The bystander intervention for problematic alcohol use model (BIPAUM).

Objective: The study aimed to identify phases of bystander intervention (BI) for problematic alcohol use (PAU) among college students. Participants: Twenty focus groups and nine interviews were conducted. Methods: Transcripts were thematically analyzed. Results: The phases of the Bystander Intervention for Problematic Alcohol Use Model (BIPAUM) include: (1) plan in advance, (2) notice and interpret a sign, (3) decide (i.e., assume responsibility, assess support/feasibility to intervene, and identify intervention strategy), (4) intervene, and (5) assess outcomes. Assessing outcomes loops to influence future behavior and each phase is influenced by barriers and facilitators. Conclusions: These unique phases should be considered when designing and evaluating intervention programs for PAU to meet students' needs and better reduce PAU. Future research should empirically test the BIPAUM. The results of the current study demonstrate a promising opportunity for applying BI to PAU, with the goal of reducing risky drinking among college students.

A Systematic Review of Validated Measures of U.S.-Based Bystander Intervention-Related Constructs.

This review aimed to identify U.S.-based, construct-validated measures of bystander intervention. Following PRISMA-P guidelines, electronic databases were searched, and emails were solicited identifying 8,559 articles for title screening. Abstracts and full texts were double screened, resulting in 24 scales meeting inclusion criteria: (a) measured a bystander-related construct in a situation where there was a potential for actual or perceived imminent physical or emotional harm, (b) written in English, and (c) statistically validated on U.S. samples. Most scales addressed the domain of interpersonal violence (67%), with fewer relating to bias/bullying (8.2%), mental health crises (12.5%), and substance use (12.5%). Most scales (71%) assessed the "take action" step of the situational model. The modal construct represented was intent/willingness/likelihood to intervene (50%). The average number of items on a scale was 14, and most (79%) provided Likert-style response options. None of the validated scales assessing behavior first accounted for an opportunity. Sample sizes ranged from 163 to 3,397, with the modal setting from colleges. Overall, samples were young (21.8 years old), White (75%), women (64%), and heterosexual (89%). Results indicate the need to validate additional measures that capture the "interpreting the situation as problematic" step of the situational model. Scales also need to be validated using diverse samples, particularly within the mental health crisis domain. Across all domains, validated measures need to be developed that first account for an opportunity when measuring actual bystander behavior. The information gleaned can be used to assist researchers in selecting measures and guide future measure development.

Substance use-related suicide after release from correctional, behavioral health, and healthcare facilities using national violent death reporting system data.

INTRODUCTION: Suicide and substance use are prevalent problems among persons discharged from facilities. This study (1) articulated rates of substance-related suicide deaths among those discharged correctional, behavioral health, and healthcare facilities, and (2) identified factors associated with substance-related suicide deaths unique to, or generalizing across, facility discharge. METHODS: We used data from the National Violent Death Reporting System. Suicide deaths (N = 105,968) were aggregated from 2003 to 2017. Chi-square and independent samples t-tests were used to examine associations between drug/alcohol-related deaths and each correlate. Logistic regression was employed to identify the most robust substance-related suicide death-related factors. RESULTS: Suicide deaths were commonly marked as being substance-related: 69% from correctional institutions, 54% from behavioral health facilities, 45% from those not released from a facility, and 39% from healthcare facilities. Regression models indicated housing interruptions and interpersonal stressors increased odds of the suicide death being marked as substance-related across discharge categories. Each discharge category also had unique predictors, underscoring the need for tailored prevention. CONCLUSIONS: Substance-related suicide deaths are particularly common among adults discharged from correctional and behavioral health facilities. Findings are discussed with respect to community-focused, discharge planning, and clinical care suicide prevention strategies.