Veterans Health Administration Healthcare Coverage and Medical Financial Hardship in Low-Income Veterans.

INTRODUCTION: The Veterans Health Administration (VA) provides low- to no-cost care to enrolled veterans with low incomes. This study assessed the associations between VA coverage and medical financial hardship among U.S. veterans with low incomes. METHODS: Using 2015-2018 National Health Interview Survey data, veterans aged ≥18 years with incomes <200% of the Federal Poverty Level were identified (crude n=2,468, weighted n=3,872,252). Four types of medical financial hardship were assessed: objective, and subjective material, psychologic, and behavioral medical financial hardship. Survey-weighted proportions of veterans with medical financial hardship were calculated, and adjusted probabilities of medical financial hardship that accounted for Veteran characteristics, year-fixed effects, and survey sampling design were estimated. Analyses were conducted from August through December 2022. RESULTS: Overall, 34.5% of veterans with low incomes had VA coverage. Among veterans without VA coverage, 38.7% had Medicare insurance, 18.2% had Medicaid insurance, 16.5% had private insurance, 13.5% had other public insurance, and 13.1% were uninsured. In adjusted analyses, veterans with VA coverage had lower probabilities of objective (-8.13 percentage point, p=0.008), subjective material (-6.55 percentage point, p=0.034), subjective psychologic (-10.33 percentage point, p=0.003), and subjective behavioral (-6.72 percentage point, p=0.031) medical financial hardship than veterans with Medicare and no VA coverage. CONCLUSIONS: VA coverage was associated with protection against four types of medical financial hardship among veterans with low incomes, yet many are not enrolled. Research is needed to understand reasons these veterans lack VA coverage and to identify strategies to address medical financial hardship.

Dynamic waitlisted design for evaluating a randomized trial of evidence-based quality improvement of comprehensive women's health care implementation in low-performing VA facilities.

BACKGROUND: Women's Health Services (WHS) in the Veterans Health Administration (VA) has long partnered with VA researchers to evaluate how VA care is organized for women veterans. This partnership has yielded substantial evidence of (1) variations in women veterans' access to comprehensive healthcare services that contribute to disparities in quality and patient experience and (2) the positive impacts of gender-specific care models for women veterans' quality and satisfaction. In an effort to provide support specifically to sites that were low-performing in women's health, WHS and the VA Quality Enhancement Research Initiative co-funded an effort to roll out and evaluate evidence-based quality improvement (EBQI), an implementation strategy with demonstrated effectiveness in a prior cluster randomized trial in women's health clinics. METHODS: We will identify 21 low-performing VA facilities through a combination of practice data, VA quality metrics (by gender), and other indicators. In partnership with WHS, an EBQI contractor will deliver the EBQI "package"-local consensus development and priority setting using stakeholder panels, multilevel stakeholder engagement, practice facilitation, local EBQI team training, and formative feedback-to participating sites. We propose a dynamic wait-listed design to evaluate the WHS plans for seven EBQI launches per year over 3 years. The goal is to evaluate (1) barriers and facilitators to achieving delivery of comprehensive women's health care in low-performing VA facilities; (2) effectiveness of EBQI in supporting low-performing VA facilities to achieve improved practice features (e.g., level of comprehensive services available, care coordination arrangements, Patient Aligned Care Team (PACT) features implemented, environment of care improvements), provider/staff attitudes (e.g., improved gender awareness, women's health knowledge and practice), quality of care, and patient experience; and (3) contextual factors, local implementation processes, and organizational changes over time. DISCUSSION: Access to comprehensive women's health care reduces fragmentation of care, improves patient satisfaction, and results in better patient outcomes. We hypothesize that EBQI implementation will result in changes in leadership awareness and buy-in, multilevel engagement in problem-solving, an enhanced culture of quality improvement, structural changes in care, improved provider/staff attitudes, and better quality and patient experience. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03238417. Registered 3 August 2017. Retrospectively registered, https://clinicaltrials.gov/ct2/show/study/NCT03238417.

Relationship of neighborhood social determinants of health on racial/ethnic mortality disparities in US veterans-Mediation and moderating effects.

