Perceived racial discrimination in health care: a comparison of Veterans Affairs and other patients

Factors Associated With Mental Healthcare Utilization Among United States Military Personnel With Posttraumatic Stress Disorder or Depression Symptoms

INTRODUCTION

Although posttraumatic stress disorder (PTSD) and depression are prominent mental health conditions affecting United States service members, only a subset of individuals with these conditions utilize mental healthcare services. Identifying factors associated with mental healthcare utilization may elucidate military subgroups with unmet mental healthcare needs.

METHODS

Cross-sectional survey data from the 2019-2021 Millennium Cohort Study assessment were used to examine correlates of unmet mental healthcare needs among military personnel who screened positive for PTSD or depression symptoms (n=18,420) using modified Poisson regression models. Data analyses for this study were conducted between 2023 and 2024.

RESULTS

Approximately 32%-43% of service members reported receiving any mental health care in the past 12 months. Hispanic and Asian or Pacific Islander personnel and those with certain service characteristics (higher pay grade, recent deployment, experienced discrimination) had a lower likelihood of mental healthcare utilization. Female sex, greater symptom severity, experiencing bullying, and other psychosocial factors were associated with greater likelihood of mental healthcare utilization.

CONCLUSIONS

One third of service members with PTSD or depression symptoms reported any mental healthcare use, highlighting the need to identify factors that may impede or delay treatment. Racial and ethnic disparities in treatment utilization persist, as do differences in utilization by military characteristics. Further research and initiatives are necessary to identify potential service-specific or cultural barriers and provide equitable quality and access to needed mental health services within the Military Health System.

Health Equity in the Veterans Health Administration From Veterans' Perspectives by Race and Sex

Importance

Advancing equitable patient-centered care in the Veterans Health Administration (VHA) requires understanding the differential experiences of unique patient groups.

Objective

To inform a comprehensive strategy for improving VHA health equity through the comparative qualitative analysis of care experiences at the VHA among veterans of Black and White race and male and female sex.

Design, Setting, and Participants

This qualitative study used a technique termed freelisting, an anthropologic technique eliciting responses in list form, at an urban academic VHA medical center from August 2, 2021, to February 9, 2022. Participants included veterans with chronic hypertension. The length of individual lists, item order in those lists, and item frequency across lists were used to calculate a salience score for each item, allowing comparison of salient words and topics within and across different groups. Participants were asked about current perceptions of VHA care, challenges in the past year, virtual care, suggestions for change, and experiences of racism. Data were analyzed from February 10 through September 30, 2022.

Main Outcomes and Measures

The Smith salience index, which measures the frequency and rank of each word or phrase, was calculated for each group.

Results

Responses from 49 veterans (12 Black men, 12 Black women, 12 White men, and 13 White women) were compared by race (24 Black and 25 White) and sex (24 men and 25 women). The mean (SD) age was 64.5 (9.2) years. Some positive items were salient across race and sex, including "good medical care" and telehealth as a "comfortable/great option," as were some negative items, including "long waits/delays in getting care," "transportation/traffic challenges," and "anxiety/stress/fear." Reporting "no impact" of racism on experiences of VHA health care was salient across race and sex; however, reports of race-related unprofessional treatment and active avoidance of race-related conflict differed by race (present among Black and not White participants). Experiences of interpersonal interactions also diverged. "Impersonal/cursory" telehealth experiences and the need for "more personal/attentive" care were salient among women and Black participants, but not men or White participants, who associated VHA care with courtesy and respect.

Conclusions and Relevance

In this qualitative freelist study of veteran experiences, divergent experiences of interpersonal care by race and sex provided insights for improving equitable, patient-centered VHA care. Future research and interventions could focus on identifying differences across broader categories both within and beyond race and sex and bolstering efforts to improve respect and personalized care to diverse veteran populations.

