Perceptions of race/ethnicity-based discrimination: a review of measures and evaluation of their usefulness for the health care setting

What can parents do? Examining the role of parental support on the negative relationship between racial discrimination, depression, and drug use among African American youth

African American youth who experience racial discrimination are at heightened risk to use drugs as a coping response to distress. Based on the buffer-stress hypothesis, we proposed that parental support would attenuate this effect. Participants were 1,521 African American youth between 4^th and 12^th grade. As hypothesized, a mediation pathway was observed between racial discrimination, depression symptoms, and drug use. This effect was observed for both genders, although the pathway was partially mediated for males. Additionally, as hypothesized, parental support buffered the negative effect of depression symptomatology on drug use as a consequence of discrimination. Our findings highlight the impact racial discrimination has on health outcomes for African American youth and the importance of managing youth's emotional responses to discrimination. Moreover, findings illuminate the protective role of supportive parenting within the risk model and should thus be considered as an important component within prevention programming for this population of youth.

[Validity of the Experiences of Discrimination scale in a Brazilian population]

One of the most widely used tools in epidemiological research on discrimination is the Experiences of Discrimination (EOD) scale, used but not validated in Brazil. The objective was to assess the reliability and dimensional structure of the EOD scale in a Brazilian population. A cross-sectional study was performed with 1,380 adults in the city of Salvador, Bahia State, Brazil. Confirmatory factor analysis (CFA) was performed testing a two-factor model: experiences of discrimination and concerned about discrimination. The results of CFA showed satisfactory fit, high factor loads, and adequate reliability, confirming the scale's internal consistency. Residual correlations were identified involving items from both factors. The dimensional structure presented in this study highlights the importance of using different measures of discrimination (interpersonal and group) to allow more in-depth future research on the effects of racism on health.

Assessing the Everyday Discrimination Scale among American Indians and Alaska Natives

The Everyday Discrimination Scale (EDS) has been used widely as a measure of subjective experiences of discrimination. The usefulness of this measure for assessments of perceived experiences of discrimination by American Indian and Alaska Native (AI/AN) peoples has not been explored. Data derived from the Special Diabetes Program for Indians--Healthy Heart Demonstration Project (SDPI-HH), a large-scale initiative to reduce cardiovascular risk among AI/ANs with Type 2 diabetes. Participants (N = 3,039) completed a self-report survey that included the EDS and measures of convergent and divergent validity. Missing data were estimated by multiple imputation techniques. Reliability estimates for the EDS were calculated, yielding a single factor with high internal consistency (α = .92). Younger, more educated respondents reported greater perceived discrimination; retired or widowed respondents reported less. Convergent validity was evidenced by levels of distress, anger, and hostility, which increased as the level of perceived discrimination increased (all p < .001). Divergent validity was evidenced by the absence of an association between EDS and resilient coping. Resilient coping and insulin-specific diabetes knowledge were not significantly associated with perceived discrimination (p = .61 and 0.16, respectively). However, general diabetes-related health knowledge was significantly associated with perceived discrimination (p = .02). The EDS is a promising measure for assessing perceived experiences of discrimination among those AI/ANs who participated in the SDPI-HH.

Obesity and discrimination - a systematic review and meta-analysis of observational studies

BACKGROUND

Research on obesity has shown that stigma often accompanies obesity and impacts many life domains. No previous research has systematically reviewed published literature about the prevalence and the nature of perceived weight discrimination in individuals with obesity. This systematic review and meta-analysis aims to fill that gap.

METHODS

A systematic literature search was conducted without time limits using the databases Medline, ISI Web of Knowledge and the Cochrane Library. Meta-analyses were performed using random effect models. Observational studies pertaining to (i) prevalence estimates and (ii) forms of perceived weight discrimination among individuals with obesity were included.

RESULTS

Of 4393 citations retrieved, nine citations retrieved, nine studies met inclusion criteria. Pooled prevalence was 19.2% (95% confidence interval (CI) 11.7 to 29.8%) for individuals with class I obesity (Body mass index [BMI] = 30-35 kg m(-2) ) and 41.8% (95% CI 36.9 to 46.9%) for individuals with more extreme obesity (BMI > 35 kg m(-2) ). Findings from nationally representative US samples revealed higher prevalence estimates in individuals with higher BMI values (BMI > 35 kg m(-2) ) and in women.

CONCLUSIONS

The results provide evidence that perceptions of weight discrimination by individuals with obesity were common, and its negative consequences are highly relevant issues within society and need to be the focus of potential interventions. © 2015 World Obesity.

Reports of insurance-based discrimination in health care and its association with access to care

OBJECTIVES

We examined reports of insurance-based discrimination and its association with insurance type and access to care in the early years of the Patient Protection and Affordable Care Act.

METHODS

We used data from the 2013 Minnesota Health Access Survey to identify 4123 Minnesota adults aged 18 to 64 years who reported about their experiences of insurance-based discrimination. We modeled the association between discrimination and insurance type and predicted odds of having reduced access to care among those reporting discrimination, controlling for sociodemographic factors. Data were weighted to represent the state's population.

RESULTS

Reports of insurance-based discrimination were higher among uninsured (25%) and publicly insured (21%) adults than among privately insured adults (3%), which held in the regression analysis. Those reporting discrimination had higher odds of lacking a usual source of care, lacking confidence in getting care, forgoing care because of cost, and experiencing provider-level barriers than those who did not.

CONCLUSIONS

Further research and policy interventions are needed to address insurance-based discrimination in health care settings.

Correlates of lifestyle: physical activity among South Asian Indian immigrants

South Asian immigrants are at increased risk for cardiovascular disease and diabetes, but little is known about their physical activity patterns. In this cross-sectional study, 110 participants were recruited to describe lifestyle physical activity behavior of this at-risk population. Education (p = .042), global health (p = .045), and self-efficacy (p = .000) had significant positive independent effects on leisure-time physical activity. Depression (p = .035) and waist circumference (p = .012) had significant negative independent effects, and frequency of experiencing discrimination a significant positive independent effect (p = .007) on daily step counts. Culture-sensitive physical activity interventions need to target South Asian Indian immigrants who are less educated, in poor health, concerned about racial discrimination, and have low self-efficacy.

Propensity score matching to measure the effect of survey mode on reports of racial and ethnic discrimination in health care

OBJECTIVE

To examine the effect of survey mode (mail vs. telephone) on the likelihood of reporting health care-related discrimination based on race, ethnicity, or nationality.

METHODS

We use data from a mixed-mode, mail and telephone survey of public health care program enrollees (N=2807), including Somali, Hmong, African American, American Indian, and Latino populations. Self-reported discrimination was measured as the experience of unfair treatment by health care providers due to race, ethnicity, or nationality. We use propensity score matching to create exchangeable groups of phone and mail respondents based on the probability of completing the survey by phone.

