Heroes or Health Victims?: Exploring How the Elite Media Frames Veterans on Veterans Day

We examine the frames the elite news media uses to portray veterans on and surrounding Veterans Day 2012, 2013, 2014, and 2015. We use mental health illness and media framing literature to explore how, why, and to what extent Veterans Day news coverage uses different media frames across the four consecutive years. We compiled a Media Coverage Corpora for each year, which contains the quotes and paraphrased remarks used in all veterans news stories for that year. In our primary study, we applied the meaning extraction method (MEM) to extract emergent media frames for Veterans Day 2014 and compiled a word frequency list, which captures the words most commonly used within the corpora. In post hoc analyses, we collected news stories and compiled word frequency lists for Veterans Day 2012, 2013, and 2015. Our findings reveal dissenting frames across 2012, 2013, and 2014 Veterans Day media coverage. Word frequency results suggest the 2012 and 2013 media frames largely celebrate Veterans as heroes, but the 2014 coverage depicts veterans as victimized by their wartime experiences. Furthermore, our results demonstrate how the prevailing 2015 media frames could be a reaction to 2014 frames that portrayed veterans as health victims. We consider the ramifications of this binary portrayal of veterans as either health victims or heroes and discuss the implications of these dueling frames for veterans’ access to healthcare resources.     

Is Thirty‐Day Hospital Mortality Really Lower for Black Veterans Compared with White Veterans?

OBJECTIVE: To examine the source of observed lower risk-adjusted mortality for blacks than whites within the Veterans Affairs (VA) system by accounting for hospital site where treated, potential under-reporting of black deaths, discretion on hospital admission, quality improvement efforts, and interactions by age group. DATA SOURCES: Data are from the VA Patient Treatment File on 406,550 hospitalizations of veterans admitted with a principal diagnosis of acute myocardial infarction, stroke, hip fracture, gastrointestinal bleeding, congestive heart failure, or pneumonia between 1996 and 2002. Information on deaths was obtained from the VA Beneficiary Identification Record Locator System and the National Death Index. STUDY DESIGN: This was a retrospective observational study of hospitalizations throughout the VA system nationally. The primary outcome studied was all-location mortality within 30 days of hospital admission. The key study variable was whether a patient was black or white. PRINCIPAL FINDINGS: For each of the six study conditions, unadjusted 30-day mortality rates were significantly lower for blacks than for whites (p<.01). These results did not vary after adjusting for hospital site where treated, more complete ascertainment of deaths, and in comparing results for conditions for which hospital admission is discretionary versus non-discretionary. There were also no significant changes in the degree of difference by race in mortality by race following quality improvement efforts within VA. Risk-adjusted mortality was consistently lower for blacks than for whites only within the population of veterans over age 65. CONCLUSIONS: Black veterans have significantly lower 30-day mortality than white veterans for six common, high severity conditions, but this is generally limited to veterans over age 65. This differential by age suggests that it is unlikely that lower 30-day mortality rates among blacks within VA are driven by treatment differences by race.     

Rural Veterans’ Perspectives of Dual Care

The purpose of this study was to develop an in-depth understanding of the barriers and enablers of effective dual care (care obtained from the Veterans Health Administration [VHA] and the private health system) for rural veterans. Telephone interviews of a random sample of 1,006 veterans residing in rural Nebraska were completed in 2010. A high proportion of the rural veterans interviewed reported receiving dual care. The common reasons cited for seeking care outside the VHA (or VA [Veterans Administration]) included having an established relationship with a non-VA provider and distance to the nearest VA medical center. Almost half of the veterans who reported having a personal doctor or nurse reported that this was a non-VA provider. Veterans reported high levels of satisfaction with the quality of care they receive. Ordinal logistic regression models found that veterans who were Medicare beneficiaries, and who rated their health status higher had higher satisfaction with dual care. The reasons cited by the veterans for seeking care at the VHA (quality of VHA care, lower costs of VHA care, entitlement) and veterans perceptions about dual care (confused about where to seek care for different ailments, perceived lack of coordination between VA and non VA providers) were significant predictors of veterans’ satisfaction with dual care. This study will guide policymakers in the VA to design a shared care system that can provide seamless, timely, high quality and veteran centered care.     