The Effects of Osteoarthritis on Depressive Symptomatology Among Older U.S. Military Veterans

Osteoarthritis (OA) is a leading cause of disability among older adults. By 2050, approximately 60 million will suffer from arthritis adding up to a total societal cost of $65 billion. Chronic illnesses resulting in pain, and functional decline have been associated with depression in previous studies.A causal model was developed and tested using structural equation modeling that examined depression scores of 503 older (age 50-85), male Veterans with moderate to severe symptomatic OA of the knee\hip.The results of the structural equation modeling produced a final model of depressive symptomatology that fit the data well (Chi square = 12.23, DF = 11, p = .346; TLI = .99; CFI = 1.00; RMSEA = .02).The findings indicate the central role that OA severity (pain, stiffness, and functional difficulties) plays in the mental health of older Veterans in terms of the level of reported depressive symptoms.

Enhanced Identification of Hispanic Ethnicity Using Clinical Data: A Study in the Largest Integrated United States Health Care System

BACKGROUND

Collection of accurate Hispanic ethnicity data is critical to evaluate disparities in health and health care. However, this information is often inconsistently recorded in electronic health record (EHR) data.

OBJECTIVE

To enhance capture of Hispanic ethnicity in the Veterans Affairs EHR and compare relative disparities in health and health care.

METHODS

We first developed an algorithm based on surname and country of birth. We then determined sensitivity and specificity using self-reported ethnicity from the 2012 Veterans Aging Cohort Study survey as the reference standard and compared this to the research triangle institute race variable from the Medicare administrative data. Finally, we compared demographic characteristics and age-adjusted and sex-adjusted prevalence of conditions in Hispanic patients among different identification methods in the Veterans Affairs EHR 2018-2019.

RESULTS

Our algorithm yielded higher sensitivity than either EHR-recorded ethnicity or the research triangle institute race variable. In 2018-2019, Hispanic patients identified by the algorithm were more likely to be older, had a race other than White, and foreign born. The prevalence of conditions was similar between EHR and algorithm ethnicity. Hispanic patients had higher prevalence of diabetes, gastric cancer, chronic liver disease, hepatocellular carcinoma, and human immunodeficiency virus than non-Hispanic White patients. Our approach evidenced significant differences in burden of disease among Hispanic subgroups by nativity status and country of birth.

CONCLUSIONS

We developed and validated an algorithm to supplement Hispanic ethnicity information using clinical data in the largest integrated US health care system. Our approach enabled clearer understanding of demographic characteristics and burden of disease in the Hispanic Veteran population.

Racial disparities in health care utilization, the affordable care act and racial concordance preference

The Affordable Care Act was implemented with the aim of increasing coverage and affordable access with hopes of improving health outcomes and reducing costs. Yet, disparities persist. Coverage and affordable access alone cannot explain the health care gap between racial/ethnic minorities and white patients. Instead, the focus has turned to other factors affecting utilization rates such as the patient-provider relationship. Data from nationally represented U.S. households in 2009-2017 were used to study the association between patient-provider social distance as measured by "racial/ethnic concordance" and health care utilization rates for periods covering pre- and post-ACA. Despite the reduction in financial barriers to health access with the implementation of the ACA, the correlation between racial/ethnic concordance and utilization remains positive and significant. The results suggest that while the ACA may have improved coverage and affordability, other dimensions of access, particularly acceptability, as measured by patient-provider clinical interaction experience, remains a factor in the decision to utilize care.

Changes in the associations of race and rurality with SARS-CoV-2 infection, mortality, and case fatality in the United States from February 2020 to March 2021: A population-based cohort study

BACKGROUND

We examined whether key sociodemographic and clinical risk factors for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and mortality changed over time in a population-based cohort study.