RESULTS

Overall, 33.1% of respondents reported having experienced discrimination in health care, but only 23.6% of telephone respondents reported discrimination compared with 36.8% of mail respondents. After matching phone and mail respondents based on probability of responding by telephone, all observable significant differences between respondents that were brought about by differential self-selection into mode were erased, allowing us to estimate the effect of survey mode on report of discrimination. Even after matching, the mode effect remains, where report of health care discrimination for telephone respondents would have been 12.6 percentage points higher had they responded by mail (22.6% vs. 35.2%).

CONCLUSIONS

Survey mode has a significant effect on report of discrimination. Respondents may be more willing to disclose experiences of discrimination in a mail survey than to a telephone interviewer. Findings have substantial policy and clinical significance as variation in report of discrimination based on mode may lead to underestimation of the extent of the problem.

Instruments measuring perceived racism/racial discrimination: review and critique of factor analytic techniques

Several compendiums of instruments that measure perceived racism and/or discrimination are present in the literature. Other works have reviewed the psychometric properties of these instruments in terms of validity and reliability and have indicated if the instrument was factor analyzed. However, little attention has been given to the quality of the factor analysis performed. The aim of this study was to evaluate the exploratory factor analyses done on instruments measuring perceived racism/racial discrimination using guidelines from experts in psychometric theory. The techniques used for factor analysis were reviewed and critiqued and the adequacy of reporting was evaluated. Internet search engines and four electronic abstract databases were used to identify 16 relevant instruments that met the inclusion/exclusion criteria. Principal component analysis was the most frequent method of extraction (81%). Sample sizes were adequate for factor analysis in 81 percent of studies. The majority of studies reported appropriate criteria for the acceptance of un-rotated factors (81%) and justified the rotation method (75%). Exactly 94 percent of studies reported partially acceptable criteria for the acceptance of rotated factors. The majority of articles (69%) reported adequate coefficient alphas for the resultant subscales. In 81 percent of the studies, the conceptualized dimensions were supported by factor analysis.

Race, ethnicity, and socioeconomic status in research on child health

An extensive literature documents the existence of pervasive and persistent child health, development, and health care disparities by race, ethnicity, and socioeconomic status (SES). Disparities experienced during childhood can result in a wide variety of health and health care outcomes, including adult morbidity and mortality, indicating that it is crucial to examine the influence of disparities across the life course. Studies often collect data on the race, ethnicity, and SES of research participants to be used as covariates or explanatory factors. In the past, these variables have often been assumed to exert their effects through individual or genetically determined biologic mechanisms. However, it is now widely accepted that these variables have important social dimensions that influence health. SES, a multidimensional construct, interacts with and confounds analyses of race and ethnicity. Because SES, race, and ethnicity are often difficult to measure accurately, leading to the potential for misattribution of causality, thoughtful consideration should be given to appropriate measurement, analysis, and interpretation of such factors. Scientists who study child and adolescent health and development should understand the multiple measures used to assess race, ethnicity, and SES, including their validity and shortcomings and potential confounding of race and ethnicity with SES. The American Academy of Pediatrics (AAP) recommends that research on eliminating health and health care disparities related to race, ethnicity, and SES be a priority. Data on race, ethnicity, and SES should be collected in research on child health to improve their definitions and increase understanding of how these factors and their complex interrelationships affect child health. Furthermore, the AAP believes that researchers should consider both biological and social mechanisms of action of race, ethnicity, and SES as they relate to the aims and hypothesis of the specific area of investigation. It is important to measure these variables, but it is not sufficient to use these variables alone as explanatory for differences in disease, morbidity, and outcomes without attention to the social and biologic influences they have on health throughout the life course. The AAP recommends more research, both in the United States and internationally, on measures of race, ethnicity, and SES and how these complex constructs affect health care and health outcomes throughout the life course.

Discrimination and Health Inequities

In 1999, only 20 studies in the public health literature employed instruments to measure self-reported experiences of discrimination. Fifteen years later, the number of empirical investigations on discrimination and health easily exceeds 500, with these studies increasingly global in scope and focused on major types of discrimination variously involving race/ethnicity, indigenous status, immigrant status, gender, sexuality, disability, and age, separately and in combination. And yet, as I also document, even as the number of investigations has dramatically expanded, the scope remains narrow: studies remain focused primarily on interpersonal discrimination, and scant research investigates the health impacts of structural discrimination, a gap consonant with the limited epidemiologic research on political systems and population health. Accordingly, to help advance the state of the field, this updated review article: ( a) briefly reviews definitions of discrimination, illustrated with examples from the United States; ( b) discusses theoretical insights useful for conceptualizing how discrimination can become embodied and produce health inequities, including via distortion of scientific knowledge; ( c) concisely summarizes extant evidence—both robust and inconsistent—linking discrimination and health; and ( d) addresses several key methodological controversies and challenges, including the need for careful attention to domains, pathways, level, and spatiotemporal scale, in historical context.

Perceived racial discrimination in health care, completion of standard diabetes services, and diabetes control among a sample of American Indian women

PURPOSE

The purpose of this study is to examine perceived experiences of racial discrimination (perceived discrimination) in health care and its associations with completing standards of care for diabetes management and diabetes control.

METHODS

This cross-sectional study included 200 adult American Indian (AI) women with type 2 diabetes from 4 health care facilities located on tribal reservations in the Pacific Northwest. Participants completed a survey, and medical records were abstracted. Logistic regression was completed to assess associations.

RESULTS

Sixty-seven percent of AI women reported discrimination during their lifetime of health care. After adjusting for patient characteristics, perceived discrimination was significantly associated with lower rates of dental exam; checks for blood pressure, creatinine, and total cholesterol; and pneumococcal vaccination. The association between perceived discrimination and total number of diabetes services completed was not statistically significant. Perceived discrimination was associated with having A1C values above target levels for diabetes control in unadjusted and adjusted models, but no association was observed for blood pressure or total cholesterol.

CONCLUSIONS

In our sample of AI women with diabetes, two-thirds reported experiencing racial discrimination in their health care experience. Those reporting perceived discrimination completed fewer diabetes services and therefore may be at increased risk for comorbidities of diabetes. This finding supports the continued need for culturally responsive health care and programs of diabetes education to recognize perceived discrimination and its potential to impact success in self-management and services utilization.

"You learn to go last": perceptions of prenatal care experiences among African-American women with limited incomes

African American infants die at higher rates and are at greater risk of adverse birth outcomes than White infants in Milwaukee. Though self-reported experiences of racism have been linked to adverse health outcomes, limited research exists on the impact of racism on women's prenatal care experiences. The purpose of this study was to examine the experiences of racial discrimination during prenatal care from the perspectives of African American women in a low income Milwaukee neighborhood. Transcripts from six focus groups with twenty-nine women and two individual interviews were analyzed to identify important emergent themes. Validity was maintained using an audit trail, peer debriefing, and two individual member validation sessions. Participants identified three areas of perceived discrimination based on: (1) insurance or income status, (2) race, and (3) lifetime experiences of racial discrimination. Women described being treated differently by support staff and providers based on type of insurance (public versus private), including perceiving a lower quality of care at clinics that accepted public insurance. While some described personally-mediated racism, the majority of women described experiences that fit within a definition of institutionalized racism-in which the system was designed in a way that worked against their attempts to get quality prenatal care. Women also described lifetime experiences of racial discrimination. Our findings suggest that African American women with limited incomes perceive many provider practices and personal interactions during prenatal care as discriminatory. Future studies could explore the relationship between perceptions of discrimination and utilization of prenatal care.

