County characteristics and veteran suicide in the United States, 2011-2018.

INTRODUCTION: Few studies have examined county-level hotspots of veteran suicide and associated place-based contributors, limiting development of targeted community-level prevention strategies. The objectives of this national spatial analysis of all veteran suicides were to identify areas of the United States (U.S.) with higher-than-expected veteran suicide rates and determine county-level social and economic characteristics associated with areas of higher risk. METHODS: Using Bayesian hierarchical modeling, county-level standardized mortality ratios for veteran suicide deaths were estimated for time periods 2011-2018, 2011-2014, and 2015-2018. Adjusted relative risk, accounting for community characteristics, for each county was then estimated and associations between community characteristics and veteran suicide risk were examined. Analyses were conducted in 2023-2024. RESULTS: Risk of veteran suicide is predominantly concentrated in the Mountain West and West. Significant predictors of risk across all time periods were per capita number of firearm retailers (2011-2018 RR=1.065 [95%CI 1.030-1.102]), the proportion of residents who moved in the past year (2011-2018 RR=1.060 [95%CI 1.039-1.081]), the proportion of residents who live alone (2011-2018 RR=1.067 [95%CI 1.046-1.089]), the proportion of residents in rental housing (2011-2018 RR=1.041 [95%CI 1.018-1.065]), and the proportion of married residents (2011-2018 RR=0.915 [95%CI 0.890-0.941]). CONCLUSIONS: This study contributes to a comprehensive public health approach to veteran suicide prevention by identifying where resources are needed most, and which place-based intervention targets have the largest potential for impact. Findings suggest that public health efforts to address suicide among veterans should address community level firearm access and identify ways to alleviate deleterious effects of social fragmentation.

Veteran suicide and associated community characteristics in Oregon.

Developing a public health approach to suicide prevention among United States (US) military veterans requires additional data and guidance on where, when, for whom, and what prevention resources should be deployed. This study examines veteran suicide mortality across one US state (Oregon) to identify county-level "hotspots" for veteran suicide, identify community characteristics associated with increased suicide among veterans, and examine excess spatial risk after accounting for space, time, and community characteristics. We linked Oregon mortality data with VA databases to identify veterans who had resided in Oregon and died by suicide between January 1, 2009 and December 31, 2018 (n = 1727). Community characteristic data were gathered at the county level from publicly available datasets on social determinants of health known to be associated with poor health outcomes, including suicide risk. We estimated spatial generalized linear mixed models for the full 10-year period and for each 5-year period using integrated nested Laplace approximation with county as the higher hierarchy. Smoothed standardized mortality ratios were used to identify counties with higher risk of veteran suicide. We found a small clustering of counties in the southwestern corner of Oregon that held the highest risk for veteran suicide across the ten years studied. In multivariable models, higher prevalence of unmarried persons was the only community measure significantly associated with increased veteran suicide risk. However, social contextual factors as a group, along with geographic space, explained most risk for suicide among veterans at the population level.

The VA vascular injury study: A glimpse at quality of care in Veterans with traumatic vascular injury repair.

