Equity and the Hazard of Veiled Injustice: A Methodological Reflection on Risk Adjustment

Trends in the Use and Discussion of Race in Pediatrics Articles Over 75 Years

BACKGROUND AND OBJECTIVES

Race-based medicine, which falsely assumes that race is biological, is common in the published medical literature. We analyzed trends in the use of race in Pediatrics articles over a 75-year period.

METHODS

We analyzed a random sample of 50 original research articles published each decade in Pediatrics from 1948 to 2022.

RESULTS

Of 375 articles, 39% (n = 147) included race. Among articles, 85% (n = 116) used race only to describe study subjects, 7% (n = 9) described race as a social construct, and 11% (n = 15) described race as a biological construct. Only 7% (n = 10) of studies provided a reason for including race. Statements reflective of racial bias or discrimination were identified in 22% (n = 30) of the articles that mentioned race. Although statements concerning for explicit racial bias were uncommon, with none identified in the most recent decade, statements suggestive of implicit racial bias still occurred (22%, 5 of 23). Race was presented as a dichotomy, such as "white/nonwhite," in 9% of studies (n = 12). Regarding currently nonrecommended terminology, the term "minorities" was used in 13% of studies (n = 18); 25% of studies used the term "others" (n = 34), and among these, 91% (n = 31 of 34) did not provide any definition, an occurrence that increased over time at a rate of 0.9%/year.

CONCLUSIONS

Although there has been improvement over the past 75 years in the reporting of race in published studies in Pediatrics, significant opportunities for further improvement remain.

State-Level Indicators of Structural Racism and Severe Adverse Maternal Outcomes During Childbirth

OBJECTIVES

Structural racism (SR) is viewed as a root cause of racial and ethnic disparities in maternal health outcomes. However, evidence linking SR to increased odds of severe adverse maternal outcomes (SAMO) is scant. This study assessed the association between state-level indicators of SR and SAMO during childbirth.

METHODS

Data for non-Hispanic Black and non-Hispanic white women came from the US Natality file, 2017-2018. The exposures were state-level Black-to-white inequity ratios for lower education level, unemployment, and prison incarceration. The outcome was patient-level SAMO, including eclampsia, blood transfusion, hysterectomy, or intensive care unit admission. Adjusted odds ratios (aORs) of SAMO associated with each ratio were estimated using multilevel models adjusting for patient, hospital, and state characteristics.

RESULTS

A total of 4,804,488 birth certificates were analyzed, with 22.5% for Black women. SAMO incidence was 106.4 per 10,000 (95% CI 104.5, 108.4) for Black women, and 72.7 per 10,000 (95% CI 71.8, 73.6) for white women. Odds of SAMO increased 35% per 1-unit increase in the unemployment ratio for Black women (aOR 1.35; 95% CI 1.04, 1.73), and 16% for white women (aOR 1.16; 95% CI 1.01, 1.33). Odds of SAMO increased 6% per 1-unit increase in the incarceration ratio for Black women (aOR 1.06; 95% CI 1.03, 1.10), and 4% for white women (aOR 1.04; 95% CI 1.02, 1.06). No significant association was observed between SAMO and the lower education level ratio.

CONCLUSIONS FOR PRACTICE

State-level Black-to-white inequity ratios for unemployment and incarceration are associated with significantly increased odds of SAMO.

Hospital-level variation in rates of postpartum hemorrhage in California

BACKGROUND

To examine the extent of hospital-level variation in risk-adjusted rates of postpartum hemorrhage (PPH).

STUDY DESIGN AND METHODS

We performed a cross-sectional study examining live births in 257 California hospitals between 2011 and 2015 using linked birth certificate and maternal discharge data. PPH was measured using International Classification of Diseases Codes version 9. Mixed-effects logistic regression models were used to examine the presence and extent of hospital-level variation in PPH before and after adjustment for patient-level risk factors and select hospital characteristics (teaching status and annual delivery volume). Risk-adjusted rates of PPH were estimated for each hospital. The extent of hospital variation was evaluated using the median odds ratio (MOR) and intraclass correlation coefficient (ICC).

RESULTS

Our study cohort comprised 1,904,479 women who had a live birth delivery hospitalization at 247 hospitals. The median, lowest, and highest hospital-specific rates of PPH were 3.48%, 0.54%, and 12.0%, respectively. Similar rates were observed after adjustment for patient and hospital factors (3.44%, 0.60%, and 11.48%). After adjustment, the proportion of the total variation in PPH rates attributable to the hospital was low, with a MOR of 2.02 (95% confidence interval [CI]: 1.89-2.15) and ICC of 14.3% (95% CI: 11.9%-16.3%).

DISCUSSION

Wide variability exists in the rate of PPH across hospitals in California, not attributable to patient factors, hospital teaching status, and hospital annual delivery volume. Determining whether differences in hospital quality of care explain the unaccounted-for variation in hospital-level PPH rates should be a public health priority.