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To identify critical periods for just-in-time adaptive interventions (JITAIs), we measured time-varying correlates of drinking (e.g., stress, mood) daily to predict near-term alcohol use. Emerging adults (aged 17-24; n=51) who reported past-month alcohol use used SARA, an app use designed to assess substance use, for 30 days. Participants completed daily process measures of stress, mood, hopefulness, free time, fun, and loneliness. Candidate variables for prediction of next-day drinking included a contextual factor (day of the week), between-person factors (age, sex), and within-person factors (daily process measure responses) as well as daily process measure noncompletion. We compared two approaches to predict next-day use. From the daily process measure responses, Approach 1 used the current day’s survey responses; whereas, Approach 2 used the deviation of daily responses from the participant’s average response in prior days. Backward model selection identified candidate variables to include in the logistic model. Each model’s discriminatory power was determined using the area under the curve (AUC). Toward identifying critical periods for interventions, decision rules for when next day alcohol use was likely are reported for the better performing approach. Approach 1 included day of the week, hopefulness, stress, and participant sex (AUC=0.76). Approach 2 included day of the week, and deviation in hopefulness rating (AUC=0.71). Decisional cutpoints are provided for the better performing model. Approach 1 provided better prediction than Approach 2. Decisional tools for identification of near-term alcohol use in emerging adults opens the door for JITAIs to reduce drinking and prevent consequences of use.

OBJECTIVE: Same day use of alcohol and cannabis is prevalent among emerging/young adults and increases the risk for negative consequences. Although motives for alcohol and cannabis use are well-documented, specific motives on co-use days are under-investigated. We examined differences in motives on single substance use (i.e., alcohol or cannabis) versus co-use days in a sample of primarily cannabis-using emerging/young adults. METHODS: Participants (N=97) aged 18–25 (M(age)=22.2) were recruited from an urban Emergency Department (55.7% female, 46.4% African American, 57.7% public assistance) for a prospective daily diary study about risk behaviors. Participants received prompts for 28 daily text message assessments (up to 2716 surveys possible) of substance use and motives (social, enhancement, coping, conformity). We divided use days into three groups: alcohol use only (n=126), cannabis use only (n=805), and co-use (n=237). Using fixed effects regression modeling, we fit models to estimate within-person effects of alcohol and cannabis motives on day type (alcohol/cannabis co-use versus single use). RESULTS: In adjusted models, greater cannabis-related enhancement and social motives were associated with increased likelihood of co-use days compared to cannabis-only days. In contrast, greater alcohol-related social motives were associated with co-use days versus alcohol-only days in unadjusted, but not in adjusted models. CONCLUSIONS: Findings suggest that cannabis use motives associated with increasing positive affect may be most compelling for those engaging in alcohol/cannabis use on a given day. Intervention programs for alcohol/cannabis use should address alcohol and cannabis use motives in relation to increasing positive affect and engaging in social situations.

Same-day alcohol and cannabis use is relatively common in adolescents and young adults, constituting a higher-risk behavior relative to single-substance use. However, the association between quantity of alcohol and cannabis use on co-use days is understudied. We examined the association between the quantity of alcohol and same-day cannabis use with a multilevel regression analysis in a sample of youth (16-24 years old) with risky alcohol use. Participants reported one or more days of alcohol and cannabis over the past month (N = 468). Quantity of cannabis use was highest on heavy drinking days [M = 0.91 grams, SD = 0.68] followed by moderate drinking days (M = 0.78 grams, SD = 0.63), and lowest on days without alcohol use (M = 0.74 grams, SD = 0.64, p < 0.001). In multilevel modeling analyses, adjusted for clustering within individuals, greater quantity of drinking on a given day was associated with greater cannabis use (estimate = 0.03, p < 0.001). When using alcohol and cannabis on the same day, greater alcohol use was associated with greater cannabis use. Preventing days of heavy use of multiple substances, particularly among at-risk drinkers, may complement interventions addressing co-use generally to prevent substance-related consequences.

Background and objectivesYouth violence is an alarming public health problem, yet, violence screening and interventions are not systematically offered in primary care (PC). This paper describes data from a pilot effectiveness-implementation trial of an efficacious youth violence prevention programme (SafERteens).MethodsThe study was conducted in two PC clinics: a university-affiliated satellite clinic and a community health centre. In phase 1, we obtained stakeholder feedback to customise the SafERteens package and enrolled a comparison group of adolescents (age 14–18) seeking care in two clinics. In phase 2, clinical staff delivered the SafERteens-PC intervention with adolescents, which is a single, behavioural health therapy session delivered one-on-one from clinic providers to youth patients, followed by text message (TM) reminders. In phase 3, we assessed planned maintenance. All participants reported past-year violent behaviour at intake and completed a 3-month follow-up assessment.ResultsBased on stakeholder interviews (n=13), we created a web-based SafERteens-PC programme package, including a three-item past-year violence screen, 30 min motivational interviewing-based brief intervention delivery tool, training videos and 2 months of TM boosters. We enrolled a comparison group (n=49) first, then an intervention group (n=61). Intervention delivery characteristics varied by clinic, including completion of intervention (75.9%; 62.5%), modality (100% delivered via telehealth; 60% via telehealth/40% in-person) and enrolment in TMs (81.8%; 55.0%); 91.8% completed the follow-up. Using an intention-to-treat approach, the intervention group showed significantly greater reductions in severe peer aggression (pConclusionsIf these challenges could be addressed, routine provision of behavioural health services for violence prevention in PC could have high impact on health outcomes for adolescents.

Background Alcohol misuse is a major health concern among military members. Reserve component members face unique barriers as they live off base with limited access to behavioral health services. Web and app-based brief interventions are a promising means to improve access to treatment for those who misuse alcohol, with the use of booster sessions to enhance effectiveness, solidify gains, and reinforce changes. However, little is known about who will engage in booster sessions. Objective This study aims to evaluate booster engagement across booster delivery modalities (Web and Peer) and identify participant-specific factors associated with booster session engagement. Methods Following a brief web-based alcohol misuse intervention in National Guard members (N=739), we examined engagement in a series of three booster sessions. Using unadjusted and adjusted models, demographic and clinical characteristics that may serve as predictors of booster session engagement were examined across the 2 arms of the trial with different types of booster sessions: peer-delivered (N=245) and web-delivered (N=246). Results Booster session completion was greater for Peer than Web Booster sessions, with 142 (58%) service members in the Peer Booster arm completing all three boosters compared with only 108 (44%) of participants in the Web Booster arm (χ23=10.3; P=.006). In a model in which the 2 groups were combined, socioeconomic factors predicted booster engagement. In separate models, the demographic and clinical predictors of booster engagement varied between the 2 delivery modalities. Conclusions The use of peer-delivered boosters, especially among subsets of reserve members at risk of lack of engagement, may foster greater uptake and improve treatment outcomes. Trial Registration ClinicalTrials.gov NCT02181283; https://clinicaltrials.gov/ct2/show/NCT02181283

Cannabis-using youth are a large epidemiologic subgroup whose age and smoking-related risks underscore the importance of examining the impact of the COVID-19 pandemic in this population. Within a clinical trial (n = 36 received an intervention prior to data collection reported herein), we surveyed cannabis-using emerging adults (ages 18–25) about perceived COVID-19 impacts. Participants (n = 141) reporting weekly cannabis use (M = 18.6 use days in the past 30) were enrolled and completed online surveys as part of either their baseline or 3 month assessment. COVID-19-related measures included symptoms, substance use, mood, etc. Participants were 57% female (mean age = 21, standard deviation = 2.2), with 21% Hispanic/Latinx, 70% White, 20% Black/African American, and 10% of other races. Most participants (86%) reported quarantine/self-isolation (M = 59 days). Several had COVID-19 symptoms (16%), but none reported testing COVID-19 positive. Many respondents felt their cannabis use (35%–50%, across consumption methods) and negative emotions (e.g., loneliness, stress, and depression; 69.5%, 69.5%, and 61.8%, respectively) increased. They reported decreased in-person socialization (90.8%) and job losses (23.4%). Reports of increased cannabis smoking were associated with increased negative emotions. On an open-response item, employment/finances and social isolation were frequently named negative impacts (33.3% and 29.4%, respectively). Although cannabis-using emerging adults’ reports of increases in cannabis use, coupled with mental health symptoms and social isolation, are concerning, the full impact of the pandemic on their health and well-being remains unknown. Future studies examining the relationship between social isolation, mental health, and cannabis use among young people are needed.

“Stealthing” is a form of sexual violence wherein a sexual partner purposefully removes a condom during penetration without the receptive partner’s knowledge. Given the role of substance use in sexual violence broadly, we examined demographic and substance use correlates of stealthing perpetration (SP) and victimization (SV) among emerging adults. Participants comprised 2,550 18- to 25-year-olds ( M age = 20.8, SD = 2.3), recruited via social media (48% female; 53.9% non-Hispanic White; 46.0% had another racial/ethnic identity; 67.4% heterosexual; 85.3% had some college education). Unadjusted analyses ( t tests, χ2 analysis) and adjusted logistic regression analyses examined associations between demographics (age, education, race/ethnicity, sexual orientation) and substance use (binge drinking, marijuana use, other illegal drug use, and prescription drug misuse) with male SP and male and female SV. Five percent of males and 18.9% of females reported SV; 6.1% of males reported SP. In adjusted analyses, significant correlates of SP were: non-Hispanic White race/ethnicity (odds ratio [OR] = 0.39), binge drinking (OR = 1.39), cannabis use (OR = 1.37), and other drug use (OR = 1.43). Significant correlates of male SV were: non-Hispanic White race/ethnicity (OR = 0.28), non-heterosexual orientation (OR = 0.24), binge drinking (OR = 1.49), and other illegal drug use (OR = 1.79). Significant correlates of female SV were: older age (OR = 1.13), non-Hispanic White race/ethnicity (OR = 0.57), binge drinking (OR = 1.28), cannabis use (OR = 1.29), and other drug use (OR = 1.22). Consistent with literature linking alcohol to sexual violence, binge drinking correlated with both SV and SP, with other substance use also playing a role. Data are needed to explore these relationships using longitudinal, event-level assessments to investigate the influence of acute intoxication. Interventions to reduce sexually transmitted infections, unintended pregnancy, and sexual assault should include content on stealthing and substance use.

