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Background: In the United States, there has been a concerning rise in the prevalence of opioid use disorders (OUD) among transition-age (TA) adults, 18 to 25-years old, with a disproportionate impact on individuals and families covered by Medicaid. Of equal concern, the treatment system continues to underperform for many young people, emphasizing the need to address the treatment challenges faced by this vulnerable population at a pivotal juncture in their life course. Pharmacotherapy is the most effective treatment for OUD, yet notably, observational studies reveal gaps in the receipt of and retention in medications for opioid use disorder (MOUD), resulting in poor outcomes for many TA adults in treatment. Few current studies on OUD treatment quality explicitly consider the influence of individual, organizational, and contextual factors, especially for young people whose social roles and institutional ties remain in flux., Methods: We introduce a retrospective, longitudinal cohort design to study treatment quality practices and outcomes among approximately 65,000 TA adults entering treatment for OUD between 2012 and 2025 in New York. We propose to combine data from multiple sources, including Medicaid claims and encounter data and a state registry of substance use disorder (SUD) treatment episodes, to examine three aspects of OUD treatment quality: 1) MOUD use, including MOUD option (e.g., buprenorphine, methadone, or extended-release [XR] naltrexone); 2) adherence to pharmacotherapy and retention in treatment; and 3) adverse events (e.g., overdoses). Using rigorous analytical methods, we will provide insights into how variation in treatment practices and outcomes are structured more broadly by multilevel processes related to communities, treatment programs, and characteristics of the patient, as well as their complex interplay., Discussion: Our findings will inform clinical decision making by patients and providers as well as public health responses to the rising number of young adults seeking treatment for OUD amidst the opioid and polysubstance overdose crisis in the U.S., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Aleksanyan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: New York State implemented a Health Homes (HH) care management program to facilitate access to health services for Medicaid enrollees with multiple chronic conditions. This study assessed the impact of HH on health care utilization outcomes among enrollees who have substance use disorder (SUD)., Methods: Using HH enrollment data and Medicaid claims data 1 year before and after enrollment, this study compared HH enrollees who enrolled between 2012 and 2014 to a statistically matched comparison group created with propensity score methods. Analyses used generalized gamma models, logistic regression models, and difference-in-differences analyses to assess the impact of HH on general (all-cause) health care and SUD-related outpatient, emergency department (ED), hospitalization, and detoxification utilization as well as total Medicaid cost., Results: The sample consisted of 41,229 HH enrollees and a comparison group of 39,471 matched patients. HH-enrolled patients who had SUD utilized less SUD-related ED services (average marginal effect (AME) = -1.85; 95% CI = -2.45, -1.24), SUD-related hospitalizations (AME = -1.28; 95% CI: -1.64, -0.93), and detoxification services (AME = -1.30; 95% CI = -1.64, -0.96), relative to the comparison group during the 1 year post-HH enrollment. SUD-related outpatient visits did not change significantly (AME = -0.28; 95% CI = -0.76, 0.19) for enrollees, but general health care outpatient visits increased (AME = 1.63; 95% CI = 1.33, 1.93)., Conclusion: These findings provide preliminary evidence that care management programs can decrease ED visits and hospitalizations among people with SUD., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background and Objectives: This paper investigates the prevalence and predictors for opioid use disorder (OUD) pharmacotherapy utilization for Medicaid-insured patients with human immunodeficiency virus (HIV) in New York., Methods: We identified patients with HIV and OUD in 2014 in the New York State Medicaid claims data (n = 5621). The claims were used to identify individual client medication for addiction treatment (MAT) utilization, demographic information, and other medical and psychiatric health conditions. The logistic regression analyses were performed to explore the potential predictors of MAT service utilization among people with HIV and OUD., Results: Of 5621 identified patients with HIV and OUD, 3647 (65%) received some type of MAT. Eighty-seven percent of treated patients received methadone while 10% received buprenorphine and 3% utilized both the therapies., Conclusions and Scientific Significance: A substantial number of patients with HIV and OUD did not receive MAT. Findings suggest that there are opportunities to improve OUD care for patients with HIV and OUD, particularly among the younger generation, blacks, individuals living outside of New York City, and among those with serious psychiatric conditions. This initial study suggests that an additional research is needed to better understand how the gap in care affects this population. (Am J Addict 2020;29:151-154)., (© 2020 American Academy of Addiction Psychiatry.)

Background: Medication for addiction treatment (MAT) has received much attention in recent years for treating individuals with opioid use disorders (OUD). However, these medications have been significantly underused among particular subgroups. In this paper, we describe the age distribution of treatment episodes for substance use disorder among Medicaid beneficiaries in New York and corresponding MAT use., Methods: Using New York Medicaid claims, we identified individuals with OUD that received treatment for substance use disorder in 2015. The type of substance use treatment is the primary outcome measure, which includes methadone, buprenorphine, naltrexone or other non-medication treatment., Results: A total of 88,637 individuals were diagnosed with OUD and received treatment for substance use disorder and 56,926 individuals received some type of MAT in 2015, with 40.2% receiving methadone, 21.9% receiving buprenorphine and 2.2% receiving naltrexone while 21.9% received non-medication based treatment. Young adults (ages 18-29) were a large proportion (25%) of individuals in treatment for OUD yet were the least likely to receive MAT. Relative to young adults, 30-39 year olds (adjusted odds ratio [AOR] = 1.62, 95% CI = 1.56-1.68), 40-49 year olds (AOR = 1.90, 95% CI = 1.82-1.99), 50-59 year olds (AOR = 2.65, 95% CI = 2.52-2.78), and 60-64 year olds (AOR = 5.03, 95% CI = 4.62-5.48) were more likely to receive MAT., Conclusions: These preliminary findings highlight high numbers of young adults in treatment for OUD and low rates of MAT, which is not consistent with treatment guidelines. Significant differences exist in the type of medication prescribed across age. More attention is needed to address the treatment needs among individuals of different age, notably young adults.

