Racial Disparities in Compensation Among US Anesthesiologists: Results of a National Survey of Anesthesiologists.

BACKGROUND: A racial compensation disparity among physicians across numerous specialties is well documented and persists after adjustment for age, sex, experience, work hours, productivity, academic rank, and practice structure. This study examined national survey data to determine whether there are racial differences in compensation among anesthesiologists in the United States. METHODS: In 2018, 28,812 active members of the American Society of Anesthesiologists were surveyed to examine compensation among members. Compensation was defined as the amount reported as direct compensation on a W-2, 1099, or K-1, plus all voluntary salary reductions (eg, 401[k], health insurance). Covariates potentially associated with compensation were identified (eg, sex and academic rank) and included in regression models. Racial differences in outcome and model variables were assessed via Wilcoxon rank sum tests and Pearson's χ 2 tests. Covariate adjusted ordinal logistic regression estimated an odds ratio (OR) for the relationship between race and ethnicity and compensation while adjusting for provider and practice characteristics. RESULTS: The final analytical sample consisted of 1952 anesthesiologists (78% non-Hispanic White). The analytic sample represented a higher percentage of White, female, and younger physicians compared to the demographic makeup of anesthesiologists in the United States. When comparing non-Hispanic White anesthesiologists with anesthesiologists from other racial and ethnic minority groups, (ie, American Indian/Alaska Native, Asian, Black, Hispanic, and Native Hawaiian/Pacific Islander), the dependent variable (compensation range) and 6 of the covariates (sex, age, spousal work status, region, practice type, and completed fellowship) had significant differences. In the adjusted model, anesthesiologists from racial and ethnic minority populations had 26% lower odds of being in a higher compensation range compared to White anesthesiologists (OR, 0.74; 95% confidence interval [CI], 0.61-0.91). CONCLUSIONS: Compensation for anesthesiologists showed a significant pay disparity associated with race and ethnicity even after adjusting for provider and practice characteristics. Our study raises concerns that processes, policies, or biases (either implicit or explicit) persist and may impact compensation for anesthesiologists from racial and ethnic minority populations. This disparity in compensation requires actionable solutions and calls for future studies that investigate contributing factors and to validate our findings given the low response rate.

Urbanicity, Income, and Mammography-Use Disparities Among American Indian Women.

INTRODUCTION: Reported breast cancer screening among American Indian women is consistently below that of White women. The last claims-based trends were from 1991 to 2001. This study updates mammography trends for American Indian women and examines the impact of race, urbanicity, and income on long-term mammography use. METHODS: This was a multi-year (2005-2019), retrospective study of women aged 40-89 years using a 5% sample of Medicare fee-for-service beneficiaries residing in Arizona, California, New Mexico, Oklahoma, and Washington. This study used multivariable logistic regression to examine the impact of urbanicity and income on receiving mammography for American Indian women compared with that for White women. Analyses were conducted in 2022. RESULTS: Overall, annual age-adjusted mammography use declined from 205 per 1,000 in 2005 to 165 per 1,000 in 2019. The slope of these declines was significantly steeper (difference = -2.41, p<0.001) for White women (-3.06) than for American Indian women (-0.65). Mammography-use odds across all urbanicity categories were less for American Indian women than for White women compared with those of their respective metropolitan counterparts (e.g., rural: 0.96, 95% CI=0.77, 1.20 for American Indian women and 1.47, 99% CI=1.39, 1.57 for White women). Although residing in higher-income communities was not associated with mammography use for American Indian women, it was 31% higher for White women (OR=1.31, 99% CI=1.28, 1.34). CONCLUSIONS: The disparity in annual age-adjusted mammography use between American Indian and White women narrowed between 2005 and 2019. However, the association of urbanicity and community income on mammography use differs substantially between American Indian and White women. Policies to reduce disparities need to consider these differences.

Racial Disparities in the Cost of Unplanned Hospitalizations after Breast Reconstruction.

