Off-Label Use of Lamotrigine and Naltrexone in the Treatment of Ketamine Use Disorder: A Case Report.

BACKGROUND: Ketamine is a dissociative anesthetic increasingly utilized in United States medical settings for the treatment of mental health conditions. Additionally, it is increasingly used in nonmedical settings for its dissociative properties. While nonmedical ketamine use and ketamine use disorder (KUD) have been observed internationally, KUD, and approaches to its treatment, have not been previously described in the US. CASE PRESENTATION: We present the case of a 32-year-old man with KUD who experienced severe cravings despite receipt of residential and intensive outpatient substance use disorder treatment. He resumed use after an initial period of abstinence and was subsequently started on lamotrigine and naltrexone for treatment of depressive symptoms and cravings. This combination altered his experience while on ketamine, resulting in nausea and decreased hallucinogenic effects. In addition, it substantially decreased his cravings, aiding him in achieving longer-term abstinence in combination with receipt of dialectical behavioral therapy, familial support, and involvement in 12-step programming. DISCUSSION: KUD is a poorly described condition that may become more prevalent as US ketamine use increases. Combining treatment of depressive symptoms and cravings, in this case with lamotrigine and naltrexone, may be a promising pharmacotherapeutic strategy. Lamotrigine, an antiepileptic with glutamate modulating effects, has been utilized to decrease cravings in a variety of substance use disorders. Naltrexone is an opioid antagonist approved for alcohol use disorder and opioid use disorder and is used off-label for stimulant use disorder. This combination offers a possible pharmacotherapeutic option for KUD with more research needed to further evaluate.

"K Cramps," Recurrent Abdominal Pain in a Patient with Chronic Ketamine Use: A Case Report.

Introduction: Medical and nonmedical ketamine use is increasing in the United States. This will likely lead to an increase in emergency department (ED) visits in individuals experiencing associated side effects. Physicians will need to be able to effectively recognize and manage ketamine-related complications. Case Report: A 31-year-old male with a three-year history of inhalational, intramuscular, and intravenous nonmedical ketamine use presented to the ED twice within a week with symptoms of severe atraumatic back pain, abdominal pain, and dyspepsia. A comprehensive workup, including advanced imaging, was unrevealing for identifiable causes, and the patient was discharged with instructions for primary care follow-up for further evaluation. The patient used information shared on Reddit, an online forum and social network, to identify that the cause of his pain was related to chronic ketamine use. Subsequently, upon discontinuation of ketamine, the pain improved in 24 hours. The patient self-navigated to addiction treatment. Conclusion: Emergency physicians should consider sequelae of chronic ketamine use as a possible cause for gastrointestinal and urologic symptoms in the ED. In addition to thorough examination and assessment for other acute medical problems, patients should be offered education, symptomatic treatment, and linkage to harm reduction and substance use disorder treatment services.

Extended-Release 7-Day Injectable Buprenorphine for Patients With Minimal to Mild Opioid Withdrawal.