Discrimination based on criminal record and healthcare utilization among men recently released from prison: a descriptive study

BACKGROUND

Healthcare discrimination based on race/ethnicity is associated with decreased healthcare access and utilization among racial/ethnic minority patients. Discrimination based on criminal record may also negatively impact healthcare access and utilization among ex-prisoners.

METHODS

We conducted a secondary analysis of data from a cross-sectional survey of 172 men recently released from state prison. We examined the association between self-reported criminal record discrimination by healthcare workers and utilization of 1) emergency department (ED) and 2) primary care services. We created staged logistic regression models, adjusting for sociodemographic characteristics and self-reported racial/ethnic discrimination.

RESULTS

Among 172 male participants, 42% reported a history of criminal record discrimination by healthcare workers. Participants who reported discrimination were older (mean, 42 vs. 39 years; p = .01), more likely to be college educated (26% vs. 11%; p = .03), and had more extensive incarceration histories (median years incarcerated, 16 vs. 9; p = .002) compared to those who did not report discrimination. Self-reported criminal record discrimination by healthcare workers was significantly associated with frequent ED utilization [odds ratio (OR) = 2.7, 95% confidence interval 24 (CI) 1.2-6.2] but not infrequent primary care utilization [OR = 1.6, 95% CI 0.7-3.8].

CONCLUSIONS

Recently released prisoners report criminal record discrimination by healthcare workers, and this experience may impact healthcare utilization. Future studies should seek to further characterize criminal record discrimination by healthcare workers and prospectively examine its impact on health outcomes.

A systematic review of the extent and measurement of healthcare provider racism

BACKGROUND

Although considered a key driver of racial disparities in healthcare, relatively little is known about the extent of interpersonal racism perpetrated by healthcare providers, nor is there a good understanding of how best to measure such racism.

OBJECTIVES

This paper reviews worldwide evidence (from 1995 onwards) for racism among healthcare providers; as well as comparing existing measurement approaches to emerging best practice, it focuses on the assessment of interpersonal racism, rather than internalized or systemic/institutional racism.

METHODS

The following databases and electronic journal collections were searched for articles published between 1995 and 2012: Medline, CINAHL, PsycInfo, Sociological Abstracts. Included studies were published empirical studies of any design measuring and/or reporting on healthcare provider racism in the English language. Data on study design and objectives; method of measurement, constructs measured, type of tool; study population and healthcare setting; country and language of study; and study outcomes were extracted from each study.

RESULTS

The 37 studies included in this review were almost solely conducted in the U.S. and with physicians. Statistically significant evidence of racist beliefs, emotions or practices among healthcare providers in relation to minority groups was evident in 26 of these studies. Although a number of measurement approaches were utilized, a limited range of constructs was assessed.

CONCLUSION

Despite burgeoning interest in racism as a contributor to racial disparities in healthcare, we still know little about the extent of healthcare provider racism or how best to measure it. Studies using more sophisticated approaches to assess healthcare provider racism are required to inform interventions aimed at reducing racial disparities in health.

Racial and gender discrimination, early life factors, and chronic physical health conditions in midlife

PURPOSE

Most studies of perceived discrimination have been cross-sectional and focused primarily on mental rather than physical health conditions. We examined the associations of perceived racial and gender discrimination reported in adulthood with early life factors and self-reported physician diagnosis of chronic physical health conditions.

METHODS

We used data from a racially diverse birth cohort of U.S. women (n = 168; average age, 41 years) with prospectively collected early life data (e.g., parental socioeconomic factors) and adult reported data on perceived discrimination, physical health conditions, and relevant risk factors. We performed modified robust Poisson regression owing to the high prevalence of the outcomes.

RESULTS

Fifty percent of participants reported racial and 39% reported gender discrimination. Early life factors did not have strong associations with perceived discrimination. In adjusted regression models, participants reporting at least three experiences of gender or racial discrimination had a 38% increased risk of having at least one physical health condition (relative risk, 1.38; 95% confidence interval, 1.01-1.87). Using standardized regression coefficients, the magnitude of the association of having physical health condition(s) was larger for perceived discrimination than for being overweight or obese.

CONCLUSION

Our results suggest a substantial chronic disease burden associated with perceived discrimination, which may exceed the impact of established risk factors for poor physical health.

An Examination of Factors Associated with Healthcare Discrimination in Latina Immigrants: The Role of Healthcare Relationships and Language

ACKNOWLEDGEMENT

The authors are grateful to all of the women who took time to participate in the study, Dr. Elmer Huerta and members of the Latin American Cancer Research Coalition. Funding for these activities were supported, in part, by ACS grants MRSGT-06-132-01-CPPB (VBS), Herbert W. Nickens, M.D., Junior Faculty Achievement Award, AAMC (VBS), and MRSGT-05-104-01-CPPB (JW), National Cancer Institute grants UO1 CA86114 (EH, JM), U01-CA114593 (JM), and KO5 CA96940 (JM).

BACKGROUND

Understanding factors that are associated with perceived discrimination in Latina immigrants may provide opportunities to improve care for this growing population.

OBJECTIVE

To examine the prevalence of discrimination experiences in urban Latina immigrants and identify socio-cultural and healthcare factors that predict discrimination experiences.

DESIGN

Cross-sectional survey of 166 Latina immigrants.

MEASUREMENTS

Socio-cultural: region of origin, primary language, and education. Healthcare factors: insurance, place of care, patient-provider communication, trust in provider, and satisfaction with care. Multivariable logistic regression was used to examine factors that predicted discrimination.

RESULTS

42% had at least one discrimination experience. Communication with providers was the factor most strongly associated with reporting having a discrimination experience while controlling for other variables (p < 01). Women with good communication with their provider were 71% less likely to report discrimination.

CONCLUSION

Better communication with providers may reduce Latinas' perceptions of discrimination and thereby improve healthcare access and use of services.

Association between perceived health care stigmatization and BMI change

BACKGROUND/AIMS

This study examined the association between experiences of health care stigmatization and BMI changes in men and women with normal weight and obesity in Sweden.

METHODS

The participants were drawn from a population-based survey in Sweden (1996-2006), and data on their perceived health care stigmatization were measured in 2008. They were categorized in individuals with normal weight (n = 1,064), moderate obesity (n = 1,273), and severe obesity (n = 291). The main outcome measure was change in BMI.

RESULTS

Individuals with severe obesity experiencing any health care stigmatization showed a BMI increase by 1.5 kg/m2 more than individuals with severe obesity with no such experience. For individuals with moderate obesity, insulting treatment by a physician and avoidance of health care were associated with a relative BMI increase of 0.40 and 0.75 kg/m2, respectively, compared with their counterparts who did not experience stigmatization in these areas. No difference in experience of any form of health care stigmatizing associated BMI change was observed for men and women with normal weight.