BACKGROUND: Given the national attention to disparities in health care, understanding variation provided to minorities becomes increasingly important. This study will examine the effect of race on the rate and cost of unplanned hospitalizations after breast reconstruction procedures. METHODS: The authors performed an analysis comparing patients undergoing implant-based and autologous breast reconstruction in the Healthcare Cost and Utilization Project. The authors evaluated the rate of unplanned hospitalizations and associated expenditures among patients of different races. Multivariable analyses were performed to determine the association among race and readmissions and health care expenditures. RESULTS: The cohort included 17,042 patients. The rate of an unplanned visit was 5%. The rates of readmissions among black patients (6%) and Hispanic patients (7%) in this study are higher compared with white patients (5%). However, after controlling for patient-level characteristics, race was not an independent predictor of an unplanned visit. In our expenditure model, black patients [adjusted cost ratio, 1.35 (95% CI, 1.11 to 1.66)] and Hispanic patients [adjusted cost ratio, 1.34 (95% CI, 1.08 to 1.65)] experienced greater cost for their readmission compared with white patients. CONCLUSIONS: Although race is not an independent predictor of an unplanned hospital visit after surgery, racial minorities bear a higher cost burden after controlling for insurance status, further stimulating health care disparities. Adjusted payment models may be a strategy to reduce disparities in surgical care. In addition, direct and indirect measures of disparities should be used when examining health care disparities to identify consequences of inequities more robustly.

The effect of women, infant, and children (WIC) services on birth weight before and during the 2007-2009 great recession in Washington state and Florida: a pooled cross-sectional time series analysis.

BACKGROUND: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) has been shown to have positive effects in promoting healthy birth outcomes in the United States. We explored whether such effects held prior to and during the most recent Great Recession to improve birth outcomes and reduce differences among key socio-demographic groups. METHODS: We used a pooled cross-sectional time series design to study pregnant women and their infants with birth certificate data. We included Medicaid and uninsured births from Washington State and Florida (n = 226,835) before (01/2005-03/2007) and during (12/2007-06/2009) the Great Recession. Interactions between WIC enrollment and key socio-demographic groupings were analyzed for binary and continuous birth weight outcomes. RESULTS: Our study found beneficial WIC interaction effects on birth weight. For race, prenatal care, and maternal age we found significantly better birth weight outcomes in the presence of WIC compared to those without WIC. For example, being Black with WIC was associated with an increase in infant birth weight of 53.5 g (baseline) (95% CI = 32.4, 74.5) and 58.0 g (recession) (95% CI = 27.8, 88.3). For most groups this beneficial relationship was stable over time. CONCLUSIONS: This paper supports previous research linking maternal utilization of WIC services during pregnancy to improved birth weight (both reducing LBW and increasing infant birth weight in grams) among some high-disadvantage groups. WIC appears to have been beneficial at decreasing disparity gaps in infant birth weight among the very young, Black, and late/no prenatal care enrollees in this high-need population, both before and during the Great Recession. Gaps are still present among other social and demographic characteristic groups (e.g., for unmarried mothers) for whom we did not find WIC to be associated with any detectable value in promoting better birth weight outcomes. Future research needs to examine how WIC (and/or other maternal and child health programs) could be made to work better and reach farther to address persistent disparities in birth weight outcomes. Additionally, in preparation for future economic downturns it will be important to determine how to preserve and, if possible, expand WIC services during times of increased need. TRIAL REGISTRATION: Not applicable, this article reports only on secondary retrospective data (no health interventions with human participants were carried out).

Racial differences in time to treatment for melanoma.

