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.

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.

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.

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.

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.

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).

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.

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.

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.

The Perceived Impact of the COVID-19 Pandemic on the Social Needs of Adult Emergency Department Patients.

Objectives: We aim to assess the influence of COVID-19 on the social needs of emergency department (ED) patients, and assess patients' access to social services. Methods: We conducted a cross-sectional survey of 175 purposively sampled adult ED patients. Results: Approximately half of participants stated that COVID-19 negatively impacted their social needs with statistically significant differences observed for race, ethnicity, and insurance status. Many participants did not know of available social services, and a majority welcomed assistance from the ED. Conclusion: This study suggests that unmet social needs have risen because of COVID-19, and EDs may be positioned to identify and assist affected patients.

Improving Uptake of Emergency Department-initiated Buprenorphine: Barriers and Solutions.

Emergency departments (ED) are increasingly providing buprenorphine to persons with opioid use disorder. Buprenorphine programs in the ED have strong support from public health leaders and emergency medicine specialty societies and have proven to be clinically effective, cost effective, and feasible. Even so, few ED buprenorphine programs currently exist. Given this imbalance between evidence-based practice and current practice, proven behavior change approaches can be used to guide local efforts to expand ED buprenorphine capacity. In this paper, we use the theory of planned behavior to identify and address the 1) clinician factors, 2) institutional factors, and 3) external factors surrounding ED buprenorphine implementation. By doing so, we seek to provide actionable and pragmatic recommendations to increase ED buprenorphine availability across different practice settings.

Effect of a Peer-Led Behavioral Intervention for Emergency Department Patients at High Risk of Fatal Opioid Overdose: A Randomized Clinical Trial.

Importance: Fatal and nonfatal opioid overdoses are at record levels, and emergency department (ED) visits may be an opportune time to intervene. Peer-led models of care are increasingly common; however, little is known about their effectiveness. Objective: To evaluate the effect of a peer-led behavioral intervention compared with the standard behavioral intervention delivered in the ED on engagement in substance use disorder (SUD) treatment within 30 days after the ED encounter. Design, Setting, and Participants: This randomized clinical trial recruited 648 patients from 2 EDs from November 15, 2018, to May 31, 2021. Patients were eligible to participate if they were in the ED for an opioid overdose, receiving treatment related to an opioid use disorder, or identified as having had a recent opioid overdose. Interventions: Participants were randomly assigned to receive a behavioral intervention from a certified peer recovery specialist (n = 323) or a standard intervention delivered by a hospital-employed licensed clinical social worker (n = 325). A certified peer recovery specialist was someone with at least 2 years of recovery who completed a 45-hour training program and had 500 hours of supervised work experience. After the ED intervention, the certified peer recovery specialists offered continued contact with participants for up to 90 days. Main Outcomes and Measures: The primary outcome was receipt of SUD treatment within 30 days of enrollment, assessed with deterministic linkage of statewide administrative databases. Treatment engagement was defined as admission to a formal, publicly licensed SUD treatment program or receipt of office-based medication for opioid use disorder within 30 days of the initial ED visit. Results: Among the 648 participants, the mean (SD) age was 36.9 (10.8) years, and most were male (442 [68.2%]) and White (444 [68.5%]). Receipt of SUD treatment occurred for 103 of 323 participants (32%) in the intervention group vs 98 of 325 participants (30%) in the usual care group within 30 days of the ED visit. Among all participants, the most accessed treatments were outpatient medication for opioid use disorder (buprenorphine, 119 [18.4%]; methadone, 44 [6.8%]) and residential treatment (44 [6.8%]). Conclusions and Relevance: Overall, this study found that a substantial proportion of participants in both groups engaged in SUD treatment within 30 days of the ED visit. An ED-based behavioral intervention is likely effective in promoting treatment engagement, but who delivers the intervention may be less influential on short-term outcomes. Further study is required to determine the effects on longer-term engagement in SUD care and other health outcomes (eg, recurrent overdose). Trial Registration: ClinicalTrials.gov Identifier: NCT03684681.

Mapping emergency department asthma visits to identify poor-quality housing in New Haven, CT, USA: a retrospective cohort study.