CONCLUSION

In this large, population-based study, perceived health care stigmatization was associated with an increased relative BMI in individuals with severe obesity. For moderate obesity, the evidence of an association was inconclusive.

Perceived discrimination is associated with reduced breast and cervical cancer screening: the Study of Women's Health Across the Nation (SWAN)

BACKGROUND

Racial disparities in breast and cervical cancer screening have been documented in African American, Hispanic, and Asian populations. Perceived discrimination may contribute to this disparity. The aim of this study was to understand the relationship between perceived everyday racial/ethnic and other discrimination and receipt of breast and cervical cancer screening in a multiethnic population of women.

METHODS

We analyzed data from 3,258 women participating in the Study of Women's Health Across the Nation (SWAN), a multiethnic/racial, longitudinal cohort study of the natural history of the menopausal transition conducted at seven U.S. sites. Participants completed a validated measure of perceived discrimination and reasons for believing that they were treated differently, along with Pap smears, clinical breast exams (CBE), and mammography at each follow-up period. We used multiple logistic regression for the binary outcomes of having a Pap smear, CBE, or mammogram in each of the two follow-up years, using self-reported "race discrimination" and "other discrimination" at baseline as the main predictors.

RESULTS

African American women reported the highest percentage of racial discrimination (35%), followed by Chinese (20%), Hispanic (12%), Japanese (11%), and non-Hispanic white women (3%). Non-Hispanic white women reported the highest percentage of "other" discrimination (40%), followed by Chinese (33%), African American (24%), Japanese (23%), and Hispanic women (16%). Perceived racial discrimination was not associated with reduced receipt of preventive screening, except in one fully adjusted model. Reported discrimination owing to "other" reasons, such as age or gender, was associated with reduced receipt of Pap smear (odds ratio [OR] 0.85; 95% confidence interval [CI] 0.74-0.99), CBE (OR 0.78; 95% CI 0.67-0.91), and mammography (OR 0.80; 95% CI 0.69-0.92) regardless of patient race.

CONCLUSIONS

Perceived discrimination is an important issue across racial/ethnic groups and is negatively associated with receipt of breast and cervical cancer screening. This is an important issue that needs to be further explored and addressed in efforts to improve the delivery of healthcare to all groups.

Shedding Light on the Mechanisms Underlying Health Disparities Through Community Participatory Methods: The Stress Pathway

Health disparities are large and persistent gaps in the rates of disease and death between racial/ethnic and socioeconomic status subgroups in the population. Stress is a major pathway hypothesized to explain such disparities. The Eunice Kennedy Shriver National Institute of Child Health and Human Development formed a community/research collaborative-the Community Child Health Network-to investigate disparities in maternal and child health in five high-risk communities. Using community participation methods, we enrolled a large cohort of African American/Black, Latino/Hispanic, and non-Hispanic/White mothers and fathers of newborns at the time of birth and followed them over 2 years. A majority had household incomes near or below the federal poverty level. Home interviews yielded detailed information regarding multiple types of stress such as major life events and many forms of chronic stress including racism. Several forms of stress varied markedly by racial/ethnic group and income, with decreasing stress as income increased among Caucasians but not among African Americans; other forms of stress varied by race/ethnicity or poverty alone. We conclude that greater sophistication in studying the many forms of stress and community partnership is necessary to uncover the mechanisms underlying health disparities in poor and ethnic-minority families and to implement community health interventions.

Comparing measures of racial/ethnic discrimination, coping, and associations with health-related outcomes in a diverse sample

Discrimination is detrimental to health behaviors and outcomes, but little is known about which measures of discrimination are most strongly related to health, if relationships with health outcomes vary by race/ethnicity, and if coping responses moderate these associations. To explore these issues, the current study assessed race/ethnic differences in five measures of race/ethnic discrimination, as well as emotional and behavioral coping responses, within a population-based sample of Whites, African Americans, Mexicans, and Puerto Ricans (n = 1,699). Stratified adjusted logistic regression models were run to examine associations between the discrimination measures and mental, physical, and health behavior outcomes and to test the role of coping. Overall, 86 % of the sample reported discrimination. Puerto Ricans were more likely than Mexicans and Whites to report most types of discrimination but less likely than Blacks. Discrimination was most strongly related to depression and was less consistently (or not) associated with physical health and health behaviors. Differences by measure of discrimination and respondent race/ethnicity were apparent. No support was found to suggest that coping responses moderate the association between discrimination and health. More work is needed to understand the health effects of this widespread social problem. In addition, interventions attempting to reduce health disparities need to take into account the influence of discrimination.

Socially-assigned race, healthcare discrimination and preventive healthcare services

BACKGROUND

Race and ethnicity, typically defined as how individuals self-identify, are complex social constructs. Self-identified racial/ethnic minorities are less likely to receive preventive care and more likely to report healthcare discrimination than self-identified non-Hispanic whites. However, beyond self-identification, these outcomes may vary depending on whether racial/ethnic minorities are perceived by others as being minority or white; this perception is referred to as socially-assigned race.

PURPOSE

To examine the associations between socially-assigned race and healthcare discrimination and receipt of selected preventive services.

METHODS

Cross-sectional analysis of the 2004 Behavioral Risk Factor Surveillance System "Reactions to Race" module. Respondents from seven states and the District of Columbia were categorized into 3 groups, defined by a composite of self-identified race/socially-assigned race: Minority/Minority (M/M, n = 6,837), Minority/White (M/W, n = 929), and White/White (W/W, n = 25,913). Respondents were 18 years or older, with 61.7% under age 60; 51.8% of respondents were female. Measures included reported healthcare discrimination and receipt of vaccinations and cancer screenings.

RESULTS

Racial/ethnic minorities who reported being socially-assigned as minority (M/M) were more likely to report healthcare discrimination compared with those who reported being socially-assigned as white (M/W) (8.9% vs. 5.0%, p = 0.002). Those reporting being socially-assigned as white (M/W and W/W) had similar rates for past-year influenza (73.1% vs. 74.3%) and pneumococcal (69.3% vs. 58.6%) vaccinations; however, rates were significantly lower among M/M respondents (56.2% and 47.6%, respectively, p-values<0.05). There were no significant differences between the M/M and M/W groups in the receipt of cancer screenings.

CONCLUSIONS

Racial/ethnic minorities who reported being socially-assigned as white are more likely to receive preventive vaccinations and less likely to report healthcare discrimination compared with those who are socially-assigned as minority. Socially-assigned race/ethnicity is emerging as an important area for further research in understanding how race/ethnicity influences health outcomes.

Race/Ethnicity and self-reported levels of discrimination and psychological distress, California, 2005

Introduction

Little is known about the relationship between discrimination and distress among multiple racial groups because previous studies have focused primarily on either blacks or Asian Americans. The objective of this study was to assess the association between self-reported experiences of racial discrimination and symptoms of psychological distress among 5 racial/ethnic groups in California.

