What Matters Most? Intersectional Correlates of Caregiver Burdens.

Increasing numbers of older adults require caregiver support from unpaid caregivers. Yet, there is limited research on caregiver burden type and interactions across race, gender, and other sociodemographic characteristics. This quantitative study uses an intersectional framework to examine associations between caregiving burden and sociodemographic factors. Using survey data from the National Survey of Caregiving the sample included unpaid caregivers (N = 1304) of older adult (65+) Medicare beneficiaries. Binary logistic regression analysis revealed that over 40% of the respondents reported emotional difficulties. Correlates to emotional difficulties included race, gender, age, and income with an age by income interaction. For physical difficulties, gender, age, work, and education mattered most, with an age by education interaction. Age and income predicted financial difficulties without interactions. Findings suggest that policymakers target emotional and physical difficulties, attend to age and socioeconomic status, and address the unique challenges faced in midlife by caregivers.

Correction to: Physician Knowledge of Human Genetic Variation, Beliefs About Race and Genetics, and Use of Race in Clinical Decision-making.

We discovered that two of the items in the knowledge index were incorrectly identified. We reran all the analyses and none of the major findings changed. However, we would like to correct the error since our hope is that others will use the measure.

A Comparison of Physicians' and Nurse Practitioners' Use of Race in Clinical Decision-Making.

Objective: The debate over use of race as a proxy for genetic risk of disease continues, but little is known about how primary care providers (nurse practitioners and general internal medicine physicians) currently use race in their clinical practice. Our study investigates primary care providers' use of race in clinical practice. Methods: Survey data from three cross-sectional parent studies were used. A total of 178 nurse practitioners (NPs) and 759 general internal medicine physicians were included. The outcome of interest was the Racial Attributes in Clinical Evaluation (RACE) scale, which measures explicit use of race in clinical decision-making. Predictor variables included the Genetic Variation Knowledge Assessment Index (GKAI), which measures the providers' knowledge of human genetic variation. Results: In the final multivariable model, NPs had an average RACE score that was 1.60 points higher than the physicians' score (P=.03). The GKAI score was not significantly associated with the RACE outcome in the final model (P=.67). Conclusions: Physicians had more knowledge of genetic variation and used patients' race less in the clinical decision-making process than NPs. We speculate that these differences may be related to differences in discipline-specific clinical training and approaches to clinical care. Further exploration of these differences is needed, including examination of physicians' and NPs' beliefs about race, how they use race in disease screening and treatment, and if the use of race is contributing to health care disparities.

Physician Knowledge of Human Genetic Variation, Beliefs About Race and Genetics, and Use of Race in Clinical Decision-making.

BACKGROUND: Race in the USA has an enduring connection to health and well-being. It is often used as a proxy for ancestry and genetic variation, although self-identified race does not establish genetic risk of disease for an individual patient. How physicians reconcile these seemingly paradoxical facts as they make clinical decisions is unknown. OBJECTIVE: To examine physicians' genetic knowledge and beliefs about race with their use of race in clinical decision-making DESIGN: Cross-sectional survey of a national sample of clinically active general internists RESULTS: Seven hundred eighty-seven physicians completed the survey. Regression models indicate that genetic knowledge was not significantly associated with use of race. However, physicians who agreed with notions of race as a biological phenomenon and those who agreed that race has clinical importance were more likely to report using race in their decision-making. CONCLUSIONS: Genomic and precision medicine holds considerable promise for narrowing the gap in health among racial groups in the USA. For this promise to be realized, our findings suggest that future research and education efforts related to race, genomics, and health must go beyond educating health care providers about common genetic conditions to delving into assumptions about race and genetics.

African American Women and Obesity Through the Prism of Race.

BACKGROUND: There are minimal studies focusing on African American women and obesity, and there are even fewer studies examining obesity through a critical race theoretical framework. African American obesity research has largely focused on individual and community interventions, which have not been sufficient to reverse the obesity epidemic. PURPOSE: The purpose of this study was to examine the relationship between race and body mass index (BMI) for African American women. METHOD: Previously collected data from the National Survey of American Life Self-Administered Questionnaire, 2001-2003 (NSAL-SAQ) was analyzed for this study. The NSAL-SAQ dedicated a section to the exploration of group and personal identity, along with having anthropometric data and health habit questions to be able to conduct analyses for associations between the racial identity dimensions and obesity. RESULTS: Multiple linear regression was used to examine the constructs of racial identity on BMI comparing standardized coefficients (ß) and R2adj values. Results indicated participants ascribing more to the stereotype of "Blacks giving up easily" (ß = 0.527, p = .000) showed an increased BMI. Additionally, the negative stereotype of "Blacks being violent" (ß = 0.663, p = .000) and "Blacks being lazy" (ß = 0.506, p = .001) was associated with an increased BMI. CONCLUSIONS: Based on these finds high negative racial regard is associated with increased weight. This study contributes uniquely to the scientific literature, focusing on the construct of racial identity and obesity in African American women.

