Asking MultiCrit Questions: A Reflexive and Critical Framework to Promote Health Data Equity for the Multiracial Population

Policy Points Health equity work primarily centers monoracial populations; however, the rapid growth of the Multiracial population and increasingly clear health disparities affecting the people in that population complicate our understanding of racial health equity. Limited resources exist for health researchers and professionals grappling with this complexity, likely contributing to the relative dearth of health literature describing the Multiracial population. We introduce a question-based framework built on core principles from Critical Multiracial Theory (MultiCrit) and Critical Race Public Health Praxis, designed for researchers, clinicians, and policymakers to encourage health data equity for the Multiracial population.

Racial differences in associations between adverse childhood experiences and physical, mental, and behavioral health

Purpose

Adverse childhood experiences (ACEs) are associated with poor adulthood health. Multiracial people have elevated mean ACEs scores and risk of several outcomes. We aimed to determine whether this group should be targeted for prevention efforts.

Methods

We analyzed three waves (1994-2009) of the National Longitudinal Study of Adolescent to Adult Health (n = 12,372) in 2023, estimating associations between four or more ACEs and physical (metabolic syndrome, hypertension, asthma), mental (anxiety, depression), and behavioral (suicidal ideation, drug use) outcomes. We estimated adjusted risk ratios for each outcome in modified Poisson models interacting race and ACEs. We used the interaction contrast to estimate race-specific excess cases per 1000 relative to Multiracial participants.

Results

Excess case estimates of asthma were smaller for White (-123 cases, 95% CI: -251, -4), Black (-141, 95% CI: -285, -6), and Asian (-169, 95% CI: -334, -7) participants compared to Multiracial participants. Black (-100, 95% CI: -189, -10), Asian (-163, 95% CI: -247, -79) and Indigenous (-144, 95% CI: -252, -42) participants had fewer excess cases of and weaker relative scale association with anxiety compared to Multiracial participants.

Conclusions

Adjusted associations with asthma and anxiety appear stronger for Multiracial people. Existing ACEs prevention strategies should be tailored to support Multiracial youth and families.

Clinical Presentation and Outcomes of Kawasaki Disease in Children from Latin America: A Multicenter Observational Study from the REKAMLATINA Network

OBJECTIVES

To describe the clinical presentation, management, and outcomes of Kawasaki disease (KD) in Latin America and to evaluate early prognostic indicators of coronary artery aneurysm (CAA).

STUDY DESIGN

An observational KD registry-based study was conducted in 64 participating pediatric centers across 19 Latin American countries retrospectively between January 1, 2009, and December 31, 2013, and prospectively from June 1, 2014, to May 31, 2017. Demographic and initial clinical and laboratory data were collected. Logistic regression incorporating clinical factors and maximum coronary artery z-score at initial presentation (between 10 days before and 5 days after intravenous immunoglobulin [IVIG]) was used to develop a prognostic model for CAA during follow-up (>5 days after IVIG).

RESULTS

Of 1853 patients with KD, delayed admission (>10 days after fever onset) occurred in 16%, 25% had incomplete KD, and 11% were resistant to IVIG. Among 671 subjects with reported coronary artery z-score during follow-up (median: 79 days; IQR: 36, 186), 21% had CAA, including 4% with giant aneurysms. A simple prognostic model utilizing only a maximum coronary artery z-score ≥2.5 at initial presentation was optimal to predict CAA during follow-up (area under the curve: 0.84; 95% CI: 0.80, 0.88).

CONCLUSION

From our Latin American population, coronary artery z-score ≥2.5 at initial presentation was the most important prognostic factor preceding CAA during follow-up. These results highlight the importance of early echocardiography during the initial presentation of KD.

A hypothetical intervention to reduce inequities in anxiety for Multiracial people: simulating an intervention on childhood adversity

Multiracial people report higher mean Adverse Childhood Experiences (ACEs) scores and prevalence of anxiety than other racial groups. Studies using statistical interactions to estimate racial differences in ACEs-anxiety associations do not show stronger associations for Multiracial people. Using data from Waves 1 (1995-97) through 4 (2008-09) of the National Longitudinal Study of Adolescent to Adult Health (Add Health), we simulated a stochastic intervention over 1,000 resampled datasets to estimate the race-specific cases averted per 1,000 of anxiety if all racial groups had the same exposure distribution of ACEs as Whites. Simulated cases averted were greatest for the Multiracial group, (median = -4.17 cases per 1,000, 95% CI: -7.42, -1.86). The model also predicted smaller risk reductions for Black participants (-0.76, 95% CI: -1.53, -0.19). CIs around estimates for other racial groups included the null. An intervention to reduce racial disparities in exposure to ACEs could help reduce the inequitable burden of anxiety on the Multiracial population. Stochastic methods support consequentialist approaches to racial health equity, and can encourage greater dialogue between public health researchers, policymakers, and practitioners.