BACKGROUND AND AIMS: Despite their high comorbidity, the effects of brief interventions (BI) to reduce cannabis use, alcohol use, and anxiety symptoms have received little empirical attention. The aims of this study were to examine whether a therapist-delivered BI (TBI) or computer-guided BI (CBI) to address drug use, alcohol consumption (when relevant) and HIV risk behaviors, relative to enhanced usual care (EUC), was associated with reductions in parallel trajectories of alcohol use, cannabis use, and anxiety symptoms, and whether demographic characteristics moderated reductions over time. DESIGN: Latent growth curve modeling was used to examine joint trajectories of alcohol use, cannabis use, and anxiety symptoms assessed at 3-, 6-, and 12-months after baseline enrollment. SETTING: Hurley Medical Center Emergency Department (ED) in Flint, Michigan, USA. PARTICIPANTS: The sample was 780 drug-using adults (18–60 years old; 56% female; 44% White) randomly assigned to receive either a TBI, CBI, or EUC through the HealthiER You study. INTERVENTIONS AND COMPARATOR: ED-delivered TBI and CBIs involved touchscreen-delivered and audio-assisted content. The TBI was administered by a Master’s-level therapist, whereas the CBI was self-administered using a virtual health counselor. EUC included a review of health resources brochures in the ED. MEASUREMENTS: Assessments of alcohol use (10-item Alcohol Use Disorders Identification Test), cannabis use (past 30-day frequency) and anxiety symptoms (Brief Symptom Inventory-18) occurred at baseline, and 3-, 6-, and 12-month follow-up. FINDINGS: TBI, relative to EUC, was associated with significant reductions in cannabis use (B=−.49, SE=.20, p

Risk and protective factors for firearm assault (FA) have been established, but little is known about factor preceding transitions in FA behavior. We modeled covariate effects on individuals’ transitions in FA behavior (Yes/No) using inhomogeneous, continuous-time, Markov Chains. 3287 assessments were made across five initial biannual follow-ups, and two additional biannual follow-ups (an average of 2.2 years later) from a follow-on study; 2687 pairs of transitions were observed (2414 No-FA → No-FA; 89 No-FA → FA; 121 FA → No-FA; 63 FA → FA). Non-firearm peer violence (HR = 2.31, 95% CI [1.28,4.21]), firearm victimization (HR = 2.57, 95% CI [1.31,5.04]), and marijuana ASSIST sum (HR = 1.27, 95% CI [1.05,1.54]) all preceded transitions into FA, but not transitions out of FA. Delinquent peer associations both hastened transitions into FA (HR = 1.19, 95% CI [1.00,1.40]) and slowed transitions out of FA (HR = 0.84, 95% CI:[0.72,1.00]), with analogous findings regarding attitudes favoring retaliation. Efforts to prevent FA initiation should focus on those currently reporting firearm violence victimization, and on factors indicating an escalating delinquency trajectory (e.g. non-firearm violence, substance use), while programs focusing on peer influences and social norms may be effective at preventing FA regardless of current FA status.

Intentional and unintentional firearm injury is the second leading cause of death for youth, underscoring the need for effective primary prevention approaches that focus on increasing safe storage by caregivers and decreasing handling/carriage among youth. This article describes the state of the science for prevention of firearm injuries among children and adolescents. We applied PRISMA guidelines to present results from a scoping review using PubMed, Scopus, CINAHL, and CJ Abstracts for original research articles published between January 1, 1985 and March 1, 2018 in the U.S. focusing on primary screening or interventions for primary prevention of pediatric firearm injuries. In total, 46 articles met inclusion criteria: safe storage (23), screening (2), firearm handling/carriage/use (21). Across school, healthcare, and community settings, few evidenced-based programs exist, and data on firearm safety technologies are lacking. Programs have generally not employed rigorous designs, and/or assessed behavioral (e.g., carriage) or injury-related firearm outcomes. Evidenced-based prevention programs are needed to mitigate firearm morbidity and mortality among youth.

OBJECTIVE: To examine the efficacious components of a computer-delivered brief intervention (CBI) for reducing marijuana use among adults presenting to a low-income urban emergency department (ED), which a prior report found to decrease marijuana use at a 6-month follow-up. METHOD: Participants were 237 ED patients reporting recent drug use (46% male; 54% African-American; mean age, 30.7) who were randomized to receive a CBI consisting of an interactive program guided by a virtual health counselor. The primary outcome was past 30-day marijuana use at 6-month follow-up assessed using the Timeline Follow-Back (TLFB). Intervention components related to change in marijuana use at 6 month follow-up examined in the current study included participant responses to items within five CBI domains that were rooted in motivational interviewing: goals for change, strengths, evoking-change (concerns about use and benefits of change), challenges, and tools for change. RESULTS: The evoking-change domain was related to significant reductions in marijuana use at 6 months (B=−2.91, SE=1.10, p

Physical aggression (towards partners or non-partners) is common among patients in treatment for substance use disorders (SUDs), including among Veteran samples; however, few treatment programs provide adjunct intervention approaches targeting reduction or prevention of aggression. The primary objectives of this comparative efficacy study were to examine the impact of adjunct aggression interventions delivered during treatment on aggression and substance use outcomes, including: a) an acute treatment phase 6-session integrated Motivational Interviewing-Cognitive Behavioral Treatment intervention (MI-CBT) for aggression and substance use prevention, b) MI-CBT plus a 12-week telephone-based Continuing Care (MI-CBT + CC) intervention, and c) an acute phase single session control condition [including some discussion of violence prevention and local violence prevention resources (Enhanced Treatment as Usual (E-TAU))]. Participants (N = 180; 165 males and 15 females) were Veterans with SUD problems and past-year severe aggression who were randomized to one of three conditions: MI-CBT, MI-CBT + CC, or E-TAU. Primary 12-month outcomes included physical aggression and injury to partners, non-partners, and total aggression (collapsing across partner and non-partner relationships). Substance use outcomes included heavy drinking, marijuana use, cocaine use, and overall illicit substance use. Due to low representation in the sample (n = 4 women in each group at follow-up), women were excluded from primary analyses. According to unadjusted analyses of male participants, all groups showed similar significant declines in aggression over time, with the MI-CBT and MI-CBT + CC groups showing significant reductions in more substance use outcomes (heavy drinking, cocaine use, overall illicit drug use) than the E-TAU group. The only significant group x time interaction was for partner physical aggression by men (those in the MI-CBT + CC group showed a significantly greater decrease from baseline to follow-up). Also, neither the MI-CBT nor MI-CBT + CC groups reported any injuring of partners during the follow-up. For heavy drinking, cocaine, marijuana and overall illicit drug use, there were significant reductions over time, but no group by time interaction effects. The findings illustrate significant reductions in aggression and substance use over time for those involved in VA SUD treatment, and a potential modest benefit of additional integrated treatment approaches (MI-CBT, MI-CBT + CC) on reducing aggression. Future studies should examine dissemination efforts in the VA, cost-effectiveness, and moderators of outcome.

Background Driving under the influence of cannabis (DUIC) is a public health concern among those using medical cannabis. Understanding behaviors contributing to DUIC can inform prevention efforts. We evaluated three past 6-month DUIC behaviors among medical cannabis users with chronic pain. Methods Adults (N = 790) seeking medical cannabis certification or recertification for moderate/severe pain were recruited from February 2014 through June 2015 at Michigan medical cannabis clinics. About half of participants were male (52%) and 81% were White; their Mean age was 45.8 years. Participants completed survey measures of DUIC (driving within 2 h of use, driving while “a little high,” and driving while “very high”) and background factors (demographics, alcohol use, etc.). Unadjusted and adjusted logistic regressions were used to examine correlates of DUIC. Results For the past 6 months, DUIC within 2 h of use was reported by 56.4% of the sample, DUIC while a “little high” was reported by 50.5%, and “very high” was reported by 21.1%. Greater cannabis quantity consumed and binge drinking were generally associated with DUIC behaviors. Higher pain was associated with lower likelihood of DUIC. Findings vary somewhat across DUIC measures. Conclusions The prevalence of DUIC is concerning, with more research needed on how to best measure DUIC. Prevention messaging for DUIC may be enhanced by addressing alcohol co-consumption.

