Human Trafficking in Correctional Institutions: A Survey of Correctional and Anti-Trafficking Leaders.

Growing awareness of the overlap between justice involvement and human trafficking victimization has led to calls for correctional institutions to prevent, identify, and respond to trafficking. However, it is unclear how correctional facilities (i.e., jails and prisons) are responding to such calls to action. To examine current efforts to address human trafficking in U.S. correctional facilities, this study surveyed correctional and anti-trafficking leaders (n = 46) about their perceptions and experiences with human trafficking screening, response, and training in correctional facilities. Although the majority of leaders (89%) agreed individuals in their state's correctional facilities have experienced human trafficking, they generally did not perceive that correctional staff were prepared to respond. Bivariate tests revealed that correctional and anti-trafficking leaders differed on their perceptions regarding correctional staffs' knowledge about human trafficking risk factors (p = .014), identification ability (p = .006), and response knowledge (p = .036), with anti-trafficking leaders perceiving correctional staff to be less prepared in these areas. Approximately 16% of leaders reported strategies to identify and respond to trafficking in correctional facilities, and about 27% reported human trafficking training for corrections staff. To promote a just society, study findings offer preliminary guidance for anti-trafficking correctional initiatives and future research.

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.