OBJECTIVE: The high number of limb injuries among Post-9/11 Veterans and their long-term care pose significant challenges to clinicians. Current follow-up for extremity arterial vascular injury (EVI) is based on guideline-concordant care for treatment of peripheral vascular disease (GCC-PVD), including anticoagulant/antiplatelet or statin therapy and duplex ultrasound. No best practices exist for arterial EVI. Our goal was to determine correlates of GCC-PVD and other care among Post-9/11 Veterans with combat-related arterial EVI. MATERIALS AND METHODS: We identified Post-9/11 Veterans with arterial EVI who underwent initial limb salvage repair or ligation (e.g., for single-vessel injury) attempt per DoD Trauma Registry validated by chart abstraction. Veterans Health Administration (VHA) data characterized the cohort in the first five years of VHA care. Models predicted (a) GCC-PVD, (b) pain clinic use, (c) mental/behavioral health care, (d) long-term opioid use, and (e) time to complication, controlling for injury severity and type, mental health parameters, and demographics. RESULTS: The 490-Veteran cohort with validated arterial injury was 77% White averaging 25.2 years at injury (range: 18-56). Mechanism of injury was primarily explosive (63%). Veterans had Injury Severity Scores classified as mild (60%), moderate (25%) and severe (15%). Approximately 25% received at least one component of VHA GCC-PVD including 8% arterial ultrasounds, 5% statins, and 11% anticoagulants/antiplatelets; 77% had mental/behavioral healthcare. GCC-PVD, as well as PTSD and substance use disorders, were associated with receipt of mental/behavioral health care. Complications affected 46% of the cohort and were more common among those prescribed 90+ days of opioids or receiving GCC-PVD. CONCLUSION: Despite injury severity (40% moderate/severe), only 25% of cohort patients received VHA GCC-PVD, and nearly half had complications from their arterial injury. Receiving GCC-PVD appeared to potentiate receiving care for mental and behavioral disorders. IMPACT: The treatment gap in Veterans with arterial EVI may be due to lack of appropriate guidelines, lack of vascular specialists in VHA or accessing care outside the VHA. Focused study of care options and their outcomes will help define optimal care processes for combat Veterans with arterial EVI.

Adapting Caring Contacts for Veterans in a Department of Veterans Affairs Emergency Department: Results From a Type 2 Hybrid Effectiveness-Implementation Pilot Study.

Transitions in care, such as discharge from an emergency department (ED), are periods of increased risk for suicide and effective interventions that target these periods are needed. Caring Contacts is an evidence-based suicide prevention intervention that targets transitions, yet it has not been widely implemented. This pilot study adapted Caring Contacts for a Department of Veterans Affairs (VA) ED setting and population, created an implementation toolkit, and piloted implementation and evaluation of effectiveness. To inform adaptation, qualitative interviews were conducted with stakeholders. Data were used by an advisory board comprised of stakeholders, experts, and veterans to make adaptations and develop an implementation planning guide to delineate steps needed to implement. Key decisions about how to adapt Caring Contacts included recipients, author, content, and the schedule for sending. Pilot implementation occurred at one VA ED. Caring Contacts involved sending patients at risk of suicide brief, non-demanding expressions of care. Program evaluation of the pilot used a type 2 hybrid effectiveness-implementation design to both pilot an implementation strategy and evaluate effectiveness of Caring Contacts. Evaluation included qualitative interviews with veteran patients during implementation. VA electronic health records were used to evaluate VA service utilization in the 6-month periods immediately before and after veterans were delivered their first Caring Contact. Hundred and seventy-five veterans were mailed Caring Contacts and the facility continued adoption after the pilot. Participants were positive about the intervention and reported feeling cared about and connected to VA as a result of receiving Caring Contacts. This project developed an implementation planning process that successfully implemented Caring Contacts at one site. This can be used to further implement Caring Contacts at additional VA or community EDs.

Provider-Related Linkages Between Primary Care Clinics and Community-Based Senior Centers Associated With Diabetes-Related Outcomes.

The Institute of Medicine (IOM) suggests that linkages between primary care practices and community-based resources can improve health in lower income and minority patients, but examples of these are rare. We conducted a prospective, mixed-methods observational study to identify indicators of primary care-community linkage associated with the frequency of visits to community-based senior centers and improvements in diabetes-related outcomes among 149 new senior center members (72% Hispanic). We used semistructured interviews at baseline and 9-month follow-up, obtaining visit frequency from member software and clinical assessments including hemoglobin A1c (HbA1c) from colocated primary care clinics. Members' discussion of their activities with their primary care providers (PCPs) was associated with increased visits to the senior centers, as well as diabetes-related improvements. Direct feedback from the senior centers to their PCPs was desired by the majority of members and may help to reinforce use of community resources for self-management support.

Adapting and implementing Caring Contacts in a Department of Veterans Affairs emergency department: a pilot study protocol.