OBJECTIVE: To examine mediation and moderation of racial/ethnic all-cause mortality disparities among Veteran Health Administration (VHA)-users by neighborhood deprivation and residential segregation. DATA SOURCES: Electronic medical records for 10/2008-9/2009 VHA-users linked to National Death Index, 2000 Area Deprivation Index, and 2006-2009 US Census. STUDY DESIGN: Racial/ethnic groups included American Indian/Alaskan Native (AI/AN), Asian, non-Hispanic black, Hispanic, Native Hawaiian/Other Pacific Islander, and non-Hispanic white (reference). We measured neighborhood deprivation by Area Deprivation Index, calculated segregation for non-Hispanic black, Hispanic, and AI/AN using the Isolation Index, evaluated mediation using inverse odds-weighted Cox regression models and moderation using Cox regression models testing for neighborhood*race/ethnicity interactions. PRINCIPAL FINDINGS: Mortality disparities existed for AI/ANs (HR = 1.07, 95%CI:1.01-1.10) but no other groups after covariate adjustment. Neighborhood deprivation and Hispanic segregation neither mediated nor moderated AI/AN disparities. Non-Hispanic black segregation both mediated and moderated AI/AN disparities. The AI/AN vs. non-Hispanic white disparity was attenuated for AI/ANs living in neighborhoods with greater non-Hispanic black segregation (P = .047). Black segregation's mediating effect was limited to VHA-users living in counties with low black segregation. AI/AN segregation also mediated AI/AN mortality disparities in counties that included or were near AI/AN reservations. CONCLUSIONS: Neighborhood characteristics, particularly black and AI/AN residential segregation, may contribute to AI/AN mortality disparities among VHA-users, particularly in communities that were rural, had greater black segregation, or were located on or near AI/AN reservations. This suggests the importance of neighborhood social determinants of health on racial/ethnic mortality disparities. Living near reservations may allow AI/AN VHA-users to maintain cultural and tribal ties, while also providing them with access to economic and other resources. Future research should explore the experiences of AI/ANs living in black communities and underlying mechanisms to identify targets for intervention.

Racial/Ethnic Disparities in Mortality Across the Veterans Health Administration.

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.

Substance Use Disorder-Related Disparities in Patient Experiences of Primary Care.

Purpose: To assess disparities in primary care experiences for patients with a substance use disorder (SUD) diagnosis. Methods: We assessed differences in Veterans Health Administration (VA) primary care patients' experiences using data from the 2014 outpatient VA Patient-Centered Medical Home Survey of Healthcare Experiences of Patients (SHEP; N=286,026). We obtained patient demographics and diagnoses from VA electronic medical record data. Results: Patients with an SUD diagnosis reported worse experiences for 8 of 12 SHEP measures, including access, provider communication, and information received (p<0.05). Conclusion: Targeted strategies may be needed to ensure patients with SUD have favorable primary care experiences.

Obesity and Health Care Experiences among Women and Men Veterans.

BACKGROUND: Obesity is highly stigmatized, especially for women, and therefore may negatively affect health care experiences. Past findings on the relationship between obesity and health care experiences are mixed, perhaps because few studies examine relationships by gender and obesity class. Our objective was to evaluate whether women and men with more severe obesity report worse health care experiences related to Veterans Health Administration (VA) care. METHODS: Health care experiences (self-management support, mental health assessments, office staff courtesy, communication with providers) and overall provider ratings were assessed with the 2014 VA Survey of Health Care Experiences of Patients. Using multiple regression analyses (n = 13,462 women, n = 268,180 men), we assessed associations among obesity classes, health care experiences, and overall provider ratings, adjusting for sociodemographic, health, and primary care use characteristics. RESULTS: The greatest differences in health care experiences between patients with and without obesity were in self-management support experiences, which were more favorable among women and men of all obesity classes. There were gender differences in associations between obesity and mental health assessments: for men, but not women, those in any obesity class gave higher ratings than those without obesity. For most other health care experiences and provider ratings, men with obesity reported slightly less favorable experiences than those without. There was no consistent pattern for women. CONCLUSIONS: It is promising that VA patients with obesity report more self-management support, given the behavior change required for weight management. Lower health care experience and provider ratings among men with obesity suggest a need to further investigate possible obesity-related stigma in VA primary care.

