Towards a youth mental health paradigm: a perspective and roadmap.

Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health. This perspective addresses interactions between risk and protective factors and brain development as key pillars accounting for the emergence of psychopathology in youth. Moreover, we propose that novel approaches towards early diagnosis and interventions are required that reflect the evolution of emerging psychopathology, the importance of novel service models, and knowledge exchange between science and practitioners. Taken together, we propose a transformative early intervention paradigm for research and clinical care that could significantly enhance mental health in young people and initiate a shift towards the prevention of severe mental disorders.

Trends in mortality after emergency department presentation for suicidal behaviour in California.

INTRODUCTION: Emergency department patients presenting with non-fatal suicidal behaviour face elevated risk of suicide and all-cause mortality, but the extent to which this has changed over time is unknown. This study tracked trends in mortality risks faced by emergency department patients presenting with deliberate self-harm and suicidal ideation in California. METHODS: Using statewide linked emergency department and death data, we estimated 2010-2016 trends in suicide and all-cause mortality among emergency department patients with either deliberate self-harm (n=111 658) or suicidal ideation (n=162 959). We also calculated average annual percent changes in age-adjusted mortality rates and compared these to the general California population. RESULTS: Deliberate self-harm and suicidal ideation patients' age-adjusted suicide rates decreased by approximately 5% per year during the study period; however, their all-cause mortality trends were flat. In the general California population, suicide rate trends were flat while all-cause mortality slightly declined. CONCLUSIONS: Suicide mortality unexpectedly declined among self-harming and suicidal patients presenting to California emergency departments. Additional research is needed to understand the reasons behind this decline and inform quality improvement efforts for suicide prevention in hospital settings.

Variation in completeness of coding external cause of injuries under ICD-10-CM.

INTRODUCTION: Information about causes of injury is key for injury prevention efforts. Historically, cause-of-injury coding in clinical practice has been incomplete due to the need for extra diagnosis codes in the International Classification of Diseases-Ninth Revision-Clinical Modification (ICD-9-CM) coding. The transition to ICD-10-CM and increased use of clinical support software for diagnosis coding is expected to improve completeness of cause-of-injury coding. This paper assesses the recording of external cause-of-injury codes specifically for those diagnoses where an additional code is still required. METHODS: We used electronic health record and claims data from 10 health systems from October 2015 to December 2021 to identify all inpatient and emergency encounters with a primary diagnosis of injury. The proportion of encounters that also included a valid external cause-of-injury code is presented. RESULTS: Most health systems had high rates of cause-of-injury coding: over 85% in emergency departments and over 75% in inpatient encounters with primary injury diagnoses. However, several sites had lower rates in both settings. State mandates were associated with consistently high external cause recording. CONCLUSIONS: Completeness of cause-of-injury coding improved since the adoption of ICD-10-CM coding and increased slightly over the study period at most sites. However, significant variation remained, and completeness of cause-of-injury coding in any diagnosis data used for injury prevention planning should be empirically determined.

[Clinical Pathway for Suicide Risk Screening in Adult Primary Care Settings:Special Recommendations]. / Klinikai útvonal az öngyilkossági kockázat szurésére a felnott alapellátásban: Speciális ajánlások.

Suicide is a serious public health concern. On average, 80% of suicide decedents had contact with primary care within one year of their suicide. This and other research underscore the importance of screening for suicide risk within primary care settings, and implementation of suicide risk screening is already underway in many practices. However, while primary care practices may be familiar with screening for other mental health concerns (e.g., depression), many feel uncomfortable or unprepared for suicide risk screening. To meet the increasing demand for evidence-based suicide-risk screening guidance, we provide a clinical pathway for adult primary care practices (to include family medicine, internal medicine, women's health). The pathway was developed by experts with research, clinical expertise and experience in suicide risk screening and primary care. We also provide detailed guidance to aid primary care practices in their decisions about how to implement the clinical pathway.

Mis-implementation of evidence-based behavioural health practices in primary care: lessons from randomised trials in Federally Qualified Health Centers.