Methods

I used data from the 2005 California Health Interview Survey describing an adult sample of 27,511 non-Hispanic whites, 8,020 Hispanics, 1,813 non-Hispanic blacks, 3,875 non-Hispanic Asians, and 1,660 people of other races/ethnicities. The Kessler 6-item Psychological Distress Scale determined symptoms of psychological distress. I used a single-item, self-reported measure to ascertain experiences of racial discrimination.

Results

Reports of racial discrimination differed significantly among racial groups. Self-reported discrimination was independently associated with psychological distress after adjusting for race/ethnicity, age, sex, education level, employment status, general health status, nativity and citizenship status, English use and proficiency, ability to understand the doctor at last visit, and geographic location. The relationship between discrimination and psychological distress was modified by the interaction between discrimination and race/ethnicity; the effect of discrimination on distress was weaker for minority groups (ie, blacks and people of other races/ethnicities) than for whites.

Conclusion

Self-reported discrimination may be a key predictor of high levels of psychological distress among racial/ethnic groups in California, and race appears to modify this association. Public health practitioners should consider the adverse effects of racial discrimination on minority health.

Relationships between discrimination in health care and health care outcomes among four race/ethnic groups

Discrimination has been found to be detrimental to health, but less is known about the influence of discrimination in health care. To address this, the current study (1) compared levels of racial/ethnic discrimination in health care among four race/ethnic groups; (2) determined associations between this type of discrimination and health care outcomes; and (3) assessed potential mediators and moderators as suggested by previous studies. Multivariate logistic regression models were used within a population-based sample of 1,699 White, African American, Mexican, and Puerto Rican respondents. Overall, 23% of the sample reported discrimination in health care, with levels varying substantially by race/ethnicity. In adjusted models, this type of discrimination was associated with an increased likelihood of having unmet health care needs (OR = 2.48, CI = 1.57-3.90) and lower odds of perceiving excellent quality of care (OR = 0.43, CI = 0.28-0.66), but not with the use of a physician when not sick or use of alternative medicine. The mediating role of mental health factors was inconsistently observed and the relationships were not moderated by race/ethnicity. These findings expand the literature and provide preliminary evidence that can eventually inform the development of interventions and the training of health care providers.

Perceived experiences of discrimination in health care: a barrier for cancer screening among American Indian women with type 2 diabetes

PURPOSE

Breast and cervical cancer-mortality disparities are prominent among American Indian women. These disparities, in part, may result from patients perceived experiences of discrimination in health care. This report evaluates the impact of perceived discrimination on screening for breast and cervical cancer in a sample of 200 American Indian women with type 2 diabetes.

METHODS

Data were collected from patient report and medical records. Prevalence of breast and cervical cancer screening were assessed. Unadjusted and adjusted logistic regression analyses were used to assess associations between perceived discrimination, cancer screening status, and patients' health care-seeking behaviors.

FINDINGS

Substantial proportions of AI women in our sample were behind the recommended schedules of screening for breast and cervical cancer. Adjusted estimates revealed that perceived discrimination was significantly associated with not being current for clinical breast examination and Pap test, and was close to statistical significance with not being current for mammography. The number of suboptimal health care-seeking behaviors increased with higher mean levels of perceived discrimination.

CONCLUSIONS

Among AI women, perceived discrimination in health care may negatively influence use of breast and cancer screening services, and health care-seeking behaviors. More research is needed among AIs to examine features of health care systems related to the phenomenon patients perceived experience of discrimination.

Who experiences discrimination in Brazil? Evidence from a large metropolitan region

Introduction

Perceived discrimination is related to poor health and has been offered as one explanation for the persistence of health inequalities in some societies. In this study, we explore the prevalence and correlates of perceived discrimination in a large, multiracial Brazilian metropolitan area.

Methods

The study uses secondary analysis of a regionally representative household survey conducted in 2010 (n=12,213). Bivariate analyses and multiple logistic regression assess the magnitude and statistical significance of covariates associated with reports of any discrimination and with discrimination in specific settings, including when seeking healthcare services, in the work environment, in the family, in social occasions among friends or in public places, or in other situations.

Results

Nearly 9% of the sample reported some type of discrimination. In multivariable models, reports of any discrimination were higher among people who identify as black versus white (OR 1.91), higher (OR 1.21) among women than men, higher (OR 1.33) among people in their 30’s and lower (OR 0.63) among older individuals. People with many health problems (OR 4.97) were more likely to report discrimination than those with few health problems. Subjective social status (OR 1.23) and low social trust (OR 1.27) were additional associated factors. Perceived discrimination experienced while seeking healthcare differed from all other types of discrimination, in that it was not associated with skin color, social status or trust, but was associated with sex, poverty, and poor health.

Conclusions

There appear to be multiple factors associated with perceived discrimination in this population that may affect health. Policies and programs aimed at reducing discrimination in Brazil will likely need to address this wider set of interrelated risk factors across different populations.

Development and Validation of the Prolonged Activation and Anticipatory Race-Related Stress Scale

This article describes two separate studies that were conducted to develop and validate a measure of the prolonged stress activation and anticipatory race-related stress response in African American adults (Prolonged Activation and Anticipatory Race-Related Stress Scale [PARS]). In Study 1, an exploratory factor analytic procedure ( N = 292) resulted in a17-item measure with four underlying factors: (a) Perseverative Cognition, (b) Secondary Appraisal, (c) Anticipatory Race-Related Stress Scale–Psychological, and (d) Anticipatory Race-Related Stress Scale–Physiological. In Study 2 ( N = 227), a confirmatory factor analytic procedure was conducted to evaluate and compare the underlying factor structure for several competing models of the PARS. This procedure supported a four-factor oblique solution as having the best fit to the data. Study 2 also provided evidence for the convergent validity of the PARS in that its factor scores correlated, in the anticipated direction, with scores on measures of related constructs.

Theory-guided selection of discrimination measures for racial/ ethnic health disparities research among older adults

OBJECTIVE

Discrimination may contribute to health disparities among older adults. Existing measures of perceived discrimination have provided important insights but may have limitations when used in studies of older adults. This article illustrates the process of assessing the appropriateness of existing measures for theory-based research on perceived discrimination and health.

METHOD

First, we describe three theoretical frameworks that are relevant to the study of perceived discrimination and health-stress-process models, life course models, and the Public Health Critical Race (PHCR) praxis. We then review four widely-used measures of discrimination, comparing their content and describing how well they address key aspects of each framework, and discussing potential areas of modification.

DISCUSSION

Using theory to guide measure selection can help improve understanding of how perceived discrimination may contribute to racial/ethnic health disparities among older adults.

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.

Methods for the scientific study of discrimination and health: an ecosocial approach

The scientific study of how discrimination harms health requires theoretically grounded methods. At issue is how discrimination, as one form of societal injustice, becomes embodied inequality and is manifested as health inequities. As clarified by ecosocial theory, methods must address the lived realities of discrimination as an exploitative and oppressive societal phenomenon operating at multiple levels and involving myriad pathways across both the life course and historical generations. An integrated embodied research approach hence must consider (1) the structural level-past and present de jure and de facto discrimination; (2) the individual level-issues of domains, nativity, and use of both explicit and implicit discrimination measures; and (3) how current research methods likely underestimate the impact of racism on health.

