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BackgroundWe tested the capacity of the 60-site VA Women's Health Practice-Based Research Network (WH-PBRN), embedded within VA, to employ a multisite card study to collect women Veterans' perspectives about Complementary and Integrative Health (CIH) and to rapidly return findings to participating sites and partnered national policy-makers in support of a Learning Health System (LHS) wherein evidence generation informs ongoing improvement.MethodsVA primary care clinic clerks and nurses distributed anonymous surveys (patient feedback forms) at clinics for up to two weeks in fiscal year 2017, asking about CIH behavior and preferred delivery methods. We examined the project's feasibility, representativeness, acceptability, and impact via a tracking system, national administrative data, debriefing notes, and three surveys of WH-PBRN Site Leads.ResultsTwenty geographically diverse and largely representative VA Medical Centers and 11 Community-Based Outpatient Clinics volunteered to participate. Over six months, N = 1191 women Veterans responded (median 57; range 8-151 per site). In under three months, we returned local findings benchmarked against multisite findings to all participating sites and summary findings to national VA partners. Sites and partners disseminated results to clinical and leadership stakeholders, who then applied results as warranted.ConclusionsVA effectively mobilized an embedded PBRN to implement a timely, representative, acceptable and impactful operations project.ImplicationsCard studies by PBRNs within large, national healthcare systems can provide rapid feedback to participating sites and national leaders to guide policies, programs, and practices.Level of evidenceSelf-selected respondents could have biased results.

ObjectiveThe goal was to examine psychiatric diagnosis rates among a national cohort of primary care patients with and without obesity.MethodsThe cohort was derived from national Veterans Health Administration data (women, N=342,262; men, N=4,524,787). Sex-stratified descriptive statistics characterized psychiatric diagnosis rates. Chi-square tests determined whether diagnosis rates differed by obesity status (α=0.001).ResultsRates of any psychiatric diagnosis were higher among women than among men and among people with obesity versus without obesity (women, 53.9% vs. 50.4%; men, 37.9% vs. 35.2%). Depression and posttraumatic stress disorder diagnosis rates were higher for people with obesity, and substance use disorder diagnosis rates were lower for people with obesity. Anxiety diagnosis rates were slightly lower among women with obesity versus women without obesity.ConclusionsPrograms simultaneously addressing weight management and mental health could address the psychiatric comorbidities observed among people with obesity. Women are most likely to need these services.

Purpose: Equal-access health care systems such as the Veterans Health Administration (VHA) reduce financial and nonfinancial barriers to care. It is unknown if such systems mitigate racial/ethnic mortality disparities, such as those well documented in the broader U.S. population. We examined racial/ethnic mortality disparities among VHA health care users, and compared racial/ethnic disparities in VHA and U.S. general populations. Methods: Linking VHA records for an October 2008 to September 2009 national VHA user cohort, and National Death Index records, we assessed all-cause, cancer, and cardiovascular-related mortality through December 2011. We calculated age-, sex-, and comorbidity-adjusted mortality hazard ratios. We computed sex-stratified, age-standardized mortality risk ratios for VHA and U.S. populations, then compared racial/ethnic disparities between the populations. Results: Among VHA users, American Indian/Alaskan Natives (AI/ANs) had higher adjusted all-cause mortality, whereas non-Hispanic Blacks had higher cause-specific mortality versus non-Hispanic Whites. Asians, Hispanics, and Native Hawaiian/Other Pacific Islanders had similar, or lower all-cause and cause-specific mortality versus non-Hispanic Whites. Mortality disparities were evident in non-Hispanic-Black men compared with non-Hispanic White men in both VHA and U.S. populations for all-cause, cardiovascular, and cancer (cause-specific) mortality, but disparities were smaller in VHA. VHA non-Hispanic Black women did not experience the all-cause and cause-specific mortality disparity present for U.S. non-Hispanic Black women. Disparities in all-cause and cancer mortality existed in VHA but not in U.S. population AI/AN men. Conclusion: Patterns in racial/ethnic disparities differed between VHA and U.S. populations, with fewer disparities within VHAs equal-access system. Equal-access health care may partially address racial/ethnic mortality disparities, but other nonhealth care factors should also be explored.

Background: Posttraumatic stress disorder (PTSD) is associated with incident diabetes. However, past studies have often included predominantly male samples, despite important sex and gender differences in diabetes. To address this limitation, this study examined the association between PTSD and diabetes in older Veteran women, a population with a high burden of PTSD. Materials and Methods: Data were collected from 4,105 women (Mage = 67.4 years), participating in the Health of Vietnam-Era Veteran Women's Study (HealthViEWS; Department of Veterans Affairs Cooperative Studies Program #579). Participants completed self-report measures of demographics, health conditions, and health behaviors. Information on military service was obtained through service records. A structured clinical interview was conducted by telephone to assess current and lifetime PTSD and other mental health disorders. Weighted descriptive and logistic regression analyses were used to examine associations between PTSD and diabetes. Results: The prevalence of diabetes was 28.4% among women with current full PTSD compared to 23.4%, 17.6%, and 17.5% for current subthreshold, remitted, and no PTSD. In unadjusted analyses, women with current full and subthreshold PTSD were 1.87 [1.49; 2.33] and 1.44 [1.11; 1.85] times more likely to have diabetes compared to women with no PTSD. Remitted PTSD was not associated with increased odds of diabetes. Effects were attenuated but remained significant after adjustment for relevant covariates. Conclusions: Vietnam-era women with current PTSD, including subthreshold symptoms, had a greater likelihood of diabetes compared to women without PTSD. These findings suggest that women with PTSD may benefit from increased diabetes prevention efforts. [ABSTRACT FROM AUTHOR]