Background: Implementing evidence-based practices (EBPs) within service systems is critical to population-level health improvements - but also challenging, especially for complex behavioral health interventions in low-resource settings. "Mis-implementation" refers to poor outcomes from an EBP implementation effort; mis-implementation outcomes are an important, but largely untapped, source of information about how to improve knowledge exchange. Aims and objectives: We present mis-implementation cases from three pragmatic trials of behavioral health EBPs in U.S. Federally Qualified Health Centers (FQHCs). Methods: We adapted the Consolidated Framework for Implementation Research and its Outcomes Addendum into a framework for mis-implementation and used it to structure the case summaries with information about the EBP and trial, mis-implementation outcomes, and associated determinants (barriers and facilitators). We compared the three cases to identify shared and unique mis-implementation factors. Findings: Across cases, there was limited adoption and fidelity to the interventions, which led to eventual discontinuation. Barriers contributing to mis-implementation included intervention complexity, low buy-in from overburdened providers, lack of alignment between providers and leadership, and COVID-19-related stressors. Mis-implementation occurred earlier in cases that experienced both patient- and provider-level barriers, and that were conducted during the COVID-19 pandemic. Discussion and conclusion: Multi-level determinants contributed to EBP mis-implementation in FQHCs, limiting the ability of these health systems to benefit from knowledge exchange. To minimize mis-implementation, knowledge exchange strategies should be designed around common, core barriers but also flexible enough to address a variety of site-specific contextual factors and should be tailored to relevant audiences such as providers, patients, and/or leadership.

Population-Based Opioid Prescribing and Overdose Deaths in the USA: an Observational Study.

BACKGROUND: Rising opioid-related death rates have prompted reductions of opioid prescribing, yet limited data exist on population-level associations between opioid prescribing and opioid-related deaths. OBJECTIVE: To evaluate population-level associations between five opioid prescribing measures and opioid-related deaths. DESIGN: An ecological panel analysis was performed using linear regression models with year and commuting zone fixed effects. PARTICIPANTS: People ≥10 years aggregated into 886 commuting zones, which are geographic regions collectively comprising the entire USA. MAIN MEASURES: Annual opioid prescriptions were measured with IQVIA Real World Longitudinal Prescription Data including 76.5% (2009) to 90.0% (2017) of US prescriptions. Prescription measures included opioid prescriptions per capita, percent of population with ≥1 opioid prescription, percent with high-dose prescription, percent with long-term prescription, and percent with opioid prescriptions from ≥3 prescribers. Outcomes were age- and sex-standardized associations of change in opioid prescriptions with change in deaths involving any opioids, synthetics other than methadone, heroin but not synthetics or methadone, and prescription opioids, but not other opioids. KEY RESULTS: Change in total regional opioid-related deaths was positively correlated with change in regional opioid prescriptions per capita (ß=.110, p<.001), percent with ≥1 opioid prescription (ß=.100, p=.001), and percent with high-dose prescription (ß=.081, p<.001). Change in total regional deaths involving prescription opioids was positively correlated with change in all five opioid prescribing measures. Conversely, change in total regional deaths involving synthetic opioids was negatively correlated with change in percent with long-term opioid prescriptions and percent with ≥3 prescribers, but not for persons ≥45 years. Change in total regional deaths in heroin was not associated with change in any prescription measure. CONCLUSIONS: Regional decreases in opioid prescriptions were associated with declines in overdose deaths involving prescription opioids, but were also associated with increases in deaths involving synthetic opioids (primarily fentanyl). Individual-level inferences are limited by the ecological nature of the analysis.

Medical-encounter mental health diagnoses, non-fatal injury and polypharmacy indicators of risk for accident death in the US Army enlisted soldiers, 2004-2009.

Accidents are a leading cause of deaths in U.S. active duty personnel. Understanding accident deaths during wartime could facilitate future operational planning and inform risk prevention efforts. This study expands prior research, identifying health risk factors associated with U.S. Army accident deaths during the Afghanistan and Iraq war. Military records for 2004-2009 enlisted, active duty, Regular Army soldiers were analyzed using logistic regression modeling to identify mental health, injury, and polypharmacy (multiple narcotic and/or psychotropic medications) predictors of accident deaths for current, previously, and never deployed groups. Deployed soldiers with anxiety diagnoses showed higher risk for accident deaths. Over half had anxiety diagnoses prior to being deployed, suggesting anticipatory anxiety or symptom recurrence may contribute to high risk. For previously deployed soldiers, traumatic brain injury (TBI) indicated higher risk. Two-thirds of these soldiers had first TBI medical-encounter while non-deployed, but mild, combat-related TBIs may have been undetected during deployments. Post-Traumatic Stress Disorder (PTSD) predicted higher risk for never deployed soldiers, as did polypharmacy which may relate to reasons for deployment ineligibility. Health risk predictors for Army accident deaths are identified and potential practice and policy implications discussed. Further research could test for replicability and expand models to include unobserved factors or modifiable mechanisms related to high risk. PTSD predicted high risk among those never deployed, suggesting importance of identification, treatment, and prevention of non-combat traumatic events. Finally, risk predictors overlapped with those identified for suicides, suggesting effective intervention might reduce both types of deaths.

