI: SBI reduces readmissions among those who present with a less serious alcohol-related problem. Persons with more serious alcohol problems are less likely to respond to SBI. These higher risk individuals likely have a higher cost, which may explain the lack of change in readmission costs. Our study is a macrolevel intent-to-treat analysis of SBI's impact that corroborates the potential of SBI implied by efficacy studies in trauma centers and other settings. This study provides a framework for future research involving more states and health systems and evaluating other SBI policies.

The cost of implementing a jail diversion program for people with mental illness in San Antonio, Texas.

Jail diversion programs for people with mental illness are designed to redirect offenders with mental illness into community treatment. Although much has been published about program models and their successes, little detail is available to policy makers and community stakeholders on the resources required to start and implement a jail diversion program and which agencies bear how much of the burden. The current study used data on a model jail diversion program in San Antonio, Texas, to address this research gap. Data on staff costs, client contacts, planning, and implementation were collected for three types of diversion: pre-booking police, post-booking bond, and post-booking docket. An activity-based costing algorithm was developed to which parameter values were applied. The start-up cost for the program was $556,638.69. Pre-booking diversion cost $370 per person; 90% of costs were incurred by community mental health agencies for short-term monitoring and screening (>80% of activities). Post-booking bond and docket diversion cost $238 and $205 per person, respectively; the majority of costs were incurred by the courts for court decisions. Developing a multiple-intercept jail diversion program requires significant up-front investment. The share of costs varies greatly depending on the type of diversion.

The impact on taxpayer costs of a jail diversion program for people with serious mental illness.

Mental illness is prevalent among those incarcerated. Jail diversion is one means by which people with mental illness are treated in the community - often with some criminal justice system oversight - instead of being incarcerated. Jail diversion may lead to immediate reductions in taxpayer costs because the person is no longer significantly engaged with the criminal justice system. It may also lead to longer term reductions in costs because effective treatment may ameliorate symptoms, reduce the number of future offenses, and thus subsequent arrests and incarceration. This study estimates the impact on taxpayer costs of a model jail diversion program for people with serious mental illness. Administrative data on criminal justice and treatment events were combined with primary and secondary data on the costs of each event. Propensity score methods and a quasi-experimental design were used to compare treatment and criminal justice costs for a group of people who were diverted to a group of people who were not diverted. Diversion was associated with approximately $2800 lower taxpayer costs per person 2 years after the point of diversion (p<.05). Reductions in criminal justice costs drove this result. Jail diversion for people with mental illness may thus be justified fiscally.

Costs of alcohol screening and brief intervention in medical settings: a review of the literature.

OBJECTIVE: This article summarizes the literature on the implementation costs of alcohol screening and brief intervention (SBI) in medical settings. METHOD: Electronic databases were searched using SBI- and cost-related terms. Methodological approaches and cost estimates were abstracted from each study and categorized based on the cost methodology. Costs were updated to 2009 U.S. dollars. To determine a summary cost measure, we excluded outliers and computed the median of the remaining cost estimates. RESULTS: Seventeen studies with cost estimates were identified for further study. Costs ranged from $0.51 to $601.50 per screen and from $3.41 to $243.01 per brief intervention (BI). Cost estimates were lower when an activity-based cost methodology was used, in primary care settings, and when the provider was not a doctor. The median summary cost of a screen is approximately $4, and the median summary cost of a BI is approximately $48. CONCLUSIONS: Screening cost estimates had more variation than BI cost estimates. Provider type and service delivery time drive the cost variation. Interpretation of cost differences was limited by insufficient reporting of the cost methodology. Cost estimates presented here are similar in size to the Healthcare Common Procedure Coding System and Current Procedural Terminology reimbursement amounts, suggesting that insurance-based service reimbursement may be sufficient to sustain alcohol SBI in practice.

The cost of screening and brief intervention in employee assistance programs.

Few studies examine the costs of conducting screening and brief intervention (SBI) in settings outside health care. This study addresses this gap in knowledge by examining the employer-incurred costs of SBI in an employee assistance program (EAP) when delivered by counselors. Screening was self-administered as part of the intake paperwork, and the brief intervention (BI) was delivered during a regular counseling session. Training costs were $83 per counselor. The cost of a screen to the employer was $0.64; most of this cost comprised the cost of the time the client spent completing the screen. The cost of a BI was $2.52. The cost of SBI is lower than cost estimates of SBI conducted in a health care setting. The low costs for the current study suggest that only modest gains in outcomes would likely be needed to justify delivering SBI in an EAP setting.

A systematic review and meta-analysis of health care utilization outcomes in alcohol screening and brief intervention trials.

OBJECTIVE: This systematic review and meta-analysis examines the effect of screening and brief intervention (SBI) on outpatient, emergency department (ED), and inpatient health care utilization outcomes. Much of the current literature speculates that SBI provides cost savings through reduced health care utilization, but no systematic review or meta-analysis examines this assertion. METHOD: Publications were abstracted from online journal collections and targeted Web searches. The systematic review included any publications that examined the association between SBI and health care utilization. Each publication was rated independently by 2 study authors and assigned a consensus methodological score. The meta-analysis focused on those studies examined in the systematic review, but it excluded publications that had incomplete data, low methodological quality, or a cluster-randomized design. RESULTS: Systematic review results suggest that SBI has little to no effect on inpatient or outpatient health care utilization, but it may have a small, negative effect on ED utilization. A random effects meta-analysis using the Hedges method confirms the ED result for SBI delivered across settings (standardized mean difference = -0.06, I = 13.9%) but does not achieve statistical significance (confidence interval: -0.15, 0.03). CONCLUSIONS: SBI may reduce overall health care costs, but more studies are needed. Current evidence is inconclusive for SBI delivered in ED and non-ED hospital settings. Future studies of SBI and health care utilization should report the estimated effects and variance, regardless of the effect size or statistical significance.