Faculty Bibliography

BACKGROUND/UNASSIGNED:Despite their efficacy, medications for opioid use disorder (MOUD) remain underutilized in patients with infections from intravenous opioid use (I-IOU). This study evaluates the impact of an Expanded MOUD Access Initiative (EMAI) on MOUD uptake and other clinical outcomes in patients hospitalized for I-IOU at an institution without addiction medicine consultation. METHODS/UNASSIGNED:We performed a retrospective pre-post study of hospital admissions for I-IOU before (January 2019-June 2021) and after (January 2022-December 2023) EMAI introduction. Data was collected via chart review. The EMAI eliminated restrictions on methadone use and established a new order set for buprenorphine inductions. The primary outcome was MOUD receipt; secondary outcomes included patient directed discharge (PDD) and 30-day re-hospitalization. RESULTS/UNASSIGNED:There were 129 hospitalizations prior to the intervention (control) and 98 after (EMAI). MOUD receipt was significantly higher in the EMAI group (75.5% vs 31.0%; OR, 6.86 [95% CI, 3.84-12.61]). In patients not receiving MOUD prior to admission (n = 176), new inductions occurred more frequently in the EMAI group (68.0% vs 11.9%; OR, 15.76 [95% CI, 7.50-35.78]). PDD was lower in the EMAI group (23.5% vs 48.8%; OR, 0.32 [95% CI, 0.10-0.57]), as was 30-day re-hospitalization (12.2% vs 22.5%; OR, 0.48 [95% CI, 0.22-0.98]). In a multivariable logistic regression model, the EMAI was the only variable to show a statistically significant association with MOUD receipt (aOR, 6.89 [95% CI, 3.75-13.11]). CONCLUSIONS/UNASSIGNED:The EMAI was associated with increased MOUD uptake, reduced PDD, and fewer 30-day re-hospitalizations despite the lack of addiction medicine consultation.

While approximately one in five Americans with substance use disorder (SUD) receives treatment in addiction treatment programs, a majority have seen a primary care medical provider in the past year. Recognizing the critical role of primary care in addressing prevention and treatment of unhealthy substance use, for over a decade the National Drug Abuse Treatment Clinical Trials Network (CTN) has supported research to build the tools and evidence needed to support the integration of SUD care, while remaining realistic about the barriers to doing so. Authored by primary care and addiction medicine physician researchers, this commentary provides an overview of CTN primary care-focused research, from developing and implementing substance use screening tools to advancing evidence-based SUD treatment delivery in primary care settings. We identify three priority areas for research and practice innovations: 1) identifying effective treatment interventions to address polysubstance use; 2) improved screening and treatment for cannabis use; and 3) building the evidence base for substance use interventions among non-treatment seeking patients who have unhealthy drug use identified through screening. Addressing these areas can help primary care fulfill its potential as a key component of the substance use services continuum of care.