Importance: Buprenorphine is an effective yet underused treatment for opioid use disorder (OUD). Objective: To evaluate the feasibility (acceptability, tolerability, and safety) of 7-day injectable extended-release buprenorphine in patients with minimal to mild opioid withdrawal. Design, Setting, and Participants: This nonrandomized trial comprising 4 emergency departments in the Northeast, mid-Atlantic, and Pacific geographic areas of the US included adults aged 18 years or older with moderate to severe OUD and Clinical Opiate Withdrawal Scale (COWS) scores less than 8 (minimal to mild), in which scores range from 0 to 7, with higher scores indicating increasing withdrawal. Exclusion criteria included methadone-positive urine, pregnancy, overdose, or required admission. Outcomes were assessed at baseline, daily for 7 days by telephone surveys, and in person at 7 days. Patient recruitment occurred between July 13, 2020, and May 25, 2023. Intervention: Injection of a 24-mg dose of a weekly extended-release formulation of buprenorphine (CAM2038) and referral for ongoing OUD care. Main Outcomes and Measures: Primary feasibility outcomes included the number of patients who (1) experienced a 5-point or greater increase in the COWS score or (2) transitioned to moderate or greater withdrawal (COWS score ≥13) within 4 hours of extended-release buprenorphine or (3) experienced precipitated withdrawal within 1 hour of extended-release buprenorphine. Secondary outcomes included injection pain, satisfaction, craving, use of nonprescribed opioids, adverse events, and engagement in OUD treatment. Results: A total of 100 adult patients were enrolled (mean [SD] age, 36.5 [8.7] years; 72% male). Among the patients, 10 (10.0% [95% CI, 4.9%-17.6%]) experienced a 5-point or greater increase in COWS and 7 (7.0% [95% CI, 2.9%-13.9%]) transitioned to moderate or greater withdrawal within 4 hours, and 2 (2.0% [95% CI, 0.2%-7.0%]) experienced precipitated withdrawal within 1 hour of extended-release buprenorphine. A total of 7 patients (7.0% [95% CI, 2.9%-13.9%]) experienced precipitated withdrawal within 4 hours of extended-release buprenorphine, which included 2 of 63 (3.2%) with a COWS score of 4 to 7 and 5 of 37 (13.5%) with a COWS score of 0 to 3. Site pain scores (based on a total pain score of 10, in which 0 indicated no pain and 10 was the worst possible pain) after injection were low immediately (median, 2.0; range, 0-10.0) and after 4 hours (median, 0; range, 0-10.0). On any given day among those who responded, between 29 (33%) and 31 (43%) patients reported no cravings and between 59 (78%) and 75 (85%) reported no use of opioids; 57 patients (60%) reported no days of opioid use. Improving privacy (62%) and not requiring daily medication (67%) were deemed extremely important. Seventy-three patients (73%) were engaged in OUD treatment on day 7. Five serious adverse events occurred that required hospitalization, of which 2 were associated with medication. Conclusions and Relevance: This nonrandomized trial of the feasibility of a 7-day buprenorphine injectable in patients with minimal to mild opioid withdrawal (COWS scores, 0-7) found the formulation to be acceptable, well tolerated, and safe in those with COWS scores of 4 to 7. This new medication formulation could substantially increase the number of patients with OUD receiving buprenorphine. Trial Registration: ClinicalTrials.gov Identifier: NCT04225598.

Provider and administrator attitudes and experiences with implementing telebuprenorphine during the COVID-19 pandemic: a mixed-methods survey.

Introduction: This mixed-methods study assessed buprenorphine provider and administrator perceptions and experiences in offering telebuprenorphine during the COVID-19 pandemic. Methods: Semi-structured interviews were conducted between June 2021 and September 2021 among telebuprenorphine providers and administrators (N=16) and assessed for program design and implementation strategies, clinical workflow, patient-level factors influencing program entry and retention, and challenges and solutions to improving clinical care. Results: Clinician (n=15) and administrator (n=1) participants identified changes to clinical workflow, including increased administrative tasks to confirm patient receipt of prescribed medications, completion of referrals to community- or specialty treatment, and locating available pharmacies and laboratory services. Challenges consisted of staff redeployment to COVID-19 related responsibilities, prior authorization requirements for buprenorphine prescriptions, billing structures that under-reimbursed for telephone or video visits, and concerns with changes in government regulations. Strategies to improving telebuprenorphine included offering "hotlines" to facilitate same-day visits, expanding between-visit support, establishing workflows with community pharmacies to ensure seamless dispensing of buprenorphine, co-location of behavioral health providers, and distributing donated mobile phones to patients. Suggested technologies for enhancing care included text messaging (75%) and smartphone applications (56.3%). Conclusions: Findings from this study highlight considerable heterogeneity in the delivery of telebuprenorphine services.

Effect of a peer-led emergency department behavioral intervention on non-fatal opioid overdose: 18-month outcome in the Navigator randomized controlled trial.

