ArticleNpj mental health research2025
Evaluating the accuracy of the Veterans Health Administration's REACH VET suicide prediction model for legal involved veterans.
Article in Npj mental health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Authors and funding
3 authors.
Funding
Abstract
The Veterans Health Administration's (VA) Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET) suicide prevention program uses a model that estimates every patient's suicide risk. We evaluated predictive accuracy of that model for death by suicide, and separately for the combined outcome of suicide attempt or death, for all VA patients and for patients with criminal legal system involvement who have one of the highest suicide rates among VA users. We found that the model has low accuracy for the prediction of death by suicide (positive predictive value = 0.05% overall, 0.10% for legal-involved; false negative rate = 98.1% overall, 82.4% for legal-involved). For the combined outcome, model accuracy was better and more so for legal-involved veterans, but overall still low. While the REACH VET program has been shown to have benefits, the underlying model that identifies patients at high risk of suicide needs improvement.
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