IMPORTANCE/UNASSIGNED:With acute care utilization and mortality rates increasing among people with opioid use disorder, hospital addiction consult services can provide an important touchpoint for care, potentially leading to improved outcomes. OBJECTIVE/UNASSIGNED:To study the effectiveness of interprofessional hospital addiction consultation services on postdischarge acute care utilization and mortality. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:In this pragmatic stepped-wedge cluster randomized implementation and effectiveness (hybrid type 1) clinical trial, 6 New York City public hospitals were randomized to an intervention start date, and outcomes were compared during treatment as usual (TAU) and intervention conditions. Participants included adults with hospitalizations identified in Medicaid claims data between October 2017 and January 2021. Eligible patients had an admission or discharge diagnosis of opioid use disorder or opioid poisoning or adverse effects, were hospitalized at least 1 night in a medical or surgical inpatient unit, and were not receiving medication for opioid use disorder before hospitalization. INTERVENTION/UNASSIGNED:Hospitals implemented the Consult for Addiction Treatment and Care in Hospitals (CATCH) program, an interprofessional inpatient addiction consult service providing specialty care for substance use disorders, with teams consisting of a medical clinician, social worker or addiction counselor, and peer counselor. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Acute care utilization (hospitalizations and emergency department [ED] visits) and mortality rates (all-cause deaths, overdose deaths, and opioid-involved overdose deaths) 1 year after hospital discharge. Data for the eligible patients were analyzed July 2023 to September 2024. RESULTS/UNASSIGNED:In total, 1355 eligible admissions were identified (968 [71.4%] men; mean [SD] age, 46.6 [12.4] years). A majority of patients (835 [61.5%]) had at least 1 subsequent hospitalization or ED visit. There were 113 deaths, including 34 overdose deaths (30.1%), of which 28 (82.4%) involved opioids. ED admissions were lower in the intervention period compared with TAU (incidence rate ratio, 0.79 [95% CI, 0.72-0.88]; P < .001). There were no statistically significant differences between CATCH and TAU periods in numbers of hospitalizations (incidence rate ratio, 0.99 [95% CI, 0.87-1.13]) or mortality (eg, hazard ratio for all-cause death, 1.14 [95% CI, 0.98-1.92]). CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this prespecified secondary analysis of a cluster randomized clinical trial, postdischarge ED visits decreased with the CATCH program, highlighting the potential of hospital-based addiction consult services to address needs of patients with opioid use. Nonetheless, high rates of acute care utilization and mortality persisted, underscoring the need for comprehensive care strategies that extend beyond the hospital walls, and addressing the complex health and social needs of individuals with opioid use. TRIAL REGISTRATION/UNASSIGNED:ClinicalTrials.gov Identifier: NCT03611335.

BACKGROUND:A majority of the 8.9 million Americans with opioid misuse have mild or no symptoms of opioid use disorder (OUD), but they may be at elevated risk of developing more severe OUD, overdose, or other health consequences of opioid use. The "Subthreshold Opioid Use Disorder Prevention"(STOP) Trial is evaluating a collaborative care intervention for risky opioid use in primary care. Here, we describe baseline characteristics of participants to understand their needs and assess the generalizability of the sample. METHODS:Recruitment at five primary care sites spanned March 2021-May 2023. Adult patients who screened positive for subthreshold OUD (current illicit or non-medical opioid use without meeting DSM-5 criteria for moderate-severe OUD) were eligible. Baseline assessments measured self-reported demographic characteristics, other substance use, pain, and physical and mental health symptoms. Descriptive statistics summarize characteristics of the enrolled sample across sites. RESULTS:Among the 202 participants, the majority identified as female (63.4%), white (70.8%), and non-Hispanic (96.5%), with mean age 55.7 (SD: 12.7) years. Nearly half (49.0%) had problem or high-risk use of prescription opioids, and most received a prescription for opioid medication in the past six months (74.8%). Many participants reported current problem use or high-risk use of alcohol (47.0%) or cannabis (31.2%). Approximately one-third endorsed mental health symptoms, including moderate-severe anxiety (35.6%), depression (31.2%), or sleep disturbance (29.7%), and 20.3% reported a past suicide attempt. In the prior six months, 14.7% had experienced a nonfatal overdose. Moderate-severe pain was reported by 63.4%, and 60.4% rated their general health as fair or poor. CONCLUSIONS:Patients with subthreshold OUD had high rates of polysubstance use and comorbidities that may present challenges to reducing risky opioid use. The STOP trial presents an opportunity to detect and address subthreshold OUD in a cohort with considerable medical and social needs, within primary care settings. CLINICAL TRIALS REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT04218201.