METHODS AND FINDINGS

In a cohort of 9,127,673 persons enrolled in the United States Veterans Affairs (VA) healthcare system, we evaluated the independent associations of sociodemographic and clinical characteristics with SARS-CoV-2 infection (n = 216,046), SARS-CoV-2-related mortality (n = 10,230), and case fatality at monthly intervals between February 1, 2020 and March 31, 2021. VA enrollees had a mean age of 61 years (SD 17.7) and were predominantly male (90.9%) and White (64.5%), with 14.6% of Black race and 6.3% of Hispanic ethnicity. Black (versus White) race was strongly associated with SARS-CoV-2 infection (adjusted odds ratio [AOR] 5.10, [95% CI 4.65 to 5.59], p-value <0.001), mortality (AOR 3.85 [95% CI 3.30 to 4.50], p-value < 0.001), and case fatality (AOR 2.56, 95% CI 2.23 to 2.93, p-value < 0.001) in February to March 2020, but these associations were attenuated and not statistically significant by November 2020 for infection (AOR 1.03 [95% CI 1.00 to 1.07] p-value = 0.05) and mortality (AOR 1.08 [95% CI 0.96 to 1.20], p-value = 0.21) and were reversed for case fatality (AOR 0.86, 95% CI 0.78 to 0.95, p-value = 0.005). American Indian/Alaska Native (AI/AN versus White) race was associated with higher risk of SARS-CoV-2 infection in April and May 2020; this association declined over time and reversed by March 2021 (AOR 0.66 [95% CI 0.51 to 0.85] p-value = 0.004). Hispanic (versus non-Hispanic) ethnicity was associated with higher risk of SARS-CoV-2 infection and mortality during almost every time period, with no evidence of attenuation over time. Urban (versus rural) residence was associated with higher risk of infection (AOR 2.02, [95% CI 1.83 to 2.22], p-value < 0.001), mortality (AOR 2.48 [95% CI 2.08 to 2.96], p-value < 0.001), and case fatality (AOR 2.24, 95% CI 1.93 to 2.60, p-value < 0.001) in February to April 2020, but these associations attenuated over time and reversed by September 2020 (AOR 0.85, 95% CI 0.81 to 0.89, p-value < 0.001 for infection, AOR 0.72, 95% CI 0.62 to 0.83, p-value < 0.001 for mortality and AOR 0.81, 95% CI 0.71 to 0.93, p-value = 0.006 for case fatality). Throughout the observation period, high comorbidity burden, younger age, and obesity were consistently associated with infection, while high comorbidity burden, older age, and male sex were consistently associated with mortality. Limitations of the study include that changes over time in the associations of some risk factors may be affected by changes in the likelihood of testing for SARS-CoV-2 according to those risk factors; also, study results apply directly to VA enrollees who are predominantly male and have comprehensive healthcare and need to be confirmed in other populations.

CONCLUSIONS

In this study, we found that strongly positive associations of Black and AI/AN (versus White) race and urban (versus rural) residence with SARS-CoV-2 infection, mortality, and case fatality observed early in the pandemic were ameliorated or reversed by March 2021.

The Impact of Discriminatory Stress on Changes in Posttraumatic Stress Severity at the Intersection of Race/Ethnicity and Gender

Given the diversity of military veterans and growing evidence of ethnoracial disparities in posttraumatic stress disorder (PTSD) within this population, elucidating the role of discrimination-related stress in contributing to these disparities is crucial. We examined the relative impact of discriminatory stress (i.e., due to race/ethnicity, religion, nationality, gender, sexual orientation, or physical appearance) on 6-month changes in PTSD symptom severity among trauma-exposed White (74%), Black (11%) and Hispanic/Latino/a/x (15%) veterans (17% female). PTSD symptoms were measured with the 8-item PTSD Checklist for DSM-5. A measure of the extent to which discrimination has caused stress for the respondent assessed discriminatory stress. Hierarchical regression analyses examined interactions among race/ethnicity, gender and discriminatory stress in predicting six-month changes in PTSD severity. Black and Hispanic/Latino/a/x veterans reported higher baseline PTSD severity and discriminatory stress than White veterans, with some variation by gender. Three-way interactions of race/ethnicity by discriminatory stress by gender were significant, controlling for income, education and age. The relationship between discriminatory stress and increases in PTSD severity was significantly stronger for Black women compared with Black men and did not differ between White men and women. There was also a stronger relationship between discriminatory stress and increases in PTSD severity for Hispanic/Latino/x men as compared to Black men. These findings suggest that discriminatory stress impacts PTSD severity differentially for various ethnoracial/gender groups and highlight the value of applying an intersectional framework that accounts for the synergistic connections among multiple identities to future screening, intervention, and research efforts.

