Performance Measurement for Opioid Use Disorder Medication Treatment and Care Retention

State sequence analysis of daily methadone dispensing trajectories among individuals at United States opioid treatment programs before and following COVID-19 onset

BACKGROUND AND AIMS

US regulatory changes allowed for additional methadone take-home doses following COVID-19 onset. How dispensing practices changed and which factors drove variation remains unexplored. We determined daily methadone dispensing trajectories over six months before and after regulatory changes due to COVID-19 using state sequence analysis and explored correlates.

DESIGN

Retrospective chart review of electronic health records.

SETTINGS

Nine opioid treatment programs (OTPs) across nine US states.

PARTICIPANTS

Adults initiating treatment in 2019 (n = 328) vs. initiating 1 month after the COVID-19 regulatory changes of March 2020 (n = 376).

MEASUREMENTS

Type of daily methadone medication encounter (in-clinic, weekend/holiday take-home, take-home, missed dose, discontinued) based on OTP clinic; cohort (pre vs. post-COVID-19); and patient substance use, clinical and sociodemographic characteristics.

FINDINGS

Following COVID-19 regulatory changes, allotted methadone take-home doses increased from 3.5% to 13.8% of total person-days in treatment within the first 6 months in care. Clinic site accounted for the greatest variation in methadone dispensing (6.2% and 9.5% of the variation of discrepancy between sequences pre- and post-COVID-19, respectively). People who co-use methamphetamine had a greater increase in take-homes than people who did not use methamphetamine (from 3.7% pre-pandemic to 21.2% post-pandemic vs. 3.5% to 12.5%) and higher discontinuation (average 3.6 vs. 4.7 months among people who did not use methamphetamine pre-COVID-19; average 3.3 vs. 4.6 months post-COVID-19). In the post-COVID-19 cohort, females had a higher proportion of missed doses (17.2% vs. 11.9%) than males. People experiencing houselessness had a higher proportion of missed doses (19% vs. 12.3%) and shorter stays (average 3.5 vs. 4.5 months) when compared with those with stable housing.

CONCLUSION

Daily methadone dispensing trajectories in the US both before and following COVID-19 regulatory changes appeared to depend more on the opioid treatment programs' practices than individual patient characteristics or response to treatment.

Opioid use disorder Cascade of care: defining a taxonomy for measurement

Background: The opioid use disorder Cascade of care (OUD Cascade) is a public health framework used by federal/state/other agencies and researchers to facilitate monitoring and evaluating responses to the opioid epidemic, including surveillance and performance evaluation. As the use of the framework proliferates, there is an urgent need to standardize stage definitions to accurately monitor and improve patient outcomes and to align interpretation of findings across settings.Objectives: Define a taxonomy to uniformly apply the OUD Cascade to improve delivery of OUD services and better compare patient outcomes across settings and populations.Methods: We conducted a narrative review and synthesis focused on research and guidelines defining and measuring four key OUD Cascade stages: OUD identification, service engagement, medication initiation, and retention. Included articles come from peer-reviewed literature and define and/or operationalize OUD Cascade stages and associated measures across six characteristics based on an adaptation of the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist including: 1) settings, 2) specific population, 3) perspective, 4) time horizon, 5) assumptions, and 6) analytic method.Results: Our review (n = 27 articles) and synthesis provide an overview of how OUD Cascade definitions and framework designs have been variously applied. We found considerable heterogeneity in study approaches for all four OUD Cascade stages. We define a taxonomy to guide future research emphasizing standardized definitions to harmonize efforts across settings. In particular, we emphasize the need for clarity in defining criteria for sample construction (i.e. Identification), clear distinctions between receipt of care services generally (i.e. Engagement) from MOUD Initiation specifically, and Retention definitions that use a 30+ day gap in treatment to define discontinuation.Conclusion: Establishing a shared taxonomy for key terms specifying OUD Cascade stages will help the field advance, compare approaches and results across settings, and improve population-level patient outcomes.

Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?

