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Objective: In 2017, the Veterans Health Administration (VHA) implemented a national suicide prevention program, called Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET), that uses a predictive algorithm to identify, attempt to reach, assess, and care for patients at the highest risk for suicide. The authors aimed to evaluate whether facilitation enhanced implementation of REACH VET at VHA facilities not meeting target completion rates., Methods: In this hybrid effectiveness-implementation type 2 program evaluation, a quasi-experimental pre-post design was used to assess changes in implementation outcome measures evaluated 6 months before and 6 months after onset of facilitation of REACH VET implementation at 23 VHA facilities. Measures included percentages of patients with documented coordinator and provider acknowledgment of receipt, care evaluation, and outreach attempt. Generalized estimating equations were used to compare differences in REACH VET outcome measures before and after facilitation. Qualitative interviews were conducted with personnel and were explored via template analysis., Results: Time had a significant effect in all outcomes models (p<0.001). An effect of facilitation was significant only for the outcome of attempted outreach. Patients identified by REACH VET had significantly higher odds of having a documented outreach attempt after facilitation of REACH VET implementation, compared with before facilitation. Site personnel felt supported and reported that the external facilitators were helpful and responsive., Conclusions: Facilitation of REACH VET implementation was associated with an improvement in outreach attempts to veterans identified as being at increased risk for suicide. Outreach is critical for engaging veterans in care., Competing Interests: Dr. Landes reports serving as a consultant for RAND and UTHealth Houston. Dr. Kirchner reports serving as a consultant for ViiV Healthcare. Dr. Brenner reports receiving editorial remuneration from Wolters Kluwer and royalties from the American Psychological Association and Oxford University Press and serving as a consultant for sports leagues. Dr. Trafton reports being employed by the Institute for Brain Potential. The other authors report no financial relationships with commercial interests.

Healthcare Effectiveness Data and Information Set (HEDIS) quality measures for depression treatment aggregate Patient Health Questionnaire (PHQ)-9 data from routine clinical assessments recorded in electronic health records (EHR). To determine whether aggregated PHQ-9 data in US Veterans Health Administration (VHA) EHRs should be used to characterize the organization's performance, we compared rates for depression response and remission calculated from EHRs with rates calculated with data representing the underlying Veteran patient population estimated using Veterans Outcome Assessment (VOA) survey data. We analyzed data from initial assessments and 3-month follow-up for Veterans beginning treatment for depression. EHR data were available for only a minority of Veteran patients, and the group of Veterans with EHR data differed from the underlying Veteran patient population with respect to demographic and clinical characteristics. Aggregated rates of response and remission from EHR data were significantly different from estimates based on representative VOA data. The findings suggest that until patient-reported outcome from EHRs are available for a substantial majority of patients receiving care, aggregated measures of patient outcomes derived from these data cannot be assumed to be representative of the outcomes for the overall population, and they should not be used as outcome-based measures of quality or performance., Competing Interests: Declaration of Competing Interest Funding declaration: These studies were funded as part of clinical operations by the VA Office of Mental Health and Suicide Prevention Submission declaration: This work has not been published previously, (Copyright © 2023. Published by Elsevier B.V.)

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.)

We report on studies conducted to develop outcome-based performance measures (PROM-PMs) based on generic patient-reported outcome measures (PROMs) that could support strategies for quality improvement applicable to all patients in a mental health system. Data were from the Veterans Outcome Assessment Survey at baseline and three months for the Mental Component Score (MCS-12), a widely used measure of mental health-related quality of life, for 15,540 outpatients beginning treatment in General Mental Health clinics in 140 Veterans Affairs (VA) facilities. Mental health diagnoses from medical records were coded using hierarchical categories. Mental health staffing levels and quality measures were from administrative data. Changes in MCS-12 scores were associated with demographics, baseline scores, and diagnostic categories; in fully adjusted models, differences between facilities accounted for only 0.5% of the total variance between patients. There were small but significant associations of both baseline and changes in MCS-12 scores with staffing levels and administrative measures of the quality of care that support the potential value of adjusted measures of changes in MCS-12 as a PROM-PM. Remaining issues include the low proportion of variability that can be attributed to differences between facilities and the associations of staffing and quality with possible case-mix adjustment variables., Competing Interests: Declaration of Competing Interest All of the authors are employees of the US Department of Veterans Affairs. None have other potential conficts to declare., (Published by Elsevier B.V.)

