Applying American Society of Addiction Medicine Performance Measures in Commercial Health Insurance and Services Data

Research Priorities for Expansion of Opioid Use Disorder Treatment in the Community Pharmacy

In the last decade, the U.S. opioid overdose crisis has magnified, particularly since the introduction of synthetic opioids, including fentanyl. Despite the benefits of medications for opioid use disorder (MOUD), only about a fifth of people with opioid use disorder (OUD) in the U.S. receive MOUD. The ubiquity of pharmacists, along with their extensive education and training, represents great potential for expansion of MOUD services, particularly in community pharmacies. The National Institute on Drug Abuse's National Drug Abuse Treatment Clinical Trials Network (NIDA CTN) convened a working group to develop a research agenda to expand OUD treatment in the community pharmacy sector to support improved access to MOUD and patient outcomes. Identified settings for research include independent and chain pharmacies and co-located pharmacies within primary care settings. Specific topics for research included adaptation of pharmacy infrastructure for clinical service provision, strategies for interprofessional collaboration including health service models, drug policy and regulation, pharmacist education about OUD and OUD treatment, including didactic, experiential, and interprofessional curricula, and educational interventions to reduce stigma towards this patient population. Together, expanding these research areas can bring effective MOUD to where it is most needed.

Measurement Approaches to Estimating Methadone Continuity in Opioid Use Disorder Care

BACKGROUND

Long-term treatment with medications for opioid use disorder (OUD), including methadone, is lifesaving. There has been little examination of how to measure methadone continuity in claims data.

OBJECTIVES

To develop an approach for measuring methadone continuity in claims data, and compare estimates of methadone versus buprenorphine continuity.

RESEARCH DESIGN

Observational cohort study using de-identified commercial claims from OptumLabs Data Warehouse (January 1, 2017-June 30, 2021).

SUBJECTS

Individuals diagnosed with OUD, ≥1 methadone or buprenorphine claim and ≥180 days continuous enrollment (N=29,633).

MEASURES

OUD medication continuity: months with any use, days of continuous use, and proportion of days covered.

RESULTS

5.4% (N=1607) of the study cohort had any methadone use. Ninety-seven percent of methadone claims (N=160,537) were from procedure codes specifically used in opioid treatment programs. Place of service and primary diagnosis codes indicated that several methadone procedure codes were not used in outpatient OUD care. Methadone billing patterns indicated that estimating days-supply based solely on dates of service and/or procedure codes would yield inaccurate continuity results and that an approach incorporating the time between service dates was more appropriate. Among those using methadone, mean [s.d.] months with any use, days of continuous use, and proportion of days covered were 4.8 [1.8] months, 79.7 [73.4] days, and 0.64 [0.36]. For buprenorphine, the corresponding continuity estimates were 4.6 [1.9], 80.7 [70.0], and 0.73 [0.35].

CONCLUSIONS

Estimating methadone continuity in claims data requires a different approach than that for medications largely delivered by prescription fills, highlighting the importance of consistency and transparency in measuring methadone continuity across studies.

Sex Differences in Comorbid Mental and Substance Use Disorders Among Primary Care Patients With Opioid Use Disorder

OBJECTIVE

The authors sought to characterize the 3-year prevalence of mental disorders and nonnicotine substance use disorders among male and female primary care patients with documented opioid use disorder across large U.S. health systems.

METHODS

This retrospective study used 2014-2016 data from patients ages ≥16 years in six health systems. Diagnoses were obtained from electronic health records or claims data; opioid use disorder treatment with buprenorphine or injectable extended-release naltrexone was determined through prescription and procedure data. Adjusted prevalence of comorbid conditions among patients with opioid use disorder (with or without treatment), stratified by sex, was estimated by fitting logistic regression models for each condition and applying marginal standardization.