Aims Alcohol-related blackouts can result in acute injuries and other negative outcomes. Among underage risky drinkers, we examined longitudinal trajectories of blackout frequency following an emergency department (ED) visit, and identified baseline characteristics associated with blackout trajectory membership. Methods Participants (ages 14–20; N = 836) attending an ED who screened positive for risky drinking and enrolled in a randomized-controlled trial of brief alcohol interventions were assessed at baseline, 3-, 6-, and 12-months. We used group-based trajectory modeling to determine characteristic trajectories of blackout frequency over 12-months in relation to baseline characteristics: demographics, substance use, delinquency, depression/anxiety symptoms, sexual assault, dating violence, and peer and sibling influences. Results We identified four groups: No/Low blackouts (n = 248; 29.7%), Declining blackouts (n = 92; 11.0%), Moderate blackouts (n = 337; 40.3%) and High blackouts (n = 159; 19.0%); group membership did not differ based on intervention receipt. In adjusted analyses, compared to the No/Low group all other groups had higher odds of having an alcohol-related baseline ED visit. Female sex, alcohol consumption, prescription drug misuse, sexual assault while incapacitated due to substances, and negative peer influences were positively associated with membership in the High group; College/Greek life involvement was also highest. Negative peer influences and being in high school (vs. College/Greek life) also distinguished the Moderate group. Conclusion Blackout frequency was largely stable over time and riskier trajectories were marked by risk factors such as negative peer influences and college/Greek life involvement. Findings may inform targeted interventions, particularly for women who were in higher risk trajectories.

Background Youth violence is a leading cause of adolescent mortality, underscoring the need to integrate evidence-based violence prevention programs into routine emergency department (ED) care. Objectives To examine the translation of the SafERteens program into clinical care. Methods Hospital staff provided input on implementation facilitators/barriers to inform toolkit development. Implementation was piloted in a four-arm effectiveness-implementation trial, with youth (ages 14–18 years) screening positive for past 3-month aggression randomized to either SafERteens (delivered remotely or in-person) or enhanced usual care (EUC; remote or in-person), with follow-up at post-test and 3 months. During maintenance, ED staff continued in-person SafERteens delivery and external facilitation was provided. Outcomes were measured using the RE-AIM implementation framework. Results SafERteens completion rates were 77.6% (52/67) for remote and 49.1% (27/55) for in-person delivery. In addition to high acceptability ratings (e.g., helpfulness), post-test data demonstrated increased self-efficacy to avoid fighting among patients receiving remote (incidence rate ratio [IRR] 1.22, 95% confidence interval [CI] 1.09–1.36) and in-person (IRR 1.23, 95% CI 1.12–1.36) SafERteens, as well as decreased pro-violence attitudes among patients receiving remote (IRR 0.83, 95% CI 0.75–0.91) and in-person (IRR 0.87, 95% CI 0.77–0.99) SafERteens when compared with their respective EUC groups. At 3 months, youth receiving remote SafERteens reported less non-partner aggression (IRR 0.52, 95% CI 0.31–0.87, Cohen's d −0.39) and violence consequences (IRR 0.47, 95% CI 0.22–1.00, Cohen's d −0.49) compared with remote EUC; no differences were noted for in-person SafERteens delivery. Barriers to implementation maintenance included limited staff availability and a lack of reimbursement codes. Conclusions Implementing behavioral interventions such as SafERteens into routine ED care is feasible using remote delivery. Policymakers should consider reimbursement for violence prevention services to sustain long-term implementation.

Statement of purpose Estimate frequency of drug use disorder (DUD), multiple substance co-diagnosis network characteristics, and predictors of DUD among youth entering an urban emergency department (ED). Methods/Approach Drug-using youth age 14–24 (n=599; 349 assault-injured) presenting to a Level-1 ED were recruited. Participants were contacted at baseline and at 6-, 12-, 18-, and 24- months post-baseline and administered validated measures of peer/parental behaviors, violence/crime exposure, drug use self-efficacy, and alcohol use. Participants were administered the MINI neuropsychiatric interview to diagnose use disorder (abuse/dependence) with nine substances. Dependencies between co-DUD diagnosis were estimated using Ising network models. Repeated measures logistic regression models were used to determine predictors of DUD. Results Among 2,630 assessments, 1,128 (42.9%) were DUD diagnoses; 21.7% were co-diagnoses with multiple drugs. Cannabis use disorder was the most frequent diagnosis (n=1,050), with the cannabis/prescription sedative combination the most common co-diagnosis (n=112). The cocaine/prescription opioid combination showed the strongest partial correlation and was the most central element in the network. Regression models show positive peer behaviors and parental support to be protective factors for DUD diagnosis, while interpersonal violence exposure, community violence/crime exposure, alcohol use quantity, other mental health diagnoses, and drug use self-efficacy were DUD risk factors. Conclusions DUD is prevalent in this population and associated with personal, social, and community exposures. Among those with DUD, diagnosis with multiple drug use disorders was common; network analyses showed several large partial correlations between substances, with cocaine and prescription opioid use disorder co-diagnosis being the most strongly associated. Significance DUD is linked to a variety of injuries including suicide, partner violence, firearm violence, death by homicide, and violence/injury in general. Understanding the relationship between co-occurring DUDs and associated risk factors allow for targeted intervention strategies.

Statement of purpose To use longitudinal data collected from youth presenting to an urban emergency department to determine predictors of within-person changes in alcohol and prescription opioid same day use frequency. Methods/Approach Research assistants recruited youth age 14–24 reporting past-six-month substance use into the Flint Youth Injury study from 11/2009–9/2011 (n=599; 349 violently-injured at baseline). Participants self-administered validated measures of alcohol use severity, cannabis use severity, mental health symptoms, social support/influences, and violent injury at baseline and four biannual follow-ups. In addition, participants completed Time Line Follow Back calendars (baseline: 30-days; follow-ups: 90-days) which allowed ascertainment of same day use of alcohol and prescription opioids. We calculated the prevalence of same day alcohol and prescription opioid at each follow-up, and used negative binomial regression with person-level fixed effects to isolate within-person predictor effects on same-day use frequency. Results Between 2.0% (baseline) and 5.7% (18-month follow-up) of youth reported same-day use of alcohol and prescription opioids across follow-ups, with 19.9% reporting same-day use in at least one follow-up. Within-person increases in alcohol use severity, cannabis use severity, and depression and anxiety symptoms all corresponded to increases in same day alcohol and prescription opioid use frequency. Increased exposure to positive peer influences, and decreased exposure to delinquent peers, both coincided with lower same day alcohol and prescription opioid use frequency. Conclusions Same day use of alcohol and prescription opioids is common in this population, and within-person changes are predictable. Interrupting worsening trajectories of substance use severity and mental health symptoms, and enhancing social support and reducing delinquent peer exposures, may reduce same day use frequency. Significance Co-use of alcohol and prescription opioids dramatically increases acute risks (e.g., overdose) associated with each; understanding within-person predictors of same day use may point to catalysts for behavior change.

Statement of purposePreventing opioid misuse and opioid use disorder (OUD) is necessary given the opioid epidemic Prevention programs for adolescents/young adults are needed to alter risk trajectories We developed interventions using telemedicine (synchronous video conference) and a patient portal-like messaging system to address risk factors for opioid misuse/OUD among young Emergency Department (ED) patients Our presentation describes these promising interventions and their feasibility and acceptability Methods/ApproachIn Spring 2020, N = 40 ED patients ages 16–30 who were at risk for opioid misuse/OUD enrolled in a pilot trial involving screening/baseline assessments, motivational interviewing-based remote interventions (baseline telemedicine brief intervention [BI], 1-month of portal messaging), and a 1-month follow-up Before COVID-19, N = 10 enrolled in the ED (in-person cohort: IPC);during COVID-19, N = 30 recent ED patients enrolled via phone recruitment (remote cohort: RC) Feasibility data are presented by cohort;acceptability data are combined ResultsAmong the N=40, the sample had a mean age of 22 9 years Gender was: 70% female, 5% non-conforming, 25% male Race was: 75% White, 15% Black/African American, and 10% other racial identities;17 5% were Hispanic/Latinx Regarding feasibility, eligibility rates were similar (IPC: 17%, RC: 15%);consenting rates differed (IPC: 100%, RC: 56%), likely due to the RC’s telephone approach Portal engagement increased from the IPC (60%) to the RC (93%), possibly due to addressing technical difficulties and IPC user feedback BI and portal satisfaction were high (M = 9 3 on a 1–10 scale and M = 8 5, respectively) Interventions exceeded motivational interviewing fidelity thresholds (adapted for portal messaging) Follow-up rates were high (IPC: 80%, RC: 93%) SignificancePreventing opioid misuse is critical to avoiding escalation of opioid use and overdoses, and emergency department patients are at increased risk This study demonstrates the feasibility and acceptability of these intervention approaches via telemedicine for preventing future injuries

INTRODUCTION: Youth who carry firearms—and peers that surround them—are at increased risk for violent injuries. Because firearm carriage behaviors can change over time within an individual, it is important to identify individual and social-contextual determinants that explain this within-person variability in carriage. METHODS: The authors identified individual and social-contextual determinants of firearm carriage in the past 6 months using multilevel logistic models on five waves of panel data from the Flint Youth Injury Study (n=597; ages 14–24 years), collected in 2009–2011 and analyzed in 2019. RESULTS: Regarding within-person effects, when an individual had more positive peer affiliations compared with their average, their odds of carrying a firearm decreased (OR=0.88; 95% CI=0.81, 0.96). Conversely, an individual’s odds of carrying a firearm increased when they had more negative peer affiliations (OR=1.08, 95% CI=1.02, 1.14), experienced more victimization (OR=1.03, 95% CI=1.01, 1.05), perceived greater community violence (OR=1.12, 95% CI=1.05, 1.21), or exhibited greater retaliatory attitudes (OR=1.10, 95% CI=1.01, 1.19) than their average. CONCLUSIONS: Peer affiliations, victimization, community violence perceptions, and retaliatory attitudes explain within-person variability in firearm carriage. Strategies for reducing carriage among youth should consider individual- and environmental-level interventions to address these individual and social-contextual determinants.