BACKGROUND:The Tobacco, Alcohol, Prescription Medication, and Other Substance (TAPS) tool is a screening and brief assessment instrument to identify unhealthy tobacco, alcohol, drug use, and prescription medication use in primary care patients. This secondary analysis compares the TAPS tool to the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) for alcohol screening. METHODS:Adult primary care patients (1124 female, 874 male) completed the TAPS tool followed by AUDIT-C. Performance of each instrument was evaluated against a reference standard measure, the modified World Mental Health Composite International Diagnostic Interview, to identify problem use and alcohol use disorder (AUD). Area under the curve (AUC) appraised discrimination, and sensitivity and specificity were calculated for Youden optimal score thresholds. RESULTS:For identifying problem use: On the AUDIT-C, AUC was 0.90 (95% Confidence Interval: 0.86-0.92) for females and 0.91 (0.89-0.93) for males. Sensitivity and specificity for females were 0.89 (0.83-0.93) and 0.78 (0.75-0.80), respectively, and for males were 0.84 (0.79-0.88) and 0.82 (0.79-0.85). On the TAPS tool, AUC was 0.82 (0.79-0.86) for females and 0.81 (0.78-0.84) for males. Sensitivity and specificity for females were 0.78 (0.72-0.84) and 0.78 (0.75-0.81), respectively, and for males were 0.76 (0.71-0.81) and 0.76 (0.72-0.79). For AUD: On the AUDIT-C, AUC was 0.90 (0.88-0.93) for both females and males. Sensitivity and specificity for females were 0.83 (0.74-0.90) and 0.83 (0.80-0.85), respectively, while for males, they were 0.81 (0.74-0.87) and 0.84 (0.81-0.87). On the TAPS tool, AUC was 0.84 (0.80-0.89) for females and 0.82 (0.78-0.86) for males. Sensitivity and specificity for females were 0.73 (0.63-0.81) and 0.85 (0.83-0.88), respectively, while for males, they were 0.75 (0.68-0.81) and 0.84 (0.81-0.86). CONCLUSION/CONCLUSIONS:The AUDIT-C performed somewhat better than the TAPS tool for alcohol screening. However, the TAPS tool had an acceptable level of performance for alcohol screening and may be advantageous in practice settings seeking to identify alcohol and other substance use with a single instrument.

BACKGROUND:Despite proliferation of acute-care interventions to initiate medications for opioid use disorder (MOUD), significant challenges remain to supporting care continuity following discharge. Research is needed to inform effective hospital strategies to support patient transitions to ongoing MOUD in the community. OBJECTIVE:To inform a taxonomy of care transition strategies to support MOUD continuity from hospital to community-based settings and assess their perceived impact and feasibility among experts in the field. DESIGN/METHODS:A modified Delphi consensus process through three rounds of electronic surveys. PARTICIPANTS/METHODS:Experts in hospital-based opioid use disorder (OUD) treatment, care transitions, and hospital-based addiction treatment. MAIN MEASURES/METHODS:Delphi participants rated the impact and feasibility of 14 OUD care transition strategies derived from a review of the scientific literature on a scale from 1 to 9 over three survey rounds. Panelists were invited to suggest additional care transition strategies. Agreement level was calculated based on proportion of ratings within three points of the median. KEY RESULTS/RESULTS:Forty-five of 71 invited panelists participated in the survey. Agreement on impact was strong for 12 items and moderate for 10. Agreement on feasibility was strong for 11 items, moderate for 7, and poor for 4. Strategies with highest ratings on impact and feasibility included initiation of MOUD in-hospital and provision of buprenorphine prescriptions or medications before discharge. All original 14 strategies and 8 additional strategies proposed by panelists were considered medium- or high-impact and were incorporated into a final taxonomy of 22 OUD care transition strategies. CONCLUSIONS:Our study established expert consensus on impactful and feasible hospital strategies to support OUD care transitions from the hospital to community-based MOUD treatment, an area with little empirical research thus far. It is the hope that this taxonomy serves as a stepping-stone for future evaluations and clinical practice implementation toward improved MOUD continuity and health outcomes.