RESULTS

Females (53.2%, N=7,431) and males (46.8%, N=6,548) had a similar prevalence of opioid use disorder. Comorbid mental disorders among those with opioid use disorder were more prevalent among females (86.4% vs. 74.3%, respectively), whereas comorbid other substance use disorders (excluding nicotine) were more common among males (51.9% vs. 60.9%, respectively). These differences held for those receiving medication treatment for opioid use disorder, with mental disorders being more common among treated females (83% vs. 71%) and other substance use disorders more common among treated males (68% vs. 63%). Among patients with a single mental health condition comorbid with opioid use disorder, females were less likely than males to receive medication treatment for opioid use disorder (15% vs. 20%, respectively).

CONCLUSIONS

The high rate of comorbid conditions among patients with opioid use disorder indicates a strong need to supply primary care providers with adequate resources for integrated opioid use disorder treatment.

Performance Metrics of Substance Use Disorder Care Among Medicaid Enrollees in New York, New York

Importance

There is limited evaluation of the performance of Medicaid managed care (MMC) private plans in covering substance use disorder (SUD) treatment.

Objective

To compare the performance of MMC plans across 19 indicators of access, quality, and outcomes of SUD treatment.

Design Setting and Participants

This cross-sectional study used administrative claims and mandatory assignment to plans of up to 159 016 adult Medicaid recipients residing in 1 of the 5 counties (boroughs) of New York, New York, from January 2009 to December 2017 to identify differences in SUD treatment access, patterns, and outcomes among different types of MMC plans. Data from the latest years were received from the New York State Department of Health in October 2019, and analysis began soon thereafter. Approximately 17% did not make an active choice of plan, and a subset of these (approximately 4%) can be regarded as randomly assigned.

Exposures

Plan assignment.

Main Outcomes and Measures

Percentage of the enrollees achieving performance measures across 19 indicators of access, process, and outcomes of SUD treatment.

Results

Medicaid claims data from 159 016 adults (mean [SD] age, 35.9 [12.7] years; 74 261 women [46.7%]; 8746 [5.5%] Asian, 73 783 [46.4%] Black, and 40 549 [25.5%] White individuals) who were auto assigned to an MMC plan were analyzed. Consistent with national patterns, all plans achieved less than 50% (range, 0%-62.1%) on most performance measures. Across all plans, there were low levels of treatment engagement for alcohol (range, 0%-0.4%) and tobacco treatment (range, 0.8%-7.2%), except for engagement for opioid disorder treatment (range, 41.5%-61.4%). For access measures, 4 of the 9 plans performed significantly higher than the mean on recognition of an SUD diagnosis, any service use for the first time, and tobacco use screening. Of the process measures, total monthly expenditures on SUD treatment was the only measure for which plans differed significantly from the mean. Outcome measures differed little across plans.

Conclusions and Relevance

The results of this cross-sectional study suggest the need for progress in engaging patients in SUD treatment and improvement in the low performance of SUD care and limited variation in MMC plans in New York, New York. Improvement in the overall performance of SUD treatment in Medicaid potentially depends on general program improvements, not moving recipients among plans.

The Significance of Toll-Like Receptors in the Neuroimmunologic Background of Alcohol Dependence

Toll-like receptors (TLR) are a group of protein belonging to the family of Pattern Recognition Receptors (PRR) which have the ability to distinguish between an organism's own antigens and foreign ones and to induce immunological response. TLR play a significant part in non-specific immunity but at the same time they are also a vital element linking non-specific response to the specific one. A growing number of data seems to indicate that the non-specific immunity mechanisms affect the development and sustenance of alcohol addiction. Alcohol damages the organism's cells not only directly but also through an increase inintestinal permeability which induces innate immune response of peripheral blood cells. The signaling pathway of Toll-like receptors located on the surface of brain immune cells intensifies the inflammatory reaction and, through modifying gene expression of proinflammatory factors, unnaturally supports it. This overly protracted "sterile inflammatory reaction" positively correlates with alcohol craving affecting also the functioning of the reward system structures and increasing the risk of relapse of alcoholism. Recurrent alcoholic binges sensitize the microglia and cause an escalation in inflammatory reaction which also leads to neurodegeneration. The induction of innate immunity signaling pathways exposes clinical symptoms of alcohol addiction such as increased impulsivity, loss of behavioral control, depressive-anxiety symptoms and cognitive dysfunctions. Traditional methods of treating alcohol addiction have tended to focus predominantly on reducing symptoms which-given the frequency of relapses-seems insufficient. The aim of the present paper is to discuss the role of toll-like receptors as elements of the immunity system which, together with the nervous system, plays a crucial part in the pathogenesis of alcohol addiction. We also wish to present pharmacotherapeutic perspectives targeted at the neuroimmunological mechanisms of alcohol addiction.