Primary Care Physicians' Collection, Comfort, and Use of Race and Ethnicity in Clinical Practice in the United States.

PURPOSE: The clinical utility of race and ethnicity has been debated. It is important to understand if and how race and ethnicity are communicated and collected in clinical settings. We investigated physicians' self-reported methods of collecting a patient's race and ethnicity in the clinical encounter, their comfort with collecting race and ethnicity, and associations with use of race in clinical decision-making. METHODS: A national cross-sectional study of 787 clinically active general internists in the United States. Physicians' self-reported comfort with collecting patient race and ethnicity, their collection practices, and use of race in clinical care were assessed. Bivariate and multivariable regression analyses were conducted to examine associations between comfort, collection practices, and use of race. RESULTS: Most physicians asked patients to self-report their race or ethnicity (26.5%) on an intake form or collected this information directly from patients (26.2%). Most physicians were comfortable collecting patient race and ethnicity (84.3%). Physicians who were more comfortable collecting patient race and ethnicity (ß= 1.65; [95% confidence interval; CI 0.03-3.28]) or who directly collected patients' race and ethnicity (ß= 1.24 [95% CI 0.07-2.41]) were more likely to use race in clinical decision-making than physicians who were uncomfortable. CONCLUSIONS: This study documents variation in physician comfort level and practice patterns regarding patient race and ethnicity data collection. As the U.S. population becomes more diverse, future work should examine how physicians speak about race and ethnicity with patients and their use of race and ethnicity data impact patient-physician relationships, clinical decision-making, and patient outcomes.

Nurses' Use of Race in Clinical Decision Making.

PURPOSE: To examine nurses' self-reported use of race in clinical evaluation. DESIGN: This cross-sectional study analyzed data collected from three separate studies using the Genetics and Genomics in Nursing Practice Survey, which includes items about use of race and genomic information in nursing practice. The Racial Attributes in Clinical Evaluation (RACE) scale was used to measure explicit clinical use of race among nurses from across the United States. METHODS: Multivariate regression analysis was used to examine associations between RACE score and individual-level characteristics and beliefs in 5,733 registered nurses. FINDINGS: Analysis revealed significant relationships between RACE score and nurses' race and ethnicity, educational level, and views on the clinical importance of patient demographic characteristics. Asian nurses reported RACE scores 1.41 points higher than White nurses (p < .001), and Black nurses reported RACE scores 0.55 points higher than White nurses (p < .05). Compared to diploma-level nurses, the baccalaureate-level nurses reported 0.69 points higher RACE scores (p < .05), master's-level nurses reported 1.63 points higher RACE scores (p < .001), and doctorate-level nurses reported 1.77 points higher RACE scores (p < .01). In terms of clinical importance of patient characteristics, patient race and ethnicity corresponded to a 0.54-point increase in RACE score (p < .001), patient genes to a 0.21-point increase in RACE score (p < .001), patient family history to a 0.15-point increase in RACE score (p < .01), and patient age to a 0.19-point increase in RACE score (p < .001). CONCLUSIONS: Higher reported use of race among minority nurses may be due, in part, to differential levels of racial self-awareness. A relatively linear positive relationship between level of nursing degree nursing education and use of race suggests that a stronger foundation of knowledge about genetic ancestry, population genetics and the concept "race" and genetic ancestry may increase in clinical decision making could allow nurses to more appropriately use of race in clinical care. Integrating patient demographic characteristics into clinical decisions is an important component of nursing practice. CLINICAL RELEVANCE: Registered nurses provide care for diverse racial and ethnic patient populations and stand on the front line of clinical care, making them essential for reducing racial and ethnic disparities in healthcare delivery. Exploring registered nurses' individual-level characteristics and clinical use of race may provide a more comprehensive understanding of specific training needs and inform nursing education and practice.

Development and psychometric assessment of the healthcare provider cultural competence instrument.

