Evaluating the accuracy of the Veterans Health Administration's REACH VET suicide prediction model for legal involved Veterans

Abstract: The Veterans Health Administration's (VA) Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET) suicide prevention program uses a model …

Retraining the Veterans Health Administration’s REACH VET suicide risk prediction model for patients involved in the legal system

Abstract: Although patients with criminal legal system involvement have among the highest rates of suicide, the model that identifies patients at high risk of suicide at the United …

Predicting suicide attempts among US Army soldiers using information available at the time of periodic health assessments

Abstract: The value of population screening for suicide risk remains unclear. The US Army's annual medical examination, the Periodic Health Assessment (PHA), screens for …

Modernizing surgical quality: A novel approach to improving detection of surgical site infections in the Veteran population

Abstract: Introduction: Surgical site infections (SSIs) are an important quality measure. Identifying SSIs often relies upon a time-intensive manual review of a sample of common …

Candidate genes from an FDA-approved algorithm fail to predict opioid use disorder risk in over 450,000 Veterans

Abstract: Importance: Recently, the Food and Drug Administration gave pre-marketing approval to algorithm based on its purported ability to identify genetic risk for opioid use …

Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members

Abstract: Background: Atherosclerotic cardiovascular disease (ASCVD) is the third leading cause of death in women service members and veterans. This study assessed …