Health care utilization and costs associated with direct-acting antivirals for patients with substance use disorders and chronic hepatitis C

BACKGROUND: Patients with substance use disorders (SUD) and chronic hepatitis C virus infection (HCV) have limited access to direct-acting antivirals (DAAs) due to multilevel issues related to providers (eg, concern about reinfection); patients (eg, refusal); payers (eg, prior authorization); and health system structure, although clinical guidelines recommend timely DAA treatment for patients with SUD and HCV. Effects of DAAs on real-world health care utilization and costs among these patients is unknown. OBJECTIVE: To compare changes in medical service utilization and costs related to liver, SUD, and all-cause morbidity in patients with SUD and HCV treated with DAAs (DAA group) vs not treated with DAAs (non-DAA group). METHODS: We conducted a retrospective cohort study using MarketScan Commercial and Medicare Supplemental Claims databases (2012-2018) for newly diagnosed HCV treatment-naive adults with SUD. We used difference-in-differences analyses, stratified by cirrhosis status, to determine the adjusted ratio of rate ratio (RoRR) to assess the difference in the relative changes from the pre- to posttreatment periods between the 2 groups. RESULTS: 6,266 patients with SUD and HCV were identified. Of these patients who also had cirrhosis (n = 607), 49% (n = 298) initiated DAA therapy for HCV, whereas of those without cirrhosis (n = 5,659), 22% (n = 1,219) initiated DAAs. For patients with cirrhosis (n = 607), the liver-related costs decreased by $6,213 (95% CI = -$8,571, -$3,856) for the DAA group and $1,585 (95% CI = -$4,659, $1,490) for the non-DAA group. The relative decreases in the rate of liver-related costs were larger for the DAA group than for the non-DAA group, and the relative changes between groups were significantly different (RoRR = 0.37, 95% CI = 0.19-0.73). There was no difference in the relative changes after DAAs in the rate of SUD-related visits/costs or all-cause costs between the 2 groups. For patients without cirrhosis (n = 5,659), a similar association was observed. Besides, the relative decreases in the rate of SUD-related emergency department (ED) visits (RoRR = 0.54, 95% CI = 0.38-0.77); SUD-related long-term care visits (RoRR = 0.30, 95% CI = 0.13-0.73); all-cause ED visits (RoRR = 0.75, 95% CI = 0.64-0.88); and all-cause long term-care visits (RoRR = 0.36, 95% CI = 0.18-0.72) were larger in the DAA group than in the non-DAA group. CONCLUSIONS: DAAs are associated with a significant decrease in the rate of SUD-related ED visits and liver-related costs without increasing the rate of all-cause costs among patients with SUD and HCV, suggesting that the benefits of DAAs extended beyond liver-related outcomes, especially in this disadvantaged population. DISCLOSURES: Research reported in this publication was supported in part by the National Institute on Drug Abuse of the National Institutes of Health (K01DA045618). The funder did not have a role in the design, the execution, the analyses, the interpretation of the data, or the decision to submit the results of this study. The authors have no potential conflicts of interest.

WITHDRAWN: The effect of commercial health insurance and health policy incentives on health risk assessment of residents

Ahead of Print article withdrawn by publisher.

Validity of Incident Opioid Use Disorder (OUD) Diagnoses in Administrative Data: a Chart Verification Study

BACKGROUND

An important strategy to address the opioid overdose epidemic involves identifying people at elevated risk of overdose, particularly those with opioid use disorder (OUD). However, it is unclear to what degree OUD diagnoses in administrative data are inaccurate.