An Economic Evaluation of Coordinated Specialty Care (CSC) Services for First-Episode Psychosis in the U.S. Public Sector.

BACKGROUND: Schizophrenia spectrum disorders exert a large and disproportionate economic impact. Early intervention services may be able to alleviate the burden of schizophrenia spectrum disorders on diagnosed individuals, caregivers, and society at large. Economic analyses of observational studies have supported investments in specialized team-based care for early psychosis; however, questions remain regarding the economic viability of first-episode services in the fragmented U.S. healthcare system. The clinic for Specialized Treatment Early in Psychosis (STEP) was established in 2006, to explicitly model a nationally-relevant U.S. public-sector early intervention service. The purpose of this study was to conduct an economic evaluation of STEP, a Coordinated Specialty Care service (CSC) based in a U.S. State-funded community mental health center, relative to usual treatment (UT). METHODS: Eligible patients were within 5 years of psychosis onset and had no more than 12 weeks of lifetime antipsychotic exposure. Participants were randomized to STEP or UT. The annual per-patient cost of the STEP intervention per se was estimated assuming a steady-state caseload of 30 patients. A cost-offset analysis was conducted to estimate the net value of STEP from a third-party payer perspective. Participant healthcare service utilization was evaluated at 6 months and over the entire 12 months post randomization. Generalized linear model multivariable regressions were used to estimate the effect of STEP on healthcare costs over time, and generate predicted mean costs, which were combined with the per-patient cost of STEP. RESULTS: The annual per-patient cost of STEP was $1,984. STEP participants were significantly less likely to have any inpatient or ED visits; among individuals who did use such services in a given period, the associated costs were significantly lower for STEP participants at month 12. We did not observe a similar effect with regard to other healthcare services. The predicted average total costs were lower for STEP than UT, indicating a net benefit for STEP of $1,029 at month 6 and $2,991 at month 12; however, the differences were not statistically significant. CONCLUSIONS: Our findings are promising with regard to the value of STEP to third-party payers.

Associations of childhood bullying victimization with lifetime suicidal behaviors among new U.S. Army soldiers.

BACKGROUND: Prior studies have documented associations of childhood bullying victimization with suicidal behaviors. However, many failed to adjust for concomitant risk factors and none investigated this relationship in military personnel. This study aimed to estimate independent associations of childhood bullying victimization with suicidal behaviors among U.S. Army soldiers. METHODS: Soldiers reporting for basic training completed a cross-sectional survey assessing mental disorders, suicidal behaviors, and childhood adversities including two types of bullying victimization: (1) Physical Assault/Theft and (2) Bullying Comments/Behaviors. Associations of childhood bullying experiences with suicidal behaviors were estimated using discrete-time survival analysis of person-year data from 30,436 soldiers. Models adjusted for sociodemographic factors, childhood maltreatment by adults, and mental disorders. RESULTS: After comprehensive adjustment for other risk factors, more frequent Physical Assault/Theft by peers during childhood was associated with increased odds of lifetime suicidal ideation (adjusted odds ratio [AOR] = 1.18, 95% CI: 1.11-1.26, P < .001) and attempt (AOR = 1.30, 95% CI: 1.13-1.50, P < .001). More frequent Bullying Comments/Behaviors were associated with increased risk of ideation (AOR = 1.30, 95% CI: 1.26-1.35, P < .001), plan (AOR = 1.44, 95% CI: 1.35-1.54, P < .001), attempt (AOR = 1.24, 95% CI: 1.15-1.33, P < .001), and onset of plan among ideators (AOR = 1.09, 95% CI: 1.03-1.15, P = .002). Relative to no bullying victimization, exposure to the most persistent bullying was associated with two- to fourfold increase in risk for suicidal behaviors. CONCLUSIONS: Childhood bullying victimization is associated with lifetime suicidal behaviors among new soldiers. Exposure to Bullying Comments/Behaviors during childhood is associated with progression from suicidal ideation to plan. Improved recognition of these relationships may inform risk mitigation interventions for soldiers.