This study presents the measurement properties of 5 scales used in the Healthcare Provider Cultural Competence Instrument (HPCCI). The HPCCI measures a health care provider's cultural competence along 5 primary dimensions: (1) awareness/sensitivity, (2) behaviors, (3) patient-centered communication, (4) practice orientation, and (5) self-assessment. Exploratory factor analysis demonstrated that the 5 scales were distinct, and within each scale items loaded as expected. Reliability statistics indicated a high level of internal consistency within each scale. The results indicate that the HPCCI effectively measures the cultural competence of health care providers and can provide useful professional feedback for practitioners and organizations seeking to increase a practitioner's cultural competence.

Physicians' knowledge, beliefs, and use of race and human genetic variation: new measures and insights.

BACKGROUND: Understanding physician perspectives on the intersection of race and genomics in clinical decision making is critical as personalized medicine and genomics become more integrated in health care services. There is a paucity of literature in the United States of America (USA) and globally regarding how health care providers understand and use information about race, ethnicity and genetic variation in their clinical decision making. This paper describes the development of three scales related to addressing this gap in the literature: the Bonham and Sellers Genetic Variation Knowledge Assessment Index--GKAI, Health Professionals Beliefs about Race-HPBR, and Racial Attributes in Clinical Evaluation-RACE scales. METHODS: A cross-sectional, web survey of a national random sample of general internists in the USA (N = 787) was conducted. Confirmatory factor analysis was used to assess the construct validity of the scales. Scale items were developed through focus groups, cognitive interviews, expert advisory panels, and exploratory factor analysis of pilot data. RESULTS: GKAI was measured as a count of correct answers (Mean = 3.28 SD = 1.17). HPBR yielded two domains: beliefs about race as a biological phenomenon (HPBR-BD, alpha = .69, 4 items) and beliefs about the clinical value of race and genetic variation for understanding risk for disease (HPBR-CD alpha = .61, 3 items). RACE yielded one factor (alpha = .86, 7 items). CONCLUSIONS: GKAI is a timely knowledge scale that can be used to assess health professional knowledge of race and human genetic variation. HPBR is a promising new tool for assessing health professionals' beliefs about the role of race and its relationship with human genetic variation in clinical practice. RACE offers a valid and reliable tool for assessing explicit use of racial attributes in clinical decision making.

Physicians' anxiety due to uncertainty and use of race in medical decision making.

BACKGROUND: The explicit use of race in medical decision making is contested. Researchers have hypothesized that physicians use race in care when they are uncertain. OBJECTIVES: The aim of this study was to investigate whether physician anxiety due to uncertainty (ADU) is associated with a higher propensity to use race in medical decision making. RESEARCH DESIGN: This study included a national cross-sectional survey of general internists. SUBJECTS: A national sample of 1738 clinically active general internists drawn from the SK&A physician database were included in the study. MEASURES: ADU is a 5-item measure of emotional reactions to clinical uncertainty. Bonham and Sellers Racial Attributes in Clinical Evaluation (RACE) scale includes 7 items that measure self-reported use of race in medical decision making. We used bivariate regression to test for associations between physician characteristics, ADU, and RACE. Multivariate linear regression was performed to test for associations between ADU and RACE while adjusting for potential confounders. RESULTS: The mean score on ADU was 19.9 (SD=5.6). Mean score on RACE was 13.5 (SD=5.6). After adjusting for physician demographics, physicians with higher levels of ADU scored higher on RACE (+ß=0.08 in RACE, P=0.04, for each 1-point increase in ADU), as did physicians who understood "race" to mean biological or genetic ancestral, rather than sociocultural, group. Physicians who graduated from a US medical school, completed fellowship, and had more white patients scored lower on RACE. CONCLUSIONS: This study demonstrates positive associations between physicians' ADU, meanings attributed to race, and self-reported use of race in medical decision making. Future research should examine the potential impact of these associations on patient outcomes and health care disparities.

Erratum to: Interpersonal discrimination and health-related quality of life among black and white men and women in the United States.

OBJECTIVE: We assessed associations between discrimination and health-related quality of life among black and white men and women in the United States. METHODS: We examined data from the National Health Measurement Study, a nationally representative sample of 3,648 adults aged 35-89 in the non-institutionalized US population. These data include self-reported lifetime and everyday discrimination as well as several health utility indexes (EQ-5D, HUI3, and SF-6D). Multiple regression was used to compute mean health utility scores adjusted for age, income, education, and chronic diseases for each race-by-gender subgroup. RESULTS: Black men and women reported more discrimination than white men and women. Health utility tended to be worse as reported discrimination increased. With a few exceptions, differences between mean health utility scores in the lowest and highest discrimination groups exceeded the 0.03 difference generally considered to be a clinically significant difference. CONCLUSIONS: Persons who experienced discrimination tended to score lower on health utility measures. The study also revealed a complex relationship between experiences of discrimination and race and gender. Because of these differential social and demographic relationships caution is urged when interpreting self-rated health measures in research, clinical, and policy settings.