OBJECTIVE

To estimate the prevalence of inaccurate diagnoses of OUD among patients with incident OUD diagnoses.

SUBJECTS

A random sample of 90 patients with incident OUD diagnoses associated with an index in-person encounter between October 1, 2016, and June 1, 2018, in three Veterans Health Administration medical centers.

DESIGN

Direct chart review of all encounter notes, referrals, prescriptions, and laboratory values within a 120-day window before and after the index encounter. Using all available chart data, we determined whether the diagnosis of OUD was likely accurate, likely inaccurate, or of indeterminate accuracy. We then performed a bivariate analysis to assess demographic or clinical characteristics associated with likely inaccurate diagnoses.

KEY RESULTS

We identified 1337 veterans with incident OUD diagnoses. In the chart verification subsample, we assessed 26 (29%) OUD diagnoses as likely inaccurate; 20 due to systems error and 6 due to clinical error; additionally, 8 had insufficient information to determine accuracy. Veterans with likely inaccurate diagnoses were more likely to be younger and prescribed opioids for pain. Clinical settings associated with likely inaccurate diagnoses were non-mental health clinical settings, group visits, and non-patient care settings.

CONCLUSIONS

Our study identified significant levels of likely inaccurate OUD diagnoses among veterans with incident OUD diagnoses. The majority of these cases reflected readily addressable systems errors. The smaller proportion due to clinical errors and those with insufficient documentation may be addressed by increased training for clinicians. If these inaccuracies are prevalent throughout the VHA, they could complicate health services research and health systems responses.

Prevalence and Medication Treatment of Opioid Use Disorder Among Primary Care Patients with Hepatitis C and HIV

BACKGROUND

Hepatitis C and HIV are associated with opioid use disorders (OUD) and injection drug use. Medications for OUD can prevent the spread of HCV and HIV.

OBJECTIVE

To describe the prevalence of documented OUD, as well as receipt of office-based medication treatment, among primary care patients with HCV or HIV.

DESIGN

Retrospective observational cohort study using electronic health record and insurance data.

PARTICIPANTS

Adults ≥ 18 years with ≥ 2 visits to primary care during the study (2014-2016) at 6 healthcare systems across five states (CO, CA, OR, WA, and MN).

MAIN MEASURES

The primary outcome was the diagnosis of OUD; the secondary outcome was OUD treatment with buprenorphine or oral/injectable naltrexone. Prevalence of OUD and OUD treatment was calculated across four groups: HCV only; HIV only; HCV and HIV; and neither HCV nor HIV. In addition, adjusted odds ratios (AOR) of OUD treatment associated with HCV and HIV (separately) were estimated, adjusting for age, gender, race/ethnicity, and site.

KEY RESULTS

The sample included 1,368,604 persons, of whom 10,042 had HCV, 5821 HIV, and 422 both. The prevalence of diagnosed OUD varied across groups: 11.9% (95% CI: 11.3%, 12.5%) for those with HCV; 1.6% (1.3%, 2.0%) for those with HIV; 8.8% (6.2%, 11.9%) for those with both; and 0.92% (0.91%, 0.94%) among those with neither. Among those with diagnosed OUD, the prevalence of OUD medication treatment was 20.9%, 16.0%, 10.8%, and 22.3%, for those with HCV, HIV, both, and neither, respectively. HCV was not associated with OUD treatment (AOR = 1.03; 0.88, 1.21), whereas patients with HIV had a lower probability of OUD treatment (AOR = 0.43; 0.26, 0.72).

CONCLUSIONS

Among patients receiving primary care, those diagnosed with HCV and HIV were more likely to have documented OUD than those without. Patients with HIV were less likely to have documented medication treatment for OUD.

Medication Utilization for Alcohol Use Disorder in a Commercially Insured Population

OBJECTIVE

Examine patterns of alcohol use disorder (AUD) medication use and identify factors associated with prescription fill among commercially insured individuals with an index AUD visit.