In this viewpoint, we explore the use of big data analytics and artificial intelligence (AI) and discuss important challenges to their ethical, effective, and equitable use within opioid use disorder (OUD) treatment settings. Applying our collective experiences as OUD policy and treatment experts, we discuss 8 key challenges that OUD treatment services must contend with to make the most of these rapidly evolving technologies: data and algorithmic transparency, clinical validation, new practitioner-technology interfaces, capturing data relevant to improving patient care, understanding and responding to algorithmic outputs, obtaining informed patient consent, navigating mistrust, and addressing digital exclusion and bias. Through this paper, we hope to critically engage clinicians and policy makers on important ethical considerations, clinical implications, and implementation challenges involved in big data analytics and AI deployment in OUD treatment settings.

Development and validation of a pragmatic measure of context at the organizational level: The Inventory of Factors Affecting Successful Implementation and Sustainment (IFASIS)

BACKGROUND

Successful implementation and sustainment of interventions is heavily influenced by context. Yet the complexity and dynamic nature of context make it challenging to connect and translate findings across implementation efforts. Existing methods to assess context are typically qualitative, limiting potential replicability and utility. Existing quantitative measures and the siloed nature of implementation efforts limit possibilities for data poolinXg and harmonization. The Inventory of Factors Affecting Successful Implementation and Sustainment (IFASIS) was developed to be a pragmatic, quantitative, organizational-level assessment of contextual factors. The intention is to characterize context with a measure that may enhance replication and reproducibility of findings beyond single implementation case studies. Here, we present the development and validation of the IFASIS.

METHODS

A literature review was conducted to identify major concepts of established theories and frameworks to be retained. IFASIS data were examined in relation to implementation outcomes gathered from two studies. Psychometric validation efforts included content and face validity, reliability, internal consistency, and predictive and concurrent validity. Predictive validity was evaluated using generalized estimating equations (GEE) for longitudinal data on three implementation outcomes: reach, effectiveness, and implementation quality. Pragmatic properties were also evaluated.

RESULTS

The IFASIS is a 27-item, team-based, instrument that quantitatively operationalizes context. Two rating scales capture current state and importance of each item to an organization. It demonstrated strong reliability, internal consistency, and predictive and concurrent validity. There were significant associations between higher IFASIS scores and improved implementation outcomes. A one-unit increase in total IFASIS score corresponded to a 160% increase in the number of patients receiving a medication (reach). IFASIS domains of factors outside the organization, factors within the organization, and factors about the intervention, and subscales of organizational readiness, community support, and recipient needs and values, were predictive of successful implementation outcomes. IFASIS scores were also significantly associated with measures of implementation quality.

CONCLUSIONS

The IFASIS is a psychometrically and pragmatically valid instrument to assess contextual factors in implementation endeavors. Its ability to predict key implementation outcomes and facilitate data pooling across projects suggests it can play an important role in advancing the field.

"SafetyNet": Evaluation of a Recovery Coach and Paramedic Intervention Following Naloxone Resuscitation From an Opioid Overdose

OBJECTIVE

Emergency department (ED)-initiated buprenorphine has proven efficacy, but many patients are reluctant to begin this treatment. This study evaluated SafetyNet, a program using a 2-person, recovery coach and paramedic (RCP) intervention postoverdose to reduce subsequent opioid overdose, engage patients in medications for opioid use disorder (MOUD), and reduce illicit drug use.

METHODS

We conducted a prospective nonrandomized study in individuals who experienced opioid overdoses, received naloxone, but subsequently declined buprenorphine initiation in the ED. Each participant was followed by an RCP team that performed a brief negotiation interview (BNI) to motivate engagement in treatment, peer-recovery coaching to encourage recovery-related activities, and health education around medical concerns by trained paramedics. Participants were followed-up at 30 and 180 days. The primary hypothesized outcome was reduction in overdose events; the secondary hypothesized outcomes were engagement in MOUD and reduction in opioid positive urine tests.

RESULTS

Eighty-one patients were enrolled and received BNIs; 45 (56%; 95% CI: 44-67) had at least 1 follow-up encounter. Twenty participants (25%; 95% CI: 16-36) had at least 1 overdose during follow-up. Fifty-five participants (68%; 95% CI: 57-78) were confirmed to have engaged in some form of medication treatment. Differences in subsequent overdose events (P = .95), engagement in MOUD (P = .49), and rates of opioid-positive urine toxicology rates within 30 days (P = .44) and between 31 and 180 days (P = .46) were not significantly different when comparing those who did and did not follow-up.

