M. Norman Oliver

Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites

Significance The present work examines beliefs associated with racial bias in pain management, a critical health care domain with well-documented racial disparities. Specifically, this work reveals that a substantial number of white laypeople and medical students and residents hold false beliefs about biological differences between blacks and whites and demonstrates that these beliefs predict racial bias in pain perception and treatment recommendation accuracy. It also provides the first evidence that racial bias in pain perception is associated with racial bias in pain treatment recommendations. Taken together, this work provides evidence that false beliefs about biological differences between blacks and whites continue to shape the way we perceive and treat black people—they are associated with racial disparities in pain assessment and treatment recommendations. Black Americans are systematically undertreated for pain relative to white Americans. We examine whether this racial bias is related to false beliefs about biological differences between blacks and whites (e.g., “black people’s skin is thicker than white people’s skin”). Study 1 documented these beliefs among white laypersons and revealed that participants who more strongly endorsed false beliefs about biological differences reported lower pain ratings for a black (vs. white) target. Study 2 extended these findings to the medical context and found that half of a sample of white medical students and residents endorsed these beliefs. Moreover, participants who endorsed these beliefs rated the black (vs. white) patient’s pain as lower and made less accurate treatment recommendations. Participants who did not endorse these beliefs rated the black (vs. white) patient’s pain as higher, but showed no bias in treatment recommendations. These findings suggest that individuals with at least some medical training hold and may use false beliefs about biological differences between blacks and whites to inform medical judgments, which may contribute to racial disparities in pain assessment and treatment.

Culturally Tailored Intervention for Rural African Americans With Type 2 Diabetes

Purpose The purpose of this pilot study was to evaluate a culturally tailored intervention for rural African Americans. Social Cognitive Theory provided the framework for the study. Methods Twenty-two participants were recruited and randomly assigned to either Group or Individual diabetes self-management (DSME). Group DSME included story-telling, hands-on activities, and problem-solving exercises. Individual DSME sessions focused on goal-setting and problem-solving strategies. Sessions were offered in an accessible community center over a 10-week period. Results Outcomes included glycosylated hemoglobin (A1C), self-care actions, self-efficacy level, goal attainment, and satisfaction with DSME. Participants in both Group and Individual DSME improved slightly over the 3-month period in self-care activities, A1C level, and goal attainment. Although differences were not statistically significant, trends indicate improved scores on dietary actions, foot care, goal attainment, and empowerment for those experiencing Group DSME. Conclusions The culturally tailored approach was well received by all participants. Improvements among those receiving Individual DSME may indicate that brief sessions using a culturally tailored approach could enhance self-care and glycemic control. Additional testing among more participants over a longer time period is recommended.

An examination of sex and racial/ethnic differences in the metabolic syndrome among adults: A confirmatory factor analysis and a resulting continuous severity score

OBJECTIVE The metabolic syndrome (MetS) is typically diagnosed based on abnormalities in specific clustered clinical measures that are associated with increased risk for coronary heart disease (CHD) and Type 2 diabetes mellitus (T2DM). However, current MetS criteria result in racial/ethnic discrepancies. Our goals were to use confirmatory factor analysis (CFA) to delineate differential contributions to MetS by sub-group, and if contributions were discovered, develop sex and racial/ethnic-specific equations to calculate MetS severity. RESEARCH DESIGN AND METHODS Using data on adults from the National Health and Nutrition Examination Survey 1999-2010, we performed a CFA of a single MetS factor that allowed differential loadings across groups, resulting in a sex and race/ethnicity-specific continuous MetS severity score. RESULTS Loadings to the single MetS factor differed by sub-group for each MetS component (p<0.001), with lower factor loadings among non-Hispanic-blacks for triglycerides and among Hispanics for waist circumference. Systolic blood pressure exhibited low factor loadings among all groups. MetS severity scores were correlated with biomarkers of future disease (high-sensitivity C-reactive-protein, uric acid, insulin resistance). Non-Hispanic-black-males with diabetics had a low prevalence of MetS but high MetS severity scores that were not significantly different from other racial/ethnic groups. CONCLUSIONS This analysis among adults uniquely demonstrated differences between sexes and racial/ethnic groups regarding contributions of traditional MetS components to an assumed single factor. The resulting equations provide a clinically-accessible and interpretable continuous measure of MetS for potential use in identifying adults at higher risk for MetS-related diseases and following changes within individuals over time. These equations hold potential to be a powerful new outcome for use in MetS-focused research and interventions.