DESIGN

Using 2008-2018 claims data from a large national insurer, estimate days to first AUD medication using cause-specific hazards approach to account for competing risk of benefits loss.

PARTICIPANTS

Aged 17-64 with ≥ 1 AUD visit.

MAIN MEASURE

Days to AUD medication fill.

KEY RESULTS

A total of 13.3% of the 151,128 with an index visit filled an AUD prescription after that visit, while 69.8% lost benefits before filling and 17.0% remained enrolled but did not fill (median days observed = 305). Almost half (46.3%) of those who filled a prescription received substance use disorder (SUD) inpatient care within 7 days before the fill, and 63.4% received SUD outpatient care. Likelihood of medication use was higher for those aged 26-35, 36-45, and 46-55 years relative to 56-64 years (e.g., 26-35: hazard ratio = 1.29 [95% confidence interval 1.23-1.36]); those diagnosed with moderate/severe AUD (2.05 [1.98-2.12]), co-occurring opioid use disorder (OUD) (1.33 [1.26-1.39]), or severe mental illness (1.31 [1.27-1.35]); those with a chronic alcohol-related diagnosis (1.08 [1.04-1.12]); and those whose index visit was in an inpatient/emergency department (1.27 [1.23-1.31]) or intermediate care setting (1.13 [1.07-1.20]) relative to outpatient. Likelihood of use was higher in later years relative to 2008 (e.g., 2018:2.02 [1.89-2.15]) and higher for those who received the majority of AUD care in a practice with a psychiatrist/addiction medicine specialist (1.13 [1.10-1.16]). Likelihood of use was lower for those diagnosed with a SUD other than AUD or OUD (0.88 [0.85-0.92]), those with an acute alcohol-related condition (0.79 [0.75-0.84]), and males (0.71 [0.69-0.73]).

CONCLUSIONS

While AUD medication use increased and was more common among individuals with greater severity, few patients who could benefit from medications are using them. More efforts are needed to identify and treat individuals in non-acute care settings earlier in their course of AUD.

Outpatient care for opioid use disorder among the commercially insured: Use of medication and psychosocial treatment

BACKGROUND

Evidence-based outpatient treatment for opioid use disorder (OUD) consists of medications that treat OUD (MOUD) and psychosocial treatments (e.g., psychotherapy or counseling, case management). Prior studies have not examined the use of these components of care in a commercially insured population.

METHODS

We analyzed claims data from a large national commercial insurer of enrollees age 17-64 identified with OUD (2008-2016, N = 87,877 persons and 122,708 person-years). Multinomial logistic regression models identified factors associated with receiving in a given year: 1) both MOUD and psychosocial visits, 2) MOUD without psychosocial visits, 3) psychosocial visits without MOUD, or 4) neither. We estimated predicted probabilities for key variables of interest.

RESULTS

Identification of OUD nearly tripled during the observation period (0.17% in 2008, 0.45% in 2016). Among person-years identified as having OUD, 36.3% included MOUD (8.1% both MOUD and psychosocial visits and 28.2% MOUD without psychosocial visits). In adjusted analyses, women had a lower probability of receiving either treatment alone or in combination (e.g.,MOUD plus psychosocial visits: women = 6.7% [6.5%-6.9%] vs. men = 9.2% [9.0%-9.4%]). Moderate/severe vs. mild OUD was associated with a higher probability of receiving MOUD (e.g., MOUD plus psychosocial visits: 8.7% [8.6%-8.9%] vs. 0.9% [0.7%-1.0%]). In contrast, an OUD overdose was associated with a greater probability of receiving neither treatment (78.2% [77.4%-79.0%] vs. 55.5% [55.2%-55.8%]). Over time, the probability of receiving each MOUD and psychosocial treatment category increased relative to 2008, but reached a peak and then plateaued or declined, by the end of the study period.