BACKGROUND AND AIMS: Emergency departments (EDs) provide an opportunity to identify people at risk of overdose and reduce the risk. We evaluated the effect of an ED behavioral intervention delivered by peer recovery support specialists (PRSSs) on non-fatal opioid overdose. DESIGN: Two-arm, randomized trial. SETTING: Two EDs in Rhode Island, USA. PARTICIPANTS: ED patients presenting with an opioid overdose, complications of opioid use disorder or a recent history of opioid overdose (November 2018-May 2021). Among 648 participants, the mean age was 36.9 years, 68.2% were male and 68.5% were White. INTERVENTION AND COMPARATOR: Participants were randomized to receive a behavioral intervention from a PRSS (n = 323) or a licensed clinical social worker (LICSW) (n = 325). PRSS and LICSW used evidence-based interviewing and intervention techniques, informed by their lived experience (PRSS) or clinical theory and practice (LICSW). MEASUREMENTS: We identified non-fatal opioid overdoses in the 18 months following the ED visit through linkage to statewide emergency medical services data using a validated case definition. The primary outcome was any non-fatal opioid overdose during the 18-month follow-up period. FINDINGS: Among 323 participants randomized to the PRSS arm, 81 (25.1%) had a non-fatal opioid overdose during follow-up, compared with 95 (29.2%) of 325 participants randomized to the LICSW arm (P = 0.24). There was no statistically significant difference in the effectiveness of randomization to the PRSS arm versus the LICSW arm on the risk of non-fatal opioid overdose, adjusting for the history of previous overdose (relative risk = 0.86, 95% confidence interval = 0.67-1.11). CONCLUSIONS: In Rhode Island, USA, over one-in-four emergency department patients at high risk of overdose experience a non-fatal opioid overdose in the 18 months post-discharge. We found no evidence that the risk of non-fatal opioid overdose differs for emergency department patients receiving a behavioral intervention from a peer recovery support specialist versus a licensed clinical social worker.

Scaling Emergency Department Opioid Use Disorder Treatment Across California to Reduce Overdose Deaths, 2019-2023.

Since April 2019, CA Bridge has worked with emergency departments (EDs) in diverse geographic and emergency care settings across California to scale up low-threshold buprenorphine access, patient navigation programs, harm reduction services, and take-home naloxone. Between April 2019 and June 2023, 268 (81.0%) of 331 acute care hospitals in California received funding and technical assistance from CA Bridge and completed data reporting. These hospitals provided navigation services during 279 025 patient encounters and gave patients buprenorphine in 89 549 ED visits. (Am J Public Health. 2024;114(9):874-878. https://doi.org/10.2105/AJPH.2024.307710).

Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose.

BACKGROUND: This systematic review summarizes the development, accuracy, quality, and clinical utility of predictive models to assess the risk of opioid use disorder (OUD), persistent opioid use, and opioid overdose. METHODS: In accordance with Preferred Reporting Items for a Systematic Review and Meta-analysis guidelines, 8 electronic databases were searched for studies on predictive models and OUD, overdose, or persistent use in adults until June 25, 2023. Study selection and data extraction were completed independently by 2 reviewers. Risk of bias of included studies was assessed independently by 2 reviewers using the Prediction model Risk of Bias ASsessment Tool (PROBAST). RESULTS: The literature search yielded 3130 reports; after removing 199 duplicates, excluding 2685 studies after abstract review, and excluding 204 studies after full-text review, the final sample consisted of 41 studies that developed more than 160 predictive models. Primary outcomes included opioid overdose (31.6% of studies), OUD (41.4%), and persistent opioid use (17%). The most common modeling approach was regression modeling, and the most common predictors included age, sex, mental health diagnosis history, and substance use disorder history. Most studies reported model performance via the c statistic, ranging from 0.507 to 0.959; gradient boosting tree models and neural network models performed well in the context of their own study. One study deployed a model in real time. Risk of bias was predominantly high; concerns regarding applicability were predominantly low. CONCLUSIONS: Models to predict opioid-related risks are developed using diverse data sources and predictors, with a wide and heterogenous range of accuracy metrics. There is a need for further research to improve their accuracy and implementation.