Suicide attempts in U.S. Army combat arms, special forces and combat medics.

BACKGROUND: The U.S. Army suicide attempt rate increased sharply during the wars in Iraq and Afghanistan. Risk may vary according to occupation, which significantly influences the stressors that soldiers experience. METHODS: Using administrative data from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS), we identified person-month records for all active duty Regular Army enlisted soldiers who had a medically documented suicide attempt from 2004 through 2009 (n = 9650) and an equal-probability sample of control person-months (n = 153,528). Logistic regression analyses examined the association of combat occupation (combat arms [CA], special forces [SF], combat medic [CM]) with suicide attempt, adjusting for socio-demographics, service-related characteristics, and prior mental health diagnosis. RESULTS: In adjusted models, the odds of attempting suicide were higher in CA (OR = 1.2 [95% CI: 1.1-1.2]) and CM (OR = 1.4 [95% CI: 1.3-1.5]), but lower in SF (OR = 0.3 [95% CI: 0.2-0.5]) compared to all other occupations. CA and CM had higher odds of suicide attempt than other occupations if never deployed (ORs = 1.1-1.5) or previously deployed (ORs = 1.2-1.3), but not when currently deployed. Occupation was associated with suicide attempt in the first ten years of service, but not beyond. In the first year of service, primarily a time of training, CM had higher odds of suicide attempt than both CA (OR = 1.4 [95% CI: 1.2-1.6]) and other occupations (OR = 1.5 [95% CI: 1.3-1.7]). Discrete-time hazard functions revealed that these occupations had distinct patterns of monthly risk during the first year of service. CONCLUSIONS: Military occupation can inform the understanding suicide attempt risk among soldiers.

Association Between Academic Medical Center Pharmaceutical Detailing Policies and Physician Prescribing.

IMPORTANCE: In an effort to regulate physician conflicts of interest, some US academic medical centers (AMCs) enacted policies restricting pharmaceutical representative sales visits to physicians (known as detailing) between 2006 and 2012. Little is known about the effect of these policies on physician prescribing. OBJECTIVE: To analyze the association between detailing policies enacted at AMCs and physician prescribing of actively detailed and not detailed drugs. DESIGN, SETTING, AND PARTICIPANTS: The study used a difference-in-differences multivariable regression analysis to compare changes in prescribing by physicians before and after implementation of detailing policies at AMCs in 5 states (California, Illinois, Massachusetts, Pennsylvania, and New York) that made up the intervention group with changes in prescribing by a matched control group of similar physicians not subject to a detailing policy. EXPOSURES: Academic medical center implementation of policies regulating pharmaceutical salesperson visits to attending physicians. MAIN OUTCOMES AND MEASURES: The monthly within-drug class market share of prescriptions written by an individual physician for detailed and nondetailed drugs in 8 drug classes (lipid-lowering drugs, gastroesophageal reflux disease drugs, diabetes drugs, antihypertensive drugs, hypnotic drugs approved for the treatment of insomnia [sleep aids], attention-deficit/hyperactivity disorder drugs, antidepressant drugs, and antipsychotic drugs) comparing the 10- to 36-month period before implementation of the detailing policies with the 12- to 36-month period after implementation, depending on data availability. RESULTS: The analysis included 16 121 483 prescriptions written between January 2006 and June 2012 by 2126 attending physicians at the 19 intervention group AMCs and by 24 593 matched control group physicians. The sample mean market share at the physician-drug-month level for detailed and nondetailed drugs prior to enactment of policies was 19.3% and 14.2%, respectively. Exposure to an AMC detailing policy was associated with a decrease in the market share of detailed drugs of 1.67 percentage points (95% CI, -2.18 to -1.18 percentage points; P < .001) and an increase in the market share of nondetailed drugs of 0.84 percentage points (95% CI, 0.54 to 1.14 percentage points; P < .001). Associations were statistically significant for 6 of 8 study drug classes for detailed drugs (lipid-lowering drugs, gastroesophageal reflux disease drugs, antihypertensive drugs, sleep aids, attention-deficit/hyperactivity disorder drugs, and antidepressant drugs) and for 9 of the 19 AMCs that implemented policies. Eleven of the 19 AMCs regulated salesperson gifts to physicians, restricted salesperson access to facilities, and incorporated explicit enforcement mechanisms. For 8 of these 11 AMCs, there was a significant change in prescribing. In contrast, there was a significant change at only 1 of 8 AMCs that did not enact policies in all 3 areas. CONCLUSIONS AND RELEVANCE: Implementation of policies at AMCs that restricted pharmaceutical detailing between 2006 and 2012 was associated with modest but significant reductions in prescribing of detailed drugs across 6 of 8 major drug classes; however, changes were not seen in all of the AMCs that enacted policies.