“Working Hard With It”: Self-management of Type 2 Diabetes by Rural African Americans

The specific aims of this study were to describe the experience of self-managing type 2 diabetes among rural dwelling African Americans, to identify facilitators and barriers to self-management, to describe the use of prescribed and alternative therapies, and to elicit recommendations for programs of diabetes care. Ten focus groups were held in 3 rural communities. Men and women were in separate groups with facilitators matched by race and gender. Seventy-three participants attended the focus groups to discuss the management of diabetes. Group sessions were tape-recorded and transcribed; field notes were also taken. Data were analyzed using Folio Views software and were reviewed by the multidisciplinary team. Results indicate both unique and common themes from this population.

The associations between race and geographic area and quality-of-care indicators in patients approaching ESRD.

BACKGROUND AND OBJECTIVES Pre-ESRD care is an important predictor of outcomes in patients undergoing long-term dialysis. This study examined the extent of variation in receiving pre-ESRD care and black-white disparities across urban and rural counties. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Participants were 404,622 non-Hispanic white and black patients aged >18 years who began dialysis between 2005 and 2010 and resided in 3076 counties from the U.S. Renal Data System. The counties were grouped into large metropolitan, medium/small metropolitan, suburban, and rural counties. Pre-ESRD care indicators included receipt of nephrologist care at least 6 or 12 months before ESRD, dietitian care, use of arteriovenous fistula at first outpatient dialysis session, and use of erythropoiesis-stimulating agents (ESAs) in patients with hemoglobin level < 10 g/dl. RESULTS Large metropolitan and rural counties had lower percentages of patients who received pre-ESRD nephrologist care (25.7% and 26.9% for nephrologist care > 12 months), compared with the higher percentage in medium/small metropolitan counties (31.6%; both P<0.001). For both races, nonmetropolitan patients had poorer access to dietitian care and lower ESA use than metropolitan patients. Consistently in all four geographic areas, black patients received less care than their white counterparts. The unadjusted odds ratios of black versus white patients in receiving nephrologist care for >12 months before ESRD were 0.66 (95% confidence interval [CI], 0.61-0.72) in large metropolitan counties and 0.79 (95% CI, 0.69-0.90) in rural counties. The patterns remained, albeit attenuated, after adjustment for patient factors. CONCLUSIONS The receipt of pre-ESRD care, with blacks receiving less care, varies among geographic areas defined by urban/rural characteristics.

Emotional, developmental and behavioural co‐morbidities of children with chronic health conditions

Aim:  This study estimated and compared rates of emotional, developmental and behavioural (EDB) problems among children with chronic health conditions.

Researching Health Inequities among African Americans: The Imperative to Understand Social Class

Racial and ethnic inequities in health abound in many disease categories. African-American communities suffer from an increased burden of illness, with higher incidence and mortality rates and more severe morbidity in cerebrovascular disease, heart disease, several cancers, diabetes, and many other ailments. Healthy People 2010, the federal governments health plan, calls for eliminating health disparities by race, ethnicity, gender, education, income, disability, geographic location, or sexual orientation. Research aimed at increasing our understanding of these health disparities and designing and evaluating interventions to improve African-American health is hampered by a liberal, classless approach. The authors argue for a theoretical framework in this research that recognizes that class exploitation sets the stage for and interacts with racial discrimination to determine racial inequities in health.