Racial Differences in Associations Between Adverse Childhood Experiences and Physical, Mental, and Behavioral Health

Introduction

Adverse childhood experiences (ACEs) are associated with poor adulthood health, with individuals experiencing multiple ACEs at greatest risk. Multiracial people have high mean ACEs scores and elevated risk of several outcomes, but are infrequently the focus of health equity research. This study aimed to determine whether this group should be targeted for prevention efforts.

Methods

We analyzed Waves 1 (1994-95), 3 (2001-02), and 4 (2008-09) of the National Longitudinal Study of Adolescent to Adult Health (n = 12,372) in 2023, estimating associations between four or more ACEs and physical (metabolic syndrome, hypertension, asthma), mental (anxiety, depression), and behavioral (suicidal ideation, drug use) outcomes. We estimated risk ratios for each outcome in modified Poisson models with a race × ACEs interaction, adjusted for hypothesized confounders of the ACE-outcome relationships. We used the interaction contrast to estimate excess cases per 1,000 individuals for each group relative to Multiracial participants.

Results

Excess case estimates of asthma were significantly smaller for White (-123 cases, 95% CI: -251, -4), Black (-141, 95% CI: -285, -6), and Asian (-169, 95% CI: -334, -7) participants compared to Multiracial participants. Black (-100, 95% CI: -189, -10), Asian (-163, 95% CI: -247, -79) and Indigenous (-144, 95% CI: -252, -42) participants had significantly fewer excess cases of and weaker (p < 0.001) relative scale association with anxiety compared to Multiracial participants.

Conclusions

Adjusted associations between ACEs and asthma or anxiety appear stronger for Multiracial people than other groups. ACEs are universally harmful but may contribute disproportionately to morbidity in this population.

Impact of Racial Categorization on Effect Estimates: An HIV Stigma Analysis

Suboptimal racial categorization potentially introduces bias in epidemiologic analysis and interpretation, making it difficult to appropriately measure factors leading to racial health disparities. As part of an analysis focused on predictors of experiencing human immunodeficiency status (HIV)-related stigma among men who have sex with men living with HIV in San Francisco, we struggled with the most appropriate ways to categorize people who reported more than 1 racial identity, and we aimed to explore the implications of different methodological choices in this analysis. We fitted 3 different multivariable linear regression models, each utilizing a different approach to racial categorization: the "multiracial," "othering," and "hypodescent" models. We estimated an adjusted risk difference in mean score for reported frequency of experiencing HIV-related stigma on a 4-point scale, adjusting for age, race, gender identity, injection history, housing, mental health concerns, and viral load. Use of a hypodescent model for racial categorization led to a shift in the point estimate through the null for Blacks/African Americans, and it improved precision for that group. However, it obscured the association of increased stigma and race for multiracial people, compared with monoracial counterparts. We conclude that methodological decisions related to racial categorization of participants can dramatically affect race-related study findings in predictor regression models.

Severe Acute Respiratory Syndrome Coronavirus 2 and Respiratory Virus Sentinel Surveillance, California, USA, May 10, 2020-June 12, 2021

State and local health departments established the California Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Respiratory Virus Sentinel Surveillance System to conduct enhanced surveillance for SARS-CoV-2 and other respiratory pathogens at sentinel outpatient testing sites in 10 counties throughout California, USA. We describe results obtained during May 10, 2020‒June 12, 2021, and compare persons with positive and negative SARS-CoV-2 PCR results by using Poisson regression. We detected SARS-CoV-2 in 1,696 (19.6%) of 8,662 specimens. Among 7,851 specimens tested by respiratory panel, rhinovirus/enterovirus was detected in 906 (11.5%) specimens and other respiratory pathogens in 136 (1.7%) specimens. We also detected 23 co-infections with SARS-CoV-2 and another pathogen. SARS-CoV-2 positivity was associated with male participants, an age of 35-49 years, Latino race/ethnicity, obesity, and work in transportation occupations. Sentinel surveillance can provide useful virologic and epidemiologic data to supplement other disease monitoring activities and might become increasingly useful as routine testing decreases.

Assessment tool for establishing local pharmaceutical manufacturing in low- and middle-income countries

OBJECTIVE

In many low- and middle-income countries (LMICs), limited availability, substandard quality and high prices of pharmaceutical products lead to lack of access to essential medicines and poor health outcomes. Manufacturing pharmaceuticals in LMICs may improve access for patients while increasing the market size for manufacturers.

METHODS

We present a tool for assessment of local manufacturing feasibility of pharmaceuticals, intended for use among key stakeholders during the business development process. The tool consists of five domains: product selection and capacity, market sizing, market entry, funding and quality assurance.

KEY FINDINGS

The tool is intended to identify barriers and facilitators for local manufacturing and provide a roadmap for decision-making across multiple stakeholders. A case study in Namibia identified key barriers and facilitators to successful manufacturing in that county.

CONCLUSIONS

Careful consideration of feasibility and potential for success may lead to improved health for the populations of LMIC as well as significant market potential for pharmaceutical manufacturers.