PurposeWe evaluated receipt of cervical cancer screening in a national sample of 34,213 women veterans using Veteran Health Administration facilities between 2003 and 2007 and diagnosed with 1) posttraumatic stress disorder (PTSD), or 2) depression, or 3) no psychiatric illness.MethodsOur study featured a cross-sectional design in which logistic regression analyses compared receipt of recommended cervical cancer screening for all three diagnostic groups.ResultsCervical cancer screening rates varied minimally by diagnostic group: 77% of women with PTSD versus 75% with depression versus 75% without psychiatric illness were screened during the study observation period (p < .001). However, primary care use was associated with differential odds of screening in women with versus without psychiatric illness (PTSD or depression), even after adjustment for age, income and physical comorbidities (Wald Chi-square (2): 126.59; p < .0001). Specifically, among low users of primary care services, women with PTSD or depression were more likely than those with no psychiatric diagnoses to receive screening. Among high users of primary care services, they were less likely to receive screening.ConclusionPsychiatric illness (PTSD or depression) had little to no effect on receipt of cervical cancer screening. Our finding that high use of primary care services was not associated with comparable odds of screening in women with versus without psychiatric illness suggests that providers caring for women with PTSD or depression and high use of primary care services should be especially attentive to their preventive healthcare needs.

We sought to describe factors influencing reduced rates of obesity screening for patients with spinal cord injury (SCI) in the United States Veterans Health Administration (VA) and to foster potential solutions. Semi-structured interviews with healthcare providers and patients with SCI who were recruited nationally from diverse VAs. We performed rapid qualitative analysis using content analysis of interview data. There were 36 providers and 37 patients. We identified provider, patient, and system level barriers to obesity screening for individuals with SCI. Overarching barriers involved provider and patient perceptions that obesity screening is a low priority compared to other health conditions, and body mass index is of low utility. Other obesity screening barriers were related to measuring weight (i.e., insufficient equipment, unknown wheelchair weight, staffing shortages, measurement errors, reduced access to annual screening, insufficient time, patient preference not to be weighed) and measuring height (i.e., insufficient guidance and equipment to this population, measurement errors). Barriers to obesity screenings exist for patients with SCI receiving care in VA. Healthcare provider and patient interviews suggest possible solutions, including standardizing height and weight measurement processes, ensuring equipment availability in clinics, clarifying guidelines, and offering support to providers and patients. Individuals with spinal cord injury (SCI) have higher rates of obesity, but are often overlooked for annual obesity screening, even in clinic settings designed to care for individuals with SCI. Results may help tailor guidelines/education for healthcare and rehabilitation providers offering them guidance for improving obesity screening for individuals with SCI by standardizing weight and height measurement and documentation. To facilitate this, findings highlight the need for resources, such as ensuring clinics have necessary equipment, and increasing patient access to support and equipment. Improving the provision of obesity screening for individuals with SCI is necessary to improve health outcomes and patient satisfaction with care. [ABSTRACT FROM AUTHOR]

Background: The prevalence of obesity and comorbidities is high in the population with spinal cord injury (SCI). We sought to determine the effect of SCI on the functional form of the relationship between body mass index (BMI) and risk of developing nonalcoholic fatty liver disease (NAFLD), and assess whether SCI‐specific mapping of BMI to risk of developing NAFLD is needed. Methods: Longitudinal cohort study comparing Veterans Health Administration patients with a diagnosis of SCI to a 1:2 matched control group without SCI. The relationship between BMI and development of NAFLD at any time was assessed with propensity score matched Cox regression models; NAFLD development at 10‐year with a propensity score matched logistic model. The positive predictive value of developing NAFLD at 10 years was calculated for BMI 19–45 kg/m2. Results: 14,890 individuals with SCI met study inclusion criteria, and 29,780 Non‐SCI individuals in matched control group. Overall, 9.2% in SCI group and 7.3% in Non‐SCI group developed NAFLD during the study period. A logistic model assessing the relationship between BMI and the probability of developing a diagnosis of NAFLD demonstrated that the probability of developing disease increased as BMI increased in both cohorts. The probability was significantly higher in the SCI cohort at each BMI threshold (p < 0.01), and increased at a higher rate compared with the Non‐SCI cohort as BMI increased 19–45 kg/m2. Positive predictive value for developing a diagnosis of NAFLD was higher in the SCI group for any given BMI threshold from 19 kg/m2 to BMI 45 kg/m2. Conclusions: The probability of developing NAFLD is greater in individuals with SCI than without SCI, at every BMI level 19 kg/m2 to 45 kg/m2. Individuals with SCI may warrant a higher level of suspicion and closer screening for NAFLD. The association of SCI and BMI is not linear. [ABSTRACT FROM AUTHOR]