Interpersonal discrimination and health-related quality of life among black and white men and women in the United States.

OBJECTIVE: We assessed associations between discrimination and health-related quality of life among black and white men and women in the United States. METHODS: We examined data from the National Health Measurement Study, a nationally representative sample of 3,648 adults aged 35-89 in the non-institutionalized US population. These data include self-reported lifetime and everyday discrimination as well as several health utility indexes (EQ-5D, HUI3, and SF-6D). Multiple regression was used to compute mean health utility scores adjusted for age, income, education, and chronic diseases for each race-by-gender subgroup. RESULTS: Black men and women reported more discrimination compared to white men and women. Health utility tended to be worse as reported discrimination increased. With a few exceptions, differences between mean health utility scores in the lowest and highest discrimination groups exceeded the 0.03 difference generally considered to be a clinically significant difference. CONCLUSIONS: Persons who experienced discrimination tended to score lower on health utility measures. The study also revealed a complex relationship between experiences of discrimination and race and gender. Because of these differential social and demographic relationships caution is urged when interpreting self-rated health measures in research, clinical, and policy settings.

The impact of goal-striving stress on physical health of white Americans, African Americans, and Caribbean blacks.

OBJECTIVE: To contribute to the growing understanding of U.S. black-white health disparities by examining psychosocial stress as an important contributor to physical health problems. METHODS: Data are from the National Survey of American Life, an integrated national household probability sample of White Americans, African Americans, and Caribbean blacks. Regression analysis was used to assess associations between goal-striving stress and hypertension, BMI, physical health problems, and self-rated health. RESULTS: After accounting for sociodemographic factors and three additional stressors--personal problems, lifetime racial discrimination, and everyday racial discrimination-goal-striving stress was a significant predictor of hypertension, physical health problems, and diminished self-rated health. Ethnicity moderated the relationship; the negative association between goal-striving stress and physical health problems was strongest for Caribbean blacks. CONCLUSIONS: This study extends the research on goal-striving stress and adds to a growing literature documenting relationships between social processes and disease.

Goal-striving stress and the mental health of college-educated Black American men: the protective effects of system-blame.

The present study examined the relationship between goal-striving stress and well-being in a survey of 399 college-educated Black American men who were members of a Black fraternal organization. Regression analyses revealed that goal-striving stress was associated with decreased psychological well-being, controlling for demographics and various psychosocial factors. When asked to explain their failure to reach life goals, half of the men attributed setbacks to racial discrimination. The association of goal-striving stress with diminished well-being was stronger among those who did not attribute setbacks to race than among those who did. These findings suggest that even with material success, Black men face blocked opportunities that could be consequential to their well-being.

Is race medically relevant? A qualitative study of physicians' attitudes about the role of race in treatment decision-making.

BACKGROUND: The role of patient race in medical decision-making is heavily debated. While some evidence suggests that patient race can be used by physicians to predict disease risk and determine drug therapy, other studies document bias and stereotyping by physicians based on patient race. It is critical, then, to explore physicians' attitudes regarding the medical relevance of patient race. METHODS: We conducted a qualitative study in the United States using ten focus groups of physicians stratified by self-identified race (black or white) and led by race-concordant moderators. Physicians were presented with a medical vignette about a patient (whose race was unknown) with Type 2 diabetes and untreated hypertension, who was also a current smoker. Participants were first asked to discuss what medical information they would need to treat the patient. Then physicians were asked to explicitly discuss the importance of race to the hypothetical patient's treatment. To identify common themes, codes, key words and physician demographics were compiled into a comprehensive table that allowed for examination of similarities and differences by physician race. Common themes were identified using the software package NVivo (QSR International, v7). RESULTS: Forty self-identified black and 50 self-identified white physicians participated in the study. All physicians - regardless of their own race - believed that medical history, family history, and weight were important for making treatment decisions for the patient. However, black and white physicians reported differences in their views about the relevance of race. Several black physicians indicated that patient race is a central factor for choosing treatment options such as aggressive therapies, patient medication and understanding disease risk. Moreover, many black physicians considered patient race important to understand the patient's views, such as alternative medicine preferences and cultural beliefs about illness. However, few white physicians explicitly indicated that the patient's race was important over-and-above medical history. Instead, white physicians reported that the patient should be treated aggressively regardless of race. CONCLUSIONS: This investigation adds to our understanding about how physicians in the United States consider race when treating patients, and sheds light on issues physicians face when deciding the importance of race in medical decision-making.