BACKGROUND: Suicide among veterans is a problem nationally, and suicide prevention remains a high priority for the Department of Veterans Affairs (VA). Focusing suicide prevention initiatives in the emergency department setting provides reach to veterans who may not be seen in mental health and targets a critical risk period, transitions in care following discharge. Caring Contacts is a simple and efficacious suicide prevention approach that could be used to target this risk period. The purpose of this study is to (1) adapt Caring Contacts for use in a VA emergency department, (2) conduct a pilot program at a single VA emergency department, and (3) create an implementation toolkit to facilitate spread of Caring Contacts to other VA facilities. METHODS: This project includes planning activities and a pilot at a VA emergency department. Planning activities will include determining available data sources, determining logistics for identifying and sending Caring Contacts, and creating an implementation toolkit. We will conduct qualitative interviews with emergency department staff and other key stakeholders to gather data on what is needed to adapt and implement Caring Contacts in a VA emergency department setting and possible barriers to and facilitators of implementation. An advisory board of key stakeholders in the facility will be created. Qualitative findings from interviews will be presented to the advisory board for discussion, and the board will use these data to inform decision making regarding implementation of the pilot. Once the pilot is underway, the advisory board will convene again to discuss ongoing progress and determine if any changes are needed to the implementation of the Caring Contacts intervention. DISCUSSION: Findings from the current project will inform future scale-up and spread of this innovation to other VA medical center emergency departments across the network and other networks. The current pilot will adapt Caring Contacts, create an implementation toolkit and implementation guide, evaluate the feasibility of gathering outcome measures, and provide information about what is needed to implement this evidence-based suicide prevention intervention in a VA emergency department.

Utilization of Interactive Clinical Video Telemedicine by Rural and Urban Veterans in the Veterans Health Administration Health Care System.

PURPOSE: Interactive clinical video telemedicine (CVT) has the potential to benefit health care systems and patients by improving access, lowering costs, and more efficiently distributing providers. However, there is a gap in current knowledge around the demand for and potential uses of CVT in large integrated health care systems. METHODS: We conducted an observational study using Veterans Health Administration (VHA) administrative databases to analyze trends in CVT utilization, and types of care received, among 7.65 million veterans during fiscal years (FY) 2009-2015 (October 1, 2008-September 30, 2015). Trends were stratified by veteran rurality and analyzed using linear regression. Among 4.95 million veterans in FY2015, we used logistic regression to identify characteristics associated with CVT utilization for any care, mental health care, and major specialties. FINDINGS: Over 6 years, the annual CVT utilization grew from 30 to 124 encounters per 1,000 veterans (>300% increase), with faster growth among rural veterans than urban veterans. Over the study period, ≥50% of all CVT-delivered care was mental health care. In FY2015, 3.2% of urban and 7.2% of rural veterans utilized CVT for nearly 725,000 clinical encounters. Rural residence, younger age, longer driving distance to VHA facilities, one or more comorbidities, and higher rates of traditional, non-video utilization were independently associated with higher odds of CVT use. CONCLUSIONS: CVT utilization in VHA has increased quickly and exceeds published rates in the private health care market. The availability of CVT has likely increased access to VHA care for rural veterans, especially for mental health care.

Characteristics Associated With Utilization of VA and Non-VA Care Among Iraq and Afghanistan Veterans With Post-Traumatic Stress Disorder.

