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Background: The CSP590 randomized trial was designed to estimate the effect of lithium on suicidality. After a third of the intended number of participants were enrolled, the hazard ratio of suicidality was 1.10 (95% CI: 0.77, 1.55). Based on this, the trial was stopped for futility. However, only 17% of patients adhered to the specified protocol., Aims: The objective was to estimate the per-protocol effect of lithium on suicidality, that is, the effect of adhering to the treatment strategies as specified in the protocol., Methods: We stopped individuals' follow-up if/when they showed evidence of nonadherence. We then conducted the analysis in the restricted sample, adjusting for prognostic factors that predict adherence via inverse probability weighting. The primary outcome was the 12-month risk of suicidality (including death from suicide, suicide attempt, interrupted attempt, hospitalization specifically to prevent suicide)., Results: The estimated 12-month risk of suicidality was 18.8% for lithium, and 24.3% for placebo. The risk ratio was 0.78 (95% CI: 0.43, 1.37) and the risk difference -5.5 percentage points (95% CI: -17.5, 5.5). Results were consistent across sensitivity analyses., Conclusions: With one-third of the targeted sample size, lithium effects (compared with placebo) ranging between a 17.5% reduction and a 5.5% increase in the risk of suicidality were highly compatible with the data. Thus, a protective effect of lithium on suicidality among patients with bipolar disorder or major depressive disorder cannot be ruled out. Trials should incorporate adequate per-protocol analyses into the decision-making processes for stopping trials for futility.

The U.S. Veterans Health Administration developed a suicide prediction statistical model and implemented a novel clinical program, Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET). This high-value suicide prevention program aims to efficiently identify patients at risk and connect them with care. Starting in April 2017, national REACH VET metric data were collected from electronic health records to evaluate required task completion. By October 2020, 98% of veterans identified (N=6,579) were contacted by providers and had their care evaluated. In the nation's largest health care system, it was feasible to implement a clinical program based on a suicide prediction model.

Background: Cancer diagnoses are associated with an increased risk for suicide. The aim of this study was to evaluate this association among Veterans receiving Veterans Health Administration (VHA) care, a population that has an especially high suicide risk., Methods: Among 4,926,373 Veterans with VHA use in 2011 and in 2012 or 2013, and without VHA cancer diagnoses in 2011, we assessed suicide risk following incident cancer diagnoses. Risk time was from initial VHA use in 2012-2013 to 12/31/2018 or death, whichever came first. Cox proportional hazards regression models evaluated associations between new cancer diagnoses and suicide risk, adjusting for age, sex, VHA regional network, and mental health comorbidities. Suicide rates were calculated among Veterans with new cancer diagnoses through 84 months following diagnosis., Results: A new cancer diagnosis corresponded to a 47% higher suicide risk (Adjusted Hazard Ratio [aHR] = 1.47, 95% CI: 1.33-1.63). The cancer subtype associated with the highest suicide risk was esophageal cancer (aHR = 6.01, 95% CI: 3.73-9.68), and other significant subtypes included head and neck (aHR = 3.55, 95% CI: 2.74-4.62) and lung cancer (aHR = 2.35, 95% CI: 1.85-3.00). Cancer stages 3 (aHR = 2.36, 95% CI: 1.80-3.11) and 4 (aHR = 3.53, 95% CI: 2.81-4.43) at diagnosis were positively associated with suicide risk. Suicide rates were highest within 3 months following diagnosis and remained elevated in the 3-6- and 6-12-month periods following diagnosis., Conclusion: Among Veteran VHA users, suicide risk was elevated following new cancer diagnoses. Risk was particularly high in the first 3 months. Additional screening and suicide prevention efforts may be warranted for VHA Veterans newly diagnosed with cancer., (Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Cancer Medicine published by John Wiley & Sons Ltd.)