OBJECTIVES/OBJECTIVE:We explored medications for opioid use disorder treatment (MOUD) utilization in six New York City public hospitals that implemented the "Consultation for Addiction Care and Treatment in Hospitals (CATCH)" program. METHODS:CATCH rolled out between October 2018 and February 2020. Data from the electronic health record were analyzed for the first year post-implementation. Eligible cases included adults with an opioid-related diagnosis admitted to inpatient departments served by CATCH, with a stay of ≥1 night. Patients were classified as receiving an MOUD order if there was at least 1 order of buprenorphine, methadone, or naltrexone. Logistic regression modeled the impact of CATCH consults on MOUD orders, controlling for demographic and clinical characteristics with hospital as a random effect. RESULT/RESULTS:Among 2117 eligible patients, 71.4% were male, with a mean age of 51.2 years, and 27.2% identified as Black, 21.2% as White, and 34.5% as Hispanic. MOUD was ordered in 60.9% of admissions, and 41.5% had a completed CATCH consult. Patients identified as Black had lower odds of receiving a MOUD order than those identified as White (OR: 0.52, 95% CI: 0.38-0.71; P < 0.001). Patients with a CATCH consult had higher odds of receiving a MOUD order (OR: 3.22, 95% CI: 2.54-4.07; P < 0.001). CONCLUSION/CONCLUSIONS:Majority of patients in our sample received a MOUD order, with higher odds among those with a CATCH consult. Further research is needed on the drivers of racial disparities in MOUD, and other contextual, organizational, and population-specific barriers and facilitators contributing to receipt of hospital-based addiction consult services and MOUD.

OBJECTIVE:This analysis evaluated the validation results of the Tobacco, Alcohol, Prescription Medication, and Other Substance Use (TAPS) tool for older adults. METHODS:We performed a subgroup analysis of older adults aged ≥65 (n = 184) from the TAPS tool validation study conducted in 5 primary care clinics. We compared the interviewer and self-administered versions of the TAPS tool at a cutoff of ≥1 for identifying problem use with a reference standard measure, the modified World Mental Health Composite International Diagnostic Interview. RESULTS:The mean age was 70.6 ± 5.9 years, 52.7% were female, and 49.5% were non-Hispanic Black. For identifying problem use, the self-administered TAPS tool had sensitivity of 0.91 (95% CI: 0.75-0.98) and specificity of 0.91 (95% CI: 0.85-0.95) for tobacco; sensitivity of 0.68 (95% CI: 0.45-0.86) and specificity of 0.88 (95% CI: 0.82-0.93) for alcohol; and sensitivity 0.86 (95% CI: 0.42-1.00) and specificity 0.94 (95% CI: 0.90-0.97) for cannabis. The interviewer-administered TAPS tool had similar results. We were unable to evaluate its performance for identifying problem use of individual classes of drugs other than cannabis in this population due to small sample sizes. CONCLUSIONS:While the TAPS had excellent sensitivity and specificity for identifying tobacco use among older adults, the results for other substances lack precision, and we were unable to evaluate its performance for prescription medications and individual illicit drugs in this sample. This analysis underlines the critical need to adapt and validate screening tools for unhealthy substance use, specifically for older populations who have unique risks.