Cumulative Disadvantage and Disparities in Depression and Pain Among Veterans With Osteoarthritis: The Role of Perceived Discrimination

OBJECTIVE

Perceived discrimination is associated with chronic pain and depression and contributes to racial health disparities. In a cohort of older adult veterans with osteoarthritis (OA), our objective was to examine how membership in multiple socially disadvantaged groups (cumulative disadvantage) was associated with perceived discrimination, pain, and depression. We also tested whether perceived discrimination mediated the association of cumulative disadvantage with depression and pain.

METHODS

We analyzed baseline data from 270 African American veterans and 247 White veterans enrolled in a randomized controlled trial testing a psychological intervention for chronic pain at 2 Department of Veterans Affairs medical centers. Participants were age ≥50 years and self-reported symptomatic knee OA. Measures included the Everyday Discrimination Scale, the Patient Health Questionnaire Depression Scale, the Western Ontario and McMaster Universities Osteoarthritis Index pain subscale, and demographic variables. Cumulative disadvantage was defined as the number of socially disadvantaged groups to which each participant belonged (i.e., self-reported female sex, African American race, annual income of <$20,000, and/or unemployed due to disability). We used linear regression models and Sobel's test of mediation to examine hypotheses.

RESULTS

The mean ± SD number of social disadvantages was 1.3 ± 1.0. Cumulative disadvantage was significantly associated with higher perceived discrimination, pain, and depression (P < 0.001 for all). Perceived discrimination significantly mediated the association between cumulative disadvantage and depression symptoms (Z = 3.75, P < 0.001) as well as pain severity (Z = 2.24, P = 0.025).

CONCLUSION

Perceived discrimination is an important psychosocial stressor that contributes to worsening OA-related mental and physical health outcomes, with greater effects among those from multiple socially disadvantaged groups.

Identifying healthcare experiences associated with perceptions of racial/ethnic discrimination among veterans with pain: A cross-sectional mixed methods survey

Background

Healthcare experiences associated with perceived racial/ethnic discrimination among patients are poorly understood.

Objective

Identify domains of patient dissatisfaction associated with perceived racial/ethnic discrimination among patients with pain.

Design

Semi-structured telephone surveys completed in 2013–2015.

Participants

White, African American, and Latino participants who reported receiving pain management from 25 Veterans Affairs (VA) Medical Centers.

Main measures

Surveys included open-ended questions about healthcare satisfaction/dissatisfaction and a measure of perceived racial/ethnic-based discrimination while seeking VA healthcare. Binary indicators for ten qualitative domains of dissatisfaction were derived from open-ended questions. We used multilevel models to identify dissatisfaction domains associated with perceived discrimination, adjusting for patient characteristics and site. Within domains associated with discrimination, we identified the most frequent codes and examined whether patients primarily referenced clinical or non-clinical staff in their experiences.

Key results

Overall, 622 participants (30.4% White, 37.8% African American, 31.8% Latino; 57.4% female; mean age = 53.4) reported a median discrimination score of 1.0 (IQR: 1.0–1.3) on a scale of 1 to 5; 233 (37.5%) perceived any racial/ethnic discrimination in healthcare. Individually, 7 of 10 qualitative domains were significantly associated with perceived discrimination: dissatisfaction with care quality, facilities, continuity of care, interactions with staff, staff demeanor, unresolved pain, and pharmacy services (ps<0.005). In combined models stratified by racial/ethnic group, 3 domains remained statistically significant: poor interactions for Latinos (adjOR = 5.24, 95% CI = 2.28–12.06), negative demeanor for African Americans (adjOR = 2.82, 95% CI = 1.45–5.50), and unresolved pain for Whites (adjOR = 6.23, 95% CI = 2.39–16.28). Clinical staff were referenced more often than non-clinical staff for all domains (interactions: 51% vs. 30%; demeanor: 46% vs. 15%; unresolved pain: 18% vs. 1%, respectively).