Introduction: Veterans who receive Veterans Health Administration (VHA) Home Based Primary Care (HBPC) services and those discharged from VHA Community Living Centers (CLC) may be at increased risk of suicide. No studies to date have assessed suicide risks among HBPC patients. This study examined suicide risks among recipients of VHA HBPC services and following discharge from VHA CLCs, as compared to other Veteran VHA users., Methods: We identified three cohorts of 2013 Veteran VHA patients: 47,842 HBPC users, 17,725 with live discharges from CLCs, and 5,554,635 other VHA users. Using proportional hazards regression, we assessed risk of suicide through 2016., Results: Overall, HBPC recipients did not differ from the other cohorts in suicide risk. Although in unadjusted analyses CLC discharged patients had greater suicide risk than the general VHA patient cohort (hazard ratio (HR) = 1.73, 95% confidence interval = 1.25-2.41), this became nonsignificant when controlling for diagnoses., Conclusions: Overall findings did not identify differential suicide risk among VHA HBPC recipients in 2013, when compared to other Veteran VHA patient cohorts. Veterans discharged from VHA CLCs have increased mental health morbidity, which was associated with increased suicide risk., (© Published 2021. This article is a U.S. Government work and is in the public domain in the USA.)

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.)

Importance: The Veterans Health Administration (VHA) serves a population of veterans with a high prevalence of comorbid health conditions and increased risk for suicide., Objective: To replicate the findings of a previous study and assess whether exposure to angiotensin receptor blockers (ARBs) is associated with differential suicide risk compared with angiotensin-converting enzyme inhibitors (ACEIs) among veterans receiving VHA care., Design, Setting, and Participants: This nested case-control design included all suicide decedents from 2015 to 2017 with a VHA inpatient or outpatient encounter in the prior year and with either an active ACEI or ARB prescription in the 100 days prior to death. Using a 4:1 ratio, controls were matched to cases by age, sex, and hypertension and diabetes diagnoses. Controls were alive at the time of the death of the matched case, had a VHA encounter within the previous year, and had either an active ACEI or ARB medication fill within 100 days before the death of the matched case., Exposures: An active ACEI or ARB prescription within 100 days before the death of the case., Main Outcomes and Measures: Cases were suicide decedents from 2015 to 2017 per National Death Index search results included in the Veteran Affairs/Department of Defense Mortality Data Repository., Results: Among 1309 cases, the median (interquartile range [IQR]) age was 68 (60-76) years and among 5217 controls, the median (IQR) age was 67 (60-76) years, and 1.9% of veterans in both groups were female. ARBs were received by 20.2% of controls and 19.6% of cases; ACEIs were received by 79.8% of controls and 80.4% of cases. The crude suicide odds ratio for ARBs vs ACEIs was 0.966 (95% CI, 0.828-1.127). Controlling for covariates, the adjusted odds ratio for ARBs was 0.985 (95% CI, 0.834-1.164). Sensitivity analyses using only those covariates that differed significantly between groups, restricting to veterans ages 65 and older, dropping matching criteria, and adjusting for the quantity and temporal proximity of ACEI and ARB exposure in the 100 days prior to the index date, had consistent findings., Conclusions and Relevance: This case-control study did not identify differences in suicide risk by receipt of ARBs vs ACEIs in analyses specific to veterans receiving VHA care in contrast with findings from the referent study.

Objectives: The US Veterans Health Administration (VHA) has begun using predictive modeling to identify Veterans at high suicide risk to target care. Initial analyses are reported here., Methods: A penalized logistic regression model was compared with an earlier proof-of-concept logistic model. Exploratory analyses then considered commonly-used machine learning algorithms. Analyses were based on electronic medical records for all 6,360 individuals classified in the National Death Index as having died by suicide in fiscal years 2009-2011 who used VHA services the year of their death or prior year and a 1% probability sample of time-matched VHA service users alive at the index date (n = 2,112,008)., Results: A penalized logistic model with 61 predictors had sensitivity comparable to the proof-of-concept model (which had 381 predictors) at target thresholds. The machine learning algorithms had relatively similar sensitivities, the highest being for Bayesian additive regression trees, with 10.7% of suicides occurred among the 1.0% of Veterans with highest predicted risk and 28.1% among the 5.0% of with highest predicted risk., Conclusions: Based on these results, VHA is using penalized logistic regression in initial intervention implementation. The paper concludes with a discussion of other practical issues that might be explored to increase model performance., (Copyright © 2017 John Wiley & Sons, Ltd.)