Characterizing opioid overdose hotspots for place-based overdose prevention and treatment interventions: A geo-spatial analysis of Rhode Island, USA.

OBJECTIVE: Examine differences in neighborhood characteristics and services between overdose hotspot and non-hotspot neighborhoods and identify neighborhood-level population factors associated with increased overdose incidence. METHODS: We conducted a population-based retrospective analysis of Rhode Island, USA residents who had a fatal or non-fatal overdose from 2016 to 2020 using an environmental scan and data from Rhode Island emergency medical services, State Unintentional Drug Overdose Reporting System, and the American Community Survey. We conducted a spatial scan via SaTScan to identify non-fatal and fatal overdose hotspots and compared the characteristics of hotspot and non-hotspot neighborhoods. We identified associations between census block group-level characteristics using a Besag-York-Mollié model specification with a conditional autoregressive spatial random effect. RESULTS: We identified 7 non-fatal and 3 fatal overdose hotspots in Rhode Island during the study period. Hotspot neighborhoods had higher proportions of Black and Latino/a residents, renter-occupied housing, vacant housing, unemployment, and cost-burdened households. A higher proportion of hotspot neighborhoods had a religious organization, a health center, or a police station. Non-fatal overdose risk increased in a dose responsive manner with increasing proportions of residents living in poverty. There was increased relative risk of non-fatal and fatal overdoses in neighborhoods with crowded housing above the mean (RR 1.19 [95 % CI 1.05, 1.34]; RR 1.21 [95 % CI 1.18, 1.38], respectively). CONCLUSION: Neighborhoods with increased prevalence of housing instability and poverty are at highest risk of overdose. The high availability of social services in overdose hotspots presents an opportunity to work with established organizations to prevent overdose deaths.

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.

Leveraging a Learning Collaborative Model to Develop and Pilot Quality Measures to Improve Opioid Prescribing in the Emergency Department.

The American College of Emergency Physicians (ACEP) Emergency Medicine Quality Network (E-QUAL) Opioid Initiative was launched in 2018 to advance the dissemination of evidence-based resources to promote the care of emergency department (ED) patients with opioid use disorder. This virtual platform-based national learning collaborative includes a low-burden, structured quality improvement project, data benchmarking, tailored educational content, and resources designed to support a nationwide network of EDs with limited administrative and research infrastructure. As a part of this collaboration, we convened a group of experts to identify and design a set of measures to improve opioid prescribing practices to provide safe analgesia while reducing opioid-related harms. We present those measures here, alongside initial performance data on those measures from a sample of 370 nationwide community EDs participating in the 2019 E-QUAL collaborative. Measures include proportion of opioid administration in the ED, proportion of alternatives to opioids as first-line treatment, proportion of opioid prescription, opioid pill count per prescription, and patient medication safety education among ED visits for atraumatic back pain, dental pain, or headache. The proportion of benzodiazepine and opioid coprescribing for ED visits for atraumatic back pain was also evaluated. This project developed and effectively implemented a collection of 6 potential measures to evaluate opioid analgesic prescribing across a national sample of community EDs, representing the first feasibility assessment of opioid prescribing-related measures from rural and community EDs.

Behavioral Health Decision Support Systems and User Interface Design in the Emergency Department.