CONCLUSION

There were no differences in rates of subsequent overdose, MOUD engagement, or positive urine toxicology screens in our intervention. However, 68% of participants engaged in outpatient MOUD, a treatment associated with fewer overdose events, particularly fatal ones. Substantial limitations occurred due to the COVID pandemic, and sample size estimates were not met. Further research is needed to investigate potential benefits of the SafetyNet program.

Advancing Health Equity Through Substance Use Medical Record Data Sharing: Insights from Healthcare Providers

BACKGROUND

Better care is delivered when patients and providers share health information. Unfortunately, critical health data are often unavailable due to fragmentation within healthcare systems. Sensitive health information, like substance use disorder, is often sequestered in ways that do not meet patient data privacy choices and provider data access needs. This study explored healthcare providers' perspectives on barriers and facilitators to substance use data sharing and its impact on care.

METHODS

Focus groups were conducted with 31 healthcare providers from four treatment facilities. Discussions focused on privacy concerns, data-sharing workflows, and scenarios involving four Healthcare Effectiveness Data and Information Set (HEDIS) substance use disorder specific metrics. Open coding identified key concepts, and thematic analysis was employed to identify barriers and facilitators influencing data sharing and care outcomes.

RESULTS

Providers identified five main barriers: patient reluctance to share (48%), data access challenges (42%), poor provider coordination (29%), incomplete health information (26%), and complexity of privacy regulations (23%). Key facilitators included patient understanding (26%), patient-provider relationship (16%), and reliability of health information systems (16%).

DISCUSSION

This study sets the stage for understanding and addressing sensitive healthcare data access and privacy concerns through improved care coordination, systems interoperability, education, and policy reform.

Exemplar Hospital Initiation Trial to Enhance Treatment Engagement (EXHIT ENTRE): protocol for CTN-0098 an open-label randomized comparative effectiveness trial of extended-release buprenorphine versus treatment as usual on post-hospital treatment engagement for hospitalized patients with opioid use disorder

BACKGROUND

Hospitalizations involving opioid use disorder (OUD) are increasing. Addiction consultation services (ACS) initiate medications for opioid use disorder (MOUD) in hospital settings and arrange post-hospital follow-up for ongoing MOUD care. Engagement in MOUD following hospital discharge is hampered by challenges in timely access to MOUD. This protocol describes an open-label randomized comparative effectiveness trial comparing ACS treatment as usual (TAU) to a single injection of a 28-day formulation extended-release buprenorphine (XR-BUP) on MOUD engagement 34-days following hospital discharge.

METHODS

Six U.S. hospitals with ACS capable of prescribing all MOUD (i.e., methadone, buprenorphine, and extended-release naltrexone) recruit and randomize hospitalized patients with OUD who have not been on MOUD in the fourteen days prior to hospitalization. TAU may consist of any MOUD other than XR-BUP. Participants randomized to XR-BUP may receive any MOUD throughout their hospital stay and receive a 28-day XR-BUP injection within 72-hours of anticipated hospital discharge. There is no intervention beyond hospital stay. Participants are followed 34-, 90-, and 180-days following hospital discharge. The primary outcome is engagement in any MOUD 34-days following hospital discharge, which we hypothesize will be greater in the XR-BUP group. Randomizing 342 participants (171 per arm) provides 90% power to detect difference in the primary outcome between groups with an odds ratio of 2.1. Safety, secondary, and exploratory outcomes include: adverse events, MOUD engagement on days 90 and 180, opioid positive urine drug tests, self-reported drug use, hospital readmissions and emergency department visits, use of non-opioid drugs, fatal and non-fatal opioid overdose, all-cause mortality, quality of life, and cost-effectiveness. Data are analyzed by intention-to-treat, with pre-planned per-protocol and other secondary analyses that examine gender as an effect modifier, differences between groups, and impact of missingness.

DISCUSSION

Engagement in MOUD care following hospitalization in individuals with OUD is low. This randomized comparative effectiveness trial can inform hospital ACS in medication selection to improve MOUD engagement 34-days following hospital discharge.

TRIAL REGISTRATION

NCT04345718.