Statement of Purpose Youth violence is a leading cause of morbidity and mortality. Adolescent primary care visits provide an opportunity for violence screening and delivery of interventions, which are not typically offered in this setting. Thus, we examined implementation of an evidenced-based behavioral intervention (SafeERteens) in primary care. Methods/Approach Adolescents (ages 14–18) reporting past year aggression on a screening survey were eligible. A quasi-experimental deign was used, enrolling a comparison sample (e.g., resource brochure) and an intervention sample, which consisted of clinic staff delivering a 30-minute Motivational Interviewing-based brief intervention, followed by automatic text message boosters over 8 weeks. Follow-up surveys were complete at 3-months. Results Overall, about half (50.0%; 56.6%) of youth screened positive, with 110 enrolled (n=49 comparison; n= 61 intervention). Intervention delivery characteristics varied by clinic, including completion (75.9%; 62.5%), modality (100% telehealth; 60% telehealth/40% in-person), and enrollment in text messages (81.8%; 55.0%). In analyses comparing relative changes over time (using an intent-to-treat approach), the intervention group showed significantly greater reductions in severe peer aggression (p Conclusions Findings support the feasibility and preliminary effectiveness of delivering violence interventions in primary care, with key lessons learned informing future translation of behavioral interventions into routine care in primary care. Significance/Contribution to Injury and Violence Prevention Primary care is a useful setting to identify adolescents involved with violence, and deliver interventions, which could reduce injury and improve health outcomes.

Statement-of-Purpose Firearm violence is a leading cause of U.S. mortality. Intensive longitudinal daily data studies [ILDDS] have not examined firearm carriage or same-day/next-day predictors of carriage or violent conflict. Such data are necessary to inform violence interventions. Methods/Approach ED youth/young adults (age=16–29) screening positive for substance misuse, firearm possession, and smartphone ownership were enrolled in a 30-day ILDDS. Daily assessment included 31-items about firearm carriage, violence, substance use, anger, anxiety/stress, and impulsivity. Separate conditional logistic regression models examined within- and next-day lagged associations with firearm carriage and violent conflict. Results Across 30-days, 51% (n=27) of participants (n=53; M-age=24; 42%-male; 68%-Black; 87%-handgun possession) carried firearms, averaging 7 carriage-days/person. Carriage did not vary by day, week, day-of-week, or weekday/weekend. Firearms were carried 17% (180-of-1046) of days, with protection (97%) the primary reason-for-carriage and perceived low-risk (75%) the primary reason-for-not-carrying; 19% of participants disposed of their firearms. Examining between-person associations, no baseline differences were identified for participants carrying and not carrying firearms. Examining within-day factors, using illicit drugs (OR=7.5) and spending time in high-risk locations (OR=3.5) were associated with same-day carriage. No same-day associations were identified for other daily variables and carriage. Across 30-days, 26% of participants engaged in violent conflict (n=20 conflict-days; 63%-partner/27%-non-partner, 25%-firearm threats/use). Examining within-day, higher anger (OR=1.48), impulsivity (OR=1.28), stress/anxiety (OR=1.35), and riskier firearm behaviors (e.g., carriage drunk/high; OR=6.46) were associated with same-day conflict. Higher anger (OR=9.63) and lower self-efficacy for avoiding fights (OR=1.42) were associated with next-day conflict. Conclusions Among high-risk youth, daily firearm carriage/violence rates were high. Results highlight carriage patterns and foci for interventions, including risky firearm behaviors, illicit-drug use, anxiety/stress, impulse control, anger management, and violence avoidance/refusal skills. Significance/Contributions This is the first ILDDS examining firearm carriage/violence and identifies key data for future public health efforts addressing firearm violence.

Background Individuals in stressful work environments often experience mental health issues, such as depression. Reducing depression rates is difficult because of persistently stressful work environments and inadequate time or resources to access traditional mental health care services. Mobile health (mHealth) interventions provide an opportunity to deliver real-time interventions in the real world. In addition, the delivery times of interventions can be based on real-time data collected with a mobile device. To date, data and analyses informing the timing of delivery of mHealth interventions are generally lacking. Objective This study aimed to investigate when to provide mHealth interventions to individuals in stressful work environments to improve their behavior and mental health. The mHealth interventions targeted 3 categories of behavior: mood, activity, and sleep. The interventions aimed to improve 3 different outcomes: weekly mood (assessed through a daily survey), weekly step count, and weekly sleep time. We explored when these interventions were most effective, based on previous mood, step, and sleep scores. Methods We conducted a 6-month micro-randomized trial on 1565 medical interns. Medical internship, during the first year of physician residency training, is highly stressful, resulting in depression rates several folds higher than those of the general population. Every week, interns were randomly assigned to receive push notifications related to a particular category (mood, activity, sleep, or no notifications). Every day, we collected interns’ daily mood valence, sleep, and step data. We assessed the causal effect moderation by the previous week’s mood, steps, and sleep. Specifically, we examined changes in the effect of notifications containing mood, activity, and sleep messages based on the previous week’s mood, step, and sleep scores. Moderation was assessed with a weighted and centered least-squares estimator. Results We found that the previous week’s mood negatively moderated the effect of notifications on the current week’s mood with an estimated moderation of −0.052 (P=.001). That is, notifications had a better impact on mood when the studied interns had a low mood in the previous week. Similarly, we found that the previous week’s step count negatively moderated the effect of activity notifications on the current week’s step count, with an estimated moderation of −0.039 (P=.01) and that the previous week’s sleep negatively moderated the effect of sleep notifications on the current week’s sleep with an estimated moderation of −0.075 (P Conclusions These findings suggest that an individual’s current state meaningfully influences their receptivity to mHealth interventions for mental health. Timing interventions to match an individual’s state may be critical to maximizing the efficacy of interventions. Trial Registration ClinicalTrials.gov NCT03972293; http://clinicaltrials.gov/ct2/show/NCT03972293

BACKGROUND: Reducing underage drinking is a public health priority given increased risk for injury and other consequences. Emergency department (ED) visits offer a potential “teachable moment” to initiate interventions among youth engaged in risky drinking. Given mixed findings for alcohol brief interventions (BIs), this paper examined baseline markers of BI response in order to inform future interventions. METHOD: We conducted secondary analyses of data from a randomized controlled trial of an alcohol BI delivered to youth in an ED. Among 475 participants (M(age)=18.6, SD=1.4; 48.7% Female, 78.6% White/Caucasian) receiving a computer or therapist BI, we examined baseline characteristics (i.e., demographic, substance use, mood, risk/protective factors, and readiness to change) that predicted positive intervention response (i.e., BI responder) at 3-month follow-up using AUDIT-C scores (cut offs: < 3 for ages 14–17; < 4 for ages 18–20). RESULTS: Mediated logistic regression analysis (controlling for demographics) showed that greater readiness to change at baseline was positively related to BI response and baseline alcohol consumption was negatively related to BI response. Having a mentor was indirectly related to BI response via baseline alcohol consumption. Baseline readiness to change and alcohol consumption mediated the association between positive peer influences and BI response, whereas readiness to change mediated the relation between depression and BI response. CONCLUSION: Findings suggest that BI response is influenced by protective social factors, such as positive peers and mentors, and depression, via alcohol severity indicators (i.e., readiness to change, consumption), thus providing clues to enhancing the content and dose of early interventions.

Author(s): Whiteside, Lauren K.; Goldstick, Jason; Dora-Laskey, Aaron; Thomas, Laura; Walton, Maureen; Cunningham, Rebecca; Bohnert, Amy S.B. | Abstract: Introduction: Opioid overdose is a major public health problem. Emergency physicians need information to better assess a patient’s risk for overdose or opioid-related harms. The purpose of this study was to determine if patient-reported preference for specific pain medications was associated with a history of lifetime overdose among patients seeking care in the emergency department (ED).Methods: ED patients (18-60 years) completed a screening survey that included questions on overdose history, ED utilization, opioid misuse behaviors as measured by the Current Opioid Misuse Measure (COMM), and analgesic medication preferences for previous ED visits for pain with specific responses for preference for Dilaudid®, morphine, Toradol®, “no preference” or “never visited the ED for pain.” We compared individuals who reported a lifetime history of overdose descriptively to those without a lifetime history of overdose. Logistic regression was used to determine factors associated with a history of overdose.Results: We included 2,233 adults in the analysis (71.5% response rate of patients approached) with 532 reporting at least one lifetime overdose. In the univariate analysis, medication preference was significantly associated with overdose history (p l .001); more patients in the overdose group reported preferring morphine and Dilaudid® and those without a history of overdose were more likely to have no preference or say they had never visited the ED for pain. In the logistic regression analysis, patients with higher odds of overdose included those of Caucasian race, participants with a higher COMM score, preference for Toradol®, morphine or Dilaudid®. Those who were younger, female and reported never having visited the ED for pain had lower odds of reporting a lifetime overdose. Having “any preference” corresponded to 48% higher odds of lifetime overdose.Conclusion: Patients with a pain medication preference have higher odds of having a lifetime overdose compared to patients without a specific pain medication preference, even after accounting for level of opioid misuse. This patient-reported preference could cue emergency physicians to identifying high-risk patients for overdose and other substance-related harms.