INTRODUCTION: Post-traumatic stress disorder (PTSD) affects nearly one-fifth of Iraq and Afghanistan Veterans (IAV). The Department of Veterans Affairs (VA) has invested in making evidence-based psychotherapies for PTSD available at every VA facility nationwide; however, an unknown number of veterans opt to receive care in the community rather than with VA. We compared PTSD care utilization patterns among Texas IAV with PTSD, an ethnically, geographically, and economically diverse group. METHODS: To identify IAV in Texas with service-connected disability for PTSD, we used a crosswalk of VA administrative data from the Operation Enduring Freedom/Operation Iraqi Freedom Roster and service-connected disability data from the Veterans Benefits Administration. We then surveyed a random sample of 1,128 veterans from the cohort, stratified by sex, rurality, and past use/nonuse of any VA care. Respondents were classified into current utilization groups (VA only, non-VA only, dual care, and no professional PTSD treatment) on the basis of reported PTSD care in the prior 12 months. Responses were weighted to account for sample stratification and for response rate within each strata. Utilization group characteristics were compared to the population mean using the one sample Z-test for proportions, or the t-test for means. A multinomial logistic regression model was used to identify survey variables significantly associated with current utilization group. RESULTS: 249 IAV completed the survey (28.4% response rate). Respondents reported receiving PTSD care: in the VA only (58.3%); in military or community-based settings (including private practitioners) (non-VA only, 8.7%); and in both VA and non-VA settings (dual care, 14.5%). The remainder (18.5%) reported no professional PTSD care in the prior year. Veterans ineligible for Department of Defense care, uncomfortable talking about their problems, and opposed to medication were more likely to receive non-VA care only, whereas those with lower household income, <50% service connection for PTSD, and reporting high stoicism were more likely to receive no professional treatment. The best model constructed from survey variables correctly predicted utilization group 76% of the time, whereas a model constructed only from variables currently available in VA data predicted utilization group correctly 64% of the time. Important variables distinguishing utilization groups included household income, percent PTSD service connection, routine use of VA health care, having non-VA insurance, past PTSD care at a VA facility or at a community-based facility, attitudes regarding medication, discomfort with mental health care seeking, and perceived treatment efficacy in community-based settings. CONCLUSION: These findings suggest that preferences for care setting among IAV with PTSD have less influence on care utilization than actual access factors such as household income and service connection. Given that nearly a quarter of respondents indicated receiving as least some PTSD care in community settings, working toward seamless VA/non-VA care coordination remains an important goal for ensuring high-quality care.

Evaluation of Long-Term Chronic Myeloid Leukemia Treatment Practices with Tyrosine Kinase Inhibitors in a National Cohort of Veterans.

STUDY OBJECTIVE: To evaluate nationwide chronic myeloid leukemia (CML) treatment practices over an extended period and across multiple lines of tyrosine kinase inhibitor (TKI) therapy with imatinib, dasatinib, and nilotinib. DESIGN: Retrospective cohort study. DATA SOURCE: Veterans Health Administration (VHA) national database. PATIENTS: A total of 2873 VHA beneficiaries aged 18-89 years who had at least one encounter at any of the ~150 VHA hospitals and 800 VHA clinics, had a diagnosis code for CML, and filled at least one prescription for imatinib, nilotinib, or dasatinib between October 1, 2001, and September 30, 2010. MEASUREMENT AND MAIN RESULTS: The VHA database was used for the time period of October 1, 2000, to September 30, 2012, allowing for a 1-year observation period to identify CML treatments prior to study enrollment and a minimum of a 2-year follow-up period to assess study end points. Primary study end points included change in TKI treatment, gaps in TKI treatment, TKI treatment persistence, and patient survival. Persistence for each distinct line of treatment was defined as the time of continuous therapy, quantified by the number of days covered by the drug from treatment initiation until a 60-day gap in treatment was identified or a switch in treatment occurred. A Kaplan-Meier model was used to evaluate persistence and survival. Of the 2873 patients receiving first-line TKI treatment, 586 (20.4%) switched to a different TKI, constituting second-line treatment. Overall, 245 patients (8.5%) were switched again to third-line treatment. Only 4.4% of patients receiving first-line treatment experienced a gap in therapy of 60 or more days. First-line treatment persistence rates were 75%, 65%, and 55% for the first, second, and third years of treatment, respectively. Five-year survival with first-line treatment was 62%. CONCLUSION: In this national cohort of VHA patients, 1-year persistence of first-line TKI treatment was similar to that in prior studies. Five-year survival was comparable with that in other observational studies but was lower than that in prospective clinical trials. Persistence rates declined after the introduction of the new TKIs.

Comorbidity Correlates of Death Among New Veterans of Iraq and Afghanistan Deployment.