Buprenorphine discontinuation in telehealth-only treatment for opioid use disorder: A longitudinal cohort analysis

INTRODUCTION

At the beginning of the COVID-19 pandemic, federal agencies permitted telehealth initiation of buprenorphine treatment for opioid use disorder (OUD) without in-person assessment. It remains unclear how telehealth-only buprenorphine treatment impacts time to discontinuation and patient reported treatment outcomes.

METHODS

A longitudinal observational cohort study conducted September 2021 through March, 2023 enrolled participants with OUD initiating buprenorphine (≤ 45 days) with internet and phone access in Oregon and Washington. The intervention was a fully telehealth-only (THO) app versus treatment as usual (TAU) in office-based settings with some telehealth. We assessed self-reported buprenorphine discontinuation at 4-,12-, and 24-weeks. Generalized estimating equations (GEE) calculated unadjusted and adjusted relative risk ratios (RR) for discontinuation averaged over the study period. Secondary outcomes included change in the Brief Addiction Monitor (BAM) and the visual analogue craving scale. Generalized linear models estimated average within-group and between-group differences over time.

RESULTS

Participants (n = 103 THO; n = 56 TAU) had a mean age of 37 years (SD = 9.8 years) and included 52 % women, 83 % with Medicaid insurance, 80 % identified as White, 65 % unemployed/student, and 19 % unhoused. There were differences in gender (THO = 54 % women vs. TAU = 44 %, p = .04), unemployed status (60 % vs 75 %, p = .02), and stable housing (84 % vs 73 %, p = .02). Rates of buprenorphine discontinuation were low in the THO (4 %) and TAU (13 %) groups across 24 weeks. In the adjusted analysis, the risk of discontinuation was 61 % lower in the THO group (aRR = 0.39, 95 % CI [0.17, 0.89], p = .026). Decreases occurred over time on the harms subscale of the BAM (within-group difference - 0.85, p = .0004 [THO], and - 0.68, p = .04 [TAU]) and cravings (within-group difference - 13.47, p = .0001 [THO] vs -7.65, p = .01 [TAU]).

CONCLUSIONS

A telehealth-only platform reduced the risk of buprenorphine discontinuation compared to office-based TAU. In-person evaluation to receive buprenorphine may not be necessary for treatment-seeking patients.

CLINICAL TRIALS IDENTIFIER

NCT03224858.

Outpatient-Based Opioid Treatment Engagement and Attendance: A Prospective Cohort Study of Homeless-Experienced Adults

BACKGROUND

The opioid overdose epidemic disproportionately impacts people experiencing homelessness. Outpatient-based opioid treatment (OBOT) programs have been established in homeless health care settings across the USA, but little is known about the success of these programs in engaging and retaining this highly marginalized patient population in addiction care.

OBJECTIVE

To evaluate predictors of initial engagement and subsequent attendance in a homeless-tailored OBOT program.

DESIGN

Prospective cohort study with 4 months of follow-up.

PARTICIPANTS

A total of 148 homeless-experienced adults (≥18 years) who newly enrolled in the Boston Healthcare for the Homeless Program (BHCHP) OBOT program over a 1-year period (1/6/2022-1/5/2023).

MAIN MEASURES

The primary outcomes were (1) initial OBOT program engagement, defined as having ≥2 additional OBOT visits within 1 month of OBOT enrollment, and (2) subsequent OBOT program attendance, measured monthly from months 2 to 4 of follow-up.

KEY RESULTS

The average age was 41.7 years (SD 10.2); 23.6% were female, 35.8% were Hispanic, 12.8% were non-Hispanic Black, and 43.9% were non-Hispanic White. Over one-half (57.4%) were initially engaged. OBOT program attendances during months 2, 3, and 4 were 60.8%, 50.0%, and 41.2%, respectively. One-quarter (24.3%) were initially engaged and then attended the OBOT program every month during the follow-up period. Participants in housing or residential treatment programs (vs. unhoused; adjusted odds ratios (aORs) = 2.52; 95% CI = 1.17-5.44) and those who were already on or initiated a medication for opioid use disorder (OUD) (aOR = 6.53; 95% CI = 1.62-26.25) at the time of OBOT enrollment had higher odds of engagement. Older age (aOR = 1.74 per 10-year increment; 95% CI = 1.28-2.38) and initial engagement (aOR = 3.50; 95% CI = 1.86-6.59) conferred higher odds of attendance.