OBJECTIVE: The objective of this qualitative study is to gauge physician sentiment about an emergency department (ED) clinical decision support (CDS) system implemented in multiple adult EDs within a university hospital system. This CDS system focuses on predicting patients' likelihood of ED recidivism and/or adverse opioid-related events. METHODS: The study was conducted among adult emergency physicians working in three EDs of a single academic health system in Rhode Island. Qualitative, semistructured interviews were conducted with ED physicians. Interviews assessed physicians' prior experience with predictive analytics, thoughts on the alert's placement, design, and content, the alert's overall impact, and potential areas for improvement. Responses were aggregated and common themes identified. RESULTS: Twenty-three interviews were conducted (11 preimplementation and 12 postimplementation). Themes were identified regarding each physician familiarity with predictive analytics, alert rollout, alert appearance and content, and on alert sentiments. Most physicians viewed these alerts as a neutral or positive EHR addition, with responses ranging from neutral to positive. The alert placement was noted to be largely intuitive and nonintrusive. The design of the alert was generally viewed positively. The alert's content was believed to be accurate, although the decision to respond to the alert's call-to-action was physician dependent. Those who tended to ignore the alert did so for a few reasons, including already knowing the information the alert contains, the alert offering information that is not relevant to this particular patient, and the alert not containing enough information to be useful. CONCLUSION: Ultimately, this alert appears to have a marginally positive effect on ED physician workflow. At its most beneficial, the alert reminded physicians to deeply consider the care provided to high-risk populations and to potentially adjust their care and referrals. At its least beneficial, the alert did not affect physician decision-making but was not intrusive to the point of negatively impacting workflow.

Examination of the Accuracy of Existing Overdose Surveillance Systems.

Importance: Health departments have used a variety of methods for overdose surveillance, and the Centers for Disease Control and Prevention (CDC) is implementing a standardized case definition to improve overdose surveillance nationally. The comparative accuracy of the CDC opioid overdose case definition vs existing state opioid overdose surveillance systems is unknown. Objective: To evaluate the accuracy of the CDC opioid overdose case definition and existing Rhode Island Department of Health (RIDOH) state opioid overdose surveillance system. Design, Setting, and Participants: This cross-sectional study of ED opioid overdose visits was conducted at 2 EDs in Providence, Rhode Island, at the state's largest health system from January to May 2021. Electronic health records (EHRs) were reviewed for opioid overdoses identified by the CDC case definition and opioid overdoses reported to the RIDOH state surveillance system. Included patients were those at study EDs whose visit met the CDC case definition, was reported to the state surveillance system, or both. True overdose cases were confirmed by EHR review using a standard case definition; 61 of 460 EHRs (13.3%) were double reviewed to estimate classification accuracy. Data were analyzed from January through May 2021. Main Outcome and Measure: Accurate identification of an opioid overdose was assessed by estimating the positive predictive value of the CDC case definition and state surveillance system using results from the EHR review. Results: Among 460 ED visits that met the CDC opioid overdose case definition, were reported to the RIDOH opioid overdose surveillance system, or both (mean [SD] age, 39.7 [13.5] years; 313 males [68.0%]; 61 Black [13.3%], 308 White [67.0%], and 91 other race [19.8%]; and 97 Hispanic or Latinx [21.1%] among each patient visit), 359 visits (78.0%) were true opioid overdoses. For these visits, the CDC case definition and RIDOH surveillance system agreed that 169 visits (36.7%) were opioid overdoses. Of 318 visits meeting the CDC opioid overdose case definition, 289 visits (90.8%; 95% CI, 87.2%-93.8%) were true opioid overdoses. Of 311 visits reported to the RIDOH surveillance system, 235 visits (75.6%; 95% CI, 70.4%-80.2%) were true opioid overdoses. Conclusions and Relevance: This cross-sectional study found that the CDC opioid overdose case definition more often identified true opioid overdoses compared with the Rhode Island overdose surveillance system. This finding suggests that using the CDC case definition for opioid overdose surveillance may be associated with improved data efficiency and uniformity.

Statewide Policy to Increase Provision of Take-Home Naloxone at Emergency Department Visits for Opioid Overdose, Rhode Island, 2018‒2019.