Background and Aims: Limited information is available regarding links between specific substance use disorders (SUDs) and suicide mortality; however, the preliminary evidence that is available suggests that suicide risk associated with SUDs may differ for men and women. This study aimed to estimate associations between SUDs and suicide for men and women receiving Veterans Health Administration (VHA) care., Design: A cohort study using national administrative health records., Setting: National VHA system, USA., Participants: All VHA users in fiscal year (FY) 2005 who were alive at the beginning of FY 2006 (n = 4 863 086)., Measurements: The primary outcome of suicide mortality was assessed via FY 2006-2011 National Death Index (NDI) records. Current SUD diagnoses were the primary predictors of interest, and were assessed via FY 2004-2005 VHA National Patient Care Database (NPCD) records., Findings: In unadjusted analyses, a diagnosis of any current SUD and the specific current diagnoses of alcohol, cocaine, cannabis, opioid, amphetamine and sedative use disorders were all associated significantly with increased risk of suicide for both males and females [hazard ratios (HRs)] ranging from 1.35 for cocaine use disorder to 4.74 for sedative use disorder for men, and 3.89 for cannabis use disorder to 11.36 for sedative use disorder for women]. Further, the HR estimates for the relations between any SUD, alcohol, cocaine and opioid use disorders and suicide were significantly stronger for women than men (P < 0.05). After adjustment for other factors, most notably comorbid psychiatric diagnoses, associations linking SUDs with suicide were attenuated markedly and the greater suicide risk among females was observed for only any SUD and opioid use disorder (P < 0.05)., Conclusions: Current substance use disorders (SUDs) signal increased suicide risk, especially among women, and may be important markers to consider including in suicide risk assessment strategies. None the less, other co-occurring psychiatric disorders may partially explain associations between SUDs and suicide, as well as the observed excess suicide risk associated with SUDs among women., (Published 2017. This article is a U.S. Government work and is in the public domain in the USA.)

Objective: Frequency of suicidal ideation in the past two weeks, assessed by item 9 of the nine-item Patient Health Questionnaire (PHQ-9), has been positively associated with suicide mortality among patients in a setting other than the Veterans Health Administration (VHA). To inform suicide prevention activities at the VHA, it is important to evaluate whether item 9 is associated with suicide risk among patients in the VHA system., Methods: PHQ-9 assessments (N=447,245) conducted by the VHA between October 1, 2009, and September 30, 2010, were collected. National Death Index data were used to ascertain suicide mortality from the date of PHQ-9 assessment through September 30, 2011. Multivariable proportional hazards regressions were used to evaluate associations between responses to item 9 and suicide mortality., Results: After the analyses adjusted for covariates, a response of "several days" for item 9 was associated with a 75% increased risk of suicide (hazard ratio [HR]=1.75, 95% confidence interval [CI]=1.24-2.46), a response of "more than half the days" was associated with a 115% increased risk of suicide (HR=2.15, CI=1.32-3.51), and a response of "nearly every day" was associated with a 185% increased risk of suicide (HR=2.85, CI=1.81-4.47), compared with a response of "not at all." However, 71.6% of suicides during the study period occurred among patients who responded "not at all" to item 9 from their most recent PHQ-9., Conclusions: Higher levels of suicidal ideation, indicated by item 9 of the PHQ-9, were associated with increased risk of suicide among patients in the VHA system.

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.

