A Multidisciplinary Approach to Screen Deployment-Limiting Health Conditions.

INTRODUCTION: Disease non-battle injuries (DNBIs) are responsible for the majority of hospital admissions for soldiers in combat since the Vietnam War The U.S. Army prepares soldiers to deploy through a multistage process known as the Soldier Readiness Program (SRP). The current processes are reactive and address deployment-limiting health conditions (DLHCs) and the need for intervention and/or medical waivers late in the SRP process. This may compromise the quality and efficiency of pre-deployment medical clearance and result in DNBI medical evacuation from theater, which is costly and reduces the effectiveness of the unit. Implementation of a proactive and standardized screening process focused on behavioral health-related medical evacuations and psychotropic medication use will facilitate timely and effective interventions to improve readiness. METHODOLOGY: The primary objective of this proof-of-concept (POC) study was to develop a standardized and sustainable process, known as the deployment-limiting medication (DLM) surveillance process, to screen soldiers for DLHCs that prevent mobilization. The A-3 performance improvement model was utilized to identify the root causes of limitations with the current medical SRP and to develop solutions. This process utilized the DLHC tool, a report created by the Defense Health Agency, as a basis to identify soldiers that require continued chart review based on prescription fill history. The results of the report were further assessed using published deployment eligibility standards and focused on psychotropic medications. Secondary measures [included] validation of the DLHC tool by assessing the accuracy of the DLHC report. This was determined by the proportion of soldiers screened who actually required intervention and/or waivers per deployment policy. This study took place within an Infantry Brigade Combat Team (IBCT). RESULTS: From August 2019 to March 2020, 959 soldiers in the IBCT were screened under the DLM surveillance process for DLHCs related to mental health and psychotropic medication use. The percentage of completed screenings of psychotropic-related DLHCs in the IBCT reached 100% after 3 months of implementing this POC study. After thorough chart review, a total of 421 soldiers met criteria for a medical intervention and/or waiver with 8% of these soldiers identified with a preexisting medical profile. The DLHC tool's ability to use medication history to accurately predict the need for an intervention and/or medical waiver was 59% (654/1,112 medications). Soldiers identified using the DLM surveillance process that did not meet criteria predominately involved antidepressant, anticonvulsant, and central nervous system DLHC categories. If the psychotropic-related DLHC categories are optimized in future reports, the report's accuracy may be increased to 90% while decreasing the time to complete the monthly review. CONCLUSION: The DLM surveillance measures were successfully incorporated into the SRP process to proactively screen for DLHCs. Early identification of DLHCs allowed for proper identification of medical intervention and/or waiver needs and may decrease deployment complications. This process may help to improve a soldier's deployability and improve overall readiness of the IBCT.

The Predictive Validity of the Beck Depression Inventory Suicide Item.

OBJECTIVE: The current study examines the predictive validity of the Beck Depression Inventory (BDI) suicide item for death by suicide and suicide attempts. METHOD: The study included 2 samples: (1) 5,200 psychiatric outpatients who were evaluated between 1975 and 1995 and followed prospectively for up to 20 years (all psychiatric diagnoses based on DSM-III and DSM-III-R), and (2) 119 patients who, between 2000 and 2004, participated in a randomized controlled trial of outpatient Cognitive Therapy for Suicide Prevention after a suicide attempt and were followed for 18 months (all psychiatric diagnoses based on DSM-IV-TR). All patients completed structured diagnostic interviews, as well as the BDI and Scale for Suicide Ideation. RESULTS: Cox regression models demonstrated that the BDI suicide item significantly predicted both deaths by suicide (Wald χ(2)1 = 35.67; P < .001 [N = 5,200]) and repeat suicide attempts (Wald χ(2)1 = 8.82; P < .01 [N = 119]), with each successive rating on the item conferring greater risk. Using receiver operating characteristic (ROC) curves, optimal cutoff scores of 1 and above for suicide and 2 and above for suicide attempts were identified as providing the best balance between sensitivity and specificity. CONCLUSIONS: The BDI suicide item is associated with both risk of repeat suicide attempts and death by suicide. The use of the item as a brief, efficient screen for suicide risk in routine clinical care is recommended. Clinicians would then conduct a comprehensive suicide risk assessment in response to a positive screen. Future research examining the item's performance in other at-risk groups (ie, older adults, adolescents, inpatients, etc) is encouraged.