Previous research has examined risk factors associated with poorer treatment outcomes for military Veterans with PTSD. However, work has not examined risk for symptom worsening among Veterans with subthreshold PTSD. The aim of this study was to examine demographic, psychiatric, physical health, and pre-treatment PTSD symptom clusters associated with clinically significant worsening of PTSD among a nationally representative sample of United States (U.S.) Veterans with subthreshold PTSD. Participants were Veterans (weighted N = 3162; unweighted N = 236) with subthreshold PTSD entering a new episode of treatment at U.S. Veterans Affairs PTSD specialty clinics during fiscal years 2018 and 2019. Data was collected as part of the Veterans Outcome Assessment, a yearly baseline and 3-month follow-up telephone survey. Analyses used weighted calculations to support the use of VOA data to draw inferences about all eligible Veterans, and binary logistic regression was used to examine risk factors for symptom worsening. Over 1/3 (37.7%) of Veterans with subthreshold PTSD experienced clinically significant symptom worsening from baseline to follow-up. Adjusted analyses revealed several risk factors for symptom worsening, including demographic (e.g., male sex, White race), psychiatric (personality and anxiety disorders), health care utilization (e.g., more primary care encounters in the previous year), physical health disability, and specific baseline PTSD symptom clusters (negative affect and anxious arousal). Findings suggest that Veterans with subthreshold symptoms seeking treatment for PTSD are at risk for symptom worsening, and highlight the importance of assessment, prevention, and treatment in targeting veterans with PTSD symptoms below the diagnostic threshold., (Published by Elsevier Ltd.)

To guide care for patients with schizophrenia, the Veterans Health Administration (VHA) evaluated the associations between current or recent use of clozapine and all-cause mortality and explored associations for other antipsychotic medications. Using a case-control design, patients with schizophrenia who died in fiscal years 2014-2018 were matched on age, sex, race, and VHA facility to up to 10 controls who were alive on the case's date of death (index date). Medication coverage during the 91 days before the index date was classified as none, partial (1-44 days), and consistent (45-91 days). Medication coverage patterns during the index period were compared to coverage patterns during the period of 92-182 days prior to index date with each medication coverage classified as no change, no coverage, increased, or decreased. Conditional logistic regression analyses controlling for patient characteristics identified no associations of consistent or increasing clozapine coverage with mortality; partial and decreasing coverage were associated with greater mortality and these effects did not differ from those of other the medications considered. Exploratory analyses considering non-clozapine antipsychotic agents suggest that consistent coverage by olanzapine may be associated with increased mortality, that mortality associated with olanzapine may be greater than aripiprazole, and that this effect can be attributed primarily to patients with diabetes. Further study of this topic is needed., (Copyright © 2022. Published by Elsevier B.V.)

This study addressed ongoing questions about the meaning of patients' perceptions of change during treatment. The study used data from the Veterans Outcome Assessment survey for patients with a depressive disorder, without mental health comorbidities, treated in Department of Veterans Affairs general mental health clinics (n = 694). Perceived changes in problems/symptoms, other domains, and the quality of communication with providers were evaluated with items from the Experience of Care & Health Outcomes (ECHO) survey. Depressive symptoms were measured with the Patient Health Questionnaire-9 (PHQ-9). Linear regression models evaluated associations of perceived change at 3-months post-baseline with observed change in PHQ-9 scores, scores on other patient-reported outcome measures (PROMs), and ratings of communication with providers. Patients' reports of their clinical condition at follow-up together with ratings of communication accounted for approximately one-third of the variance in patients' perceptions of change. Adding change-scores based on baseline and follow-up scores on the PHQ-9 and other PROMs did not improve model fit. The findings suggest that patient reports of perceived change during treatment reflect their current clinical state and their experience of care more closely than actual changes in the PHQ-9 or other PROMs., (Copyright © 2022. Published by Elsevier B.V.)