Impact of Racial Macro- and Microaggressions in Black Women’s Lives

Most studies on perceived racial discrimination do not differentiate between macroaggressions (i.e., overt, purposeful discrimination) and microaggressions (i.e., subtle, typically unconscious discrimination) or examine gender. This study addresses these gaps by exploring: (a) the prevalence of perceived racial macroaggressions (PRMa) and perceived racial microaggressions (PRMi) in Black women’s lives and (b) how PRMa and PRMi influence depressive and anxious symptoms in this group. Participants were 187 undergraduate students who self-identified as Black women. Sixty-three percent of the participants reported experiencing some type of PRMa at least once in a while during the past year, and 96% reported experiencing some type of PRMi at least a few times a year. As hypothesized, PRMa and PRMi significantly predicted depressive symptoms; however, PRMa made a stronger unique contribution. Contrary to hypotheses, PRMa but not PRMi significantly predicted anxious symptoms. Findings suggest that PRMa and PRMi are common occurrences for Black women and are associated with negative mental health outcomes, with PRMa being the less common but more detrimental of the two.

Measuring discrimination in South Korea: underestimating the prevalence of discriminatory experiences among female and less educated workers?

OBJECTIVES

To investigate the possibility that Koreans show different patterns in reporting discriminatory experiences based on their gender and education level, we analyzed the participants who answered "Not Applicable" for the questions of discriminatory experiences that they were eligible to answer.

METHODS

Discriminatory experiences in eight social situations were assessed using the 7(th) wave of Korean Labor and Income Panel Study. After restricting the study population to waged workers, a logistic regression model was constructed to predict the probability that an individual has experienced discrimination based on the observed covariates for each of eight situations, using the data of participants who answered either Yes or No. With the model fit, the predicted logit score of discrimination (PLSD) was obtained for participants who answered Not Applicable (NA), as well as for those who answered Yes or No. The mean PLSD of the NA group was compared with those of the Yes group and the No group after stratification by gender and education level using an ANOVA model.

RESULTS

On the questions of discrimination in getting hired and receiving income, the PLSD of the NA group was significantly higher than that of the No group and was not different from that of Yes group for female and junior high or less educated workers, suggesting that their NA responses were more likely to mean that they have experienced discrimination. For male and college or more educated workers, the NA group had a PLSD similar to that for the No group and had a significantly higher PLSD than the Yes group, implying that their NA responses would mean they that they have not experienced discrimination.

CONCLUSIONS

Our findings suggest that the responses of NA on the discrimination questionnaire may need different interpretation based on the respondents' gender and education level in South Korea.

Self-reported experience of racial discrimination and health care use in New Zealand: results from the 2006/07 New Zealand Health Survey

OBJECTIVES

We investigated whether reported experience of racial discrimination in health care and in other domains was associated with cancer screening and negative health care experiences.

METHODS

We used 2006/07 New Zealand Health Survey data (n = 12 488 adults). We used logistic regression to examine the relationship of reported experience of racial discrimination in health care (unfair treatment by a health professional) and in other domains (personal attack, unfair treatment in work and when gaining housing) to breast and cervical cancer screening and negative patient experiences adjusted for other variables.

RESULTS

Racial discrimination by a health professional was associated with lower odds of breast (odds ratio [OR] = 0.37; 95% confidence interval [CI] = 0.14, 0.996) and cervical cancer (OR = 0.51; 95% CI = 0.30, 0.87) screening among Maori women. Racial discrimination by a health professional (OR = 1.57; 95% CI = 1.15, 2.14) and racial discrimination more widely (OR = 1.55; 95% CI = 1.35, 1.79) were associated with negative patient experiences for all participants.

CONCLUSIONS

Experience of racial discrimination in both health care and other settings may influence health care use and experiences of care and is a potential pathway to poor health.

Methods for the scientific study of discrimination and health: an ecosocial approach

The scientific study of how discrimination harms health requires theoretically grounded methods. At issue is how discrimination, as one form of societal injustice, becomes embodied inequality and is manifested as health inequities. As clarified by ecosocial theory, methods must address the lived realities of discrimination as an exploitative and oppressive societal phenomenon operating at multiple levels and involving myriad pathways across both the life course and historical generations. An integrated embodied research approach hence must consider (1) the structural level-past and present de jure and de facto discrimination; (2) the individual level-issues of domains, nativity, and use of both explicit and implicit discrimination measures; and (3) how current research methods likely underestimate the impact of racism on health.

Provider factors and patient-reported healthcare discrimination in the Diabetes Study of California (DISTANCE)

OBJECTIVE

We examined provider-level factors and reported discrimination in the healthcare setting.

METHODS

With data from the Diabetes Study of Northern California (DISTANCE) - a race-stratified survey of diabetes patients in Kaiser Permanente Northern California - we analyzed patient-reported racial/ethnic discrimination from providers. Primary exposures were characteristics of the primary care provider (PCP, who coordinates care in this system), including specialty/type, and patient-provider relationship variables, including racial concordance.

RESULTS

Subjects (n=12,151) included 20% black, 20% Latino, 23% Asian, 30% white, and 6% other patients, with 2-8% reporting discrimination by racial/ethnic group. Patients seeing nurse practitioners as their PCP (OR=0.09; 95% CI: 0.01-0.67) and those rating their provider higher on communication (OR=0.70; 95% CI: 0.66-0.74) were less likely to report discrimination, while those with more visits (OR=1.10; 95% CI: 1.03-1.18) were more likely to report discrimination. Racial concordance was not significant once adjusting for patient race/ethnicity.

CONCLUSIONS

Among diverse diabetes patients in managed care, provider type and communication were significantly related to patient-reported discrimination.

PRACTICE IMPLICATIONS

Given potential negative impacts on patient satisfaction and treatment decisions, future studies should investigate which interpersonal aspects of the provider-patient relationship reduce patient perceptions of unfair treatment.

"There's no kind of respect here" A qualitative study of racism and access to maternal health care among Romani women in the Balkans

Introduction

Roma, the largest minority group in Europe, face widespread racism and health disadvantage. Using qualitative data from Serbia and Macedonia, our objective was to develop a conceptual framework showing how three levels of racism--personal, internalized, and institutional--affect access to maternal health care among Romani women.

Methods

Eight focus groups of Romani women aged 14-44 (n = 71), as well as in-depth semi-structured interviews with gynecologists (n = 8) and key informants from NGOs and state institutions (n = 11) were conducted on maternal health care seeking, experiences during care, and perceived health care discrimination. Transcripts were coded, and analyzed using a grounded theory approach. Themes were categorized into domains.

Results

Twenty-two emergent themes identified barriers that reflected how racism affects access to maternal health care. The domains into which the themes were classified were perceptions and interactions with health system, psychological factors, social environment and resources, lack of health system accountability, financial needs, and exclusion from education.

Conclusions

The experiences of Romani women demonstrate psychosocial and structural pathways by which racism and discrimination affect access to prenatal and maternity care. Interventions to address maternal health inequalities should target barriers within all three levels of racism.