Predictive Modeling and Concentration of the Risk of Suicide: Implications for Preventive Interventions in the US Department of Veterans Affairs.

OBJECTIVES: The Veterans Health Administration (VHA) evaluated the use of predictive modeling to identify patients at risk for suicide and to supplement ongoing care with risk-stratified interventions. METHODS: Suicide data came from the National Death Index. Predictors were measures from VHA clinical records incorporating patient-months from October 1, 2008, to September 30, 2011, for all suicide decedents and 1% of living patients, divided randomly into development and validation samples. We used data on all patients alive on September 30, 2010, to evaluate predictions of suicide risk over 1 year. RESULTS: Modeling demonstrated that suicide rates were 82 and 60 times greater than the rate in the overall sample in the highest 0.01% stratum for calculated risk for the development and validation samples, respectively; 39 and 30 times greater in the highest 0.10%; 14 and 12 times greater in the highest 1.00%; and 6.3 and 5.7 times greater in the highest 5.00%. CONCLUSIONS: Predictive modeling can identify high-risk patients who were not identified on clinical grounds. VHA is developing modeling to enhance clinical care and to guide the delivery of preventive interventions.

APPROXIMATING A DSM-5 DIAGNOSIS OF PTSD USING DSM-IV CRITERIA.

BACKGROUND: Diagnostic criteria for DSM-5 posttraumatic stress disorder (PTSD) are in many ways similar to DSM-IV criteria, raising the possibility that it might be possible to closely approximate DSM-5 diagnoses using DSM-IV symptoms. If so, the resulting transformation rules could be used to pool research data based on the two criteria sets. METHODS: The pre-post deployment study (PPDS) of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) administered a blended 30-day DSM-IV and DSM-5 PTSD symptom assessment based on the civilian PTSD Checklist for DSM-IV (PCL-C) and the PTSD Checklist for DSM-5 (PCL-5). This assessment was completed by 9,193 soldiers from three US Army Brigade Combat Teams approximately 3 months after returning from Afghanistan. PCL-C items were used to operationalize conservative and broad approximations of DSM-5 PTSD diagnoses. The operating characteristics of these approximations were examined compared to diagnoses based on actual DSM-5 criteria. RESULTS: The estimated 30-day prevalence of DSM-5 PTSD based on conservative (4.3%) and broad (4.7%) approximations of DSM-5 criteria using DSM-IV symptom assessments were similar to estimates based on actual DSM-5 criteria (4.6%). Both approximations had excellent sensitivity (92.6-95.5%), specificity (99.6-99.9%), total classification accuracy (99.4-99.6%), and area under the receiver operating characteristic curve (0.96-0.98). CONCLUSIONS: DSM-IV symptoms can be used to approximate DSM-5 diagnoses of PTSD among recently deployed soldiers, making it possible to recode symptom-level data from earlier DSM-IV studies to draw inferences about DSM-5 PTSD. However, replication is needed in broader trauma-exposed samples to evaluate the external validity of this finding.