Background: Patient-centeredness is a cornerstone of substance use disorder (SUD) treatment. Patient-experience measures are potential tools for the routine assessment of patient-centered SUD care and may be valuable measures to inform quality monitoring improvement efforts. Little research exists on the predictive validity of patient-experience measures in SUD care., Purpose: We report on findings from the Veterans Outcome Assessment (VOA) survey that provides information on Veterans Health Administration SUD specialty care at treatment initiation and approximately 3-months post-initiation., Methods: The VOA includes patient-reported outcomes across multiple domains, including the Brief Addiction Monitor (BAM-R), the Short-Form-12 (SF-12) and the Experience of Care and Health Outcome Survey (ECHO), and provides patient reports of the quality of provider communication and overall quality of SUD care., Results: Nearly 40% of veterans in SUD care gave the highest possible ratings for communication and quality at both baseline and follow-up. Ratings of communication at 3-months were associated with treatment discontinuation and both ratings of communication and quality at 3-months and were independently associated with SUD symptoms and with mental well-being at 3-months., Conclusions: This study provides preliminary support for the inclusion of patient experience measures, particularly ratings of provider communication, as part of routine assessment in SUD care. However, further work on the validity of ratings of provider communication using additional methodologies is likely important before piloting the inclusion of such measures in routine assessment, such as in measurement base care., (Published by Elsevier Inc.)

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.)

Background: The items of the Patient Health Questionnaire-9 (PHQ-9) represent the criterion symptoms for DSM-IV major depression. This study evaluated the extent to which the PHQ-9 functions as a patient-reported outcome measure (PROM) specific to patients with major depressive disorder., Method: Data were from the Veterans Outcome Assessment survey for 8848 patients beginning treatment in VA general mental health clinics, including 5754, re-surveyed after 3 months. The PHQ-9's performance as a PROM was evaluated by comparing rank order correlations between both initial scores and improvements over 3 months between the PHQ-9 and several transdiagnostic PROMs across a range of diagnoses and comorbidities. Performance of PHQ-9-related patient-reported outcome-based performance measures (PROM-PM) were evaluated by comparing rates of response and remission across patient groups., Results: Correlations between the PHQ-9 and transdiagnostic measures were significant and comparable in magnitude across a range of diagnoses and for cases with depression with or without comorbidities. Rates of response and remission were comparable across most patient groups., Limitations: Limitations include use of clinical diagnoses as recorded in health records, and the relatively short time between assessments., Conclusions: In these settings, the PHQ-9 functions more as a general measure of symptoms or distress than as a disease-specific scale. This supports its use as a PROM for patients beyond those with major depression, including those with related diagnoses and those with comorbidities, and use of related PROM-PMs in clinical settings where diagnoses may not be precise and comorbidities may be common., (Copyright © 2021 Elsevier B.V. All rights reserved.)

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: Individuals with mental or substance use disorders have higher mortality rates than people in the general population. How excess mortality varies across health care facilities is unknown. The authors sought to investigate facility-level mortality rates among Veterans Health Administration (VHA) patients who had received diagnoses of mental or substance use disorders., Methods: An electronic medical records-based retrospective cohort study was conducted, encompassing 8,812,373 unique users of 139 VHA facilities from 2011 to 2016. Covariates included age, sex, and past-year diagnoses of serious mental illness, posttraumatic stress disorder, major depressive disorder, other mental health conditions, or substance use disorders. The outcome was all-cause mortality per comprehensive Veterans Affairs/Department of Defense searches of the National Death Index. Proportional hazards regression was used to calculate overall and facility-specific hazard ratios (HRs) for each diagnosis group, adjusted for age, sex, and comorbid medical conditions., Results: Overall, all-cause mortality was statistically significantly elevated among VHA users with mental health diagnoses (HR=1.21, 95% confidence interval=1.20-1.22). HRs varied across facilities consistently over time. At the VHA facility level, diagnostic groups were significantly correlated with the degree of excess mortality. Results were similar in sensitivity analyses that excluded deaths from suicide or drug or alcohol overdose., Conclusions: VHA users with mental or substance use disorder diagnoses had elevated mortality rates. Correlation in excess mortality across two periods indicated that facility differences in excess mortality were persistent and therefore potentially associated with facility- and community-level factors, which may help inform quality improvement efforts to reduce mortality rates.