Background: Post-traumatic stress disorder (PTSD) confers risk for suicidal ideation and suicide attempts but a link with suicide is not yet established. Prior analyses of users of the Veterans health administration (VHA) Health System suggest that other mental disorders strongly influence the association between PTSD and suicide in this population. We examined the association between PTSD and suicide in VHA users, with a focus on the influence of other mental disorders., Methods: Data were based on linkage of VA National Patient Care Database records and the Centers for Disease Control and Prevention׳s National Death Index, with data from fiscal year 2007-2008. Analyses were based on multivariate logistic regression and structural equation models., Results: Among users of VHA services studied (N=5,913,648), 0.6% (N=3620) died by suicide, including 423 who had had been diagnosed with PTSD. In unadjusted analysis, PTSD was associated with increased risk for suicide, with odds ratio, OR (95% confidence interval, 95% CI)=1.34 (1.21, 1.48). Similar results were obtained after adjustment for demographic variables and veteran characteristics. After adjustment for multiple other mental disorder diagnoses, PTSD was associated with decreased risk for suicide, OR (95% CI)=0.77 (0.69, 0.86). Major depressive disorder (MDD) had the largest influence on the association between PTSD and suicide., Limitations: The analyses were cross-sectional. VHA users were studied, with unclear relevance to other populations., Conclusion: The findings suggest the importance of identifying and treating comorbid MDD and other mental disorders in VHA users diagnosed with PTSD in suicide prevention efforts., (Published by Elsevier B.V.)

Objectives: Associations between BMI and suicide risks and methods for individuals receiving care in the Veterans Health Administration (VHA) health system were evaluated., Design and Methods: For 4,005,640 patients in fiscal years 2001-2002, multivariable survival analyses assessed associations between BMI and suicide, through FY2009. Covariates included demographics, psychiatric, and nonpsychiatric diagnoses, receipt of VHA mental health encounters, and regional network. Among suicide decedents, multivariable Generalized Estimating Equations (GEE) regression examined associations between BMI and suicide method., Results: 1.3% of patients were underweight, 24.3% normal weight, 40.6% overweight, and 33.8% obese. Underweight was associated with increased suicide risk (adjusted hazard ratio [AHR] = 1.17, 95% CI: 1.01, 1.36) compared to normal. Overweight and obese status were associated with lower risk (AHR = 0.78, 95% CI: 0.74, 0.82; AHR = 0.63, 95% CI: 0.60, 0.66, respectively). Among suicide decedents, high lethality methods were most common among underweight and least common among obese individuals. Adjusting for covariates, BMI was not associated with method lethality, yet some associations were observed between BMI and specific methods., Conclusion: Among VHA patients, BMI was negatively associated with suicide risks. These differences may partly relate to choice of suicide method. Low BMI offers an additional resource for clinical suicide risk assessments., (Copyright © 2013 The Obesity Society.)

Background and Aims: Tobacco use may be a risk factor for suicide mortality; however, prior research has produced equivocal findings and has been limited by relatively small sample sizes to study the rare event of suicide, as well as a lack of adjustment for other important factors, including psychiatric illness. We estimate the predictive association between tobacco use disorder and the risk of suicide mortality, adjusting for other important variables., Design: A prospective cohort study., Setting: The United States Veterans Health Administration (VHA)., Participants: All individuals who received VHA services in fiscal year (FY) 2005 and were alive at the start of FY 2006 (n = 4 863 086)., Measurements: Tobacco use disorder was assessed via FYs 2004-05 VHA National Patient Care Database records. The outcome of suicide mortality was assessed during the follow-up interval from the beginning of FY 2006 to the end of FY 2008 using National Death Index records., Findings: Of the 4 863 086 individuals in the study, 4823 died by suicide during the follow-up interval. In the unadjusted model, tobacco use disorder was associated with an increased risk of suicide [hazard ratio (HR) = 1.88; 95% confidence interval (CI) = 1.76, 2.02]. After adjustment for model covariates, the association remained statistically significant, although attenuated (HR = 1.36, 95% CI = 1.27, 1.46)., Conclusions: Tobacco use disorder may confer a modest excess risk of death by suicide. Psychiatric disorders may partially explain the relationship between tobacco use disorder and suicide., (Published 2013. This article is a U.S. Government work and is in the public domain in the USA.)

