The Relationship Between Reductions in WHO Risk Drinking Levels During Treatment and Subsequent Healthcare Costs for the ACTIVE Workgroup.

BACKGROUND: Abstinence has historically been considered the target outcome for alcohol use disorder (AUD) treatment, yet recent work has found drinking reductions after AUD treatment, as measured by World Health Organization (WHO) risk drinking levels, are associated with meaningful improvements in functioning, physical health, and quality of life. OBJECTIVES: This study extends previous analyses of AUD treatment outcomes by estimating the association between changes in WHO risk drinking levels (very high, high, medium, and low, based on average daily alcohol consumption) and healthcare costs. METHODS: Secondary data analysis of the COMBINE study, a multisite randomized clinical trial of acamprosate, naltrexone and behavioral interventions for AUD. Generalized gamma regression models were used to estimate relationships between WHOrisk drinking level reductions over the course of treatment and healthcare costs in the year after treatment (N = 964) and up to 3 years following treatment (N = 651). RESULTS: SustainedWHOrisk drinking reductions of 2 or more levels throughout treatment were associated with 52.0% lower healthcare costs ( P < 0.001) in the year following treatment, and 44.0% lower costs ( P < 0.0025) over 3 years. A reduction of exactly 1 level was associated with 34.8% lower costs over 3 years, which was not significant ( P = 0.05). Cost reductions were driven by lower inpatient behavioral health and emergency department utilization. CONCLUSIONS: Reduction in WHO risk drinking levels of at least 2 levels was associated with lower healthcare costs over 1 and 3 years. Our results add to literature showing drinking reductions are associated with improvement in health.

Health economic design for cost, cost-effectiveness and simulation analyses in the HEALing Communities Study.

BACKGROUND: The HEALing Communities Study (HCS) is designed to implement and evaluate the Communities That HEAL (CTH) intervention, a conceptually driven framework to assist communities in selecting and adopting evidence-based practices to reduce opioid overdose deaths. The goal of the HCS is to produce generalizable information for policy makers and community stakeholders seeking to implement CTH or a similar community intervention. To support this objective, one aim of the HCS is a health economics study (HES), the results of which will inform decisions around fiscal feasibility and sustainability relevant to other community settings. METHODS: The HES is integrated into the HCS design: an unblinded, multisite, parallel arm, cluster randomized, wait list-controlled trial of the CTH intervention implemented in 67 communities in four U.S. states: Kentucky, Massachusetts, New York, and Ohio. The objectives of the HES are to estimate the economic costs to communities of implementing and sustaining CTH; estimate broader societal costs associated with CTH; estimate the cost-effectiveness of CTH for overdose deaths avoided; and use simulation modeling to evaluate the short- and long-term health and economic impact of CTH, including future overdose deaths avoided and quality-adjusted life years saved, and to develop a simulation policy tool for communities that seek to implement CTH or a similar community intervention. DISCUSSION: The HCS offers an unprecedented opportunity to conduct health economics research on solutions to the opioid crisis and to increase understanding of the impact and value of complex, community-level interventions.

Estimating Long-Term Drinking Patterns for People with Lifetime Alcohol Use Disorder.

Background. There is a lack of data on alcohol consumption over time. This study characterizes the long-term drinking patterns of people with lifetime alcohol use disorders who have engaged in treatment or informal care. Methods. We developed multinomial logit models using the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) to estimate short-term transition probabilities (TPs) among the 4 World Health Organization drinking risk levels (low, medium, high, and very high risk) and abstinence by age, sex, and race/ethnicity. We applied an optimization algorithm to convert 3-year TPs from NESARC to 1-year TPs, then used simulated annealing to calibrate TPs to a propensity-scored matched set of participants derived from a separate 16-year study of alcohol consumption. We validated the resulting long-term TPs using NESARC-III, a cross-sectional study conducted on a different cohort. Results. Across 24 demographic groups, the 1-year probability of remaining in the same state averaged 0.93, 0.81, 0.49, 0.51, and 0.63 for abstinent, low, medium, high, and very high-risk states, respectively. After calibration to the 16-year study data (N = 420), resulting TPs produced state distributions that hit the calibration target. We find that the abstinent or low-risk states are very stable, and the annual probability of leaving the very high-risk state increases by about 20 percentage points beyond 8 years. Limitations. TPs for some demographic groups had small cell sizes. The data used to calibrate long-term TPs are based on a geographically narrow study. Conclusions. This study is the first to characterize long-term drinking patterns by combining short-term representative data with long-term data on drinking behaviors. Current research is using these patterns to estimate the long-term cost effectiveness of alcohol treatment.