For mental health, evidence linking the patients' experiences of care with treatment outcomes is limited. We report findings from the Veterans Outcome Assessment (VOA) survey of Veterans beginning treatment in Veterans Health Administration (VHA) mental health programs with follow-up after approximately 3 months. In addition to assessments of symptoms and functioning, it includes key components of the Experience of Care and Health Outcomes (ECHO) survey including patient reports of communication with clinicians and of the overall quality of mental health care. For Veterans treated in VHA general mental health clinics, significant associations between ratings of communication and quality at baseline, and both retention in treatment and patient-reported outcomes assessed at follow-up demonstrate that better patient experience predicts more favorable outcomes. Further research is necessary to determine whether including them in measurement-based care could improve outcomes by facilitating the early identification of problems in providing care., (Copyright © 2020. Published by Elsevier B.V.)

Objective: The Veterans Health Administration (VHA) provides a continuum of care over the life course. Among U.S. adults, bipolar disorder and schizophrenia are associated with increased risk of dementia. To inform service planning, this study assessed the incidence of dementia among veteran VHA patients with bipolar disorder or schizophrenia, with adjustment for comorbid medical conditions., Methods: Using data from the VHA Corporate Data Warehouse, the authors identified all veterans who received VHA care in 2004 and 2005 without a dementia diagnosis and who were alive and between ages 18 and 100 as of January 1, 2006. Individuals were categorized as having bipolar disorder, schizophrenia, or neither condition on the basis of diagnoses in 2004-2005. Among ongoing VHA users, incidence of dementia was assessed for up to 10 years (2006-2015)., Results: The cohort included 3,648,852 individuals. After analyses controlled for baseline comorbid general medical conditions and substance use disorders, the incidence rate ratios (IRRs) for dementia were 2.92 for those with schizophrenia and 2.26 for those with bipolar disorder, compared with VHA patients with neither condition., Conclusions: Among veterans receiving VHA care, diagnoses of bipolar disorder and schizophrenia were each associated with increased risk of receiving a new diagnosis of dementia, even when analyses controlled for baseline medical comorbidities. IRRs were elevated for patients with either condition, compared with those with neither condition, and highest for those with schizophrenia. VHA clinicians should evaluate patients for dementia when signs or symptoms of cognitive impairment are present.

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.

The Veterans Outcomes Assessment (VOA) program surveys Veteran Health Administration (VHA) patients when they begin mental health treatment and at follow-up at three months to obtain patient-reported outcomes measures (PROM). It complements VA's evolving program in measurement-based care by providing additional data that can be useful for program evaluation including assessments of patients who have not been seen for ongoing mental health care. In principle, it provides data on intention-to-treat outcomes for program evaluation to complement the outcomes for patients who are receiving ongoing treatment that can be derived from measurement-based care. VOA findings confirm differences in outcomes between patients who have continued to be seen for treatment and those who have not. Patients in general mental health clinics with no encounters between the baseline and follow-up assessments who reported discontinuing care because they did not want or need treatment improved more, and those who discontinued due to problems improved less than those who remained in treatment. Experience with VOA has identified a number of issues that must be addressed before it is possible to use intention-to-treat outcomes for program evaluation., (Published by Elsevier B.V.)

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.

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.)

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.

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.

The relationships between military service and suicide are not clear, and comparatively little is known about the characteristics and correlates of suicide ideation and attempts among those with history of military service. We used data from a national health survey to estimate the prevalence and correlates of suicidal behaviors among veterans and service members in 2 states. The prevalence of suicidal behaviors among Veterans was similar to previous estimates of ideation and attempts among adults in the US general population.

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.

The prevalence of psychiatric disorders was determined in a sample of 196 VA nursing home residents who were interviewed using the modified Schedule for Affective Disorders and Schizophrenia (mSADS). Of the 160 subjects for whom data were available, 86% had a diagnosis of at least one psychiatric disorder. The prevalence of clinically significant cognitive impairment was 60.6% and of major depression 13.8%. Of 110 residents for whom alcohol histories were obtained, 32 (29%) had a lifetime diagnosis of alcohol abuse. The degree of impairment in activities of daily living improved significantly from the time of admission to the time of the evaluation (average 1.4 years) among those who were recently abusing alcohol compared to those who formerly abused alcohol and those who never abused alcohol. The effect is clinically as well as statistically significant and has the potential benefit of reducing caregiver burden and health care costs for the elderly.