Objectives: We assessed suicide rates up to 6 months following discharge from US Department of Veterans Affairs (VA) nursing homes., Methods: In VA Minimum Data Set (MDS) records, we identified 281 066 live discharges from the 137 VA nursing homes during fiscal years 2002 to 2008. We used MDS and administrative data to assess resident age, gender, behaviors, pain, and indications of psychoses, bipolar disorder, dementia, and depression. We identified vital status and suicide mortality within 6 months of discharge through National Death Index searches., Results: Suicide rates within 6 months of discharge were 88.0 per 100 000 person-years for men and 89.4 overall. Standardized mortality ratios relative to age- and gender-matched individuals in the VA patient population were 2.3 for men (95% confidence interval [CI] = 1.9, 2.8) and 2.4 overall (95% CI = 2.0, 2.9). In multivariable proportional hazards regression analyses, resident characteristics, diagnoses, behaviors, and pain were not significantly associated with suicide risk., Conclusions: Suicide risk was elevated following nursing home discharge. This underscores the importance of ongoing VA efforts to enhance discharge planning and timely postdischarge follow-up.

Objective: Between 2005 and 2009, the Veterans Health Administration (VHA) enhanced its mental health programs and increased outpatient mental health staffing by 52.8%. However, suicide rates among VHA patients remained the same. This study evaluated this finding by examining variability in staffing increases between VHA's 21 regional networks (Veterans Integrated Service Networks) (VISNs) and associations with suicide rates., Methods: Suicide rates among VHA patients were derived from the National Death Index and VHA clinical and administrative records for 2005 and 2009. Comparisons across VISNs used measures of proportional change in mental health staffing (overall and in inpatient, residential, intensive case management, and outpatient programs) and comparable measures of mental health staffing per 1,000 mental health patients., Results: Significant correlations were found between proportional changes from 2005 to 2009 in suicide rates and outpatient mental health staffing (r=-.453, p=.039) and outpatient mental health staffing per 1,000 patients (r=-.533, p=.013). The ten VISNs above the median in proportional changes in mental health staffing had average decreases in suicide rates of 12.6% while those below had increases of 11.6% (p=.005). For proportional changes in mental health staffing per 1,000 patients, those above the median had decreases of 11.2% and those below had increases of 13.8% (p=.014). For the average VISN, it would have required a 27.5%-36.8% increase in outpatient staff over 2005 levels to decrease suicide rates by 10%., Conclusions: Mental health enhancements in VHA were associated with decreases in suicide rates in VISNs where the increases in mental health outpatient staffing were greatest.

Importance: There are limited data on the extent to which suicide mortality is associated with specific pain conditions., Objective: To examine the associations between clinical diagnoses of noncancer pain conditions and suicide among individuals receiving services in the Department of Veterans Affairs Healthcare System., Design: Retrospective data analysis., Setting: Data were extracted from National Death Index and treatment records from the Department of Veterans Healthcare System., Participants: Individuals receiving services in fiscal year 2005 who remained alive at the start of fiscal year 2006 (N = 4 863 086)., Main Outcomes and Measures: Analyses examined the association between baseline clinical diagnoses of pain-related conditions (arthritis, back pain, migraine, neuropathy, headache or tension headache, fibromyalgia, and psychogenic pain) and subsequent suicide death (assessed in fiscal years 2006-2008)., Results: Controlling for demographic and contextual factors (age, sex, and Charlson score), elevated suicide risks were observed for each pain condition except arthritis and neuropathy (hazard ratios ranging from 1.33 [99% CI, 1.22-1.45] for back pain to 2.61 [1.82-3.74] for psychogenic pain). When analyses controlled for concomitant psychiatric conditions, the associations between pain conditions and suicide death were reduced; however, significant associations remained for back pain (hazard ratio, 1.13 [99% CI, 1.03-1.24]), migraine (1.34 [1.02-1.77]), and psychogenic pain (1.58 [1.11-2.26])., Conclusions and Relevance: There is a need for increased awareness of suicide risk in individuals with certain noncancer pain diagnoses, in particular back pain, migraine, and psychogenic pain.

