RESUMO
Description: In May 2019, the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) approved an update to the 2013 joint clinical practice guideline for assessing and managing patients who are at risk for suicide. This guideline provides health care providers with a framework by which to screen for, evaluate, treat, and manage the individual needs and preferences of VA and DoD patients who may be at risk for suicide. Methods: In January 2018, the VA/DoD Evidence-Based Practice Work Group convened to develop a joint VA/DoD guideline including clinical stakeholders and conforming to the National Academy of Medicine's tenets for trustworthy clinical practice guidelines. The guideline panel drafted key questions, systematically searched and evaluated the literature through April 2018, created algorithms, and advanced 22 recommendations in accordance with the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. Recommendations: This synopsis, which includes 3 clinical practice algorithms, summarizes the key recommendations of the guideline related to screening and evaluation, risk management and treatment, and other management methods. Risk management and treatment recommendations address both pharmacologic and nonpharmacologic approaches for patients with suicidal ideation and behavior. Other management methods address lethal means safety (such as restricting access to firearms, poisons, and medications and installing barriers to prevent jumping from lethal heights) and population health strategies.
Assuntos
Ideação Suicida , Prevenção do Suicídio , Algoritmos , Antidepressivos/uso terapêutico , Intervenção em Crise , Terapia do Comportamento Dialético , Humanos , Ketamina/uso terapêutico , Compostos de Lítio/uso terapêutico , Fatores de Risco , Suicídio/estatística & dados numéricos , Estados Unidos/epidemiologia , Veteranos/psicologiaRESUMO
IMPORTANCE: The US Army experienced a sharp increase in soldier suicides beginning in 2004. Administrative data reveal that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric disorder. OBJECTIVE: To develop an actuarial risk algorithm predicting suicide in the 12 months after US Army soldier inpatient treatment of a psychiatric disorder to target expanded posthospitalization care. DESIGN, SETTING, AND PARTICIPANTS: There were 53,769 hospitalizations of active duty soldiers from January 1, 2004, through December 31, 2009, with International Classification of Diseases, Ninth Revision, Clinical Modification psychiatric admission diagnoses. Administrative data available before hospital discharge abstracted from a wide range of data systems (sociodemographic, US Army career, criminal justice, and medical or pharmacy) were used to predict suicides in the subsequent 12 months using machine learning methods (regression trees and penalized regressions) designed to evaluate cross-validated linear, nonlinear, and interactive predictive associations. MAIN OUTCOMES AND MEASURES: Suicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge. RESULTS: Sixty-eight soldiers died by suicide within 12 months of hospital discharge (12.0% of all US Army suicides), equivalent to 263.9 suicides per 100,000 person-years compared with 18.5 suicides per 100,000 person-years in the total US Army. The strongest predictors included sociodemographics (male sex [odds ratio (OR), 7.9; 95% CI, 1.9-32.6] and late age of enlistment [OR, 1.9; 95% CI, 1.0-3.5]), criminal offenses (verbal violence [OR, 2.2; 95% CI, 1.2-4.0] and weapons possession [OR, 5.6; 95% CI, 1.7-18.3]), prior suicidality [OR, 2.9; 95% CI, 1.7-4.9], aspects of prior psychiatric inpatient and outpatient treatment (eg, number of antidepressant prescriptions filled in the past 12 months [OR, 1.3; 95% CI, 1.1-1.7]), and disorders diagnosed during the focal hospitalizations (eg, nonaffective psychosis [OR, 2.9; 95% CI, 1.2-7.0]). A total of 52.9% of posthospitalization suicides occurred after the 5% of hospitalizations with highest predicted suicide risk (3824.1 suicides per 100,000 person-years). These highest-risk hospitalizations also accounted for significantly elevated proportions of several other adverse posthospitalization outcomes (unintentional injury deaths, suicide attempts, and subsequent hospitalizations). CONCLUSIONS AND RELEVANCE: The high concentration of risk of suicide and other adverse outcomes might justify targeting expanded posthospitalization interventions to soldiers classified as having highest posthospitalization suicide risk, although final determination requires careful consideration of intervention costs, comparative effectiveness, and possible adverse effects.