Agreement between Self-Reported “Ideal” and Currently Used Contraceptive Methods among Women Veterans Using the Veterans Affairs Healthcare System

BackgroundWomen veterans who use the Veterans Affairs Healthcare System theoretically have access to the full range of contraceptive methods. This study explores match between currently used and self-reported “ideal” methods as a potential marker of contraceptive access and preference matching.MethodsThis mixed methods study uses data from a nationally representative survey of reproductive-aged women veterans who use the Veterans Affairs Healthcare System for primary care, including 979 participants at risk of unintended pregnancy. Women reported all contraceptive methods used in the past month and were asked, “If you could choose any method of contraception or birth control to prevent pregnancy, what would be your ideal choice?” and selected a single “ideal” method. If applicable, participants were additionally asked, “Why aren't you currently using this method of contraception?” We used adjusted logistic regression to identify patient-, provider-, and system-level factors associated with ideal–current method match. We qualitatively analyzed open-ended responses about reasons for ideal method nonuse.ResultsOverall, 58% were currently using their ideal method; match was greatest among women selecting an IUD as ideal (73%). Non-White race/ethnicity (adjusted odds ratio, 0.68; 95% confidence interval, 0.52–0.89) and mental illness (adjusted odds ratio, 0.69; 95% confidence interval, 0.52–0.92) were negatively associated with ideal–current match in adjusted analyses; the presence of a gynecologist at the primary care site was associated with an increased odds of match (adjusted odds ratio, 1.35; 95% confidence interval, 1.03–1.75). Modifiable barriers to ideal method use were cited by 23% of women, including access issues, cost concerns, and provider-level barriers; 79% of responses included nonmodifiable reasons for mismatch including relationship factors and pregnancy plans incongruent with ideal method use, suggesting limitations of our measure based on differential interpretation of the word “ideal.”ConclusionsMany women veterans are not currently using the contraceptive method they consider ideal. Results emphasize the complexity of contraceptive method selection and of measuring contraceptive preference matching.     

Women Veterans’ Attrition from the VA Health Care System

PurposePatient attrition from the Veterans Health Administration (VA) health care system could undercut its mission to ensure care for eligible veterans. Attrition of women veterans could exacerbate their minority status and impede systemic efforts to provide high-quality care. We obtained women veterans’ perspectives on why they left or continued to use VA health care.MethodsA sampling frame of new women veteran VA patients was stratified by those who discontinued (attriters) and those who continued (non-attriters) using VA care. Semistructured interviews were conducted from 2017 to 2018. Transcribed interviews were coded for women's decision-making, contexts, and recommendations related to health care use.ResultsFifty-one women veterans (25 attriters and 26 non-attriters) completed interviews. Reasons for attrition included challenging patient care experiences (e.g., provider turnover, claim processing challenges) and the availability of private health insurance. Personal experiences with VA care (e.g., gender-specific care) were impactful in women's decision to use VA. The affordability of VA care was influential for both groups to stay connected to services. More than one-third of women originally categorized as attriters described subsequently reentering or planning to reenter VA care. Suggestions to decrease attrition included increasing outreach, improving access, and continuing to tailor care delivery to women veterans' needs.ConclusionsUnderstanding the drivers of patients’ decisions to use or not use the VA is critical for the development of strategies to improve retention of current patients and optimize health outcomes for veterans. Women veterans described complex reasons why they left or continued using VA, with cost/affordability playing an important role even in considerations of returning to VA after a long hiatus.     