Objective: Despite concerns regarding elevated psychiatric morbidity and suicide among veterans returning from Operations Enduring Freedom and Iraqi Freedom (OEF/OIF), little is known about the impact of psychiatric conditions on the risk of suicide in these veterans. To inform tailored suicide prevention efforts, it is important to assess interrelationships between OEF/OIF status, psychiatric morbidity, and suicide mortality. This study sought to examine potential associations between OEF/OIF status and suicide mortality among individuals receiving care in the Department of Veterans Affairs health system, the Veterans Health Administration (VHA). Analyses assessed potential interactions between OEF/OIF status and psychiatric conditions as predictors of suicide., Method: Analyses included data for all individuals who received VHA services during fiscal year (FY) 2007 or FY08 and were alive at the start of FY08 (N = 5,772,282)., Results: For this cohort, there were 1,920 suicide deaths in FY08, including 96 among OEF/OIF veterans. Controlling for demographic factors, psychiatric conditions, OEF/OIF status, and the interaction between psychiatric conditions and OEF/OIF status, no main effects of OEF/OIF status were observed. However, a significant interaction was found between psychiatric conditions and OEF/OIF status. Specifically, having a diagnosed mental health condition was associated with a greater risk of suicide among OEF/OIF veterans (hazard ratio [HR] = 4.41; 95% confidence interval [CI]: 2.57, 7.55; p < .01) than among non-OEF/OIF veterans (HR = 2.48; 95% CI [2.27, 2.71]; p < .01)., Conclusion: These findings highlight the importance of mental health screening and intervention for OEF/OIF veterans.

Suicide crisis lines have a respected history as a strategy for reducing deaths from suicide and suicidal behaviors. Until recently, however, evidence of the effectiveness of these crisis lines has been sparse. Studies published during the past decade suggest that crisis lines offer an alternative to populations who may not be willing to engage in treatment through traditional mental health settings. Given this promising evidence, in 2007, the Department of Veterans Affairs in collaboration with the Department of Health and Human Services' Substance Abuse and Mental Health Administration implemented a National Suicide Hotline that is staffed 24 hours a day, 7 days a week, by Veterans Affairs clinical staff. We report here on the implementation of this suicide hotline and our early observations of its utilization in a largely male population.

Objectives: We sought to compare suicide rates among veterans utilizing Veterans Health Administration (VHA) services versus those who did not., Methods: Suicide rates from 2005 to 2008 were estimated for veterans in the 16 states that fully participated in the National Violent Death Reporting System (NVDRS), using data from the National Death Index, NVDRS, and VHA records., Results: Between 2005 and 2008, veteran suicide rates differed by age and VHA utilization status. Among men aged 30 years and older, suicide rates were consistently higher among VHA utilizers. However, among men younger than 30 years, rates declined significantly among VHA utilizers while increasing among nonutilizers. Over these years, an increasing proportion of male veterans younger than 30 years received VHA services, and these individuals had a rising prevalence of diagnosed mental health conditions., Conclusions: The higher rates of suicide for utilizers of VHA among veteran men aged 30 and older were consistent with previous reports about which veterans utilize VHA services. The increasing rates of mental health conditions in utilizers younger than 30 years suggested that the decreasing relative rates in this group were related to the care provided, rather than to selective enrollment of those at lower risk for suicide.

