Prevention Science最新文献

Violence in the home, including partner violence, child abuse, and elder abuse, is pervasive in the United States. An informatics approach allowing automated analysis of administrative data to identify domestic assaults and release timely and localized data would assist preventionists to identify geographic and demographic populations of need and design tailored interventions. This study examines the use of an established national dataset, the NEMSIS 2019, as a potential annual automated data source for domestic assault surveillance. An algorithm was used to identify individuals who utilized emergency medical services (EMS) for a physical assault in a private residence (N = 176,931). Descriptive analyses were conducted to define the identified population and disposition of patients. A logistic regression was performed to predict which characteristics were associated with consistent domestic assault identification by the on-scene EMS clinician and dispatcher. The sample was majority female (52.2%), White (44.7%), urban (85.5%), and 21-29 years old (24.4%). A disproportionate number of those found dead on scene were men (74.5%), and female patients more often refused treatment (57.8%) or were treated and then released against medical advice (58.4%). Domestic assaults against children and seniors had higher odds of being consistently identified by both the dispatcher and EMS clinician than those 21-49, and women had lower odds of consistent identification than men. While a more specific field to identify the type of domestic assault (e.g., intimate partner) would help inform specialized intervention planning, these data indicate an opportunity to systematically track domestic assaults in communities and describe population-specific needs.

To understand the current state of research, a systematic review and meta-analysis were conducted to synthesize the effects of suicide prevention gatekeeper training (GKT) on participant behavioral intention to intervene and participant suicide intervention behaviors. Included studies examined GKT with adult participants and measured either behavioral intention to conduct a suicide intervention or the utilization of suicide intervention skills. Searches yielded a total of 43 studies from 46 reports, comprising 21,720 participants. To quantify change over time, the standardized mean gain effect size metric was utilized. Large effect sizes were found for behavioral intention from pre-training to post-training (1.03, 95% CI [0.80, 1.25]) and short-term follow-up (0.78, 95% CI [0.59, 0.97]). Smaller effect sizes were found for intervention behavior from pre-training to short-term (0.33, 95% CI [0.21, 0.46]) and long-term follow-up (0.22, 95% CI [0.14, 0.30]). Although this meta-analysis reveals a positive effect for GKT on behavioral outcomes, the low methodological quality of the currently available evidence limits the ability to draw conclusions from the synthesis. This work informs policymakers and interventionists on best practices for GKT and highlights that additional, rigorous research is needed.

In a group randomized trial of 45 elementary schools, a whole-child health and wellness curriculum introduced as a regular part of the educational programming was compared to education as usual over 2 years with a 2-year follow-up. The curriculum focused on integrating multiple SEL skills-mindfulness, compassion, and physical awareness-with the intent to advantage developmental patterns for these skills, academic engagement, personal well-being, and student behavior. The program design and trial implementation were launched with end-use delivery and long-term sustainability as integral considerations. Effects were shown for several SEL skills and behavioral indicators previously robustly correlated to long-term outcomes. Effects were demonstrated more broadly in schools serving high-poverty communities, suggesting the impact was stronger where the need was greater. Results are interpreted regarding supporting school-based SEL, the potential of applying group randomized trials with end-use conditions of implementation, and the value of fitting innovation efforts to school system operations, mandates, and priorities for promoting sustainability.