• Author: Gretchen L. Haas
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Machine learning applications related to suicide in military and Veterans: A scoping literature review

Abstract: OBJECTIVE: Suicide remains one of the main preventable causes of death among service members and veterans. Early detection and accurate prediction are essential …

Psychiatric factors predict type 2 diabetes mellitus in US Veterans

Abstract: Co-occurrence of type 2 diabetes mellitus (T2D) and serious mental illnesses (SMI) is prevalent yet underappreciated, and significantly contributes to increased morbidity …

Longitudinal trends of sleep services for Veterans with and without serious mental illness in VA electronic health records

Abstract: Sleep problems commonly co-occur with serious mental illnesses (SMI) and are associated with negative outcomes, though may be underrecognized and undertreated. This study …

Design of a multicenter randomized controlled trial of a post-discharge suicide prevention intervention for high-risk psychiatric inpatients: The Veterans Coordinated Community Care Study

Abstract: Background: The period after psychiatric hospital discharge is one of elevated risk for suicide-related behaviors (SRBs). Post-discharge clinical outreach, although …

The impact of the global pandemic on Veterans with serious mental illness (smi): Healthcare utilization and mortality

Abstract: Background: Individuals with serious mental illness (SMI) experience barriers to accessing and engaging with healthcare, which may have been exacerbated during the …

Sleep and alcohol use among Veterans living with long COVID

Abstract: Objectives: Study objectives were to: (1) better understand sleep experiences and unhealthy alcohol use among Veterans with long COVID and (2) explore providers’ …