CONCLUSIONS

In this study, over half initially engaged with the OBOT program, with initial engagement emerging as a strong predictor of subsequent OBOT program attendance. Interventions aimed at enhancing initial OBOT program engagement, including those focused on housing and buprenorphine initiation, may improve longer-term outcomes in this marginalized population.

Predicting buprenorphine adherence among patients with opioid use disorder in primary care settings

BACKGROUND

Medications for opioid use disorder (MOUD), including buprenorphine, are effective treatments for opioid use disorder (OUD) and reduce risk for overdose and death. Buprenorphine can be prescribed in outpatient primary care settings to treat OUD; however, prior research suggests adherence to buprenorphine in these settings can be low. The purpose of this study was to identify the rates of and factors associated with buprenorphine adherence among patients with OUD in the first six months after a new start of buprenorphine.

METHODS

Data were extracted from the electronic health record (EHR) from a large integrated health system in the upper Midwest. Patients with OUD (N = 345; Mean age = 37.6 years, SD 13.2; 61.7% male; 78% White) with a new start of buprenorphine between March 2019 and July 2021 were included in the analysis. Buprenorphine adherence in the first six months was defined using medication orders; the proportion of days covered (PDC) with a standard cut-point of 80% was used to classify patients as adherent or non-adherent. Demographic (e.g., age, sex, race and ethnicity, geographic location), service (e.g., encounters, buprenorphine formulations and dosage) and clinical (e.g., diagnoses, urine toxicology screens) characteristics were examined as factors that could be related to adherence. Analyses included logistic regression with adherence group as a binary outcome.

RESULTS

Less than half of patients were classified as adherent to buprenorphine (44%). Adjusting for other factors, male sex (OR = 0.34, 95% CI = 0.20, 0.57, p < .001) and having an unexpected positive for opioids on urine toxicology (OR = 0.42, 95% CI = 0.21, 0.83, p < .014) were associated with lower likelihood of adherence to buprenorphine, whereas being a former smoker (compared to a current smoker; OR = 1.82, 95% CI = 1.02, 3.27, p = .014) was associated with greater likelihood of being adherent to buprenorphine.

CONCLUSIONS

These results suggest that buprenorphine adherence in primary care settings may be low, yet male sex and smoking status are associated with adherence rates. Future research is needed to identify the mechanisms through which these factors are associated with adherence.

Opioid-induced hypogonadism in opioid use disorder, its role in negative reinforcement, and implications for treatment and retention

Hypogonadism is a highly prevalent complication of chronic opioid use associated with a constellation of affective, algesic, and cognitive symptoms as well as decreased quality of life. Given that the mainstays of pharmacologic opioid use disorder (OUD) treatment - methadone and buprenorphine - are themselves agonists or partial agonists at the mu opioid receptor, opioid-induced hypogonadism (OIH) remains an underappreciated clinical concern throughout the course of OUD treatment. Prominent theoretical frameworks for OUD emphasize the importance of negative reinforcement and hyperkatifeia, defined as the heightened salience of negative emotional and motivational states brought on by chronic opioid use. In this perspective article, we highlight the striking parallels between the symptom domains of hyperfakifeia and hypogonadism in males, who comprise the vast majority of existing clinical research on OIH. By extension we propose that future research and ultimately clinical care should focus on the identification and treatment of OIH in OUD patients to help address the longstanding paradox of poor treatment retention despite efficacious therapies, particularly in the setting of the current opioid overdose epidemic driven by high potency synthetic opioids such as fentanyl. We then review evidence from chronic pain patients that testosterone replacement provides clinically significant benefits to men with OIH. Finally, using this framework, we compare extant OUD therapeutics and discuss critical gaps in the clinical literature-including the relative dearth of data regarding hypothalamic-pituitary-gonadal function in females who use opioids-where future study should be focused.