Conclusion

Negative interpersonal experiences and unresolved pain are strong correlates of perceived racial/ethnic discrimination among patients with pain. Future studies should test whether interventions targeting these domains reduce patient perceptions of racial/ethnic discrimination in healthcare.

Experiences of Perceived Gender-based Discrimination Among Women Veterans: Data From the ECUUN Study

BACKGROUND

Experiences of discrimination are associated with poor health behaviors and outcomes. Understanding discrimination in health care informs interventions to improve health care experiences.

OBJECTIVE

Describe the prevalence of, and variables associated with, perceived gender-based discrimination in the Veterans Affairs (VA) Healthcare System among women Veterans.

DESIGN

A cross-sectional, telephone-based survey of a random national sample of young female Veterans.

PARTICIPANTS

Female VA primary care patients aged 18-45 years.

MAIN MEASURES

The primary outcome was perceived gender-based discrimination in VA health care. Logistic and linear regression models were used to determine associations between any perceived discrimination and cumulative perceived discrimination with patient and health service characteristics.

KEY RESULTS

Among 2294 women Veterans, 33.7% perceived gender-based discrimination in VA. Perceiving gender-based discrimination was associated with medical illness [adjusted odds ratio (aOR)=1.67, 95% confidence interval (CI)=1.34, 2.08], mental illness (aOR=2.06, 95% CI=1.57, 2.69), and military sexual trauma (aOR=2.65, 95% CI=2.11, 3.32). Receiving most health care from the same VA provider (aOR=0.73, 95% CI=0.57, 0.94) and receiving care at a VA site with a women's health clinic (aOR=0.76, 95% CI=0.61, 0.95) were associated with reduced odds of any perceived gender-based discrimination. Among those who perceived gender-based discrimination (n=733), perceived discrimination scores were higher among women with increased age, medical illness, or history of military sexual trauma and lower among those who saw the same VA provider for most medical care.

CONCLUSIONS

One third of women Veterans perceived gender-based discrimination in VA. Obtaining most medical care from the same VA provider and having a women's health clinic at one's VA were associated with less perceived discrimination.

Racial Discrimination in Health Care and Utilization of Health Care: a Cross-sectional Study of California Adults

BACKGROUND

Racial and ethnic discrimination in health care have been associated with suboptimal use of health care. However, limited research has examined how facets of health care utilization influence, and are influenced by, discrimination.

OBJECTIVE

This study aimed to determine if type of insurance coverage and location of usual source of care used were associated with perceptions of racial or ethnic discrimination in health care. Additionally, this study examined if perceived racial or ethnic discrimination influenced delaying or forgoing prescriptions or medical care.

DESIGN

Data from the 2015-2016 California Health Interview Survey were used. Logistic regression models estimated odds of perceiving racial or ethnic discrimination from insurance type and location of usual source of care. Logistic regression models estimated odds of delaying or forgoing medical care or prescriptions.

PARTICIPANTS

Responses for 39,171 adults aged 18 and over were used.

MAIN MEASURES

Key health care utilization variables were as follows: current insurance coverage, location of usual source of care, delaying or forgoing medical care, and delaying or forgoing prescriptions. We examined if these effects differed by race. Ever experiencing racial or ethnic discrimination in the health care setting functioned as a dependent and independent variable in analyses.

KEY RESULTS

When insurance type and location of care were included in the same model, only the former was associated with perceived discrimination. Specifically, those with Medicaid had 66% higher odds of perceiving discrimination, relative to those with employer-sponsored coverage (AOR = 1.66; 95% CI 1.11, 2.47). Race did not moderate the impact of discrimination. Perceived discrimination was associated with higher odds of delaying or forgoing both prescriptions (AOR = 1.97; 95% CI 1.26, 3.09) and medical care (AOR = 1.84; 95% CI 1.31, 2.59).

CONCLUSIONS

Health care providers have an opportunity to improve the experiences of their patients, particularly those with publicly sponsored coverage.