Patient-reported racial/ethnic healthcare provider discrimination and medication intensification in the Diabetes Study of Northern California (DISTANCE)

BACKGROUND

Racial/ethnic minority patients are more likely to report experiences with discrimination in the healthcare setting, potentially leading to reduced access to appropriate care; however, few studies evaluate reports of discrimination with objectively measured quality of care indicators.

OBJECTIVE

To evaluate whether patient-reported racial/ethnic discrimination by healthcare providers was associated with evidence of poorer quality care measured by medication intensification.

RESEARCH DESIGN AND PARTICIPANTS

Baseline data from the Diabetes Study of Northern California (DISTANCE), a random, race-stratified sample from the Kaiser Permanente Diabetes Registry from 2005-2006, including both survey and medical record data.

MAIN MEASURES

Self-reported healthcare provider discrimination (from survey data) and medication intensification (from electronic prescription records) for poorly controlled diabetes patients (A1c ≥9.0%; systolic BP ≥140 mmHg or diastolic BP ≥90 mmHg; low-density lipoprotein (LDL) ≥130 mg/dl).

KEY RESULTS

Of 10,409 eligible patients, 21% had hyperglycemia, 14% had hyperlipidemia, and 32% had hypertension. Of those with hyperglycemia, 59% had their medications intensified, along with 40% with hyperlipidemia, 33% with hypertension, and 47% in poor control of any risk factor. In adjusted log-binomial GEE models, discrimination was not associated with medication intensification [RR = 0.96 (95% CI: 0.74, 1.24) for hyperglycemia, RR = 1.23 (95% CI: 0.93, 1.63) for hyperlipidemia, RR = 1.06 (95% CI: 0.69, 1.61) for hypertension, and RR = 1.08 (95% CI: 0.88, 1.33) for the composite cohort].

CONCLUSIONS

We found no evidence that patient-reported healthcare discrimination was associated with less medication intensification. While not associated with this technical aspect of care, discrimination could still be associated with other aspects of care (e.g., patient-centeredness, communication).

Comparison between two race/skin color classifications in relation to health-related outcomes in Brazil

BACKGROUND

This paper aims to compare the classification of race/skin color based on the discrete categories used by the Demographic Census of the Brazilian Institute of Geography and Statistics (IBGE) and a skin color scale with values ranging from 1 (lighter skin) to 10 (darker skin), examining whether choosing one alternative or the other can influence measures of self-evaluation of health status, health care service utilization and discrimination in the health services.

METHODS

This is a cross-sectional study based on data from the World Health Survey carried out in Brazil in 2003 with a sample of 5000 individuals older than 18 years. Similarities between the two classifications were evaluated by means of correspondence analysis. The effect of the two classifications on health outcomes was tested through logistic regression models for each sex, using age, educational level and ownership of consumer goods as covariables.

RESULTS

Both measures of race/skin color represent the same race/skin color construct. The results show a tendency among Brazilians to classify their skin color in shades closer to the center of the color gradient. Women tend to classify their race/skin color as a little lighter than men in the skin color scale, an effect not observed when IBGE categories are used. With regard to health and health care utilization, race/skin color was not relevant in explaining any of them, regardless of the race/skin color classification. Lack of money and social class were the most prevalent reasons for discrimination in healthcare reported in the survey, suggesting that in Brazil the discussion about discrimination in the health care must not be restricted to racial discrimination and should also consider class-based discrimination. The study shows that the differences of the two classifications of race/skin color are small. However, the interval scale measure appeared to increase the freedom of choice of the respondent.

Multiple instrument translation for use with South Asian Indian immigrants

The purpose of this study was to describe translation of five measures (physical activity, acculturation, discrimination, self-efficacy, and depression) from English into Hindi using the committee translation method, focus group, and think-aloud interviews. Two South Asian Indian (SAI) immigrant bilingual translators and a moderator reached consensus on 93 of 102 items, using the committee method. Discrepancy in nine items was resolved with a focus group conducted with five bilingual SAI immigrants. Ten other bilingual SAI immigrants participated in think-aloud interviews to assess understanding and interpretation of the questions. More than 10 additional changes were made following the think-aloud interviews. Sequential use of multiple translation techniques improved translation with culturally acceptable language, thereby maintaining equivalence with original versions.

Racism and health among urban Aboriginal young people

Background

Racism has been identified as an important determinant of health but few studies have explored associations between racism and health outcomes for Australian Aboriginal young people in urban areas.

Methods

Cross sectional data from participants aged 12-26 years in Wave 1 of the Victorian Aboriginal Health Service's Young People's Project were included in hierarchical logistic regression models. Overall mental health, depression and general health were all considered as outcomes with self-reported racism as the exposure, adjusting for a range of relevant confounders.

Results

Racism was reported by a high proportion (52.3%) of participants in this study. Self-reported racism was significantly associated with poor overall mental health (OR 2.67, 95% CI 1.25-5.70, p = 0.01) and poor general health (OR 2.17, 95% CI 1.03-4.57, p = 0.04), and marginally associated with increased depression (OR 2.0; 95% CI 0.97-4.09, p = 0.06) in the multivariate models. Number of worries and number of friends were both found to be effect modifiers for the association between self-reported racism and overall mental health. Getting angry at racist remarks was found to mediate the relationship between self-reported racism and general health.

Conclusions

This study highlights the need to acknowledge and address racism as an important determinant of health and wellbeing for Aboriginal young people in urban areas of Australia.

Self-reported racial discrimination in health care and diabetes outcomes

BACKGROUND

Self-reported racial discrimination in healthcare has been associated with negative health outcomes, but little is known about its association with diabetes outcomes.

METHODS

We used data from the Behavioral Risk Factor Surveillance System to investigate associations between self-reported healthcare discrimination and the following diabetes outcomes: (1) quality of care, (2) self-management and (3) complications.

RESULTS

In unadjusted logistic regression models, significant associations were found between self-reported healthcare discrimination and most measures of quality of care [diabetes-related primary care visits odds ratio (OR), 0.38; 95% confidence interval (CI), 0.21-0.66), HbA1c testing (OR, 0.42; 95%CI, 0.21-0.82), and earlier eye examination interval (OR, 0.48; 95% CI, 0.24-0.93)] and health outcomes [foot disorders (OR, 2.32, 95%CI: 1.15, 4.68) and retinopathy (OR, 2.26; 95%CI, 1.24-4.12)], but not the number of provider foot examinations (P=0.48) or diabetes self-management (self glucose monitoring, P=0.42; self foot examinations, P=0.74; diabetes class participation, P=0.37). The effects of self-reported discrimination were attenuated or eliminated after controlling for sociodemographics, health status, and access to care.

CONCLUSIONS

Self-reported racial/ethnic discrimination in healthcare was associated with worse diabetes care and more diabetes complications, but not self-care behaviors, suggesting that factors beyond patients' own behaviors may be the main source of differential outcomes. The relationships between self-reported discrimination and diabetes outcomes were eliminated once adjusting for sociodemographics, health status, and access to care. Our findings suggest that other factors (ie, race, insurance, health status) may play equally or more important roles in determining diabetes health disparities, and that a comprehensive strategy is needed to effectively address health disparities.