Application of an opioid use disorder cascade of care in a large public health system

Background: Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time and can assist health systems in identifying areas of intervention to maximize the impact of evidence-based services. However, detailed protocols are needed to guide health systems in how to operationalize the OUD Cascade and track outcomes using electronic health records.Objective: In this paper, we describe the process of operationalizing and applying the OUD Cascade in a large, urban, public hospital system.Methods: Through this case example, we describe the technical processes around data mining, as well as the decision-making processes, challenges encountered, lessons learned from compiling preliminary patient data and defining stages and outcome measures for the OUD Cascade of Care, and preliminary dataResults: We identified 33,616 (26.17% female) individuals with an OUD diagnosis. Almost half (48%) engaged with addiction services, while only 10.7% initiated medication-based treatment in an outpatient setting, 6.7% had timely follow-up, and 3.5% were retained for a minimum of 6 months.Conclusion: The current paper serves as a primer for other health systems seeking to implement data-informed approaches to guide more efficient care and improved substance use-related outcomes. An OUD Cascade of Care must be tailored to local systems based on inherent data limitations and services design with an emphasis on early stages wherein drop-off is the greatest.

US payment policy for medications to treat opioid use disorder: landscape and opportunities

Offering patients medications for opioid use disorder (MOUD) is the standard of care for opioid use disorder (OUD), but an estimated 75%-90% of people with OUD who could benefit from MOUD do not receive medication. Payment policy, defined as public and private payers' approaches to covering and reimbursing providers for MOUD, is 1 contributor to this treatment gap. We conducted a policy analysis and qualitative interviews (n = 21) and surveys (n = 31) with US MOUD payment policy experts to characterize MOUD insurance coverage across major categories of US insurers and identify opportunities for reform and innovation. Traditional Medicare, Medicare Advantage, and Medicaid all provide coverage for at least 1 formulation of buprenorphine, naltrexone, and methadone for OUD. Private insurance coverage varies by carrier and by plan, with methadone most likely to be excluded. The experts interviewed cautioned against rigid reimbursement models that force patients into one-size-fits-all care and endorsed future development and adoption of value-based MOUD payment models. More than 70% of experts surveyed reported that Medicare, Medicaid, and private insurers should increase payment for office- and opioid treatment program-based MOUD. Validation of MOUD performance metrics is needed to support future value-based initiatives.

Emergency Department Access to Buprenorphine for Opioid Use Disorder

Importance

Although substantial evidence supports buprenorphine for treatment of opioid use disorder (OUD) in controlled trials, prospective study of patient outcomes in clinical implementation of emergency department (ED) buprenorphine treatment is lacking.

Objective

To examine the association between buprenorphine treatment in the ED and follow-up engagement in OUD treatment 1 month later.

Design, Setting, and Participants

This multisite cohort study was conducted in 7 California EDs participating in a statewide implementation project to improve access to buprenorphine treatment. The study population included ED patients aged at least 18 years identified with OUD between April 1, 2021, and June 30, 2022. Data analysis was performed in October 2023.

Exposure

All participants were offered buprenorphine treatment for OUD (either in ED administration, prescription, or both), the uptake of which was examined as the exposure of interest.

Main Outcomes and Measures

The primary outcome was engagement in OUD treatment 30 days after the ED visit, determined by patient report or clinical documentation. The association of ED buprenorphine treatment with subsequent OUD treatment engagement was estimated using hierarchical generalized linear models.

Results

This analysis included 464 ED patients with OUD. Their median age was 36.0 (IQR, 29.0-38.7) years, and most were men (343 [73.9%]). With regard to race and ethnicity, 64 patients (13.8%) self-identified as non-Hispanic Black, 183 (39.4%) as Hispanic, and 185 as non-Hispanic White (39.9%). Most patients (396 [85.3%]) had Medicaid insurance, and more than half (262 [57.8%]) had unstable housing. Self-reported fentanyl use (242 [52.2%]) and a comorbid mental health condition (328 [71.5%]) were common. Interest in buprenorphine treatment was high: 398 patients (85.8%) received buprenorphine treatment; 269 (58.0%) were administered buprenorphine in the ED and 339 (73.1%) were prescribed buprenorphine. With regard to OUD treatment engagement at 30 days after the ED visit, 198 participants (49.7%) who received ED buprenorphine treatment remained engaged compared with 15 participants (22.7%) who did not receive ED buprenorphine treatment. An association of ED buprenorphine treatment with subsequent OUD treatment engagement at 30 days was observed (adjusted risk ratio, 1.97 [95% CI, 1.27-3.07]).