Objectives Drugged driving [DD] is a public health concern, particularly among emerging adults who have the highest rates of drug use. Understanding involvement with DD could inform prevention efforts for this population. We evaluated the prevalence of, motives for, and correlates of past-year DD among emerging adults from an urban, under-resourced community. Methods Emerging adults (N = 586) ages 18–25 years (54% male, 56% African American, 34% European American) seeking care in an urban emergency department completed past-year surveys of demographics, frequency of DD within 4 h of substance use, reasons for DD, and substance use. Results DD was reported by 24% of participants (with 25% of those engaging in high frequency DD). DD after cannabis use was most common (96%), followed by prescription opioids, sedatives, and stimulants (9%–19%). Common reasons for DD were: needing to go home (67%), not thinking drugs affected driving ability (44%), not having to drive far (33%), and not feeling high (32%). Demographics were not associated with DD, but, as expected, those with DD had riskier substance use. Conclusions In this clinical sample, using a conservative measure, DD, particularly following cannabis use, was relatively common among emerging adults. Based on these data, clinical interventions for cannabis and other drug use should include content on prevention of DD, with particular attention to motives such as planning ahead for alternatives to get home safely and weighing benefits and risks of DD.

Sexual violence (SV) is a widespread public health problem among adolescents and emerging adults with significant short- and long-term consequences. Young people living in urban, disadvantaged communities with high rates of violence may be especially at risk for SV victimization. Understanding interconnections between different forms of violence is critical to reducing SV risk among youth. Participants were youth ( N = 599) ages 14 to 24 years ( M = 20.05, SD = 2.42) presenting to an urban emergency department with a Level 1 trauma designation as part of a prospective cohort study and followed-up for 24 months. We used logistic regression to examine the probability of reporting SV during the 24-month follow-up based on baseline reports of community and peer violence exposure, accounting for previous SV victimization, substance use, and sociodemographic characteristics. Among youth presenting to an urban emergency department, 22% of youth not seeking care for a sexual assault reported any lifetime SV (forced and/or substance-induced sexual intercourse) at baseline. During the 24-month follow-up, 12% reported SV victimization. We found high community violence exposure (odds ratio [OR] = 2.96, 95% confidence interval [CI] [1.01, 8.68]) and peer violence exposure (OR = 1.58, 95% CI [1.19, 2.08]) were associated with increased odds of reporting SV during follow-up in addition to previous SV victimization (OR = 2.71, 95% CI [1.45, 5.09]). Sex, age, parent education, and alcohol or other drug use at baseline were not associated with odds of SV during follow-up. Investigating interconnections between SV victimization and other forms of violence across socioecological levels provides an opportunity to advance SV research and identify promising avenues for prevention based on other violence prevention research. Future strategies for SV prevention that incorporate community and peer components as well as SV-specific content may help reduce SV victimization among youth living in urban, disadvantaged communities.

Firearm homicide is the leading cause of violence-related youth mortality. To inform prevention efforts, we analyzed event-level data to identify unique precursors to firearm conflicts. Youth (ages:14–24) seeking Emergency Department (ED) treatment for assault or for other reasons and reporting past 6-month drug use were enrolled in a 2-year longitudinal study. Time-line follow-back substance use/aggression modules were administered at baseline and each 6-month follow-up. Violent non-partner conflicts were combined across time-points. Regression analyzed: a)antecedents of firearm-related conflicts (i.e., threats/use) as compared to non-firearm conflicts; and b)substance use on conflict (vs. non-conflict) days for those engaged in firearm conflict. During the 24-months, we found that 421-youth reported involvement in violent non-partner conflict (n = 829-conflicts;197-firearm/632-non-firearm). Among firearm conflicts, 24.9% involved aggression and 92.9% involved victimization. Retaliation was the most common motivation for firearm-aggression (51.0%), while “shot for no reason” (29.5%) and conflicts motivated by arguments over “personal belongings” (24.0%) were most common for firearm-victimization. Male sex (AOR = 5.14), Black race (AOR = 2.75), a ED visit for assault (AOR = 3.46), marijuana use before the conflict (AOR = 2.02), and conflicts motivated by retaliation (AOR = 4.57) or personal belongings (AOR = 2.28) increased the odds that a conflict involved firearms. Alcohol (AOR = 2.80), marijuana (AOR = 1.63), and prescription drugs (AOR = 4.06) had a higher association with conflict (vs. non-conflict) days among youth reporting firearm conflict. Overall, we found that firearm conflicts are differentially associated with substance use and violence motivations. Addressing substance use, interrupting the cycle of retaliatory violence, and developing conflict resolution strategies that address escalation over infringement on personal belongings may aid in decreasing and preventing adolescent firearm violence.

The study sought to describe the occurrence of adolescent driving after drinking (DD) and riding with a driver who had been drinking (RWDD) and associations with substance use for both males and females. As part of screening for a randomized controlled trial, we surveyed 16–20 year olds ( N = 3418) recruited from an emergency department (ED) and analyzed data from those reporting past-year alcohol consumption ( n = 2150, 58% females). DD was reported by 22% of females and 28% of males and RWDD was reported by 39% of females and 38% of males, also in the past year. In regression models, risky alcohol use and past-year marijuana use were associated with increased odds of DD and RWDD for females and males. Marijuana use was a strong predictor, with odds increased by 2.3 and 1.7 times for DD among females and males respectively and 1.4 times for RWDD for females and males. Prescription drug misuse was also associated with RWDD for females and for both males' and females' reported DD. The findings highlight the alarming rate of DD and RWDD among both males and females and suggest ED-based injury prevention efforts consider such risky road behavior as well as consider their substance use. Future research might also further examine the effects of driving under influence of substances, particularly marijuana, and the negative synergistic effects of co-ingestion prior to driving.

We describe the self-reported socioeconomic and health impacts, as well as the coping mechanisms employed by a drug-using cohort of adults during the Flint water crisis (FWC) in Flint, Michigan. Participants from an ongoing longitudinal Emergency Department study were contacted between April 2016 and July 2016 and completed a survey focusing on exposure, consequences, and coping strategies. One hundred thirty-three participants (mean age = 26, 65% African-American, 61% public assistance) completed the survey (37.9% response rate). Of these, 75% reported exposure to water with elevated lead levels. Of these, 75% reported additional monthly expenses resulting from exposure. Almost 40% of parents reported changes in their children's health and 65% reported changes to their health since the FWC. Participants indicated the use of both positive (e.g., advice from trusted neighbors, 99.0%) and negative coping mechanisms (e.g., increased substance use, 20.0%) in response to this public health emergency. High-risk Flint residents reported multiple social, economic, and health-related consequences stemming from the FWC. Policymakers should consider additional resources for those affected, including increased access to mental health to aid recovery within the community.

Aims To examine efficacy of drug brief interventions (BIs) among adults presenting to a low-income urban emergency department (ED). Design Randomized controlled trial on drug use outcomes at 3, 6 and 12 months. Participants were assigned to (1) computer-delivered BI (Computer BI), (2) therapist-delivered, computer-guided BI (Therapist BI) or (3) enhanced usual care (EUC-ED) for drug-using adults. Participants were re-randomized after the 3-month assessment to either adapted motivational enhancement therapy (AMET) booster or enhanced usual care booster (EUC-B). Setting Patients recruited from low-income urban emergency departments (ED) in Flint, Michigan, USA. Participants A total of 780 ED patients reporting recent drug use, 44% males, mean age = 31 years. Interventions Computer BI consisted of an interactive program guided by a virtual health counselor. Therapist BI included computer guidance. The EUC-ED conditions included review of community health and HIV prevention resources. The BIs and boosters were based on motivational interviewing, focusing on reduction of drug use and HIV risk behaviors. Measurements Primary outcome was past 90 days using drugs at 6 and 12 months and secondary outcomes were weighted drug-days and days of marijuana use. Findings Percentage changes in mean days used any drug from baseline to 12 months were: Computer BI + EUC-B: –10.9%, P = 0.0844; Therapist BI + EUC-B: –26.7%, P = 0.0041, for EUC-ED + EUC-B: –20.9, P = 0.0011. In adjusted analyses, there was no significant interaction between ED intervention and booster AMET for primary and secondary outcomes. Compared with EUC-ED, Therapist BI reduced number of days using any drug [95% confidence interval (CI) = −0.41, −0.07, P = 0.0422] and weighted drug-days (95% CI = –0.41, −0.08, P = 0.0283). Both Therapist and Computer BI had significantly fewer number of days using marijuana compared to EUC-ED (Therapist BI: 95% CI = –0.42, −0.06, P = 0.0104, Computer BI: 95% CI = –0.34, −0.01, P = 0.0406). Booster effects were not significant. Conclusions An emergency department-based motivational brief intervention, delivered by a therapist and guided by computer, appears to reduce drug use among adults seeking emergency department care compared with enhanced usual care.

Purpose The National Guard provides critical support both domestically and abroad with soldiers dispersed throughout America and spanning the urban-rural continuum. To determine if location-specific interventions may be needed, we compared the prevalence and severity of cannabis and alcohol use among National Guard members across localities. Methods Michigan National Guard members were enrolled (N = 2,746) during drill weekends as part of a larger randomized behavioral trial. Cannabis (ASSIST; prevalence = 5%) and alcohol use (AUDIT; prevalence = 82%) were compared using hurdle regression models across locality status after adjusting for covariates. Findings Prevalence of cannabis and alcohol use was predicted by locality (adjusted odds ratio [AOR] = 0.913, 95% CI: 0.838-0.986, P = .029; AOR = 0.963, 95% CI: 0.929-0.998, P = .038, respectively), with more use in urban localities. Neither severity of cannabis nor alcohol use was predicted by locality status. Conclusions Prevalence of cannabis and alcohol use in the National Guard is differentially elevated across localities with higher prevalence in more central, densely populated areas. Findings may inform future work considering accessibility and utilization of prevention and treatment services for Guard members across the urban-rural continuum.