Differences by Veteran/civilian status and gender in associations between childhood adversity and alcohol and drug use disorders.

PURPOSE: To examine differences by US military Veteran status and gender in associations between childhood adversity and DSM-5 lifetime alcohol and drug use disorders (AUD/DUD). METHODS: We analyzed nationally representative data from 3119 Veterans (n = 379 women; n = 2740 men) and 33,182 civilians (n = 20,066 women; n = 13,116 men) as provided by the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III). We used weighted multinomial logistic regression, tested interaction terms, and calculated predicted probabilities by Veteran status and gender, controlling for covariates. To test which specific moderation contrasts were statistically significant, we conducted pairwise comparisons. RESULTS: Among civilians, women had lower AUD and DUD prevalence than men; however, with more childhood adversity, this gender gap narrowed for AUD and widened for DUD. Among Veterans, in contrast, similar proportions of women and men had AUD and DUD; with more childhood adversity, AUD-predicted probability among men surpassed that of women. Childhood adversity elevated AUD probability among civilian women to levels exhibited by Veteran women. Among men, Veterans with more childhood adversity were more likely than civilians to have AUD, and less likely to have DUD. CONCLUSIONS: Childhood adversity alters the gender gap in AUD and DUD risk, and in ways that are different for Veterans compared with civilians. Department of Defense, Veterans Affairs, and community health centers can prevent and ameliorate the harmful effects of childhood adversity by adapting existing behavioral health efforts to be trauma informed, Veteran sensitive, and gender tailored.

Racial And Ethnic Disparities Persist At Veterans Health Administration Patient-Centered Medical Homes.

Patient-centered medical homes are widely promoted as a primary care delivery model that achieves better patient outcomes. It is unknown if their benefits extend equally to all racial/ethnic groups. In 2010 the Veterans Health Administration, part of the Department of Veterans Affairs (VA), began implementing patient-centered medical homes nationwide. In 2009 significant disparities in hypertension or diabetes control were present for most racial/ethnic groups, compared with whites. In 2014 hypertension disparities were similar for blacks, had become smaller but remained significant for Hispanics, and were no longer significant for multiracial veterans, whereas disparities had become significant for American Indians/Alaska Natives and Native Hawaiians/other Pacific Islanders. By contrast, in 2014 diabetes disparities were similar for American Indians/Alaska Natives, blacks, and Hispanics, and were no longer significant for Native Hawaiians/other Pacific Islanders. We found that the modest benefits of the VA's implementation of patient-centered medical homes were offset by competing multifactorial external, health system, provider, and patient factors, such as increased patient volume. To promote health equity, health care innovations such as patient-centered medical homes should incorporate tailored strategies that account for determinants of racial/ethnic variations. Evaluations of patient-centered medical homes should monitor outcomes for racial/ethnic groups.

Are Improvements in Measured Performance Driven by Better Treatment or "Denominator Management"?

BACKGROUND: Process measures of healthcare quality are usually formulated as the number of patients who receive evidence-based treatment (numerator) divided by the number of patients in the target population (denominator). When the systems being evaluated can influence which patients are included in the denominator, it is reasonable to wonder if improvements in measured quality are driven by expanding numerators or contracting denominators. OBJECTIVE: In 2003, the US Department of Veteran Affairs (VA) based executive compensation in part on performance on a substance use disorder (SUD) continuity-of-care quality measure. The first goal of this study was to evaluate if implementing the measure in this way resulted in expected improvements in measured performance. The second goal was to examine if the proportion of patients with SUD who qualified for the denominator contracted after the quality measure was implemented, and to describe the facility-level variation in and correlates of denominator contraction or expansion. DESIGN: Using 40 quarters of data straddling the implementation of the performance measure, an interrupted time series design was used to evaluate changes in two outcomes. PARTICIPANTS: All veterans with an SUD diagnosis in all VA facilities from fiscal year 2000 to 2009. MAIN MEASURES: The two outcomes were 1) measured performance-patients retained/patients qualified and 2) denominator prevalence-patients qualified/patients with SUD program contact. KEY RESULTS: Measured performance improved over time (P < 0.001). Notably, the proportion of patients with SUD program contact who qualified for the denominator decreased more rapidly after the measure was implemented (p = 0.02). Facilities with higher pre-implementation denominator prevalence had steeper declines in denominator prevalence after implementation (p < 0.001). CONCLUSIONS: These results should motivate the development of measures that are less vulnerable to denominator management, and also the exploration of "shadow measures" to monitor and reduce undesirable denominator management.