CONCLUSIONS

A significant treatment gap exists among individuals identified with OUD in this commercially insured population, with greater risks of receiving no treatment for women and for individuals with mild versus moderate or severe OUD. Overdose is associated with receiving neither MOUD nor psychosocial treatment. While treated prevalence initially increased relative to 2008, rates of treatment subsequently plateaued. Additional study and monitoring to elucidate barriers to OUD treatment in commercially insured populations are warranted.

Documented opioid use disorder and its treatment in primary care patients across six U.S. health systems

BACKGROUND

The United States is in the middle of an opioid overdose epidemic, and experts are calling for improved detection of opioid use disorders (OUDs) and treatment with buprenorphine or extended release (XR) injectable naltrexone, which can be prescribed in general medical settings. To better understand the magnitude of opportunities for treatment among primary care (PC) patients, we estimated the prevalence of documented OUD and medication treatment of OUD among PC patients.

METHODS

This cross-sectional study included patients with ≥2 visits to PC clinics across 6 healthcare delivery systems who were ≥16 years of age during the study period (fiscal years 2014-2016). Diagnoses, prescriptions, and healthcare utilization were ascertained from electronic health records and insurance claims (5 systems that also offer health insurance). Documented OUDs were defined as ≥1 International Classification of Diseases code for OUDs (active or remission), and OUD treatment was defined as ≥1 prescription(s) for buprenorphine formulations indicated for OUD or naltrexone XR, during the 3-year study period. The prevalence of documented OUD and treatment (95% confidence intervals) across health systems were estimated, and characteristics of patients by treatment status were compared. Prevalence of OUD and OUD treatment were adjusted for age, gender, and race/ethnicity. Combined results were also adjusted for site.

RESULT

Among 1,403,327 eligible PC patients, 54-62% were female and mean age ranged from 46 to 51 years across health systems. The 3-year prevalence of documented OUD ranged from 0.7-1.4% across the health systems. Among patients with documented OUD, the prevalence of medication treatment (primarily buprenorphine) varied across health systems: 3%, 12%, 16%, 20%, 22%, and 36%.

CONCLUSION

The prevalence of documented OUD and OUD treatment among PC patients varied widely across health systems. The majority of PC patients with OUD did not have evidence of treatment with buprenorphine or naltrexone XR, highlighting opportunities for improved identification and treatment in medical settings. These results can inform initiatives aimed at improving treatment of OUD in PC. Future research should focus on why there is such variation and how much of the variation can be addressed by improving access to medication treatment.

Rural Clients' Continuity Into Follow-Up Substance Use Disorder Treatment: Impacts of Travel Time, Incentives, and Alerts

PURPOSE

Treatment after discharge from detoxification or residential treatment is associated with improved outcomes. We examined the influence of travel time on continuity into follow-up treatment and whether financial incentives and weekly alerts have a modifying effect.

METHODS

For a research intervention during October 2013 to December 2015, detoxification and residential substance use disorder treatment programs in Washington State were randomized into 4 groups: potential financial incentives for meeting performance goals, weekly alerts to providers, both interventions, and control. Travel time was used as both a main effect and interacted with other variables to explore its modifying impact on continuity of care in conjunction with incentives or alerts. Continuity was defined as follow-up care occurring within 14 days of discharge from detoxification or residential treatment programs. Travel time was estimated as driving time from clients' home ZIP Code to treatment agency ZIP Code.

FINDINGS

Travel times to the original treatment agency were in some cases significant with longer travel times predicting lower likelihood of continuity. For detoxification clients, those with longer travel times (over 91 minutes from their residence) are more likely to have timely continuity. Conversely, residential clients with travel times of more than 1 hour are less likely to have timely continuity. Interventions such as alerts or incentives for performance had some mitigating effects on these results. Travel times to the closest agency for potential further treatment were not significant.

CONCLUSIONS

Among rural clients discharged from detoxification and residential treatment, travel time can be an important factor in predicting timely continuity.

Differences in Availability and Use of Medications for Opioid Use Disorder in Residential Treatment Settings in the United States

Importance

While many individuals with opioid use disorder seek treatment at residential facilities to initiate long-term recovery, the availability and use of medications for opioid use disorder (MOUDs) in these facilities is unclear.