Lifetime prevalence of DSM-IV mental disorders among new soldiers in the U.S. Army: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

BACKGROUND: The prevalence of 30-day mental disorders with retrospectively reported early onsets is significantly higher in the U.S. Army than among socio-demographically matched civilians. This difference could reflect high prevalence of preenlistment disorders and/or high persistence of these disorders in the context of the stresses associated with military service. These alternatives can to some extent be distinguished by estimating lifetime disorder prevalence among new Army recruits. METHODS: The New Soldier Study (NSS) in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) used fully structured measures to estimate lifetime prevalence of 10 DSM-IV disorders in new soldiers reporting for Basic Combat Training in 2011-2012 (n = 38,507). Prevalence was compared to estimates from a matched civilian sample. Multivariate regression models examined socio-demographic correlates of disorder prevalence and persistence among new soldiers. RESULTS: Lifetime prevalence of having at least one internalizing, externalizing, or either type of disorder did not differ significantly between new soldiers and civilians, although three specific disorders (generalized anxiety, posttraumatic stress, and conduct disorders) and multimorbidity were significantly more common among new soldiers than civilians. Although several socio-demographic characteristics were significantly associated with disorder prevalence and persistence, these associations were uniformly weak. CONCLUSIONS: New soldiers differ somewhat, but not consistently, from civilians in lifetime preenlistment mental disorders. This suggests that prior findings of higher prevalence of current disorders with preenlistment onsets among soldiers than civilians are likely due primarily to a more persistent course of early-onset disorders in the context of the special stresses experienced by Army personnel.

Prevalence and correlates of suicidal behavior among new soldiers in the U.S. Army: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

BACKGROUND: The prevalence of suicide among U.S. Army soldiers has risen dramatically in recent years. Prior studies suggest that most soldiers with suicidal behaviors (i.e., ideation, plans, and attempts) had first onsets prior to enlistment. However, those data are based on retrospective self-reports of soldiers later in their Army careers. Unbiased examination of this issue requires investigation of suicidality among new soldiers. METHOD: The New Soldier Study (NSS) of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) used fully structured self-administered measures to estimate preenlistment histories of suicide ideation, plans, and attempts among new soldiers reporting for Basic Combat Training in 2011-2012. Survival models examined sociodemographic correlates of each suicidal outcome. RESULTS: Lifetime prevalence estimates of preenlistment suicide ideation, plans, and attempts were 14.1, 2.3, and 1.9%, respectively. Most reported onsets of suicide plans and attempts (73.3-81.5%) occurred within the first year after onset of ideation. Odds of these lifetime suicidal behaviors among new soldiers were positively, but weakly associated with being female, unmarried, religion other than Protestant or Catholic, and a race/ethnicity other than non-Hispanic White, non-Hispanic Black, or Hispanic. CONCLUSIONS: Lifetime prevalence estimates of suicidal behaviors among new soldiers are consistent with retrospective reports of preenlistment prevalence obtained from soldiers later in their Army careers. Given that prior suicidal behaviors are among the strongest predictors of later suicides, consideration should be given to developing methods of obtaining valid reports of preenlistment suicidality from new soldiers to facilitate targeting of preventive interventions.

Collaborating to heal addiction and mental health in primary care (CHAMP): A protocol for a hybrid type 2a trial.

BACKGROUND: The gold-standard treatment for opioid use disorder (OUD) is medication for OUD (MOUD). However, less than a quarter of people with OUD initiate MOUD. Expanding the Collaborative Care Model (CoCM) to include primary care patients with OUD could improve access to and initiation of MOUD. This paper presents the methods and baseline sample characteristics of a Hybrid Type 2a trial comparing the effectiveness of CoCM for OUD and co-occurring mental health symptoms (MHS) to CoCM for MHS only. METHOD: 42 primary care clinics were cluster randomized and 254 primary care patients with OUD and elevated MHS were enrolled. Recruitment was terminated early by the Data and Safety Monitoring Board for futility. Participants completed research assessments at baseline, 3 months, and 6 months. The multiple primary outcomes were past-month number of days of nonmedical opioid use and SF12 Mental Health Component Summary (MCS) scores. RESULTS: MCS scores were over a standard deviation below the national mean (M = 34.5). Nearly half (47.6 %) of participants had previously overdosed in their lifetimes. Three quarters (76.0 %) were already being prescribed MOUD at baseline, only 30.4 % reported non-medical use of opioids, and only 33.9 % reported being bothered by opioid cravings. CONCLUSION: The unexpectedly high proportion of enrollees already prescribed MOUD at baseline indicates that most patients were in the maintenance rather than acute phase of treatment. Challenges identifying and enrolling patients in the acute phase of OUD treatment implies that intervention effectiveness will depend on its success preventing the discontinuation of MOUD rather than initiating MOUD.