Racism and health service utilisation: A systematic review and meta-analysis

Although racism has been posited as driver of racial/ethnic inequities in healthcare, the relationship between racism and health service use and experience has yet to be systematically reviewed or meta-analysed. This paper presents a systematic review and meta-analysis of quantitative empirical studies that report associations between self-reported racism and various measures of healthcare service utilisation. Data were reviewed and extracted from 83 papers reporting 70 studies. Studies included 250,850 participants and were conducted predominately in the U.S. The meta-analysis included 59 papers reporting 52 studies, which were analysed using random effects models and mean weighted effect sizes. Racism was associated with more negative patient experiences of health services (HSU-E) (OR = 0.351 (95% CI [0.236,0.521], k = 19), including lower levels of healthcare-related trust, satisfaction, and communication. Racism was not associated with health service use (HSU-U) as an outcome group, and was not associated with most individual HSU-U outcomes, including having had examinations, health service visits and admissions to health professionals and services. Racism was associated with health service use outcomes such as delaying/not getting healthcare, and lack of adherence to treatment uptake, although these effects may be influenced by a small sample of studies, and publication bias, respectively. Limitations to the literature reviewed in terms of study designs, sampling methods and measurements are discussed along with suggested future directions in the field.

'Because I Don't know': uncertainty and ambiguity in closed-ended reports of perceived discrimination in US health care

Objective Surveys often ask respondents to assess discrimination in health care. Yet, patients' responses to one type of widely used measure of discrimination (single-item, personally mediated) tend to reveal prevalence rates lower than observational studies would suggest. This study examines the meaning behind respondents' closed-ended self-reports on this specific type of measure, paying special attention to the frameworks and references used within the medical setting. Design Twenty-nine respondents participated in this study. They were asked the widely used question: 'Within the past 12 months, when seeking health care do you feel your experiences were worse than, the same as, or better than people of other races?' We then conducted qualitative interviews focusing on their chosen response and past experiences. Descriptive analyses focus on both the quantitative and qualitative data, including a comparison of conveyed perceived discrimination according to the different sources of data. Results To identify discrimination, respondents drew upon observations of dynamics in the waiting room or the health providers' communication style. Our respondents were frequently ambivalent and uncertain about how their personal treatment in health care compared to people of other races. When participants were unable to make observable comparisons, they tended to assume equal treatment and report 'same as' in the close-ended reports. Conclusion Respondents' responses to single-item, closed-ended questions may be influenced by characteristics specific to the health care realm. An emphasis on privacy and assumptions about the health care field (both authority and benevolence of providers) may limit opportunities for comparison and result in assumptions of racial parity in treatment.

Associations Between Perceived Race-based Discrimination and Contraceptive Use Among Women Veterans in the ECUUN Study

OBJECTIVE

To describe perceived race-based discrimination in Veterans Affairs (VA) health care settings and assess its associations with contraceptive use among a sample of women Veterans.

METHODOLOGY

This study used data from a national telephone survey of women Veterans aged 18-44 receiving health care in VA who were at risk of unintended pregnancy. Participants were asked about their perceptions of race-based discrimination while seeking VA health care and about their contraceptive use at last heterosexual intercourse. Logistic and multinomial regression analyses were used to examine associations between perceived race-based discrimination with use of prescription contraception.

RESULTS

In our sample of 1341 women Veterans, 7.9% report perceived race-based discrimination when receiving VA care, with blacks and Hispanics reporting higher levels of perceived discrimination than white women (11.3% and 11.2% vs. 4.4%; P<0.001). In logistic and multinomial regression analyses adjusting for race/ethnicity, age, income, marital status, parity, and insurance, women who perceived race-based discrimination were less likely to use any prescription birth control than women who did not (odds ratio, 0.65; 95% confidence interval, 0.42-1.00), with the largest difference seen in rates of intrauterine device or implant use (odds ratio, 0.40; 95% confidence interval, 0.20-0.79).

CONCLUSIONS

In this national sample of women Veterans, over 10% of racial/ethnic minority women perceived race-based discrimination when receiving care in VA settings, and perceived racial/ethnic discrimination was associated with lower likelihood of prescription contraception use, especially intrauterine devices and implants. VA efforts to enhance respectful interactions may not only improve patient health care experiences, but also represent an opportunity to improve reproductive health outcomes for women Veterans.