Objective

To examine differences in MOUD availability and use in residential facilities as a function of Medicaid policy, facility-level factors associated with MOUD availability, and admissions-level factors associated with MOUD use.

Design, Setting, and Participants

This cross-sectional study used deidentified facility-level and admissions-level data from 2863 residential treatment facilities and 232 414 admissions in the United States in 2017. Facility-level data were extracted from the 2017 National Survey of Substance Abuse Treatment Services, and admissions-level data were extracted from the 2017 Treatment Episode Data Set-Admissions. Statistical analyses were conducted from June to November 2019.

Exposures

Admissions for opioid use disorder at residential treatment facilities in the United States that identified opioids as the patient's primary drug of choice.

Main Outcomes and Measures

Availability and use of 3 MOUDs (ie, extended-release naltrexone, buprenorphine, and methadone).

Results

Of 232 414 admissions, 205 612 (88.5%) contained complete demographic data (166 213 [80.8%] aged 25-54 years; 136 854 [66.6%] men; 151 867 [73.9%] white). Among all admissions, MOUDs were used in only 34 058 of 192 336 (17.7%) in states that expanded Medicaid and 775 of 40 078 (1.9%) in states that did not expand Medicaid (P < .001). A relatively low percentage of the 2863 residential treatment facilities in this study offered extended-release naltrexone (854 [29.8%]), buprenorphine (953 [33.3%]), or methadone (60 [2.1%]). Compared with residential facilities that offered at least 1 MOUD, those that offered no MOUDs had lower odds of also offering psychiatric medications (odds ratio [OR], 0.06; 95% CI, 0.05-0.08; Wald χ21 = 542.09; P < .001), being licensed by a state or hospital authority (OR, 0.39; 95% CI, 0.27-0.57; Wald χ21 = 24.28; P < .001), or being accredited by a health organization (OR, 0.28; 95% CI, 0.23-0.33; Wald χ21 = 180.91; P < .001). Residential facilities that did not offer any MOUDs had higher odds of accepting cash-only payments than those that offered at least 1 MOUD (OR, 4.80; 95% CI, 3.47-6.64; Wald χ21 = 89.65; P < .001).

Conclusions and Relevance

In this cross-sectional study of residential addiction treatment facilities in the United States, MOUD availability and use were sparse. Public health and policy efforts to improve access to and use of MOUDs in residential treatment facilities could improve treatment outcomes for individuals with opioid use disorder who are initiating recovery.

Prevalence and treatment of opioid use disorders among primary care patients in six health systems

BACKGROUND

The U.S. experienced nearly 48,000 opioid overdose deaths in 2017. Treatment of opioid use disorder (OUD) with buprenorphine is a recommended part of primary care, yet little is known about current U.S. practices in this setting. This observational study reports the prevalence of documented OUD and OUD treatment with buprenorphine among primary care patients in six large health systems.

METHODS

Adults with ≥2 primary care visits during a three-year period (10/1/2013-9/30/2016) in six health systems were included. Data were obtained from electronic health record and claims data, with measures, assessed over the three-year period, including indicators for documented OUD from ICD 9 and 10 codes and OUD treatment with buprenorphine. The prevalence of OUD treatment was adjusted for age, gender, race/ethnicity, and health system.

RESULTS

Among 1,368,604 primary care patients, 13,942 (1.0 %) had documented OUD, and among these, 21.0 % had OUD treatment with buprenorphine. For those with documented OUD, the adjusted prevalence of OUD treatment with buprenorphine varied across demographic and clinical subgroups. OUD treatment was lower among patients who were older, women, Black/African American and Hispanic (compared to white), non-commercially insured, and those with non-cancer pain, mental health disorders, greater comorbidity, and more opioid prescriptions, emergency department visits or hospitalizations.

CONCLUSIONS

Among primary care patients in six health systems, one in five with an OUD were treated with buprenorphine, with disparities across demographic and clinical characteristics. Less buprenorphine treatment among those with greater acute care utilization highlights an opportunity for systems-level changes to increase OUD treatment.

