Mary J. Bollinger

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 VHAs 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.

Influence of frailty-related diagnoses, high-risk prescribing in elderly adults, and primary care use on readmissions in fewer than 30 days for veterans aged 65 and older.

To determine the effect of two variables not previously studied in the readmissions literature (frailty‐related diagnoses and high‐risk medications in the elderly (HRME)) and one understudied variable (volume of primary care visits in the prior year).

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

BackgroundThis 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.MethodsUsing 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.ResultsThe 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.ConclusionsNo 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/m2 and ≥1 primary care visits in fiscal year 2002 were identified from the Veterans Health Administrations (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.

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.

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

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.

Use of Guideline-Recommended Treatments for PTSD Among Community-Based Providers in Texas and Vermont: Implications for the Veterans Choice Program

Implementation of the Veterans Choice Program (VCP) allows Veterans to receive care paid for by the Department of Veterans Affairs (VA) in community settings. However, the quality of that care is unknown, particularly for complex conditions such as posttraumatic stress disorder (PTSD). A cross-sectional survey was conducted of 668 community primary care and mental health providers in Texas and Vermont to describe use of guideline-recommended treatments (GRTs) for PTSD. Relatively, few providers reported using guideline-recommended psychotherapy or prescribing practices. More than half of psychotherapists reported the use of at least one guideline-recommended psychotherapy for PTSD, but fewer reported the use of core treatment components, prior training in the GRT(s) they use, or adherence to a treatment manual. Suboptimal prescribing for PTSD patients was reported more commonly than optimal prescribing. Findings raise critical questions regarding how to ensure veterans seeking PTSD care in community settings receive psychotherapy and/or prescribing consistent with clinical practice guidelines.

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.