Inequities in Chlamydia trachomatis Screening Between Black and White Adolescents in a Large Pediatric Primary Care Network, 2015–2019

Objectives. To identify associations between patient race and annual chlamydia screening among adolescent females. Methods. We performed a retrospective cohort study of females aged 15 to 19 years in a 31-clinic pediatric primary care network in Pennsylvania and New Jersey from 2015 through 2019. Using mixed-effect logistic regressions, we estimated associations between annual chlamydia screening and patient (race/ethnicity, age, previous chlamydia screening and infection, insurance type) and clinic (size, setting) characteristics. We decomposed potential effects of clinician’s implicit racial bias and screening, using covariates measuring the proportion of Black patients in each clinician’s practice. Results. There were 68 935 well visits among 37 817 females, who were 28.8% Black and 25.8% Medicaid insured. The mean annual chlamydia screening rate was 11.1%. Black females had higher odds of screening (adjusted odds ratio [AOR] = 1.67; 95% confidence interval [CI] = 1.51, 1.84) than did White females. In the clinician characteristics model, individual clinicians were more likely to screen their Black versus non-Black patients (AOR = 1.88; 95% CI = 1.65, 2.15). Conclusions. Racial bias may affect screening practices and should be addressed in future interventions, given the critical need to increase population-level chlamydia screening.(Am J Public Health. 2022;112(1):135–143. https://doi.org/10.2105/AJPH.2021.306498 )

Estimating the effects of race and social vulnerability on hospital admission and mortality from COVID-19

Objective To estimate the risk of hospital admission and mortality from COVID-19 to patients and measure the association of race and area-level social vulnerability with those outcomes. Materials and Methods Using patient records collected at a multisite hospital system from April 2020 to October 2020, the risk of hospital admission and the risk of mortality were estimated for patients who tested positive for COVID-19 and were admitted to the hospital for COVID-19, respectively, using generalized estimating equations while controlling for patient race, patient area-level social vulnerability, and time course of the pandemic. Results Black individuals were 3.57 as likely (95% CI, 3.18–4.00) to be hospitalized than White people, and patients living in the most disadvantaged areas were 2.61 times as likely (95% CI, 2.26–3.02) to be hospitalized than those living in the least disadvantaged areas. While Black patients had lower raw mortality than White patients, mortality was similar after controlling for comorbidities and social vulnerability. Discussion Our findings point to potent correlates of race and socioeconomic status, including resource distribution, employment, and shared living spaces, that may be associated with inequitable burden of disease across patients of different races. Conclusions Public health and policy interventions should address these social factors when responding to the next pandemic.