In 2017, Rhode Island responded to rising overdose deaths by establishing statewide emergency department (ED) treatment standards for opioid overdose and opioid use disorder. One requirement of the policy is that providers prescribe or provide take-home naloxone to anyone presenting to EDs with opioid overdose. Among adults presenting to EDs with opioid overdose from 2018 to 2019, approximately half received take-home naloxone. Receipt of naloxone was associated with administration of naloxone before ED presentation, ED policy certification level, and regional overdose frequency. (Am J Public Health. 2023;113(4):372-377. https://doi.org/10.2105/AJPH.2022.307213).

Evaluation of a Statewide Policy to Improve Post-Overdose Care in Emergency Departments and Subsequent Treatment Engagement.

OBJECTIVE: To evaluate the impact of a statewide treatment standards policy for post-overdose emergency department (ED) care on services provided and subsequent treatment engagement. METHODS: This pre-/post-study used electronic health record data and surveillance data from Rhode Island. Outcomes were compared for patients attending EDs for opioid overdose before (03/1/2015-02/28/2017) and after (04/01/2017-03/31/2021) policy release. RESULTS: Overall, 2,134 patients attended 2,891 ED visits for opioid overdose. Compared to pre-policy, visits post-policy more often included initiation of buprenorphine in or from the ED (<1% vs. 3%, p<0.01), provision of a take-home naloxone kit or prescription (41% vs. 58%, p<0.01), and referral to treatment (0% vs. 34%, p<0.01). Provision of behavioral counseling in the ED and initiation of treatment within 30 days of the visit were similar during the two periods. CONCLUSIONS: Statewide post-overdose treatment standards may improve provision of some ED services. Additional strategies are needed to improve subsequent treatment engagement.

An evaluation of the association between specific post-overdose care services in emergency departments and subsequent treatment engagement.

Objective: The objective of this study was to estimate the association between receipt of specific post-overdose care services in the emergency department (ED) and subsequent engagement in treatment for opioid use disorder (OUD) after discharge. Methods: This was a retrospective cohort study of Rhode Island residents treated at 1 of 4 EDs for opioid overdose who were not engaged in OUD treatment and were discharged home (May 2016-April 2021). Electronic health record data were used to identify ED services received, and state administrative data were used to define subsequent engagement in OUD treatment within 30 days. Multivariable conditional logistic regression was used to estimate the association between ED services received and subsequent treatment engagement. Results: Overall, 1008 people not engaged in OUD treatment were treated at study EDs for opioid overdose and discharged home, of whom 146 (14%) subsequently engaged in OUD treatment within 30 days. Most patients were aged 25 to 44 years (59%) and non-Hispanic White (69%). Receipt of behavioral counseling in the ED (adjusted odds ratio [aOR] = 1.79, 95% confidence interval [CI] = 1.18-2.71) and initiation of buprenorphine treatment in/from the ED (aOR = 5.86, 95% CI = 2.70-12.71) were associated with treatment engagement. Receipt of a take-home naloxone kit or naloxone prescription and referral to treatment at discharge were not associated with treatment engagement. Overall, 49% of patients received behavioral counseling in the ED, and 3% initiated buprenorphine in/from the ED. Conclusion: Strategies for increasing provision of behavioral counseling and initiation of buprenorphine in the ED may be useful for improving subsequent engagement in OUD treatment after discharge.

Outcome class imbalance and rare events: An underappreciated complication for overdose risk prediction modeling.