Substance use among women veterans: epidemiology to evidence-based treatment.

An increasing percentage of women are U.S. Military Veterans. We review the substance misuse rates and comorbidities and the risk factors for and consequences of substance use among women Veterans. Women Veterans may have higher rates of substance misuse and comorbid psychiatric and medical disorders than male Veterans and women who are not Veterans. Studies support the AUDIT-C as a scaled marker of alcohol-related risk among female Veterans, but validated drug screening instruments are needed. We discuss evidence-based approaches in terms of treating women Veterans' substance misuse in primary and specialty care settings, along with knowledge gaps and potential research priorities to improve care in this special population.

The "Latina epidemiologic paradox" revisited: the role of birthplace and acculturation in predicting infant low birth weight for Latinas in Los Angeles, CA.

The "Latina epidemiologic paradox" refers to the observation that despite socioeconomic disadvantages, Latina mothers in the United States (US) have a similar or lower risk for delivering an infant with low birth weight (LBW) compared to non-Latina White mothers. An analogous paradox may exist between foreign-born (FB) and US-born (USB) Latinas. Our goal was to assess differences in LBW in USB Latinas, FB Latinas, and non-Latina Whites in Los Angeles County in 2003 using birth records and survey data. Using logistic regression, we estimated associations between LBW and birthplace/ethnicity in a birth cohort and nested survey responder group and between LBW and acculturation in responders to a follow-up survey. USB Latinas and FB Latinas had a higher prevalence of LBW infants compared to Whites (odds ratio [OR] = 1.34, 95% confidence interval [CI] = (1.17, 1.53) and OR = 1.32, 95% CI = (1.18, 1.49), respectively); when we adjusted for additional maternal risk factors these point estimates were attenuated, and interval estimates were consistent with a modest positive or inverse association. Among Latinas only, LBW was more common for high-acculturated FB and USB Latinas compared to low-acculturated FB Latinas, and there was limited evidence that environmental or behavior risk factors had less impact in low-acculturated Latinas. In summary, adjusting only for demographics, Latinas in our study were more likely to have LBW infants compared to Whites, in contrast to the Latina paradox hypothesis. Furthermore, adjusting for environmental or behavioral factors attenuated the positive association, but there was little evidence that Latinas had a lower prevalence of LBW regardless of the variables included in the models. Finally, among Latinas, there was limited evidence that associations between known risk factors and LBW were modified by acculturation.

Emergent anxiety after antidepressant initiation: a retrospective cohort study of Veterans Affairs Health System patients with depression.

BACKGROUND: Initiation of antidepressant treatment for depression may be associated with new onset (emergent) anxiety. OBJECTIVE: The purpose of this study was to assess demographic and clinical factors associated with emergent anxiety following a new antidepressant start among Department of Veterans Affairs (VA) Health System patients with depression. METHODS: Using a retrospective cohort design, we obtained data from 328,888 VA patients with depression who were newly prescribed 1 of the 7 most commonly used antidepressant drugs between April 1999 and September 2004 from the VA National Depression Registry. We examined the prevalence of emergent anxiety, defined as either a new anxiety diagnoses or by new antianxiety medication starts, during the 12 weeks following new antidepressant start. In multivariate analyses, we assessed the hazard ratios for emerging anxiety associated with patient characteristics and specific antidepressant agents. RESULTS: Approximately 3% of patients developed clinically significant anxiety within 12 weeks of starting an antidepressant drug regimen. Younger age (age <45 years and 45-64 years) was associated with higher risks for emergent anxiety than older age (≥65 years) (hazard ratio [HR] = 1.72 and 1.55; 95% CI, 1.59-1.85, and 1.38-1.72, respectively). Female gender was associated with higher risks than male gender (HR = 1.17; 95% CI, 1.10-1.26), and white and other races compared with black race were associated with higher risks of emergent anxiety (HR = 1.49 and 1.13; 95% CI, 1.30-1.59 and 1.04-1.23, respectively). Finally, filling antidepressant drug prescriptions in years subsequent to 1999 was associated with lower risks of emergent anxiety. CONCLUSIONS: Only a small proportion of patients developed emergent anxiety following a new antidepressant start, resulting in a new diagnosis or antianxiety medication use. Anxiety occurred more often in young adults, whites, and women.