Timeliness and Adequacy of Prenatal Care Among Department of Veterans Affairs–Enrolled Veterans: The First Step May Be the Biggest Hurdle

IntroductionLittle is known about access to and use of prenatal care by veterans using U.S. Department of Veterans Affairs (VA) maternity benefits. We compared the timeliness and adequacy of prenatal care by veteran status and payor.Study DesignWe used VA clinical and admistrative data linked with California vital statistics patient discharge data to identify all births to VA-enrolled veterans and non-veterans between 2000 and 2012. Births were categorized based on veteran status and payor (non-veterans with Medicaid, non-veterans with private insurance, VA-enrolled veterans using VA maternity care benefits, and VA-enrolled veterans with other payor). Outcomes were timeliness of prenatal care (initiation before the end of the first trimester) and adequacy of prenatal care as measured by the Kotelchuck Index (inadequate, intermediate, adequate). Covariates included demographic, health, and pregnancy characteristics. We used generalized linear models and multinomial logistic regression to analyze the association of veteran status and payor with timeliness of prenatal care and adequacy of prenatal care, respectively.ResultsWe identified 6,196,432 births among VA-enrolled veterans (n = 17,495) and non-veterans (n = 6,178,937). Non-veterans using Medicaid had the lowest percentage of timely prenatal care (78.1%; n = 2,240,326), followed by VA-enrolled veterans using VA maternity care benefits (82.8%; n = 1,248). VA-enrolled veterans using VA maternity care benefits were the most likely to receive adequate prenatal care (92.0%; n = 1,365). Results remained consistent after adjustment.ConclusionsThis study provides key baseline data regarding access to and use of prenatal care by veterans using VA maternity benefits. Longitudinal studies including more recent data are needed to understand the impact of changing VA policy.     

The Veterans Health Administration: An American Success Story?

The Veterans Health Administration (VHA) provides health care for U.S. military veterans. By the early 1990s, the VHA had a reputation for delivering limited, poor-quality care, which led to health care reforms. By 2000, the VHA had substantially improved in terms of numerous indicators of process quality, and some evidence shows that its overall performance now exceeds that of the rest of U.S. health care. Recently, however, the VHA has started to become a victim of its own success, with increased demands on the system raising concerns from some that access is becoming overly restricted and from others that its annual budget appropriations are becoming excessive. Nonetheless, the apparent turnaround in the VHA's performance offers encouragement that health care that is both financed and provided by the public sector can be an effective organizational form.     

Defining “Rural” for Veterans’ Health Care Planning

Purpose: The Veterans Health Administration (VHA) devised an algorithm to classify veterans as Urban, Rural, or Highly Rural residents. To understand the policy implications of the VHA scheme, we compared its categories to 3 Office of Management and Budget (OMB) and 4 Rural-Urban Commuting Area (RUCA) geographical categories. Method: Using residence information for VHA health care enrollees, we compared urban-rural classifications under the VHA, OMB, and RUCA schemes; the distributions of rural enrollees across VHA health care networks (Veterans Integrated Service Networks [VISNs]); and how each scheme indicates whether VHA standards for travel time to care are met for the most rural veterans. Results: VHA's Highly Rural and Urban categories are much smaller than the most rural or most urban categories in the other schemes, while its Rural category is much larger than their intermediate categories. Most Highly Rural veterans live in VISNs serving the Rocky Mountains and Alaska. Veterans defined as the most rural by RUCA or OMB are distributed more evenly across most VISNs. Nearly all urban enrollees live within VHA standards for travel time to access VHA care; so do most enrollees defined by RUCA or OMB as the most rural. Only half of Highly Rural enrollees, however, live within an hour of primary care, and 70% must travel more than 2 hours to acute care or 4 hours to tertiary care. Conclusions: VHA's Rural category is very large and broadly dispersed; policy makers should supplement analyses of Rural veterans’ health care needs with more detailed breakdowns. Most of VHA's Highly Rural enrollees live in the western United States where distances to care are great and alternative delivery systems may be needed.     

What Drives Women Veterans’ Trust in VA Healthcare Providers?