BackgroundPrecipitants of alcohol use transitions can differ from generalized risk factors. We extend prior research by predicting transitions in alcohol use disorder (AUD) during adolescence and emerging adulthood.MethodsFrom 12/2009-9/2011, research assistants recruited 599 drug-using youth age 14-24 from Level-1 Emergency Department in Flint, Michigan. Youth were assessed at baseline and four biannual follow-ups, including a MINI Neuropsychiatric interview to diagnose AUD (abuse/dependence). We modeled AUD transitions using continuous time Markov Chains with transition probabilities modulated by validated measures of demographics, anxiety/depression symptoms, cannabis use, peer drinking, parental drinking, and violence exposure. Separate models were fit for underage (ResultsWe observed 2,024 pairs of consecutive AUD states, including 264 transitions (119 No-AUD→AUD; 145 AUD→No-AUD); 194 (32.4%) individuals were diagnosed with AUD at ≥1 assessment. Among age 14-20, peer drinking increased AUD onset (No-AUD→AUD transition) rates (Hazard ratio-HR = 1.70; 95%CI: [1.13,2.54]), parental drinking lowered AUD remission (AUD→No-AUD transition) rates (HR = 0.53; 95%CI: [0.29,0.97]), and cannabis use severity both hastened AUD onset (HR = 1.18; 95%CI: [1.06,1.32]) and slowed AUD remission (HR = 0.85; 95%CI: [0.76,0.95]). Among age 21-24, anxiety/depression symptoms both increased AUD onset rates (HR = 1.35; 95%CI: [1.13,1.60]) and decreased AUD remission rates (HR = 0.74; 95%CI: [0.63,0.88]). Friend drinking hastened AUD onset (HR = 1.18, 95%CI: [1.05,1.33]), and slowed AUD remission (HR = 0.84; 95%CI: [0.75,0.95]). Community violence exposure slowed AUD remission (HR = 0.69, 95%CI: [0.48,0.99]). In both age groups, males had >2x the AUD onset rate of females, but there were no sex differences in AUD remission rates. Limitations, most notably that this study occurred at a single site, are discussed.ConclusionsSocial influences broadly predicted AUD transitions in both age groups. Transitions among younger youth were predicted by cannabis use, while those among older youth were predicted more by internalizing symptoms and stress exposure (e.g., community violence). Our results suggest age-specific AUD etiology, and contrasts between prevention and treatment strategies.

Introduction Rural-urban differences in cigarette and cannabis use have traditionally shown higher levels of cigarette smoking in rural areas and of cannabis use in urban areas. To assess for changes in this pattern of use, we examined trends and prevalence of cigarette, cannabis, and co-use across urban-rural localities. Methods Urban-rural trends in current cigarette and/or cannabis use was evaluated using 11 cohorts (2007–2017) of the National Survey on Drug Use and Health (NSDUH; N = 397,542). We used logistic regressions to model cigarette and cannabis use over time, adjusting for demographics (age, gender, race/ethnicity, income, education), in addition to assessing patterns of cannabis use among cigarette smokers and nonsmokers. Results Despite decreases in cigarette smoking overall, between 2007 and 2017, the urban-rural disparity in cigarette smoking increased (AOR = 1.17), with less reduction in rural as compared to urban cigarette smokers. Cannabis use increased in general (AOR = 1.88 by 2017), with greater odds in urban than rural regions. Cannabis use increased more rapidly in non-cigarette smokers than smokers (AOR = 1.37 by 2017), with 219% greater odds of cannabis use in rural non-cigarette smokers in 2017 versus 2007. Conclusions Rurality remains an important risk factor for cigarette smoking in adults and the fastest-growing group of cannabis users is rural non-cigarette smokers; however, cannabis use is currently still more prevalent in urban areas. Improved reach and access to empirically-supported prevention and treatment, especially in rural areas, along with dissemination and enforcement of policy-level regulations, may mitigate disparities in cigarette use and slow the increase in rural cannabis use.

There has been a rapid increase in the development of technological innovations to reduce the escalation and impact of alcohol problems among adolescents and adults. Technology-based interventions offer the possibility of reaching individuals who otherwise might not seek treatment, (e.g., those in remote areas, those not perceiving a need for treatment, or others who may resist treatment). This article describes four case examples of technology-based interventions for risky drinking: 1) a freely available and interactive website that provides individualized feedback and information on risky drinking patterns; 2) a brief intervention for adolescents that provides individualized feedback to teens regarding their alcohol use; 3) a computer-delivered screening and brief intervention for alcohol use among pregnant women, and 4) a simulation program for training social workers in screening and brief intervention. These case examples highlight how technology may have a role in addressing the Alcohol Misuse Grand Challenge.

Background: The psychosocial correlates and longitudinal trajectories of driving after drinking (DAD) among youth remain understudied in at-risk populations. Objectives: We investigated the relationships of DAD trajectories and negative peer and parental influences, substance use, and mental health among predominantly marijuana-using youth seeking emergency department (ED) treatment. Methods: Data were from a 2-year prospective cohort study of drug-using patients (97.4% used marijuana) ages 14-24 seeking ED care for assault injury, or as part of a non-assaulted comparison group. Validated surveys measured DAD behaviors and correlates at baseline, 6, 12, 18, and 24 months. Latent class growth analysis identified characteristic DAD trajectory groups; baseline predictors were analyzed descriptively and using multinomial logistic regression. Results: Three DAD trajectory groups were identified among driving-age youth (n = 580): no DAD (NDAD; 55.2%), low-steady (LDAD; 29.0%), and high-declining (HDAD; 15.9%). In unadjusted analyses, HDAD youth were older, but otherwise similar to other groups demographically. Compared to NDAD, LDAD and HDAD group members had higher rates of drug and alcohol use disorders (p < .001). Further, HDAD group members had higher rates of anxiety symptoms and were more likely to be diagnosed with PTSD or depression than NDAD or LDAD youth (p < .05). Negative peer and parent influences were significantly higher in progressively more severe trajectory groups (p < .01). Adjusted effects from the multinomial model were analogous for peer and parental influences and substance use disorders, but not mental health. Conclusion: DAD is strongly associated with negative social influences and substance use disorders among marijuana-using youth, reinforcing their importance when developing interventions.

Objective Interpersonal violence is a significant public health problem, with substance use a key risk factor. Intensive longitudinal methods (ILMs) provide data on daily patterns/relationships between substance use and violence, informing prevention. Prior daily research has not focused on these relationships among urban minority samples. Methods Within an RCT comparing ILM assessment/schedule methods, 162-participants completed daily IVR (n = 81) or SMS (n = 81) assessments measuring 19 substance use and violence (partner/non-partner) behaviors daily for 90-days. GLMMs characterized between- and within-person predictors of daily violence. Results Participants [48.7%-female; age = 24.4; 62.3%-African-American; 66.7%-public assistance] completed an average of 46.5 daily reports [SD = 26.7]. Across 90-days, alcohol was characterized by episodic weekend use (average = 10 days-of-use, 34.4% drinking-days involved binge-drinking), while marijuana use was continuous (average = 27 days-of-use; 1.7 times/day), with no weekend differences. Among 118-violent conflicts, 52.5% occurred on weekends; 57.6% were with non-partners/peers; 61.0% involved perpetration/57.6% victimization; and 52.5% involved severe violence. For violence conflicts, 27.1% were preceded by alcohol/22.9% preceded by drug use. Between-person predictors of daily violence included retaliatory attitudes (AOR = 3.2) and anxiety (AOR = 1.1). Within-person predictors included weekends (AOR = 1.6), binge drinking (AOR = 1.9), non-medical prescription opioid use (AOR = 3.5) and illicit drug use (AOR = 8.1). Conclusion Among a high-risk urban minority sample, we found that higher baseline retaliatory attitudes and anxiety, as well as same-day binge drinking, non-medical prescription opioid use, and illicit drug use were associated with daily violence, likely reflecting both pharmacological and socio-contextual factors. Addressing substance use and retaliatory violence with tailored prevention efforts may aid in decreasing negative interpersonal violence outcomes.

Firearm violence is a leading cause of death for urban adolescents and young adults (A/YAs). Little is known about patterns of risky firearm behaviors (RFBs) that may increase firearm-related fatality and non-fatal injury risk. To inform prevention efforts, we examined the rates and correlates of RFBs, including firearm carriage in risky situations (e.g., while drunk/high), discharge in risky situations (e.g., fleeing police), and firearm aggression (e.g., firearm threats/use against a partner/non-partner), among a sample of A/YAs (age-16-29) seeking medical or injury related care (7/2017–6/2018) at a Level-1 urban Emergency Department (ED). In total, 1312 A/YAs completed the survey (mean-age 23.2; 29.6%-male; 50.5%-Black; 56.3%-public assistance), with 102 (7.8%) engaging in RFBs. Among those engaging in RFBs, 42% reported firearm ownership, 68.6% firearm carriage in high-risk situations, 39.2% firearm discharge in risky situations, and 41.2% reported partner/non-partner firearm aggression. Regression identified RFBs correlates, including older age (AOR = 1.09), male sex (AOR = 1.63), Black race/ethnicity (AOR = 2.01), substance misuse (AOR = 2.75), attitudes favoring firearm use/retaliation (AOR = 1.38), peer firearm ownership/carriage (AOR = 3.26), higher levels of community violence exposure (AOR = 1.05), and active parole/probation (AOR 2.38). Higher coping skills were protective for RFBs (AOR = 0.83). Overall, we found that A/YAs seeking urban ED treatment reported elevated RFB rates, emphasizing the need for novel prevention initiatives, especially those incorporating tailored content addressing substance use, retaliatory violence, and peer delinquency/norms, while enhancing self-efficacy for avoiding RFBs and providing access to external resources within a resiliency-based framework. Such prevention approaches may be a critical step towards addressing the public health problem of firearm violence. Primary Funding Sources: NIH/NIDA K23DA039341; NIH/NCATS UL1TR000433.