Remission from chronic opioid use-Studying environmental and socio-economic factors on recovery (RECOVER): Study design and participant characteristics.

Few opioid use disorder (OUD) treatment studies measure meaningful life changes during long-term recovery, focusing instead on retention and abstinence. Here, we report on the design and participant characteristics of the RECOVER study, a study exploring life changes in persons with OUD for up to 24 months following participation in a Phase III trial evaluating buprenorphine extended-release monthly injection for subcutaneous use (known as RBP-6000 during development). This multisite, observational, cohort study tracks clinical, environmental, and socio-economic changes using self-administered assessments, urine drug screens (UDS), and public databases. Outcomes include demographics (e.g., patient characteristics, employment history, criminal history), lifetime and recent OUD drug use and treatment, and current health and resource use. Demographic and psychosocial characteristics are compared to a national, population-based study. RECOVER participants (N = 533) tend to be single, white, males aged 26 years or older. Mean age at first opioid use was 21.7 years; lifetime substance-related overdose was 24.2%. At first assessment, 334 (62.7%) participants reported past 7-day and 296 (55.5%) reported past 28-day opioid abstinence. Five hundred UDS were collected at the first assessment; buprenorphine (90.6%), marijuana (45.2%), and opiates (34.4%) were most commonly identified. Two hundred forty-nine (47.2%) participants reported full- or part-time employment. Participants were like a national sample with differences found for age, race/ethnicity, employment, education, and health-related quality of life. We hope that further research using this approach can provide data supporting the patient-centered development of OUD treatments and be adopted by substance use disorder studies to incorporate recovery-related, life-activity outcomes.

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.

Estimation of Breast Cancer Incident Cases and Medical Care Costs Attributable to Alcohol Consumption Among Insured Women Aged <45 Years in the U.S.

INTRODUCTION: This study estimated the percentage of breast cancer cases, total number of incident cases, and total annual medical care costs attributable to alcohol consumption among insured younger women (aged 18-44 years) by type of insurance and stage at diagnosis. METHODS: The study used the 2012-2013 National Survey on Drug Use and Health, cancer incidence data from two national registry programs, and published relative risk measures to estimate the: (1) alcohol-attributable fraction of breast cancer cases among younger women by insurance type; (2) total number of breast cancer incident cases attributable to alcohol consumption by stage at diagnosis and insurance type among younger women; and (3) total annual medical care costs of treating breast cancer incident cases attributable to alcohol consumption among younger women. Analyses were conducted in 2016; costs were expressed in 2014 U.S. dollars. RESULTS: Among younger women enrolled in Medicaid, private insurance, and both groups, 8.7% (95% CI=7.4%, 10.0%), 13.8% (95% CI=13.3%, 14.4%), and 12.3% (95% CI=11.4%, 13.1%) of all breast cancer cases, respectively, were attributable to alcohol consumption. Localized stage was the largest proportion of estimated attributable incident cases. The estimated total number of breast cancer incident alcohol-attributable cases was 1,636 (95% CI=1,570, 1,703) and accounted for estimated total annual medical care costs of $148.4 million (95% CI=$140.6 million, $156.1 million). CONCLUSIONS: Alcohol-attributable breast cancer has estimated medical care costs of nearly $150 million per year. The current findings could be used to support evidence-based interventions to reduce alcohol consumption in younger women.

The Relationship Between End-of-Treatment Alcohol Use and Subsequent Healthcare Costs: Do Heavy Drinking Days Predict Higher Healthcare Costs?