IntroductionLittle is known about women veterans’ trust in Veterans Affairs (VA) health care and what factors promote trust in VA providers. We examined provider behaviors and characteristics of women veterans associated with trust in their VA providers.MethodsWe used a 2015 survey of women veterans who were routine users of primary care at 12 VA medical centers (n = 1,395). Patient trust in their VA provider was measured on a seven-item scale. We used multiple logistic regression to examine associations of patient-provider communication and gender appropriateness with complete trust in VA provider (100 [complete trust] vs. <100 [less than complete trust]), controlling for patient characteristics.ResultsOn average, 39.7% of women veterans reported complete trust in their VA providers. Those with complete trust reported greater patient-provider communication and gender appropriateness of VA services than those with less-than-complete trust (all ps ≤ .001). In multiple logistic regression models, higher ratings of provider communication (adjusted odds ratio, 2.37), gender-appropriate care (adjusted odds ratio, 1.93), and trauma-sensitive communication (adjusted odds ratios, 1.79–6.08) were associated with a higher likelihood of reporting complete trust in their VA provider.ConclusionsWomen veterans reported high levels of trust in their VA providers. Provider communication, gender-appropriate care, and trauma-sensitive communication were associated with greater patient trust. Although it is important to highlight the steps already taken by VA to increase the quality of care for women veterans, current findings suggest that women veterans’ trust may be further increased by interventions to improve trauma-informed care by VA providers.     

The Focus They Deserve: Improving Women Veterans’ Health Care Access

PurposeVeterans Health Administration (VHA) initiatives aim to provide veterans timely access to quality health care. The focus of this analysis was provider and staff perspectives on women veterans' access in the context of national efforts to improve veterans’ access to care.MethodsWe completed 21 site visits at Veterans Health Administration medical facilities to evaluate the implementation of a national access initiative. Qualitative data collection included semistructured interviews (n = 127), focus groups (n = 81), and observations with local leadership, administrators, providers, and support staff across primary and specialty care services at each facility. Deductive and inductive content analysis was used to identify barriers, facilitators, and contextual factors affecting implementation of initiatives and women veterans’ access.ResultsParticipants identified barriers to women veterans' access and strategies used to improve access. Barriers included a limited availability of providers trained in women's health and gender-specific care services (e.g., women's specialty care), inefficient referral and coordination with community providers, and psychosocial factors (e.g., childcare). Participants also identified issues related to childcare and perceived harassment in medical facility settings as distinct access issues for women veterans. Strategies focused on increasing internal capacity to provide on-site women's comprehensive care and specialty services by streamlining provider training and credentialing, contracting providers, using telehealth, and improving access to community providers to fill gaps in women's services. Participants also highlighted efforts to improve gender-sensitive care delivery.ConclusionsAlthough some issues affect all veterans, problems with community care referrals may disproportionately affect women veterans’ access owing to a necessary reliance on community care for a range of gender-specific services.     

High Prevalence of Low Serum Biologically Active Testosterone in Older Male Veterans

Objectives

Assess the prevalence of hypogonadism in older male Veterans by comparing direct measurements of total testosterone (T) and bioavailable testosterone (BioT) versus indirect BioT values derived from existing and newly developed regression analyses.

A Longitudinal Analysis of Rural and Urban Veterans’ Health-Related Quality of Life

Context: Cross-sectional studies have identified rural-urban disparities in veterans’ health-related quality-of-life (HRQOL) scores. Purpose: To determine whether longitudinal analyses confirmed that these disparities in veterans’ HRQOL scores persisted. Methods: We obtained data from the SF-12 portion of the veterans health administration's (VA's) Survey of Healthcare Experiences of Patients (SHEP) collected between 2002 and 2006. During that time, the SHEP was randomly administered to approximately 250,000 veterans annually who had used VA outpatient services. We evaluated 163,709 responses from veterans who had completed 2 or more surveys during the years studied. Respondents were classified into rural-urban groups using ZIP Code-based rural-urban commuting area designations. We estimated linear regression models using generalized estimating equations to determine whether rural and urban veterans’ HRQOL scores were changing at different rates over the time period examined. Findings: After adjustment for sociodemographic differences, we found that urban veterans had substantially better physical HRQOL scores than their rural counterparts and that these differences persisted over the study period. While urban veterans had worse mental HRQOL scores than rural veterans, those differences diminished over the time period studied. Conclusions: Rural-urban disparities in HRQOL scores persist when tracking veterans longitudinally. Reduced access among rural veterans to care may contribute to these disparities. Because rural soldiers are overrepresented in current conflicts, the VA should consider new models of care delivery to improve access to care for rural veterans.