Importance Firearm injuries are the second leading cause of death among US children and adolescents. Because of the lack of resources allocated to firearm injury prevention during the past 25 years, research has lagged behind other areas of injury prevention. Identifying timely and important research questions regarding firearm injury prevention is a critical step for reducing pediatric mortality. Objective The Firearm Safety Among Children and Teens (FACTS) Consortium, a National Institute for Child Health and Human Development–funded group of scientists and stakeholders, was formed in 2017 to develop research resources for the field, including a pediatric-specific research agenda for firearm injury prevention to assist future researchers and funders, as well as to inform cross-disciplinary evidence-based research on this critical injury prevention topic. Evidence Review A nominal group technique process was used, including 4 key steps (idea generation, round-robin, clarification, and voting and consensus). During idea generation, stakeholders and workgroups generated initial research agenda topics after conducting scoping reviews of the literature to identify existing gaps in knowledge. Agenda topics were refined through 6 rounds of discussion and survey feedback (ie, round-robin, and clarification steps). Final voting (using a 5-point Likert scale) was conducted to achieve consensus (≥70% of consortium ranking items at 4 or 5 priority for inclusion) around key research priorities for the next 5 years of research in this field. Final agenda questions were reviewed by both the stakeholder group and an external panel of research experts not affiliated with the FACTS Consortium. Feedback was integrated and the final set of agenda items was ratified by the entire FACTS Consortium. Findings Overall, 26 priority agenda items with examples of specific research questions were identified across 5 major thematic areas, including epidemiology and risk and protective factors, primary prevention, secondary prevention and sequelae, cross-cutting prevention factors, policy, and data enhancement. Conclusions and Relevance These priority agenda items, when taken together, define a comprehensive pediatric-specific firearm injury prevention research agenda that will guide research resource allocation within this field during the next 5 years.

OBJECTIVE: This study describes the prevalence of eating disorders among adult patients who present to the emergency department for medical care and examines the relationship between eating disorders, depression, and substance use disorders. METHOD: Emergency department patients aged 21–65 years (n = 1,795) completed a computerized questionnaire that included validated screening tools for eating disorders, risky drinking behavior, other substance use, and depression. Analyses were conducted comparing individuals who screened positive for an eating disorder with those who did not based on demographics (gender, age, race, income, education), body mass index (BMI), risky drinking behavior, other substance use, and depression. RESULTS: Nearly 16% (15.9%) of all patients screened positive for an eating disorder regardless of their reason for presenting to the emergency department. Patients who screened positive for an eating disorder were significantly more likely to have a BMI > 30 (odds ratio [OR] = 2.68, confidence interval [CI] = 1.98, 3.62, p < .001), to also screen positive for depression (OR = 3.19, CI = 2.28, 4.47, p < .001) and to be female (OR = 2.37, CI = 1.76, 3.19, p < .001). No differences in the prevalence of positive screens for eating disorders were seen across age or racial groups, level of education or income, or for any of the included substance use variables. DISCUSSION: Eating disorders are common among adult emergency department patients and are associated with high rates of comorbid depression and higher BMI. Given the significant morbidity and mortality associated with eating disorders, targeted screening may be warranted in the emergency department setting.

Purpose: Overdose from alcohol and/or drugs kills tens of thousands of Americans annually, with a large number of deaths attributed to opioid pain medications. Addiction treatment patients are known to be at high risk for overdose; however, the relationship between pain and overdose history within this group is understudied, especially in relation to alcohol overdoses. In the present study, we evaluated whether nonfatal overdose history was more likely among addiction treatment patients with pain, and examined the characteristics of overdoses among those with and without pain. Methods: We analyzed cross-sectional data from 739 patients at a large residential addiction treatment center (median age 37, 25.7% female). We used 2-stepped binary regression models to evaluate whether demographics, pain type (chronic, acute, or both), depression symptoms, and opioid misuse were associated with lifetime history of nonfatal (1) alcohol and (2) drug overdose (lifetime yes/no), and conducted follow-up analyses examining overdose characteristics. Results: In adjusted analyses, history of chronic pain (odds ratio [OR] 2.60, 95% confidence interval [CI] 1.59, 4.27) and illicit drug use (OR 1.99, 95% CI 1.07, 3.68) were associated with an increased likelihood of nonfatal alcohol overdose. Opioid misuse (OR 3.11, 95% CI 2.51, 3.86), depression symptoms (OR 1.33, 95% CI 1.14, 1.55), and younger age (OR 0.96, 95% CI 0.94, 0.97) were associated with increased likelihood of drug overdose. Those with pain reported a higher number of lifetime alcohol overdoses and were more likely to combine numerous drugs with alcohol before overdose. Conclusions: Pain conditions may play an under-recognized role in the overdose epidemic, particularly alcohol-related overdose. Addiction treatment and overdose prevention interventions should incorporate appropriate assessment and treatment of pain including education about the risks of polysubstance use, particularly combining alcohol with sedatives and prescription pain relievers.

Background The distinction between within- and between-person associations with drug use disorder (DUD) has implications for intervention targets and content. We used longitudinal data from youth entering an urban emergency department (ED) to identify factors related to changes in DUD diagnosis, with particular emphasis on alcohol use. Methods Research staff recruited youth age 14–24 (n = 599) reporting any past six-month drug use from a Level-1 ED; participants were assessed at baseline and four biannual follow-ups. Participants self-reported validated measurements of peer/parental behaviors, violence/crime exposure, drug use self-efficacy, and alcohol use. Research staff performed diagnostic interviews for DUD with nine substances, post-traumatic stress disorder (PTSD), and major depressive disorder (MDD). We used repeated measures logistic regression models with person-level covariate means, and person-mean-centered covariates, as separate variables, to separate within- and between-person covariate effects. Results Among 2,630 assessments, 1,128 (42.9 %) were DUD diagnoses; 21.7 % were co-diagnoses with multiple drugs. Positive (aOR = 0.81, 95 %CI:[0.70, 0.94]) and negative (aOR = 1.73, 95 %CI:[1.45, 2.07]) peer behaviors related to DUD, primarily through between-person effects. Parental support (aOR = 0.92, 95 %CI:[0.83, 0.99]), community violence/crime (aOR = 1.28, 95 %CI:[1.14, 1.44]), PTSD/MDD diagnosis (aOR = 1.36, 95 %CI:[1.04, 1.79]), and alcohol use quantity (aOR = 1.06, 95 %CI:[1.02, 1.11]) were associated with DUD, showing primarily within-person effects. Other factors, such as interpersonal violence involvement (aOR = 1.47, 95 %CI:[1.21, 1.78]), showed both within- and between-person effects. Conclusions DUD is prevalent in this population, and within-person changes in DUD are predictable. Within-person effects suggest the importance of addressing escalating alcohol use, enhancing parental support, crime/violence exposure, and other mental health diagnoses as part of DUD intervention.

Purpose There are few efficacious prevention interventions for emerging adults (ages 18–25) drug use and concomitant risks (e.g., sexual risk behaviors). We developed and evaluated the feasibility and acceptability of an Emergency Department (ED)-initiated brief intervention (BI) combined with booster messaging as a clinician-extender primarily focusing on drug use, with a secondary focus on condomless sex. We examined descriptive outcomes of alcohol, drug use, and condomless sex. Procedures We recruited N = 63 emerging adults who used drugs (primarily cannabis) from an ED (72.4 % participation rate). Their mean age was 21.7 years (SD = 2.3); 67 % were female and 52.4 % were Black/African American. Participants randomized to the intervention (N = 31) received a BI and 28 days of tailored booster messaging (based on drug use motives) daily, and the control condition received a community resource brochure. A post-test occurred at 1-month with a follow-up at 2-months. Results The intervention was well-received (83.9 % allocated completed the BI) with 79 % overall liking the BI and 71 % finding it helpful to discuss substances. Mean ratings of booster messages were > 4.0 (5-point scale); 77 % liked the daily messages and 91 % found them helpful. Descriptively, the intervention group evidenced absolute reductions over time on alcohol outcomes, cannabis use, and condomless sex. Conclusions This BI with booster messages was feasible and acceptable in the target population of emerging adults who use drugs (i.e., mostly cannabis). This intervention model, initiated during a healthcare visit and accompanied by a clinician-extender, should be tested in a future fully-powered trial.

Background Substance use among adolescents and emerging adults continues to be an important public health problem associated with morbidity and mortality. Mobile health (mHealth) provides a promising approach to deliver just-in-time adaptive interventions (JITAIs) to prevent escalation of use and substance use–related consequences. Objective This pilot study aims to describe the iterative development and initial feasibility and acceptability testing of an mHealth smartphone app, called MiSARA, designed to reduce escalation in substance use. Methods We used social media advertisements to recruit youth (n=39; aged 16-24 years, who screened positive for past-month binge drinking or recreational cannabis use) with a waiver of parental consent. Participants used the MiSARA app for 30 days, with feasibility and acceptability data reported at a 1-month follow-up. We present descriptive data regarding behavior changes over time. Results The results show that most participants (31/39, 79%) somewhat liked the app at least, with most (29/39, 74%) rating MiSARA as 3 or more stars (out of 5). Almost all participants were comfortable with self-reporting sensitive information within the app (36/39, 92%); however, most participants also desired more interactivity (27/39, 69%). In addition, participants’ substance use declined over time, and those reporting using the app more often reported less substance use at the 1-month follow-up than those who reported using the app less often. Conclusions The findings suggest that the MiSARA app is a promising platform for JITAI delivery, with future trials needed to optimize the timing and dose of messages and determine efficacy.

