Abstract
The value of population screening for suicide risk remains unclear. The U.S. Army's annual medical examination, the Periodic Health Assessment (PHA), screens for suicidality and other mental and physical health problems. This 2014-2019 cohort study used PHA and Army administrative data (n=1,042,796 PHAs from 452,473 soldiers) to develop a model to predict 6-month nonfatal and fatal suicide attempts (SAs). The model was designed to establish eligibility for a planned high-risk SA prevention intervention. The PHA suicide risk screening questions had limited value, as 95% of SAs occurred among soldiers who denied suicidality. However, a simple lasso penalized regression model that included a wide range of administrative predictors had good test sample discrimination (0.794 [SE=0.009] area under the receiver operating characteristic curve) and calibration (0.0001 integrated calibration index). The 25% of soldiers at highest predicted risk accounted for 69.5% of 6-month SAs, supporting use of the model to target preventive interventions.