Military and veteran health behavior research and practice: challenges and opportunities

There are 2.1 million current military servicemembers and 21 million living veterans in the United States. Although they were healthier upon entering military service compared to the general U.S. population, in the longer term veterans tend to be of equivalent or worse health than civilians. One primary explanation for the veterans' health disparity is poorer health behaviors during or after military service, especially areas of physical activity, nutrition, tobacco, and alcohol. In response, the Department of Defense and Department of Veterans Affairs continue to develop, evaluate, and improve health promotion programs and healthcare services for military and veteran health behavior in an integrated approach. Future research and practice is needed to better understand and promote positive health behavior during key transition periods in the military and veteran life course. Also paramount is implementation and evaluation of existing interventions, programs, and policies across the population using an integrated and person centered approach.

Comparing VA and Non-VA Quality of Care: A Systematic Review

BACKGROUND

The Veterans Affairs (VA) health care system aims to provide high-quality medical care to veterans in the USA, but the quality of VA care has recently drawn the concern of Congress. The objective of this study was to systematically review published evidence examining the quality of care provided at VA health care facilities compared to quality of care in other facilities and systems.

METHODS

Building on the search strategy and results of a prior systematic review, we searched MEDLINE (from January 1, 2005, to January 1, 2015) to identify relevant articles on the quality of care at VA facilities compared to non-VA facilities. Articles from the prior systematic review published from 2005 and onward were also included and re-abstracted. Studies were classified, analyzed, and summarized by the Institute of Medicine's quality dimensions.

RESULTS

Sixty-nine articles were identified (including 31 articles from the prior systematic review and 38 new articles) that address one or more Institute of Medicine quality dimensions: safety (34 articles), effectiveness (24 articles), efficiency (9 articles), patient-centeredness (5 articles), equity (4 articles), and timeliness (1 article). Studies of safety and effectiveness indicated generally better or equal performance, with some exceptions. Too few articles related to timeliness, equity, efficiency, and patient-centeredness were found from which to reliably draw conclusions about VA care related to these dimensions.

DISCUSSION

The VA often (but not always) performs better than or similarly to other systems of care with regard to the safety and effectiveness of care. Additional studies of quality of care in the VA are needed on all aspects of quality, but particularly with regard to timeliness, equity, efficiency, and patient-centeredness.

Racism as a Determinant of Health: A Systematic Review and Meta-Analysis

Despite a growing body of epidemiological evidence in recent years documenting the health impacts of racism, the cumulative evidence base has yet to be synthesized in a comprehensive meta-analysis focused specifically on racism as a determinant of health. This meta-analysis reviewed the literature focusing on the relationship between reported racism and mental and physical health outcomes. Data from 293 studies reported in 333 articles published between 1983 and 2013, and conducted predominately in the U.S., were analysed using random effects models and mean weighted effect sizes. Racism was associated with poorer mental health (negative mental health: r = -.23, 95% CI [-.24,-.21], k = 227; positive mental health: r = -.13, 95% CI [-.16,-.10], k = 113), including depression, anxiety, psychological stress and various other outcomes. Racism was also associated with poorer general health (r = -.13 (95% CI [-.18,-.09], k = 30), and poorer physical health (r = -.09, 95% CI [-.12,-.06], k = 50). Moderation effects were found for some outcomes with regard to study and exposure characteristics. Effect sizes of racism on mental health were stronger in cross-sectional compared with longitudinal data and in non-representative samples compared with representative samples. Age, sex, birthplace and education level did not moderate the effects of racism on health. Ethnicity significantly moderated the effect of racism on negative mental health and physical health: the association between racism and negative mental health was significantly stronger for Asian American and Latino(a) American participants compared with African American participants, and the association between racism and physical health was significantly stronger for Latino(a) American participants compared with African American participants. Protocol PROSPERO registration number: CRD42013005464.