BACKGROUND: Veterans of the wars in Iraq and Afghanistan who receive care in the Veterans Health Administration (VA) have high disease burden. Distinct comorbidity patterns have been shown to be differentially associated with adverse outcomes, including death. This study determined correlates of 5-year mortality. MATERIALS AND METHODS: VA demographic, military, homelessness, and clinical measures informed this retrospective analysis. Previously constructed comorbidity classifications over 3 years of care were entered into a Cox proportional hazards model of death. RESULTS: There were 164,933 veterans in the cohort, including African Americans (16%), Hispanics (11%), and whites (65%). Most were in their 20s at baseline (60%); 12% were women; 4% had attempted suicide; 4% had been homeless. Having clustered disorders of pain, posttraumatic stress disorder, and traumatic brain injury was associated with death [hazard ratio (HR)=2.0]. Mental disorders including substance abuse were similarly associated (HR=2.1). Prior suicide attempt (HR=2.2) or drug overdose (HR=3.0) considerably increased risk of death over 5 years. CONCLUSIONS: As congressional actions such as Veterans Choice Act offer more avenues to seek care outside of VA, coordination of care, and suicide prevention outreach for recent veterans may require innovative approaches to preserve life.

Erosion of the healthy soldier effect in veterans of US military service in Iraq and Afghanistan.

BACKGROUND: This research explores the healthy soldier effect (HSE) - a lower mortality risk among veterans relative to the general population-in United States (US) veterans deployed in support of operations in Iraq and Afghanistan (OEF/OIF/OND). While a HSE has been affirmed in other OEF/OIF/OND populations, US veterans of OEF/OIF/OND have not been systematically studied. METHODS: Using US Department of Veterans Affairs (VA) administrative data, we identified veterans who (1) had been deployed in support of OEF/OIF/OND between 2002 and 2011 and (2) were enrolled in the VA health care system. We divided the VA population into VA health care utilizers and non-utilizers. We obtained Department of Defense (DOD) administrative data on the OEF/OIF/OND population and obtained VA and DOD mortality data excluding combat deaths from the analyses. Indirect standardization was used to compare VA and DOD cohorts to the US population using total population at risk to compute the Standardized Mortality Ratio (SMR). A directly standardized relative risk (DSRR) was calculated to enable comparisons between cohorts. To compare VA enrollee mortality on military specific characteristics, we used a DOD population standard. RESULTS: The overall VA SMR of 2.8 (95% Confidence Interval [CI] 2.8-2.9), VA utilizer SMR of 3.2 (95% CI 3.1-3.3), VA non-utilizer SMR of 0.9 (95% CI 0.8-1.1), and DOD SMR of 1.5 (95% CI 1.4-1.5) provide no evidence of a HSE in any cohort relative to the US standard population. Relative to DOD, both the total VA population SMR of 2.1 (95% CI 2.0-2.2) and the SMR for VA utilizers of 2.3 (95% CI 2.3-2.4) indicate mortality twice what would be expected given DOD mortality rates. In contrast, the VA enrollees who had not used clinical services had 40% lower than expected mortality relative to DOD. CONCLUSIONS: No support was found for the HSE among US veterans of OEF/OIF/OND. These findings may be attributable to a number of factors including post-deployment risk-taking behavior, an abbreviated follow up period, and the nature of the OEF/OIF/OND conflict.

Intensity and duration of obesity-related counseling: association with 5-Year BMI trends among obese primary care patients.