Spatial Patterns of Localized-Stage Prostate Cancer Incidence Among White and Black Men in the Southeastern United States, 1999-2001

Background: In the United States, prostate cancer incidence is higher among black than among white males, with a higher proportion of blacks diagnosed with advanced-stage cancer. Methods: Prostate cancer incidence (1999-2001) and census tract data were obtained for 66,468 cases in four states that account for 20% of U.S. blacks: Georgia, Florida, Alabama, and Tennessee. Spatial clusters of localized-stage prostate cancer incidence were detected by spatial scan. Clusters were examined by relative risk, population density, and socioeconomic and racial attributes. Results: Overall prostate cancer incidence rates were higher in black than in white men, and a lower proportion of black cases were diagnosed with localized-stage cancer. Strong associations were seen between urban residence and high relative risk of localized-stage cancer. The highest relative risks generally occurred in clusters with a lower percent black population than the national average. Conversely, of eight nonurban clusters with significantly elevated relative risk of localized-disease, seven had a higher proportion of blacks than the national average. Furthermore, positive correlations between percent black population and relative risk of localized-stage cancer were seen in Alabama and Georgia. Conclusion: Association between urban residence and high relative risk of localized-stage disease (favorable prognosis) persisted after spatial clusters were stratified by percent black population. Unexpectedly, seven of eight nonurban clusters with high relative risk of localized-stage disease had a higher percentage of blacks than the U.S. population. Impact: Although evidence of racial disparity in prostate cancer was found, there were some encouraging findings. Studies of community-level factors that might contribute to these findings are recommended. Cancer Epidemiol Biomarkers Prev; 19(6); 1460–7. ©2010 AACR.

Which Hospitals Have Significantly Better or Worse Than Expected Mortality Rates for Acute Myocardial Infarction Patients? Improved Risk Adjustment With Present-at-Admission Diagnoses

Background— Public reports that compare hospital mortality rates for patients with acute myocardial infarction are commonly used strategies for improving the quality of care delivered to these patients. Fair comparisons of hospital mortality rates require thorough adjustments for differences among patients in baseline mortality risk. This study examines the effect on hospital mortality rate comparisons of improved risk adjustment methods using diagnoses reported as present-at-admission. Methods and Results— Logistic regression models and related methods originally used by California to compare hospital mortality rates for patients with acute myocardial infarction are replicated. These results are contrasted with results obtained for the same hospitals by patient-level mortality risk adjustment models using present-at-admission diagnoses, using 3 statistical methods of identifying hospitals with higher or lower than expected mortality: indirect standardization, adjusted odds ratios, and hierarchical models. Models using present-at-admission diagnoses identified substantially fewer hospitals as outliers than did California model A for each of the 3 statistical methods considered. Conclusions— Large improvements in statistical performance can be achieved with the use of present-at-admission diagnoses to characterize baseline mortality risk. These improvements are important because models with better statistical performance identify different hospitals as having better or worse than expected mortality.

Inpatient Rehabilitation Outcomes in a National Sample of Medicare Beneficiaries With Hip Fracture

Effects of patient characteristics on rehabilitation outcomes (functional status at discharge, discharged home) were assessed in a retrospective study of Medicare beneficiaries admitted to Medicare-certified inpatient rehabilitation facilities (IRFs) following hospitalization for hip fracture in 2009 (N = 34,984). Hierarchical regression analysis showed significantly higher functional status at discharge (p < .0001) for patients with these characteristics: White or Asian, younger, female, lived alone, higher functional status at admission, fewer comorbidities, no tier comorbidities, and longer IRF length of stay (LOS). Likelihood of discharged home was higher for patients with these characteristics: Hispanic (1.49 [1.32, 1.68]), Asian (1.35 [1.04, 1.74]), or Black (1.28 [1.12, 1.47]); younger (0.96 [0.96, 0.96]); female (1.14 [1.08, 1.20]); lived with others (2.12 [2.01, 2.23]); higher functional status at admission (1.06 [1.06, 1.06]); fewer comorbidities, no tier comorbidities; and longer LOS (1.61 [1.56, 1.67]). Functional status at admission, tier comorbidities, and race/ethnicity contributed the most to variance in functional status at discharge. Living with others contributed the most to variance in discharged home.