Estimated deaths attributable to social factors in the United States.

OBJECTIVES: We estimated the number of deaths attributable to social factors in the United States. METHODS: We conducted a MEDLINE search for all English-language articles published between 1980 and 2007 with estimates of the relation between social factors and adult all-cause mortality. We calculated summary relative risk estimates of mortality, and we obtained and used prevalence estimates for each social factor to calculate the population-attributable fraction for each factor. We then calculated the number of deaths attributable to each social factor in the United States in 2000. RESULTS: Approximately 245,000 deaths in the United States in 2000 were attributable to low education, 176,000 to racial segregation, 162,000 to low social support, 133,000 to individual-level poverty, 119,000 to income inequality, and 39,000 to area-level poverty. CONCLUSIONS: The estimated number of deaths attributable to social factors in the United States is comparable to the number attributed to pathophysiological and behavioral causes. These findings argue for a broader public health conceptualization of the causes of mortality and an expansive policy approach that considers how social factors can be addressed to improve the health of populations.

Preterm birth: the interaction of traffic-related air pollution with economic hardship in Los Angeles neighborhoods.

Preterm birth may be affected by the interaction of residential air pollution with neighborhood economic hardship. The authors examined variations in traffic-related pollution exposure--measured by distance-weighted traffic density--using a framework reflecting the social and physical environments. An adverse social environment was conceptualized as low socioeconomic status (SES) neighborhoods--census tracts with concentrated poverty, unemployment, and dependence on public assistance. An adverse physical environment was depicted by the winter season, when thermal inversions trap motor vehicle pollutants, thereby increasing traffic-related air pollution. Los Angeles County, California, birth records from 1994 to 1996 were linked to traffic counts, census data, and ambient air pollution measures. The authors fit multivariate logistic models of preterm birth, stratified by neighborhood SES and third pregnancy trimester season. Traffic-related air pollution exposure disproportionately affected low SES neighborhoods in the winter. Further, in these poorer neighborhoods, the winter season evidenced increased susceptibility among women with known risk factors. Health insurance was most beneficial to women residing in neighborhoods exposed to economic hardship and an adverse physical environment. Reducing preterm births warrants a concerted effort of social, economic, and environmental policies, focused on not only individual risk factors but also the reduction of localized air pollution, expansion of health-care coverage, and improvement of neighborhood resources.

Comparison of methods for identifying a population-based sample of Filipina women for a health survey.

This paper describes and compares 2 random-digit dialing (RDD) methods that have been used to select minority subjects for population-based research. These methods encompass the census-based method, which draws its primary sampling units from census tracts with a high proportion of minority persons, and the registry-based method, which derives its primary sampling units from a population-based cancer registry. Our study targeted Filipinos living in 10 Northern California counties, where they constitute 4% of the total population. Eligible participants (Filipina women, at least aged 20, who spoke 1 of 4 interview languages) were asked to complete a short telephone interview. Both the census and registry methods located Filipino households with comparable efficiency and with a higher yield than would be expected in a non-targeted population survey, such as the Mitofsky-Waksberg RDD method. No systematic pattern of responses was evident that would indicate that either method sampled women who were systematically less acculturated or less likely to use cancer screening tests. Although both methods offer substantial gains in efficiency, their utility is limited by generating samples that tend to over-represent high-density areas. The degree to which these methods are considered viable depends on further refinement to limit, or eliminate, their inherent selection biases without sacrificing their increased efficiency to locate minority populations.