BACKGROUND:In response to the heavy burden of untreated substance use disorders (SUD) in hospital patients, many health systems are implementing addiction consult services staffed by interprofessional teams that diagnose SUD, make recommendations for SUD care in the hospital, and link patients to post-discharge treatment. In 2018, the New York City public hospital system began rolling out the Consult for Addiction Treatment and Care in Hospitals (CATCH) program in six hospitals. CATCH teams are comprised of an addiction-trained medical provider, social worker or addiction counselor, and peer counselor. METHODS:The study conducted qualitative interviews with CATCH staff at all six participating hospitals as part of a pragmatic trial studying the effectiveness and implementation of CATCH. The Consolidated Framework for Implementation Research (CFIR) framework guided interviews conducted from 2018 to 2021 with 26 staff at the start of implementation and with 33 staff 9-12 months post-implementation. The study team created a codebook a priori and further refined it through additional coding of initial interviews. Codes were systematically analyzed using the CFIR. RESULTS:Barriers and facilitators spanned four CFIR domains: inner setting, outer setting, process, and individual characteristics. Barriers identified were primarily related to the outer and inner settings, including patient characteristics and limited resources (e.g. medical comorbidities, homelessness), insurance, CATCH team role confusion, and infrastructure deficits (e.g., availability of physical space). Additional barriers related to process (workload burden), and characteristics of individuals (stigma and lack of comfort treating SUD among medical teams). Facilitators were mostly related to the characteristics of individuals on the CATCH team (advantages and expertise of the CATCH peer counselor, CATCH team communication and cohesiveness) and inner setting (CATCH team relationships with hospital staff, hospital leadership buy-in and support, and infrastructure). Community networks (outer setting) and CATCH training resources (process) were also facilitators of program implementation. CONCLUSION/CONCLUSIONS:Addiction consult services have great potential for improving care for hospital patients with SUD, but as new programs in busy hospital settings they face barriers to implementation that could impact their effectiveness. Barriers may be particularly impactful for programs operating in safety-net hospitals, given limited resources within the health system and the multiple and complex needs of their patients. Understanding the strengths of these programs as well as the barriers to their implementation is critical to utilizing addiction consult services effectively.

INTRODUCTION/BACKGROUND:The United States is facing an opioid use disorder (OUD) epidemic, marked by unprecedented overdose death rates. In New York State, synthetic opioids significantly contribute to the increasing overdose deaths, disproportionately impacting Black and Latinx communities. There is an urgent need to address issues related to equitable access to and the quality of care provided by substance use disorder (SUD) treatment programs. In light of this, the Quality Measurement and Management Research Center (QM2-RC) brought together an academic-government partnership to develop a person-centered quality measurement system and to assess its impact on a statewide treatment system that serves approximately 180,000 individuals per year. METHODS AND ANALYSIS/METHODS:The QM2-RC encompasses three interconnected projects (Project 1, 2, and 3) aimed at developing a quality management strategy and evaluating its impact on system performance across New York State. This report specifically focuses on Project 3, which involves a stepped-wedge trial with 35 clinics receiving a quality management intervention that includes performance coaching. This intervention will be compared to a treatment-as-usual (TAU) condition for clinics not participating in the trial. Administrative data will be utilized to monitor outcomes over four years. The coaching intervention, guided by the Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) model, emphasizes interpreting quality measures and applying insights to enhance care. Coaches will provide support on data utilization, patient-centered care, harm reduction strategies, and the use of patient monitoring tools. The trial aims to evaluate clinic staff and leadership attitudes, experiences, and behaviors through surveys, semi-structured interviews, and external facilitator notes. Primary clinic outcomes will be assessed through adverse events, decreased clinic rates of substance use related emergency department visits and hospitalizations as well as mortality among patients within the first 12 months after admission to treatment after adjusting for individual and community level characteristics. This study is being developed over a multi-year period and will be informed by a mixed-methods approach incorporating multiple data sources, qualitative interviews, patient and clinic surveys. The study is being conducted in partnership with New York State Office of Addiction Services and Supports (OASAS) and will be informed by input from patient, providers, health insurers, family members and local governing units. DISCUSSION/CONCLUSIONS:Project 3 of the QM2 study specifically targets key barriers in measuring the quality of SUD treatment, including technological limitations, unvalidated measures, workforce data literacy, and concerns about fairness in assessing clinical complexity. Through the implementation of a stepped-wedge trial involving 35 clinics, the project aims to develop new quality measures, offer performance feedback, and engage clinic leadership and staff in efforts to improve practices. The ultimate goal of Project 3 is to overcome these barriers, promote person-centered care, and improve SUD treatment practices across New York State.