Quantifying relational change in community organisations participating in a Veteran suicide prevention learning collaborative: a social network analysis.

BACKGROUND: Veteran suicide remains a significant issue, as 17.5 Veterans die by suicide each day. The US Department of Veteran Affairs (VA) has implemented a robust suicide prevention program within its integrated behavioural health system. Further, the VA has increasingly contributed to suicide prevention in community settings, where a large proportion of Veterans receive health care and social services. One component integral to preventing suicide among Veterans receiving community services is ensuring that organisations are equipped with the latest evidence-based Veteran-specific suicide prevention strategies. METHODS: The Patient Safety Center of Inquiry-Suicide Prevention Collaborative piloted a Veteran suicide prevention learning collaborative in the Denver/Colorado Springs, CO region, spanning 16 months as a multimodal initiative to integrate community organisations and assist them in implementing Veteran suicide prevention strategies used within VA. Agencies completed social network analysis surveys at baseline (T1), year 1 (T2) and 16 months (T3) to examine social networks, partnerships and collaborations among community organisations and the VA over time. RESULTS: The quantity of learning collaborative relationships increased from 30 at T1 to 41 at T3 while the quality of relationships deepened over time from awareness and cooperative to more coordinated and integrated. CONCLUSION: Improvement in relationship quantity and quality facilitates community organisation engagement in collaborating to strengthen their Veteran suicide prevention programming. Learning collaboratives work with the individual organisation for intraorganisational facilitation of implementing suicide prevention strategies and engage and enhance interorganisational partnerships. This multimodal intervention can engage community organisations and provide a stronger safety net for Veterans at risk for suicide.

The Influence of Anxiety and Avoidant Coping on Probable Cannabis Use Disorder.

Objective: Individuals with anxiety frequently use cannabis to cope and are at greater risk for developing probable cannabis use disorder (CUD). Previous literature suggests avoidant coping styles are associated with higher anxiety levels and risk for problematic cannabis use, while action-oriented coping is associated with lower anxiety and problematic cannabis use. No studies have examined whether anxiety and action-oriented coping or avoidant coping interact to influence risk for CUD, which was the aim of the present study. Method: College students were recruited as part of a cross-sectional study on cannabis use. Participants (N = 371; 72.2% female) completed the Depression Anxiety and Stress Subscale (DASS-21), Cannabis Use Disorder Identification Test-Revised (CUDIT-R), and the Brief-COPE (B-COPE). Results: The data were analyzed using logistic moderation analysis. After controlling for gender, anxiety was a positive significant predictor of probable CUD, but action-oriented coping and avoidant coping were not. The interaction between anxiety and avoidant coping on probable CUD was significant, indicating that participants with high avoidant coping (regardless of high or low anxiety) and those with high anxiety (even with low avoidant coping) were more likely to have probable CUD than those with both low anxiety and low avoidant coping. No significant interaction was observed with action-oriented coping. Conclusions: Results suggest that avoidant coping, but not action-oriented coping, influences the relationship between anxiety and risk for probable CUD. Findings emphasize the importance of targeting both anxiety and avoidant coping when considering risk for probable CUD.

Suicide Prevention Programming: Comparing Four Prominent Frameworks.

OBJECTIVE: Suicide is a significant public health concern. About 48,000 individuals died by suicide in 2021 in the United States, and approximately one in 100 deaths globally are due to suicide. Continuing efforts in program development and evaluation are vital to preventing suicide. Multiple frameworks have been developed to reduce suicide rates, but they have not been compared to assess their comprehensiveness, nor have their components been classified. METHODS: In 2019, the authors conducted a narrative review of the literature and identified four major frameworks for suicide prevention: the U.S. Department of Veterans Affairs (VA) Suicide Prevention Program, the Defense Suicide Prevention Program of the U.S. Department of Defense, Zero Suicide in Health and Behavioral Health Care, and the technical package developed by the Centers for Disease Control and Prevention. Program components for these frameworks were identified and classified by using two prevention strategy classification systems: the National Academy of Medicine's (NAM's) continuum-of-care model and the Substance Abuse and Mental Health Services Administration's (SAMHSA's) prevention model. RESULTS: The cross-program comparison revealed that no single program included all components of suicide prevention programs. However, the VA program was the most comprehensive in terms of the number of components and their spread across prevention strategy classifications. The programs used few components categorized under NAM's promotion or selective prevention strategy classifications. The SAMHSA prevention strategy classifications of information dissemination, community-based processes, and positive alternatives were also used infrequently. CONCLUSIONS: Organizations, health care systems, and policy makers may use these findings as they develop, improve, and implement suicide prevention programs.

The influence of cannabis use disorder on post-traumatic stress disorder symptoms, depression symptoms, and non-suicidal self-injury among college students.

Objective: The interrelationships between cannabis use disorder (CUD), post-traumatic stress disorder (PTSD) and depressive symptoms, and non-suicidal self-injury (NSSI) were examined. Participants: Undergraduates (N = 363) who reported using cannabis within the past six months were recruited. Method: Mediation analyses was conducted to examine if CUD symptoms were indirectly associated with greater risk for engagement in current NSSI through more severe PTSD and depression symptoms. A factor comprised of PTSD-depression symptoms was created given PTSD and depression symptoms were highly correlated. Results: Greater CUD symptom severity indirectly increased risk for current NSSI via more severe PTSD-depression symptoms, after accounting for gender and alcohol use disorder symptoms. Conclusion: The current study provides preliminary evidence for the negative consequences of CUD on college students' mental health symptoms and engagement in NSSI, and future longitudinal research is needed to examine the dynamic relationships between CUD, PTSD-depression symptoms, and NSSI over time.

Incidences of anxiety disorders among active duty service members between 1999 and 2018.

PURPOSE: Anxiety disorders can impact the health, performance, and retention of military service members. To inform prevention initiatives and long-term treatment planning, incidence rates across anxiety disorders were evaluated among U.S. active-duty service members over a 20-year period. METHOD: Data were extracted from the Defense Medical Epidemiological Database to examine incidence rates of generalized anxiety disorder (GAD), panic disorder (PD), agoraphobia (AG), social anxiety disorder (SAD), obsessive compulsive disorder (OCD), agoraphobia with panic disorder (AWPD), agoraphobia without history of panic disorder (AWOPD), and unspecified anxiety disorder (UAD) among 151,844 service members between 1999 and 2018 in relation to sex, age, race, marital status, military pay grade, service branch. RESULTS: Incidence rates of anxiety disorders increased significantly over the 20-year period. Anxiety disorder incidence rates ranged widely from 0.01 to 23.70 (per 1000 service members). There were significant differences in observed versus expected diagnostic rates across all demographic variables examined (p < 0.001). CONCLUSION: Incidence rates varied considerably across the anxiety disorders, with UAD being the highest. These data highlight the importance of health care professionals attending to anxiety disorders, in order to plan for service member needs, develop preventative interventions, address early detection, and deliver treatments to improve combat readiness.