BACKGROUND: Housing conditions are a key driver of asthma incidence and severity. Previous studies have shown increased emergency department visits for asthma among residents living in poor-quality housing. Interventions to improve housing conditions have been shown to reduce emergency department visits for asthma, but identification and remediation of poor housing conditions is often delayed or does not occur. This study evaluates whether emergency department visits for asthma can be used to identify poor-quality housing to support proactive and early intervention. METHODS: We conducted a retrospective cohort study of children and adults living in and around New Haven, CT, USA, who were seen for asthma in an urban, tertiary emergency department between March 1, 2013, and Aug 31, 2017. We geocoded and mapped patient addresses to city parcels, and calculated a composite estimate of the incidence of emergency department use for asthma for each parcel (Nv × Np/log2[P], where Nv is the estimated mean number of visits per patient, Np is the number of patients, and P is the estimated population). To determine whether parcel-level emergency department use for asthma was associated with public housing inspection scores, we used regression analyses, adjusting for neighbourhood-level and individual-level factors contributing to emergency department use for asthma. Public housing complex inspection scores were obtained from standardised home inspections, which are conducted every 1-3 years for publicly funded housing. We used a sliding-window approach to estimate how far in advance of a failed inspection the model could identify elevated use of emergency departments for asthma, using the city-wide 90th percentile as a cutoff for elevated incidence. FINDINGS: 11 429 asthma-related emergency department visits from 6366 unique patients were included in the analysis. Mean patient age was 32·4 years (SD 12·8); 3836 (60·3%) patients were female, 2530 (39·7%) were male, 3461 (57·2%) were Medicaid-insured, and 2651 (41·6%) were Black. Incidence of emergency department use for asthma was strongly correlated with lower housing inspection scores (Pearson's r=-0·55 [95% CI -0·70 to -0·35], p=3·5 × 10-6), and this correlation persisted after adjustment for patient-level and neighbourhood-level demographics using a linear regression model (r=-0·54 [-0·69 to -0·33], p=7·1 × 10-6) and non-linear regression model (r=-0·44 [-0·62 to -0·21], p=3·8 × 10-4). Elevated asthma incidence rates were typically detected around a year before a housing complex failed a housing inspection. INTERPRETATION: Emergency department visits for asthma are an early indicator of failed housing inspections. This approach represents a novel method for the early identification of poor housing conditions and could help to reduce asthma-related morbidity and mortality. FUNDING: Harvard-National Institute of Environmental Health Sciences (NIEHS) Center for Environmental Health.

Trends in U.S. MD-PhD Program Matriculant Diversity by Sex and Race/Ethnicity.

PURPOSE: To examine demographic characteristics of matriculants to U.S. MD-PhD programs by sex and race/ethnicity from academic years (AYs) 2009-2018 and explore the relationships between trends in the percentage of female and underrepresented minority (URM) matriculants to programs with and without Medical Scientist Training Program (MSTP) funding. METHOD: Linear regression and time trend analysis of the absolute percentage of matriculants into all U.S. MD-PhD programs was performed for self-reported sex and race/ethnicity, using Association of American Medical Colleges data for AYs 2009-2018, including an interaction for MSTP funding status (yes/no) and year. Linear regression of the percentage of programs matriculating no female or no URM students between AYs 2009 and 2018 was performed, focusing on programs in the top 3 quartiles by size (i.e., those matriculating 4 or more students per year). RESULTS: Between AYs 2009 and 2018, the percentage of matriculants to all MD-PhD programs who were female (38.0%-46.0%, 1.05%/year, P = .002) or URM (9.8%-16.7%, 0.77%/year, P < .001) increased. The annual percentage gains of URM matriculants were greater at MSTP-funded programs compared with non-MSTP-funded programs (0.50%/year, P = .046). Moreover, among MD-PhD programs in the top 3 quartiles by size, the percentage of programs with no female matriculants decreased by 0.40% per year ( P = .02) from 4.6% in 2009 to 1.6% in 2018, and the percentage of programs with no URM matriculants decreased by 3.41% per year ( P < .001) from 49% in 2009 to 22% in 2018. CONCLUSIONS: A consistent and sustained increase in the percentage of female and URM matriculants to MD-PhD programs from AYs 2009-2018 was observed, but the annual increases in the percentages across groups were small, and the demographics of the MD-PhD workforce still do not reflect the diversity of the U.S. general population.