MEASURING EVERYDAY RACIAL/ETHNIC DISCRIMINATION IN HEALTH SURVEYS: How Best to Ask the Questions, in One or Two Stages, Across Multiple Racial/Ethnic Groups?

While it is clear that self-reported racial/ethnic discrimination is related to illness, there are challenges in measuring self-reported discrimination or unfair treatment. In the present study, we evaluate the psychometric properties of a self-reported instrument across racial/ ethnic groups in a population-based sample, and we test and interpret findings from applying two different widely-used approaches to asking about discrimination and unfair treatment. Even though we found that the subset of items we tested tap into a single underlying concept, we also found that different groups are more likely to report on different aspects of discrimination. Whether race is mentioned in the survey question affects both frequency and mean scores of reports of racial/ethnic discrimination. Our findings suggest caution to researchers when comparing studies that have used different approaches to measure racial/ethnic discrimination and allow us to suggest practical empirical guidelines for measuring and analyzing racial/ethnic discrimination. No less important, we have developed a self-reported measure of recent racial/ethnic discrimination that functions well in a range of different racial/ethnic groups and makes it possible to compare how racial/ethnic discrimination is associated with health disparities among multiple racial/ethnic groups.

Correlates of patient-reported racial/ethnic health care discrimination in the Diabetes Study of Northern California (DISTANCE)

OBJECTIVES

We examined possible determinants of self-reported health care discrimination.

METHODS

We examined survey data from the Diabetes Study of Northern California (DISTANCE), a race-stratified sample of Kaiser diabetes patients. Respondents reported perceived discrimination, and regression models examined socioeconomic, acculturative, and psychosocial correlates.

RESULTS

Subjects (n=17,795) included 20% Blacks, 23% Latinos, 13% East Asians, 11% Filipinos, and 27% Whites. Three percent and 20% reported health care and general discrimination. Health care discrimination was more frequently reported by minorities (ORs ranging from 2.0 to 2.9 compared with Whites) and those with poorer health literacy (OR=1.10, 95% CI: 1.04-1.16), limited English proficiency (OR=1.91, 95% CI: 1.32-2.78), and depression (OR=1.53, 95% CI: 1.10-2.13).

CONCLUSIONS

In addition to race/ethnicity, health literacy and English proficiency may be bases of discrimination. Evaluation is needed to determine whether patients are treated differently or more apt to perceive discrimination, and whether depression fosters and/or follows perceived discrimination.

Adapting the everyday discrimination scale to medical settings: reliability and validity testing in a sample of African American patients

OBJECTIVE

Despite evidence that discrimination within the health care system may play an important role in perpetuating health disparities, instruments designed to measure discrimination within the health care setting have not been adequately tested or validated. Consequently, we sought to test the psychometric properties of a modified version of the Everyday Discrimination scale, adapted for medical settings.

DESIGN

Cross-sectional study.

SETTING

Academic medical center in Chicago.

PARTICIPANTS

Seventy-four African American patients.

OUTCOME MEASURES

We measured factor analysis, internal consistency, test-retest reliability, convergent validity and discriminant validity.

RESULTS

Seventy-four participants completed the baseline interviews and 66 participants (89%) completed the follow-up interviews. Eighty percent were women. The Discrimination in Medical Settings (DMS) Scale had a single factor solution (eigenvalue of 4.36), a Cronbach's alpha of 0.89 and test-retest reliability of .58 (P<.0001). The DMS was significantly correlated with an overall measure of societal discrimination (EOD) (r=.51, P<.001) as well as two of its three subscales (unfair: r=-.04, P=.76; discrimination: r=.45, P<0.001; worry: r=-.36, P=.002). The DMS was associated with the overall African American Trust in Health Care Scale (r=.27, P=.02) as well as two key subscales (racism: r=.31, P<.001; disrespect: r=.44, P<.001). The DMS scale was inversely associated with the Social Desirability Scale (r=.18, P=.13). The DMS scale was not correlated with the Center for Epidemiologic Studies Depression Scale (r=.03, P=.80).

CONCLUSIONS

The Discrimination in Medical Settings Scale has excellent internal consistency, test-retest reliability, convergent validity and discriminant validity among our sample of African American patients. Further testing is warranted among other racial/ethnic groups.

Neighborhood- and individual-level socioeconomic variation in perceptions of racial discrimination

OBJECTIVE

In approaching the study of racial discrimination and health, the neighborhood- and individual-level antecedents of perceived discrimination need further exploration. We investigated the relationship between neighborhood- and individual-level socioeconomic position (SEP), neighborhood racial composition, and perceived racial discrimination in a cohort of African-American and White women age 40-79 from Connecticut, USA.

DESIGN

The logistic regression analysis included 1249 women (39% African-American and 61% White). Neighborhood-level SEP and racial composition were determined using 1990 census tract information. Individual-level SEP indicators included income, education, and occupation. Perceived racial discrimination was measured as lifetime experience in seven situations.

RESULTS

For African-American women, living in the most disadvantaged neighborhoods was associated with fewer reports of racial discrimination (odds ratio (OR) 0.44; 95% confidence interval (CI) 0.26, 0.75), with results attenuated after adjustment for individual-level SEP (OR 0.54, CI: 0.29, 1.03), and additional adjustment for neighborhood racial composition (OR 0.70, CI: 0.30, 1.63). African-American women with 12 years of education or less were less likely to report racial discrimination, compared with women with more than 12 years of education (OR 0.57, CI: 0.33, 0.98 (12 years); OR 0.51, CI: 0.26, 0.99 (less than 12 years)) in the fully adjusted model. For White women, neither neighborhood-level SEP nor individual-level SEP was associated with perceived racial discrimination.

CONCLUSION

Individual- and neighborhood-level SEP may be important in understanding how racial discrimination is perceived, reported, processed, and how it may influence health. In order to fully assess the role of racism in future studies, inclusion of additional dimensions of discrimination may be warranted.

Associations between racial discrimination, limited English proficiency, and health-related quality of life among 6 Asian ethnic groups in California

OBJECTIVES

We examined the association of racial discrimination and limited English proficiency with health-related quality of life among Asian Americans in California.

METHODS

We studied Chinese (n = 2576), Filipino (n = 1426), Japanese (n = 833), Korean (n = 1128), South Asian (n = 822), and Vietnamese (n = 938) respondents to the California Health Interview Survey in 2003 and 2005. We assessed health-related quality of life with the Centers for Disease Control and Prevention's measures of self-rated health, activity limitation days, and unhealthy days.

RESULTS

Overall, Asians who reported racial discrimination or who had limited English proficiency were more likely to have poor quality of life, after adjustment for demographic characteristics. South Asian participants who reported discrimination had an estimated 14.4 more activity limitation days annually than South Asians who did not report discrimination. Results were similar among other groups. We observed similar but less consistent associations for limited English proficiency.

CONCLUSIONS

Racial discrimination, and to a lesser extent limited English proficiency, appear to be key correlates of quality of life among Asian ethnic groups.