Purpose To evaluate acceptability and feasibility of a theoretically based two-part (brief in-person + 8-week automated text message) depression prevention program, "intervention for DepressiOn and Violence prevention in the Emergency department" (iDOVE), for high-risk adolescents. Methods English-speaking emergency department (ED) patients (age 13–17, any chief complaint) were sequentially approached for consent on a convenience sample of shifts and screened for inclusion based on current depressive symptoms and past-year violence. After consent, baseline assessments were obtained; all participants were enrolled in the two-part intervention (brief in-ED + 8-week two-way text messaging). At 8 weeks, quantitative and qualitative follow-up assessments were obtained. Measures included feasibility, acceptability, and preliminary data on efficacy. Qualitative data were transcribed verbatim, double coded, and interpreted using thematic analysis. Quantitative results were analyzed descriptively and with paired t tests. Results As planned, 16 participants (eight each gender) were recruited (75% of those who were eligible; 66% nonwhite, 63% low income, mean age 15.4). The intervention had high feasibility and acceptability: 93.8% completed 8-week follow-up; 80% of daily text messages received responses; 31% of participants requested ≥1 "on-demand" text message. In-person and text message portions were rated as good/excellent by 87%. Qualitatively, participants articulated: (1) iDOVE was welcome and helpful, if unexpected in the ED; (2) the daily text message mood assessment was "most important"; (3) content was "uplifting"; and (4) balancing intervention "relatability" and automation was challenging. Participants' mean ΔBDI-2 (Beck Depression Inventory) from baseline to 8-week follow-up was −4.9, ( p = .02). Conclusions This automated preventive text message intervention is acceptable and feasible. Qualitative data emphasize the importance of creating positive, relevant, and interactive digital health tools for adolescents.

BACKGROUND Violent injury is the leading cause of death among urban youth. Emergency department (ED) visits represent an opportunity to deliver a brief intervention (BI) to reduce violence among youth seeking medical care in high-risk communities. OBJECTIVE The objective was to determine the efficacy of a universally applied BI addressing violence behaviors among youth presenting to an urban ED. METHODS ED youth (14 to 20 years old) seeking medical or injury-related care in a Level I ED (October 2011-March 2015) and screening positive for a home address within the intervention or comparison neighborhood of a larger youth violence project were enrolled in this quasi-experimental study. Based on home address, participants were assigned to receive either the 30-minute therapist-delivered BI (Project Sync) or a resource brochure (enhanced usual care [EUC] condition). The Project Sync BI combined motivational interviewing and cognitive skills training, including a review of participant goals, tailored feedback, decisional balance exercises, role-playing exercises, and linkage to community resources. Participants completed validated survey measures at baseline and a 2-month follow-up assessment. Main outcome measures included self-report of physical victimization, aggression, and self-efficacy to avoid fighting. Poisson and zero-inflated Poisson regression analyses analyzed the effects of the BI, compared to the EUC condition, on primary outcomes. RESULTS A total of 409 eligible youth (82% participation) were enrolled and assigned to receive either the BI (n = 263) or the EUC condition (n = 146). Two-month follow-up was 91% (n = 373). There were no significant baseline differences between study conditions. Among the entire sample, mean (±SD) age was 17.7 (±1.9) years, 60% were female, 93% were African American, and 79% reported receipt of public assistance. Of participants, 9% presented for a violent injury, 9% reported recent firearm carriage, 20% reported recent alcohol use, and 39% reported recent marijuana use. Compared with the EUC group, participants in the therapist BI group showed self-reported reductions in frequency of violent aggression (therapist, -46.8%; EUC, -36.9%; incident rate ratio [IRR] = 0.87; 95% confidence interval [CI] = 0.76 to 0.99) and increased self-efficacy for avoiding fighting (therapist, +7.2%; EUC, -1.3%; IRR = 1.09; 95% CI = 1.02 to 1.15). No significant changes were noted for victimization. CONCLUSIONS Among youth seeking ED care in a high-risk community, a brief, universally applied BI shows promise in increased self-efficacy for avoiding fighting and a decrease in the frequency of violent aggression.

While the relationship between underage drinking and injury has been well established, few studies have examined whether presenting for an acute injury moderates the efficacy of a brief intervention (BI) on alcohol misuse.Patients (aged 14-20 years) in the emergency department screening positive for risky drinking (Alcohol Use Disorders Identification Test-Consumption score) completed a baseline assessment, were randomized to conditions (a standalone computer-delivered BI [n = 277], a therapist-delivered BI [n = 278], or a control condition [n = 281]), and completed a 3-month follow-up. This secondary analysis of Project U-Connect examined regression models (controlling for baseline values) to examine the main effects of injury and the interaction effects of injury by BI condition on alcohol consumption and consequences.Among 836 youth enrolled in the randomized controlled trial (mean age, 18.6 years; 51.6% were male; 79.4% were white), 303 (36.2%) had a primary complaint of intentional or unintentional injury. At baseline, injured patients were more likely to be male (p0.001) and have higher alcohol consumption (p0.01), but were less likely to misuse prescription drugs (p = 0.02) than those presenting for medical reasons. Regression models (controlling for baseline values) demonstrated that injury presentation predicted greater alcohol consumption prior to a BI. The computer BI was more effective at reducing alcohol consequences among those presenting with injury than those presenting for other reasons. Injury did not affect the efficacy of the computer BI on alcohol consumption, and injury did not affect the efficacy of the therapist BI on alcohol outcomes.A therapist or computer BI reduced alcohol consumption and consequences among risky drinkers regardless of reason for emergency department presentation highlighting the opportunity to reach a broad array of youth. Although the therapist BI was not moderated by injury presentation, the computer BI was particularly effective at reducing alcohol consequences among those presenting with injury at 3-month follow-up.Therapeutic/care management study, level III.

Background: Rise in nonmedical use of prescription opioids (NMUPO) is an emerging public health problem in adolescents. To better understand risk factors for NMUPO and patterns of use over time, we examined trajectories of NMUPO among a sample of adolescents who presented to primary care clinics.Methods: Data were from 1076 adolescents ages 12–18, primarily African–American (62.6%) enrolled in a randomized controlled trial. Data were collected at baseline, 3, 6 and 12 months. Group-based trajectory modeling was used to empirically distinguish trajectory patterns of NMUPO over one year.Results: Trajectory analysis identified the following three NMUPO groups: nonusers (n = 969), decreasing users (n = 63) and high-sustained users (n = 44). Bivariate analyses showed African–American race was more common in nonusers (65%, N = 630) than in decreasing (41%, N = 26) and sustained users (41%, N = 18). All substance use and all other risk factors, except for lower class grades and less participation in scho...

Adolescents and young adults who use substances are at particularly high risk for contracting Human Immunodeficiency Virus (HIV). The Emergency Department (ED) is a critical location for HIV prevention for at-risk youth. To inform future interventions in the ED, this study identifies correlates of HIV risk behaviors among substance using youth seeking ED care. Among 600 14-24-year-olds with past 6-month drug use, bivariate correlates of HIV risk included: older age, female gender, depressive symptoms, alcohol use, marijuana use, other drug use, and dating, peer, and community violence. Regression analyses indicated that older age, marijuana use, and dating violence were positively related to HIV risk. Results suggest HIV prevention efforts for youth in the urban ED should address marijuana use and dating violence as well as sexual risk behaviors.

The Causes of Death in Children and Adolescents This report details the 10 leading causes for the 20,360 deaths of children and adolescents in the United States in 2016. The analysis also includes ...

OBJECTIVES Violence is one of the leading causes of death among youth ages 14 to 24. Hospital- and emergency department (ED)-based violence prevention programs are increasingly becoming a critical part of public health efforts; however, evaluation of prevention efforts is needed to create evidence-based best practices. Retention of study participants is key to evaluations, although little literature exists regarding optimizing follow-up methods for violently injured youth. This study aims to describe the methods for retention in youth violence studies and the characteristics of hard-to-reach participants. METHODS The Flint Youth Injury (FYI) Study is a prospective study following a cohort of assault-injured, drug-using youth recruited in an urban ED, and a comparison population of drug-using youth seeking medical or non-violence-related injury care. Validated survey instruments were administered at baseline and four follow-up time points (6, 12, 18, and 24 months). Follow-up contacts used a variety of strategies and all attempts were coded by type and level of success. Regression analysis was used to predict contact difficulty and follow-up interview completion at 24 months. RESULTS A total of 599 patients (ages 14-24) were recruited from the ED (mean ± SD age = 20.1 ± 2.4 years, 41.2% female, 58.2% African American), with follow-up rates at 6, 12, 18, and 24 months of 85.3%, 83.7% 84.2%, and 85.3%, respectively. Participant contact efforts ranged from two to 53 times per follow-up time frame to complete a follow-up appointment, and more than 20% of appointments were completed off site at community locations (e.g., participants' homes, jail/prison). Participants who were younger (p < 0.05) and female (p < 0.01) were more likely to complete their 24-month follow-up interview. Participants who sought care in the ED for assault injury (p < 0.05) and had a substance use disorder (p < 0.01) at baseline required fewer contact attempts to complete their 24-month follow-up, while participants reporting a fight within the immediate 3 months before their 24-month follow-up (p < 0.01) required more intensive contact efforts. CONCLUSIONS The FYI study demonstrated that achieving high follow-up rates for a difficult-to-track, violently-injured ED population is feasible through the use of established contact strategies and a variety of interview locations. Results have implications for follow-up strategies planned as part of other violence prevention studies.