BACKGROUND: Longer time from diagnosis to definitive surgery (TTDS) is associated with increased melanoma-specific mortality. Although black patients present with later-stage melanoma and have worse survival than non-Hispanic white patients, the association between race and TTDS is unknown. OBJECTIVE: To investigate racial differences in time to melanoma treatment. METHODS: Retrospective review of the National Cancer Database (2004-2015). Multivariable logistic regression was used to evaluate the association of race with TTDS, controlling for sociodemographic/disease characteristics. RESULTS: Of the 233,982 patients with melanoma identified, 1221 (0.52%) were black. Black patients had longer TTDS for stage I to III melanoma (P < .001) and time to immunotherapy (P = .01), but not for TTDS for stage IV melanoma or time to chemotherapy (P > .05 for both). When sociodemographic characteristics were controlled for, black patients had over twice the odds of having a TTDS between 41 and 60 days, over 3 times the odds of having a TTDS between 61 and 90 days, and over 5 times the odds of having a TTDS over 90 days. Racial differences in TTDS persisted within each insurance type. Patients with Medicaid had the longest TTDS (mean, 60.4 days), and those with private insurance had the shortest TTDS (mean, 44.6 days; P < .001 for both). CONCLUSIONS: Targeted approaches to improve TTDS for black patients are integral in reducing racial disparities in melanoma outcomes.

The potential impact of the Affordable Care Act and Medicaid expansion on reducing colorectal cancer screening disparities in African American males.

Few investigations have explored the potential impact of the Affordable Care Act on health disparity outcomes in states that chose to forgo Medicaid expansion. Filling this evidence gap is pressing as Congress grapples with controversial healthcare legislation that could phase out Medicaid expansion. Colorectal cancer (CRC) is a commonly diagnosed, preventable cancer in the US that disproportionately burdens African American men and has substantial potential to be impacted by improved healthcare insurance coverage. Our objective was to estimate the impact of the Affordable Care Act (increasing insurance through health exchanges alone or with Medicaid expansion) on colorectal cancer outcomes and economic costs among African American and White males in North Carolina (NC), a state that did not expand Medicaid. We used an individual-based simulation model to estimate the impact of ACA (increasing insurance through health exchanges alone or with Medicaid expansion) on three CRC outcomes (screening, stage-specific incidence, and deaths) and economic costs among African American and White males in NC who were age-eligible for screening (between ages 50 and 75) during the study period, years of 2013-2023. Health exchanges and Medicaid expansion improved simulated CRC outcomes overall, though the impact was more substantial among AAs. Relative to health exchanges alone, Medicaid expansion would prevent between 7.1 to 25.5 CRC cases and 4.1 to 16.4 per 100,000 CRC cases among AA and White males, respectively. Our findings suggest policies that expanding affordable, quality healthcare coverage could have a demonstrable, cost-saving impact while reducing cancer disparities.

Socioeconomic Differences in the Epidemiologic Transition From Heart Disease to Cancer as the Leading Cause of Death in the United States, 2003 to 2015: An Observational Study.

Background: Recent data suggest that the United States is in the midst of an epidemiologic transition in the leading cause of death. Objective: To examine county-level sociodemographic differences in the transition from heart disease to cancer as the leading cause of death in the United States. Design: Observational study. Setting: U.S. death records, 2003 to 2015. Participants: Decedents aged 25 years or older, classified by racial/ethnic group. Measurements: All-cause, heart disease, and cancer mortality stratified by quintiles of county median household income. Age- and sex-adjusted mortality rates and average annual percentage of change were calculated. Results: Heart disease was the leading cause of death in 79% of counties in 2003 and 59% in 2015. Cancer was the leading cause of death in 21% of counties in 2003 and 41% in 2015. The shift to cancer as the leading cause of death was greatest in the highest-income counties. Overall, heart disease mortality rates decreased by 28% (30% in high-income counties vs. 22% in low-income counties) from 2003 to 2015, and cancer mortality rates decreased by 16% (18% in high-income counties vs. 11% in low-income counties). In the lowest-income counties, heart disease remained the leading cause of death among all racial/ethnic groups, and improvements were smaller for both heart disease and cancer. Limitation: Use of county median household income as a proxy for socioeconomic status. Conclusion: Data show that heart disease is more likely to be the leading cause of death in low-income counties. Low-income counties have not experienced the same decrease in mortality rates as high-income counties, which suggests a later transition to cancer as the leading cause of death in low-income counties. Primary Funding Source: National Institute on Minority Health and Health Disparities.