Reducing repeat use of costly inpatient services, such as inpatient withdrawal management, among Medicaid members is a target of healthcare reform. However, characteristics of frequent users of inpatient withdrawal management are understudied. We described the characteristics, service utilization, and costs of New York Medicaid clients who use withdrawal management services by analyzing data from Medicaid records from 2008. We examined follow-up care for individuals with different levels of repeat withdrawal management. We found 32,196 Medicaid withdrawal management patients with a total of 67,073 episodes and we divided patients into low (1 episode, n = 19,602), medium (2-3 episodes, n = 8619) and high (≥4 episodes, n = 3978) use categories. High users had almost 8 times the withdrawal management cost of low users. Similarly, they had 5 times more emergency department visits than low users. High users had high levels of homelessness (75%), 20% had HIV/AIDS, and 40% had Hepatitis. High withdrawal management users were less likely than low users to receive any follow-up treatment services. Medicaid clients with high utilization of inpatient withdrawal management are a small but costly population with poor follow-up rates to subsequent treatment services. They are a socially disenfranchised group that may benefit from targeted services to address their complex clinical needs., (Copyright © 2018 Elsevier Inc. All rights reserved.)

High utilizers of alcohol and other drug treatment (AODTx) services are a priority for healthcare cost control. We examine characteristics of Medicaid-funded AODTx clients, comparing three groups: individuals <90th percentile of AODTx expenditures (n=41,054); high-cost clients in the top decile of AODTx expenditures (HC; n=5,718); and 1760 enrollees in a chronic care management (CM) program for HC clients implemented in 22 counties in New York State. Medicaid and state AODTx registry databases were combined to draw demographic, clinical, social needs and treatment history data. HC clients accounted for 49% of AODTx costs funded by Medicaid. As expected, HC clients had significant social welfare needs, comorbid medical and psychiatric conditions, and use of inpatient services. The CM program was successful in enrolling some high-needs, high-cost clients but faced barriers to reaching the most costly and disengaged individuals., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Aims: We examined the effects of a statewide New York (NY) care management (CM) program for substance use disorder (SUD), Managed Addiction Treatment Services (MATS), on SUD treatment services' utilization and spending among patients with a recent history of high Medicaid spending and among those for whom a predictive algorithm indicates a higher probability of outlier spending in the following year. Methods: We applied difference-in-difference analyses with propensity score matching using NY Medicaid claims data and a state registry of SUD-treatment episodes from 2006 to 2009. A total of 1263 CM enrollees with high SUD treatment spending (>$10K) in the prior year and a matched comparison group were included in the analysis. Crisis care utilization for SUD (detoxification and hospitalizations), outpatient SUD treatment, and Medicaid spending were examined over 12 months among both groups. CM effects among predicted high-future-spending patients (HFS) were also analyzed. Results: CM increased outpatient SUD treatment visits by approximately 10.5 days (95% CI = 0.9, 20.0). CM crisis care and spending outcomes were not statistically different from comparison since both conditions had comparable pre-post declines. Conversely, CM significantly reduced SUD treatment spending by approximately $955 (95% CI = −1518, −391) and reduced days of detox utilization by about 1.0 days (95% CI = −1.9, −0.1) among HFS. Conclusion: Findings suggest that CM can reduce SUD treatment spending and utilization when targeted at patients with a greater likelihood of high future spending, indicating the potential value of predictive models to select CM patients. [ABSTRACT FROM AUTHOR]

Objective: Although the rapid increase in opioid use disorders (OUD) and concurrent increase in Hepatitis C virus (HCV) in the United States is well-documented, little is known about HCV testing among high-risk populations. We examine patterns of HCV testing across OUD treatment settings for individuals with OUD in New York. Methods: Using 2014 New York Medicaid claims data, we identified OUD diagnosis, OUD treatment (methadone, buprenorphine, naltrexone, other treatment (inpatient or outpatient non-medication-based psychosocial treatment, such as psychotherapy) and no treatment) utilization and HCV-testing status among beneficiaries. We performed multivariable logistic regression to identify factors associated with HCV screening across OUD treatment settings. Results: 79,764 individuals with OUD diagnoses were identified in 2014. The prevalence of HCV screening was 32.4%, 16.2%, 20.6%, 16.8%, and 18.1% for those receiving methadone, buprenorphine, naltrexone, other treatment, and no treatment, respectively. In the adjusted logistic regression, those receiving any OUD treatment had greater odds of being screened, with the highest odds among methadone clients. Conclusions: Engagement in medication for OUD is associated with increased HCV testing. Findings indicate the importance of access to medication-based treatment for OUD and a need to further improve HCV screening rates. [ABSTRACT FROM AUTHOR]