BACKGROUND: A challenge for evaluating alcohol treatment efficacy is determining what constitutes a "good" outcome or meaningful improvement. Abstinence at the end of treatment is an unambiguously good outcome; however, a focus on abstinence ignores the potential benefits of patients reducing their drinking to less problematic levels. Patients may be drinking at low-risk levels at the end of treatment but may be high-functioning and impose few social costs. In this study, we estimate the relationship between drinking at the end of COMBINE treatment and subsequent healthcare costs with an emphasis on heavy and nonheavy drinking levels. METHODS: Indicators of heavy drinking days (HDDs; 5+ drinks for men, 4+ for women) and nonheavy drinking days (non-HDDs) during the last 30 days of COMBINE treatment were constructed for 748 patients enrolled in the COMBINE Economic Study. Generalized linear models were used to model total costs following COMBINE treatment as a function of drinking indicators. Different model specifications analyzed alternative counts of HDDs (e.g., 1 HDD and 2 to 30 HDDs), and groups having Both non-HDDs and HDDs. RESULTS: Patients with HDDs had 66.4% (p < 0.01) higher healthcare costs than those who were abstinent. Having more than 2 HDDs was associated with the highest costs (75.9%, p < 0.01). Patients with non-HDDs had costs that were not significantly different than abstainers, even if they also had HDDs. However, those with HDDs only had costs 91.7% higher than abstainers (p < 0.01). CONCLUSIONS: Having HDDs at the end of treatment is associated with higher costs. Patients who had Only HDDs at the end of treatment had worse subsequent outcomes than those who had Both non-HDDs and HDDs. These findings offer new context for evaluating treatment outcomes and provide new information on the association of drinking with consequences.

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.

Medication costs to private insurers of diversion of medications for attention-deficit hyperactivity disorder.

BACKGROUND: The diversion of prescription stimulants for misuse, particularly those used in the treatment of attention-deficit hyperactivity disorder (ADHD), is potentially a significant problem for public health and for healthcare funding and delivery. Most prior research on the diversion of prescription stimulants for misuse, particularly those used in the treatment of ADHD, has focused on the 'end users' of diverted medications rather than the suppliers. Furthermore, little is known about the direct costs of diversion for third-party insurance payers in the US. OBJECTIVES: The objectives of this study were to estimate the prevalence in the US of people whose private insurance paid costs for ADHD prescriptions that they gave or sold to another person (diversion), and to estimate medication costs of diversion to private insurers. METHODS: Estimates are from a cross-sectional survey of respondents from two Internet survey panels targeting individuals aged 18-49 years in the civilian, noninstitutionalized US population, principally for those who filled prescriptions for ADHD medications in the past 30 days that were covered by private health insurance. Analysis weights were post-stratified to control totals from the Current Population Survey and National Health Interview Survey. Weighted prevalence rates and standard errors for diversion are reported, as are the costs of diverted pills using drug prices reported in the 2008 Thomson Reuters RED BOOK™. Sensitivity analyses were conducted that varied the cost assumptions for medications. RESULTS: Among individuals aged 18-49 years whose private insurance paid some costs for ADHD medications in the past 30 days, 16.6% diverted medications from these prescriptions. Men aged 18-49 years for whom private insurance paid some costs of ADHD drugs in the past 30 days were more than twice as likely as their female counterparts to divert medications from these prescriptions (22.5% vs 9.1%; p = 0.03). After a pro-rated co-payment share was subtracted, the estimated value of diverted medications in a 30-day period was $US8.0 million. Lower- and upper-bound estimates were $US6.9 million to $US17 million, for a range of $US83 million to $US204 million annually. Overall, diversion accounted for about 3.6% of the total costs that private insurers paid for ADHD medications (range: 3.5-4.5%). The percentages varied by medication category, although relative differences were sensitive to inclusion of a pro-rated co-payment. A higher percentage of the costs of extended-release (XR) medications was lost to diversion compared with that for immediate-release (IR) medications. CONCLUSIONS: Costs of ADHD medications paid for by private insurers that were lost to diversion were small relative to the total estimated medication costs and relative to total estimated healthcare costs for treating ADHD. Nevertheless, there may be significant cost savings for insurers if diversion can be reduced, particularly for XR medications. These findings represent a first step to informing policies to reduce diversion both in the interest of public health and for direct and indirect cost savings to insurers.