Conclusions and Relevance

The findings of this cohort study suggest that among patients with OUD presenting to EDs implementing low-threshold access to medications for OUD, buprenorphine treatment was associated with a substantially higher likelihood of follow-up treatment engagement 1 month later. Future research should investigate techniques to optimize both the uptake and effectiveness of buprenorphine initiation in low-threshold settings such as the ED.

Early emergency department experience with 7-day extended-release injectable buprenorphine for opioid use disorder

As the opioid overdose epidemic escalates, there is an urgent need for treatment innovations to address both patient and clinician barriers when initiating buprenorphine in the emergency department (ED). These include insurance status, logistical challenges such as the ability to fill a prescription and transportation, concerns regarding diversion, and availability of urgent referral sites. Extended-release buprenorphine (XR-BUP) preparations such as a new 7-day injectable could potentially solve some of these issues. We describe the pharmacokinetics of a new 7-day XR-BUP formulation and the feasibility of its use in the ED setting. We report our early experiences with this medication (investigational drug CAM2038), in the context of an ongoing clinical trial entitled Emergency Department-Initiated BUP VAlidaTION (ED INNOVATION), to inform emergency clinicians as they consider incorporating this medication into their practice. The medication was approved by the European Medicines Agency in 2018 and the U.S. Food and Drug Administration in 2023 for those 18 years or older for the treatment of moderate to severe opioid use disorder (OUD). We report our experience with approximately 800 ED patients with OUD who received the 7-day XR-BUP preparation in the ED between June 2020 and July 2023.

Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System

Background

Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time, and can assist health systems in identifying areas of intervention to prevent overdose and maximize the impact of evidence-based services for patients with OUD. However, detailed protocols are needed to guide health systems in how to operationalize the OUD Cascade and track outcomes using their systems' electronic medical records (EMR).

Objective

In this paper, we describe the process of operationalizing and implementing the OUD Cascade in one large, urban, public hospital system.

Methods

Through this case example, we describe the technical processes around data mining, as well as the decision-making processes, challenges encountered, and lessons learned from compiling patient data and defining stages and outcome measures for the OUD Cascade of Care. The current established framework and process will set the stage for subsequent research studies that quantify and evaluate patient progression through each stage of OUD treatment across the health system and identify target areas for quality improvement initiatives to better engage patients in care and improve health outcomes.

Results

The current paper can therefore serve as a primer for other health systems seeking to implement a data-informed approach to guide more efficient care and improved substance use-related outcomes.

Conclusion

An OUD Cascade of Care must be tailored to local systems based on inherent data limitations and services design.

Telehealth for opioid use disorder: retention as a function of demographics and rurality

Background: Despite lifesaving medications such as buprenorphine and methadone, the majority of individuals with opioid use disorder (OUD) face access barriers to evidence-based treatment. COVID-19 era regulatory reforms have shown that telehealth can improve access to care, although disparities in clinical outcomes are likely to persist.Objective: We aimed to analyze 180-day and 365-day retention in treatment with buprenorphine for OUD overall and by demographics, hypothesizing that retention would be lower among racial/ethnic minorities and rural patients.Methods: We analyzed data from a cohort of individuals with OUD enrolled in treatment from April 1, 2020 to September 30, 2021, in Pennsylvania and New York using a virtual-first telehealth OUD treatment platform to assess rates of 180-day and 365-day retention. Associations between demographic characteristics and retention were assessed using unadjusted and adjusted logistic regression models.Results: Among 1,378 patients (58.8% male), 180-day retention was 56.4%, and 365-day retention was 48.3%. Adjusted analyses found that only an association between older age and greater odds of 180-day retention was significant (aOR for patients aged 30-50 vs. <30: 1.83 [1.37-2.45]). There were no significant associations between sex, race/ethnicity, state, or rurality with retention.Conclusion: While we were unable to control for socioeconomic variables, we found retention within telehealth services for buprenorphine was high irrespective of geography or race/ethnicity, but disparities with age indicate a subset of patients who may benefit from more intensive services early in care.