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Importance: The Veterans Health Administration (VHA) implemented a national clinical program using a suicide risk prediction algorithm, Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET), in which clinicians facilitate care enhancements for individuals identified in local top 0.1% suicide risk tiers. Evaluation studies are needed., Objective: To determine associations with treatment engagement, health care utilization, suicide attempts, safety plan documentation, and 6-month mortality., Design, Setting, and Participants: This cohort study used triple differences analyses comparing 6-month changes in outcomes after vs before program entry for individuals entering the REACH VET program (March 2017-December 2018) vs a similarly identified top 0.1% suicide risk tier cohort from prior to program initiation (March 2014-December 2015), adjusting for trends across subthreshold cohorts. Subcohort analyses (including individuals from March 2017-June 2018) evaluated difference-in-differences for cause-specific mortality using death certificate data. The subthreshold cohorts included individuals in the top 0.3% to 0.1% suicide risk tier, below the threshold for REACH VET eligibility, from the concurrent REACH VET period and from the pre-REACH VET period. Data were analyzed from December 2019 through September 2021., Exposures: REACH VET-designated clinicians treatment reevaluation and outreach for care enhancements, including safety planning, increased monitoring, and interventions to enhance coping., Main Outcomes and Measures: Process outcomes included VHA scheduled, completed, and missed appointments; mental health visits; and safety plan documentation and documentation within 6 months for individuals without plans within the prior 2 years. Clinical outcomes included mental health admissions, emergency department visits, nonfatal suicide attempts, and all-cause, suicide, and nonsuicide external-cause mortality., Results: A total of 173 313 individuals (mean [SD] age, 51.0 [14.7] years; 161 264 [93.1%] men and 12 049 [7.0%] women) were included in analyses, including 40 816 individuals eligible for REACH VET care and 36 604 individuals from the pre-REACH VET period in the top 0.1% of suicide risk. The REACH VET intervention was associated with significant increases in completed outpatient appointments (adjusted triple difference [ATD], 0.31; 95% CI, 0.06 to 0.55) and proportion of individuals with new safety plans (ATD, 0.08; 95% CI, 0.06 to 0.10) and reductions in mental health admissions (ATD, -0.08; 95% CI, -0.10 to -0.05), emergency department visits (ADT, -0.03; 95% CI, -0.06 to -0.01), and suicide attempts (ADT, -0.05; 95% CI, -0.06 to -0.03). Subcohort analyses did not identify differences in suicide or all-cause mortality (eg, age-and-sex-adjusted difference-in-difference for suicide mortality, 0.0007; 95% CI, -0.0006 to 0.0019)., Conclusions and Relevance: These findings suggest that REACH VET implementation was associated with greater treatment engagement and new safety plan documentation and fewer mental health admissions, emergency department visits, and suicide attempts. Clinical programs using risk modeling may be effective tools to support care enhancements and risk reduction.

Objectives: To assess outcomes for Veterans Health Administration (VHA) patients following calls to the Veterans Crisis Line (VCL)., Methods: 158,927 VHA patients had an initial VCL call in 2010-2015 with documented identifiers. Multivariable proportional hazards regressions assessed risks of suicide and suicide-related behavior through 12 months. Covariates included age, sex, region, mental health encounters in the prior year, time of day, weekday/weekend status, call outcome, and responder determination of caller risk., Results: Annualized suicide rates per 100,000 within 1, 3, 6, and 12 months were 797, 520, 387, and 298, respectively. Average age was 49.9 (SD = 15.2), 86.5% were male, 68.6% received mental health encounters in the prior year, and 5.9% had calls categorized as at high risk. Adjusting for covariates, suicide risk was greater among male callers and those with calls categorized as at high or moderate risk., Conclusions: Veterans Crisis Line serves a high-risk population at a critical time. Rates were particularly high within one month and remained substantially elevated through 12 months. Findings have directly informed ongoing efforts to enhance coordination between VCL and VHA to support suicide prevention., (© Published 2020. This article has been contributed to by US Government employees and their work is in the public domain in the USA.)

Objective: To determine patterns of mental health service use before and after VA disability compensation awards for posttraumatic stress disorder (PTSD)., Data Sources: A 10 percent random sample of VHA-enrolled Veterans with new or increased PTSD service connection between 2012 and 2014 (n = 22,249)., Study Design: We used latent trajectory analysis to identify utilization patterns and multinomial logistic regression to assess associations between Veteran characteristics and trajectory membership., Data Extraction Methods: We assessed receipt of VHA mental health encounters in each of the 52 weeks prior to and following PTSD disability rating or rating increase., Principal Findings: The best fitting model had five groups: No Use (36.6 percent), Low Use (37.7 percent), Increasing Use (9.4 percent), Decreasing Use (11.2 percent), and High Use (5.1 percent). Adjusting for demographic characteristics and compared with the No Use group, Veterans in the other groups were more likely to reside closer to a VHA facility, receive a higher PTSD disability rating, and screen positive for military sexual trauma., Conclusions: Service use remained stable (80 percent) or increased (9 percent) for the vast majority of Veterans. Service utilization declined for only 11 percent. Data did not indicate substantial service discontinuation following rating. Low VHA service utilization suggests opportunities to enhance outreach for Veterans with PTSD-related disability benefits., (Published 2018. This article is a U.S. Government work and is in the public domain in the USA.)

Objectives: The Veterans Health Administration (VHA) evaluated the use of predictive modeling to identify patients at risk for suicide and to supplement ongoing care with risk-stratified interventions., Methods: Suicide data came from the National Death Index. Predictors were measures from VHA clinical records incorporating patient-months from October 1, 2008, to September 30, 2011, for all suicide decedents and 1% of living patients, divided randomly into development and validation samples. We used data on all patients alive on September 30, 2010, to evaluate predictions of suicide risk over 1 year., Results: Modeling demonstrated that suicide rates were 82 and 60 times greater than the rate in the overall sample in the highest 0.01% stratum for calculated risk for the development and validation samples, respectively; 39 and 30 times greater in the highest 0.10%; 14 and 12 times greater in the highest 1.00%; and 6.3 and 5.7 times greater in the highest 5.00%., Conclusions: Predictive modeling can identify high-risk patients who were not identified on clinical grounds. VHA is developing modeling to enhance clinical care and to guide the delivery of preventive interventions.