BACKGROUND AND AIMS: Low outcome prevalence, often observed with opioid-related outcomes, poses an underappreciated challenge to accurate predictive modeling. Outcome class imbalance, where non-events (i.e. negative class observations) outnumber events (i.e. positive class observations) by a moderate to extreme degree, can distort measures of predictive accuracy in misleading ways, and make the overall predictive accuracy and the discriminatory ability of a predictive model appear spuriously high. We conducted a simulation study to measure the impact of outcome class imbalance on predictive performance of a simple SuperLearner ensemble model and suggest strategies for reducing that impact. DESIGN, SETTING, PARTICIPANTS: Using a Monte Carlo design with 250 repetitions, we trained and evaluated these models on four simulated data sets with 100 000 observations each: one with perfect balance between events and non-events, and three where non-events outnumbered events by an approximate factor of 10:1, 100:1, and 1000:1, respectively. MEASUREMENTS: We evaluated the performance of these models using a comprehensive suite of measures, including measures that are more appropriate for imbalanced data. FINDINGS: Increasing imbalance tended to spuriously improve overall accuracy (using a high threshold to classify events vs non-events, overall accuracy improved from 0.45 with perfect balance to 0.99 with the most severe outcome class imbalance), but diminished predictive performance was evident using other metrics (corresponding positive predictive value decreased from 0.99 to 0.14). CONCLUSION: Increasing reliance on algorithmic risk scores in consequential decision-making processes raises critical fairness and ethical concerns. This paper provides broad guidance for analytic strategies that clinical investigators can use to remedy the impacts of outcome class imbalance on risk prediction tools.

Thirty-day Treatment Continuation After Audio-only Buprenorphine Telehealth Initiation.

OBJECTIVES: Before the coronavirus disease 2019 pandemic, federal law required in-person evaluation before buprenorphine initiation. Regulatory changes during the pandemic allow for buprenorphine initiation by audio-only or audiovisual telehealth. Little is known about treatment engagement after buprenorphine initiation conducted via audio-only telehealth. METHODS: A retrospective cohort study of 94 individuals who received initial treatment through an audio-only encounter between April 2020 and February 2021 was performed. Participant demographics, substance use history, withdrawal symptoms, 30-day treatment engagement, and adverse outcomes were determined by an electronic chart and REDcap database review. Subsequent buprenorphine prescriptions filled within 30 days of the initial encounter were tracked through the Rhode Island Prescription Drug Monitoring Program. RESULTS: Buprenorphine was prescribed for 94 individuals. Most (92 of 94 [97.9%]) filled their prescription within 30 days. Most had previously taken buprenorphine, including prescribed (42 of 92 [45.7%]) and nonprescribed (58 of 92 [63.0%]). Two thirds were in opioid withdrawal at the time of the call (61 of 92 [66.3%]) with a mean Subjective Opioid Withdrawal Scale of 26.8 (range, 4-57). Four individuals experienced precipitated withdrawal (4 of 94 [4.3%]), and 2 reported persistent withdrawal at their follow-up visit (2 of 94 [2.1%]). More than 70% filled a subsequent prescription for buprenorphine within 30 days of the end of their hotline prescription (65 of 92 [70.7%]), on average of 5.88 days (range, 0-28) after completion of their telehealth prescription. CONCLUSIONS: Expanding telehealth-delivered buprenorphine care has the potential to address treatment gaps and facilitate delivery of on-demand services during peak motivation. This evaluation of audio-only buprenorphine initiation found high rates of unobserved buprenorphine initiation and treatment continuation with low rates of complications.

A Quality Measurement Framework for Emergency Department Care of Psychiatric Emergencies.

As a primary access point for crisis psychiatric care, the emergency department (ED) is uniquely positioned to improve the quality of care and outcomes for patients with psychiatric emergencies. Quality measurement is the first key step in understanding the gaps and variations in emergency psychiatric care to guide quality improvement initiatives. Our objective was to develop a quality measurement framework informed by a comprehensive review and gap analysis of quality measures for ED psychiatric care. We conducted a systematic literature review and convened an expert panel in emergency medicine, psychiatry, and quality improvement to consider if and how existing quality measures evaluate the delivery of emergency psychiatric care in the ED setting. The expert panel reviewed 48 measures, of which 5 were standardized, and 3 had active National Quality Forum endorsement. Drawing from the measure appraisal, we developed a quality measurement framework with specific structural, process, and outcome measures across the ED care continuum. This framework can help shape an emergency medicine roadmap for future clinical quality improvement initiatives, research, and advocacy work designed to improve outcomes for patients presenting with psychiatric emergencies.