Receipt of pharmacotherapy for alcohol use disorder by justice-involved women in the Veterans Health Administration

Background

Alcohol use disorder (AUD) and unhealthy drinking are prevalent among women involved in the criminal justice system and women military veterans. Pharmacotherapy—including naltrexone, topiramate, acamprosate, and disulfiram—for AUD is one form of effective treatment that is associated with better health and criminal justice outcomes. The current study examined the association of justice involvement with receipt of pharmacotherapy for AUD, as well as other patient factors that may explain variation in receipt of pharmacotherapy for AUD among women veterans who receive care at Veterans Health Administration (VHA) facilities.

Methods

Using national VHA clinical records, we examined all women VHA patients who received an AUD diagnosis during an outpatient or inpatient visit in fiscal years (FY) 2014–2017. We compared patient characteristics by justice status, defined as contact with one of the VHA’s justice outreach programs, and used a mixed-effects logistic regression model to test whether justice involvement was independently associated with odds of receiving pharmacotherapy for AUD.

Results

Of 10,511 women veterans diagnosed with AUD in FY2017, 852 (8%) met our definition of justice-involved. Since FY2014, the percentage of women veterans who received pharmacotherapy for AUD increased (14–21%). Women justice-involved veterans and those who were homeless had higher odds of receiving pharmacotherapy for AUD (OR 1.29, CI 1.15–1.45; OR 1.35, CI 1.25–1.47). Women veterans age 55 or older or who were African-American had lower odds of receiving pharmacotherapy (OR 0.74, CI 0.67–0.82; OR 0.73, CI 0.68–0.79).

Conclusions

While women involved in the criminal justice system face many barriers to accessing health and social services, women justice-involved veterans had higher odds of receiving pharmacotherapy for AUD at VHA facilities compared to women veterans with no justice involvement. Legal mandates and supportive programming directed towards veterans in the criminal justice system may explain the higher rate of receipt of pharmacotherapy observed among justice-involved women veterans. Women veterans who are homeless may also have more opportunities to access and use pharmacotherapy for AUD compared to their housed counterparts.

Developing an opioid use disorder treatment cascade: A review of quality measures

BACKGROUND

Despite increasing opioid overdose mortality, problems persist in the availability and quality of treatment for opioid use disorder (OUD). Three FDA-approved medications (methadone, buprenorphine, and naltrexone) have high quality evidence supporting their use, but most individuals with OUD do not receive them and many experience relapse following care episodes. Developing and organizing quality measures under a unified framework such as a Cascade of Care could improve system level practice and treatment outcomes. In this context, a review was performed of existing quality measures relevant to the treatment of OUD and the literature assessing the utility of these measures in community practice.

METHODS

Systematic searches of two national quality measure clearinghouses (National Quality Forum and Agency for Healthcare Research and Quality) were performed for measures that can be applied to the treatment of OUD. Measures were categorized as structural, process, or outcome measures. Second stage searches were then performed within Ovid/Medline focused on published studies investigating the feasibility, reliability, and validity of identified measures, predictors of their satisfaction, and related clinical outcomes.

RESULTS

Seven quality measures were identified that are applicable to the treatment of OUD. All seven were process measures that assess patterns of service delivery. One recently approved measure addresses retention in medication-assisted treatment for patients with OUD. Twenty-nine published studies were identified that evaluate the quality measures, primarily focused on initiation and engagement in care for addiction treatment generally. Most measures and related studies do not specifically incorporate the evidence base for the treatment of OUD or assess patient level outcomes such as overdose.

CONCLUSION

Despite considerable progress, gaps exist in quality measures for OUD treatment. Development of a unified quality measurement framework such as an OUD Treatment Cascade will require further elaboration and refinement of existing measures across populations and settings. Such a framework could form the basis for applying strategies at clinical, organizational, and policy levels to expand access to quality care and reduce opioid-related mortality.