Investigating the relationship between ethnic consciousness, racial discrimination and self-rated health in New Zealand

In this study, we examine race/ethnic consciousness and its associations with experiences of racial discrimination and health in New Zealand. Racism is an important determinant of health and cause of ethnic inequities. However, conceptualising the mechanisms by which racism impacts on health requires racism to be contextualised within the broader social environment. Race/ethnic consciousness (how often people think about their race or ethnicity) is understood as part of a broader assessment of the 'racial climate'. Higher race/ethnic consciousness has been demonstrated among non-dominant racial/ethnic groups and linked to adverse health outcomes in a limited number of studies. We analysed data from the 2006/07 New Zealand Health Survey, a national population-based survey of New Zealand adults, to examine the distribution of ethnic consciousness by ethnicity, and its association with individual experiences of racial discrimination and self-rated health. Findings showed that European respondents were least likely to report thinking about their ethnicity, with people from non-European ethnic groupings all reporting relatively higher ethnic consciousness. Higher ethnic consciousness was associated with an increased likelihood of reporting experience of racial discrimination for all ethnic groupings and was also associated with fair/poor self-rated health after adjusting for age, sex and ethnicity. However, this difference in health was no longer evident after further adjustment for socioeconomic position and individual experience of racial discrimination. Our study suggests different experiences of racialised social environments by ethnicity in New Zealand and that, at an individual level, ethnic consciousness is related to experiences of racial discrimination. However, the relationship with health is less clear and needs further investigation with research to better understand the racialised social relations that create and maintain ethnic inequities in health in attempts to better address the impacts of racism on health.

The state of research on racial/ethnic discrimination in the receipt of health care

OBJECTIVES

We conducted a review to examine current literature on the effects of interpersonal and institutional racism and discrimination occurring within health care settings on the health care received by racial/ethnic minority patients.

METHODS

We searched the PsychNet, PubMed, and Scopus databases for articles on US populations published between January 1, 2008 and November 1, 2011. We used various combinations of the following search terms: discrimination, perceived discrimination, race, ethnicity, racism, institutional racism, stereotype, prejudice or bias, and health or health care. Fifty-eight articles were reviewed.

RESULTS

Patient perception of discriminatory treatment and implicit provider biases were the most frequently examined topics in health care settings. Few studies examined the overall prevalence of racial/ethnic discrimination and none examined temporal trends. In general, measures used were insufficient for examining the impact of interpersonal discrimination or institutional racism within health care settings on racial/ethnic disparities in health care.

CONCLUSIONS

Better instrumentation, innovative methodology, and strategies are needed for identifying and tracking racial/ethnic discrimination in health care settings.

Associations between health-related quality of life and financial barriers to care among women veterans and women non-veterans

The authors of this study examined the association between health-related quality of life and financial barriers to care, defined as not getting the needed care due to cost considerations. To better understand health-related quality of life among women veterans, the authors compared women veterans to women non-veterans. The authors conducted cross-sectional analyses using data from the 2009 Behavioral Risk Factor Surveillance System survey. The authors assessed four health-related quality of life measures: (1) general health; (2) physical health; (3) mental health; and (4) functional status. The authors performed multinomial logistic regressions to examine the relationship between financial barriers to receiving healthcare and health-related quality of life measures after controlling for other independent variables. The authors included women veterans not in active military duty (N = 3,747) and a matched sample of women non-veterans (N = 3,747), selected using a propensity score method so that they would have distributions of demographic and socioeconomic characteristics similar to those of the veterans. Overall, 14% of women reported financial barriers. Women who reported financial barriers to receiving healthcare were more likely to have poor health-related quality of life in all four dimensions than those who did not report such barriers. Compared to women non-veterans, women veterans did not differ in reported financial barriers but were more likely to report poor health-related quality of life. Reporting financial barriers to receiving needed healthcare was significantly associated with poor health-related quality of life among women. Veteran status was also significantly associated with poor health-related quality of life. These findings suggest the need for healthcare policy makers and practitioners to align emerging new models of healthcare delivery to improve health-related quality of life for women veterans.