This study characterizes those patients of an urban VA Medical Center (VAMC) who had committed suicide. A cause-of-death search of the 1,075 veterans from the VAMC's case rolls who died during 1998 was conducted. For confirmed and suspected suicides, a chart review was conducted, noting psychiatric history and recent contact with the VAMC. Nineteen patients were either confirmed or suspected suicides. Few of these patients had made recent contact with the VAMC, although the majority of them had received psychiatric services from the VA at some time. The proportion of deaths due to suicide was similar in African American and White patients. Rates of suicide were elevated, primarily because of the high proportion of patients receiving psychiatric treatment. Elderly suicides were less likely to have had psychiatric services or previous psychiatric diagnoses than were younger suicides. Patients with past contact with psychiatric services may be especially at risk of suicide, particularly as contact with these services diminishes. Elderly patients in medical settings with undiagnosed or undertreated psychiatric disorders are also likely to have elevated risk for suicide. These findings demonstrate the importance of acknowledging that risk factors for suicide are specific to sites or populations; this information can be used in allocating resources for developing site-specific strategies for prevention.

Objective: Studies of patients in the U.S. Department of Veterans Affairs (VA) health system and elsewhere have documented elevated mortality from suicide during a critical period within 30 to 90 days after discharge from inpatient mental health units. To support program planning, VA evaluated whether the elevated mortality during this critical period was specific to suicide or whether there were similar increases in other causes of death.Methods: Indicators of age, gender, inpatient diagnoses, and suicide attempts and ideation from VA records were combined with indicators of vital status and cause of death from the National Death Index. Analyses compared all-cause and cause-specific mortality in the first 30 and 90 days postdischarge with mortality in days 91 to 365 after discharge for the 106,430 VA patients discharged from inpatient mental health units in 2013-2014.Results: Elevated mortality during the first 30 and first 90 days after discharge was not specific to suicide. Higher rates of all-cause mortality were noted, including elevated mortality due to external causes other than suicide among young and middle-aged patients (ages 18-64) during the first 30 days and among older patients (≥65) during the first 90 days. An increase in natural-cause mortality among older patients was attributable to greater mortality among those with dementia diagnoses.Conclusions: Elevated rates of nonsuicide external-cause mortality in the critical period within 30 to 90 days after discharge from inpatient mental health care suggest important opportunities for prevention. Greater mortality among patients with dementia or related neurodegenerative diseases raises questions regarding current strategies for managing behavioral symptoms and transitions to end-of-life care. [ABSTRACT FROM AUTHOR]

• "Deaths of despair" is a composite of suicide, drug-, and alcohol-related deaths. • Rates are higher in Veteran men in VA health care and lower in other Veteran men. • Rates for Veterans and others are associated with characteristics of the states. • Rates for suicide are associated with rates for alcohol- but not drug-related causes. • It may be useful to modify current strategies for prevention to address the full range of these outcomes. Deaths of despair, a composite outcome including suicide and drug- and alcohol-related deaths, have been increasing, especially in subpopulations and geographic areas sensitive to economic and social hardships. The Veterans Health Administration (VHA) has begun evaluating the utility of this concept to guide planning and evaluations of clinical and preventive services for Veterans. In this study, mortality rates for middle-aged American men for 2013 to 2017 were from CDC WONDER, and rates for all Veterans, those using VHA healthcare services (VHA-utilizers), and other (non-VHA) Veterans were derived from National Death Index data. Findings demonstrated that rates for the composite were higher in VHA-utilizers and lower in non-VHA Veterans than middle-aged American men, consistent with use of VHA services by Veterans with the greatest needs. State rates in Veteran men were significantly and positively correlated with state rates for American men, and both were correlated with other characteristics of the social environment. The lack of correlation between rates for suicide and drug-related deaths indicates that deaths of despair cannot be modeled by assuming parallel paths from reactions to community-based stressors to the component outcomes; models should allow for an impact of community characteristics on partitioning between outcomes. [ABSTRACT FROM AUTHOR]