We examined 5-year trends in BMI among obese primary care patients to determine whether obesity-related education such as nutrition counseling or a weight management program was associated with declines in BMI. Veterans with BMI ≥30 kg/m(2) and ≥1 primary care visits in fiscal year 2002 were identified from the Veterans Health Administration's (VHA) national databases. Outpatient visits from fiscal year 2002-2006 for nutrition counseling, exercise, or weight management were grouped into five categories varying in intensity and duration: (i) intense-and-sustained, (ii) intense-only, (iii) irregular, (iv) limited, and (v) no counseling. Generalized estimating equation assessed associations between obesity-related counseling and BMI trend (annual rate of BMI change fiscal year 2002-2006) among cohort members with complete race/ethnic data (N = 179,881). Multinomial logistic regression compared intensity and duration of counseling among patients whose net BMI increased or decreased by ≥10% vs. remained stable. Compared with patients receiving "intense-and-sustained" counseling, the BMI trend of those receiving "intense-only" or "irregular" counseling was not significantly different, but patients receiving "no counseling" or "limited counseling" had significantly higher rates of decreasing BMI (-0.12 and -0.08 BMI per year; P < 0.01, respectively). This was especially true for veterans in their 50-60s, compared with the oldest veterans who were most likely to lose weight. In contrast, younger veterans (18-35 years) were least likely to lose weight; their BMI tended to increase regardless of counseling intensity and duration. Enhanced efforts are needed to detect and combat increasing weight trajectories among veterans who are already obese, especially among those aged 18-35 who are at greatest risk.

VHA Corporate Data Warehouse height and weight data: opportunities and challenges for health services research.

Within the Veterans Health Administration (VHA), anthropometric measurements entered into the electronic medical record are stored in local information systems, the national Corporate Data Warehouse (CDW), and in some regional data warehouses. This article describes efforts to examine the quality of weight and height data within the CDW and to compare CDW data with data from warehouses maintained by several of VHA's regional groupings of healthcare facilities (Veterans Integrated Service Networks [VISNs]). We found significantly fewer recorded heights than weights in both the CDW and VISN data sources. In spite of occasional anomalies, the concordance in the number and value of records in the CDW and the VISN warehouses was generally 97% to 99% or greater. Implausible variation in same-day and same-year heights and weights was noted, suggesting measurement or data-entry errors. Our work suggests that the CDW, over time and through validation, has become a generally reliable source of anthropometric data. Researchers should assess the reliability of data contained within any source and apply strategies to minimize the impact of data errors appropriate to their study population.

Obesity diagnosis and care practices in the Veterans Health Administration.

BACKGROUND: In response to dramatic increases in obesity prevalence, clinical guidelines urge health care providers to prevent and treat obesity more aggressively. OBJECTIVE: To describe the proportion of obese primary care patients receiving obesity care over a 5-year period and identify factors predicting receipt of care. DESIGN: Retrospective cohort study utilizing VHA administrative data from 6 of 21 VA administrative regions. PATIENTS: Veterans seen in primary care in FY2002 with a body mass index (BMI) > or =30 kg/m(2) based on heights and weights recorded in the electronic medical record (EMR), survival through FY2006, and active care (1 or more visits in at least 3 follow-up years FY2003-2006). MAIN MEASURES: Receipt of outpatient visits for individual or group education or instruction in nutrition, exercise, or weight management; receipt of prescriptions for any FDA-approved medications for weight reduction; and receipt of bariatric surgery. KEY RESULTS: Of 933,084 (88.6%) of 1,053,228 primary care patients who had recorded heights and weights allowing calculation of BMI, 330,802 (35.5%) met criteria for obesity. Among obese patients who survived and received active care (N = 264,667), 53.5% had a recorded obesity diagnosis, 34.1% received at least one outpatient visit for obesity-related education or counseling, 0.4% received weight-loss medications, and 0.2% had bariatric surgery between FY2002-FY2006. In multivariable analysis, patients older than 65 years (OR = 0.62; 95% CI: 0.60-0.64) were less likely to receive obesity-related education, whereas those prescribed 5-7 or 8 or more medication classes (OR = 1.41; 1.38-1.45; OR = 1.94; 1.88-2.00, respectively) or diagnosed with obesity (OR = 4.0; 3.92-4.08) or diabetes (OR = 2.23; 2.18-2.27) were more likely to receive obesity-related education. CONCLUSIONS: Substantial numbers of VHA primary care patients did not have sufficient height or weight data recorded to calculate BMI or have recorded obesity diagnoses when warranted. Receipt of obesity education varied by sociodemographic and clinical factors; providers may need to be cognizant of these when engaging patients in treatment.