Effects of incentives and prenotification on response rates and costs in a national web survey of physicians.

Little is known about what strategies are cost-effective in increasing participation among physicians in surveys that are conducted exclusively via the web. To assess the effects of incentives and prenotification on response rates and costs, general internists (N = 3,550) were randomly selected from the American Medical Association (AMA) Masterfile and assigned to experimental groups that varied in the amount of a promised incentive (none, entry into a $200 lottery, $50, or $100) and prenotification (none, prenotification letter only, or prenotification letter containing a $2 preincentive). Results indicated that the response rates were highest in the groups promised $100 and $50, respectively. While the postal prenotification letter increased response rates, the inclusion of a small token $2 preincentive had no effect on participation. Further, unlike mail surveys of physicians, the $2 preincentive was not cost-effective. Among physicians, larger promised incentives of $50 or $100 are more effective than a nominal preincentive in increasing participation in a web-only survey. Consistent with prior research, there was little evidence of nonresponse bias among the experimental groups.

Primary care physicians' attitudes regarding race-based therapies.

BACKGROUND: There is little to no information on whether race should be considered in the exam room by those who care for and treat patients. How primary care physicians understand the relationship between genes, race and drugs has the potential to influence both individual care and racial and ethnic health disparities. OBJECTIVE: To describe physicians' use of race-based therapies, with specific attention to the case of BiDil (isosorbide dinitrate/hydralazine), the first drug approved by the FDA for a race-specific indication, and angiotensin-converting enzyme (ace) inhibitors in their black and white patients. DESIGN: Qualitative study involving 10 focus groups with 90 general internists. PARTICIPANTS: Black and white general internists recruited from community and academic internal medicine practices participated in the focus groups.Of the participants 64% were less than 45 years of age, and 73% were male. APPROACH: The focus groups were transcribed verbatim, and the data were analyzed using template analysis. RESULTS: There was a range of opinions relating to the practice of race-based therapies. Physicians who were supportive of race-based therapies cited several potential benefits including motivating patients to comply with medical therapy and promoting changes in health behaviors by creating the perception that the medication and therapies were tailored specifically for them. Physicians acknowledged that in clinical practice some medications vary in their effectiveness across different racial groups, with some physicians citing the example of ace inhibitors. However, physicians voiced concern that black patients who could benefit from ace inhibitors may not be receiving them. They were also wary that the category of race reflected meaningful differences on a genetic level. In the case of BiDil, physicians were vocal in their concern that commercial interests were the primary impetus behind its creation. CONCLUSIONS: Primary care physicians' opinions regarding race-based therapy reveal a nuanced understanding of race-based therapies and a wariness of their use by physicians.

Physicians' attitudes toward race, genetics, and clinical medicine.

PURPOSE: This qualitative study explored black and white general internists' attitudes about the relevance of race in clinical care; views of the relationships among race, genetics, and disease; and expectations about the future of genetics and health. METHODS: We conducted 10 racially concordant focus groups of primary care physicians in five metropolitan areas in the United States. Ninety board certified or eligible general internists (50 self-identified whites and 40 self-identified blacks) participated in the study. Analysis included a two-stage independent review and adjudication process. RESULTS: Both black and white physicians concluded that the race of the patient is medically relevant but did not agree upon why race is important in clinical decisions. They were reticent to make connections among race, genetics, and disease and asserted that genetics has a limited role in explaining racial differences in health. However, they were enthusiastic about the future of genomic medicine, believing that the main benefit will be the potential to improve the efficacy of commonly used drugs. CONCLUSIONS: Understanding the similarities and differences between black and white physicians' attitudes and beliefs about race, health and genetics is important for the translation of genomics to clinical care.

Effects of racial discrimination and health behaviors on mental and physical health of middle-class African American men.

This research is an examination of the effects of racial discrimination and health-promoting behaviors on the physical and mental health of a sample of 399 well-educated African American men. One would think that the attainment of higher education would increase health-promoting behaviors and might decrease discriminatory experiences that impact health. However, regression analysis indicated a more complex picture. Health-promoting behaviors were positively related to mental health, whereas experiences of racial discrimination contributed to poorer mental health. Relationships between health-promoting behaviors and that of racial discrimination to physical health were found to be nonsignificant. In conclusion, the authors discuss the importance of culturally appropriate health-promotion efforts.