Emergency Department Buprenorphine Quality Improvement and Emergency Physician Knowledge, Attitudes, and Self-Efficacy.

Objective: Buprenorphine is an evidence-based treatment for opioid use disorder that is underused in the emergency department (ED). In this study we evaluated changes in emergency physician knowledge, confidence, and self-efficacy regarding buprenorphine prescribing and working with patients who use drugs after implementation of an ED buprenorphine quality improvement (QI) initiative. Methods: An anonymous, online survey was administered to emergency physicians staffing four EDs in New England in 2019 and 2020 before and after an ED QI initiative. Survey questions included novel and previously validated questions to assess confidence, knowledge, self-efficacy, and attitudes about buprenorphine and working with patients who use drugs. Confidence, self-efficacy, and attitude responses were assessed on a Likert scale. Participants received a gift card for survey completion. We analyzed pre- and post- survey responses descriptively and compared them using t-tests. Using logistic regression we evaluated the factors associated with buprenorphine prescribing. Results: Of 95 emergency physicians, 56 (58.9% response rate) completed the pre-intervention survey and 60 (63.2%) completed the post-survey. There was an increase in the number of X-waivered adult emergency physicians and ED buprenorphine prescribing after program implementation. Physician confidence increased from a mean of 3.4 (SD 0.8) to 3.9 (SD 0.7; scale 1-5, p < 0.01). Knowledge about buprenorphine increased from a mean score of 1.4 (SD 0.7) to 1.7 (SD 0.5, p < 0.01). Physician attitudes and self-efficacy did not change. Post-initiative, increased confidence was associated with higher odds of buprenorphine prescribing (odds ratio 4.4; 95% confidence interval 1.07-18.4). Conclusion: After an ED QI initiative, buprenorphine prescribing in the ED increased, as did both physician confidence in working with patients who use drugs and their knowledge of buprenorphine. Increased confidence was associated with higher odds of buprenorphine prescribing and should be a focus of future, buprenorphine implementation strategies in the ED.

Sociodemographic and prescribing characteristics that impact long-term retention in buprenorphine treatment for opioid use disorder among a statewide population.

BACKGROUND AND AIMS: Partial opioid agonist medications for opioid use disorder reduce mortality and morbidity, however long-term retention in treatment is challenging. The objective of this study was to identify patient and prescription characteristics associated with long-term buprenorphine treatment retention. METHODS: We used data from the Rhode Island prescription drug monitoring program to identify residents who initiated buprenorphine treatment and determine if they were retained in long-term buprenorphine treatment 12-months after treatment initiation. Multivariable logistic regression models were used to identify sociodemographic and prescription characteristics associated with long-term buprenorphine retention. FINDINGS: During the study period 4898 unique Rhode Island residents initiated buprenorphine treatment, of whom 37.8 % were retained in treatment at 12-months. Demographic factors associated with a higher odds of long-term buprenorphine retention included older age, female sex, Medicaid insurance (vs private), and living closer to the pharmacy where the prescription was filled. Individuals who were prescribed the tablet formulation (aOR: 0.82 [95 % CI 0.72, 0.93]) or received a non-buprenorphine opioid during the follow-up window (aOR: 0.37 [95 % CI 0.31, 0.44]) had lower odds of long-term treatment at 12-months. Individuals who received at least one day of overlapping benzodiazepine and buprenorphine prescriptions (aOR: 2.00 [95 % CI 1.70, 2.34]) and those given a longer days supply (aOR: 1.26 [95 % CI 1.01, 1.56]) had higher odds of long-term treatment at 12-months. Findings were similar for treatment retention at 6-months in sensitivity analyses. CONCLUSIONS: These findings highlight several modifiable prescribing practices associated with long-term buprenorphine retention, suggesting that clinicians and public health practitioners can help remove barriers to long-term retention.