Objectives: Long-standing racial disparities, particularly between White and Black women, in maternal and birth outcomes necessitate an examination of the factors influencing these disparities. This study aimed to understand the experiences of women of color as they relate to pregnancy and/or birth complications to inform policy and strategy to decrease racial and ethnic health disparities. Methods: Six focus groups were conducted with women ( n = 31) who were identified as a woman of color, were 18 years or older, self-identified as having experienced pregnancy or birth complications after 2016, and who spoke English. A focus group guide co-created with the research team, community partners, and peer researchers from the local community was utilized to elicit discussions related to barriers, successes, and existing opportunities to provide equitable care and services to families throughout the perinatal period. An inductive and iterative approach to qualitative analyses of the focus group transcripts was used to identify key themes. Results: The seven themes identified include: lack of knowledge, mental health, communication with providers, support systems, representation, social determinants of health, and discrimination and stigma. Women shared a variety of experiences related to their health care from before pregnancy into their post-partum period, revealing many areas for improvement to extant systems. Conclusion: The inclusion of voices of the populations most deeply affected by health disparities is crucial to understanding how care and services provided can be improved. This analysis suggests the need for change at multiple levels of the health care and social services systems. These experiences provide valuable insight into some of the many struggles and barriers that women of color face during pregnancy and beyond.

The Health Opportunity Index (HOI) is a multivariate tool that can be more efficiently used to identify and understand the interplay of complex social determinants of health (SDH) at the census tract level that influences the ability to achieve optimal health. The derivation of the HOI utilizes the data-reduction technique of principal component analysis to determine the impact of SDH on optimal health at lower census geographies. In the midst of persistent health disparities and the present COVID-19 pandemic, we demonstrate the potential utility of using 13-input variables to derive a composite metric of health (HOI) score as a means to assist in the identification of the most vulnerable communities during the current pandemic. Using GIS mapping technology, health opportunity indices were layered by counties in Ohio to highlight differences by census tract. Collectively we demonstrate that our HOI framework, principal component analysis and convergence analysis methodology coalesce to provide results supporting the utility of this framework in the three largest counties in Ohio: Franklin (Columbus), Cuyahoga (Cleveland), and Hamilton (Cincinnati). The results in this study identified census tracts that were also synonymous with communities that were at risk for disparate COVID-19 related health outcomes. In this regard, convergence analyses facilitated identification of census tracts where different disparate health outcomes co-exist at the worst levels. Our results suggest that effective use of the HOI composite score and subcomponent scores to identify specific SDH can guide mitigation/intervention practices, thus creating the potential for better targeting of mitigation and intervention strategies for vulnerable communities, such as during the current pandemic.

African-American women living in the United States experience higher cardiovascular disease risk (CVD) mortality compared to White women. Unique mechanisms, including prolonged high-effort coping in the face of discriminatory stressors might contribute to these racial disparities. The John Henryism hypothesis is a conceptual framework used to explain poor health outcomes observed among individuals with low resources who repeatedly utilize active coping to overcome barriers. The aims of our study were to summarize the literature related to John Henryism and CVD-related factors with a particular focus on women and to identify gaps for areas of future inquiry. We searched MEDLINE, EMBASE, Scopus, and CINAHL to identify literature that used the John Henryism Active Coping scale. Reviewers independently reviewed eligible full-text study articles and conducted data extraction. We qualitatively summarized the literature related to John Henryism and cardiovascular disease (CVD)-related health behaviors (e.g., smoking or physical activity) and risk factors (e.g., hypertension) with a focus on study populations inclusive of women. Our review included 21 studies that used the John Henryism Active Coping scale, of which 10 explicitly reported on the interaction between John Henryism and socioeconomic status (SES) and CVD-related factors. With respect to the original hypothesis, three studies reported results in line with the hypothesis, four were null, and three reported findings in opposition to the hypothesis. The remaining studies included in the review examined the main effects of John Henryism, with similarly mixed results. The literature related to the interaction between John Henryism and SES on CVD-related factors among women is mixed. Additional studies of John Henryism that incorporate biological measures, varied indicators of resources, and larger study populations may illuminate the relationship between coping and deleterious health outcomes among women.

We expand on existing understandings of health disparities among middle-class African-Americans by examining how the postsecondary educational context gives rise to the unequal distribution of health. We use panel data (1994-2009) from the National Longitudinal Survey of Adolescent to Adult Health (Add Health) to estimate if the risk of developing metabolic syndrome by midlife significantly differs for African-Americans who attended Historically Black College or Universities (HBCUs) vs. predominantly White institutions (PWIs). We find that HBCU enrollment is associated with a 35% reduction in the odds of metabolic syndrome. Furthermore, we demonstrate that HBCU attendees who grew up in more segregated environments experienced the greatest reductions in the likelihood of developing metabolic syndrome. Our results underscore the important role that HBCUs play in the lives of African-Americans and suggest their impacts go far beyond traditional benchmarks of socioeconomic achievement to include key health outcomes.

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