Community level factors and racial inequities in delivery hospitalizations involving severe maternal morbidity in the United States, 2016-2019.

The objective of this study was to evaluate the racial and ethnic disparities in delivery hospitalizations involving severe maternal morbidity (SMM) by location of residence and community income. We used the 2016 to 2019 Healthcare Cost and Utilization Project National Inpatient Sample. International Classification of Diseases, Tenth Revision, Clinical Modification codes were used to identify delivery hospitalizations with SMM. Using logistic regression models, we examined the association between race and ethnicity and delivery hospitalizations involving SMM. In adjusted analyses, the models were stratified by location of residence and community income and adjusted for patient and hospital characteristics. In rural areas, non-Hispanic Black women (AOR 1.50; 95% CI 1.25-1.79) and women of other races (AOR 1.32; 95% CI 1.03-1.69) had an increased odds of experiencing a delivery hospitalization involving SMM when compared to non-Hispanic White women. In micropolitan areas, non-Hispanic Black women (AOR 1.88; 95% CI 1.79-1.97), non-Hispanic Asian/Pacific Islander women (AOR 1.54; 95% CI 1.16-2.05), and women of other races (AOR 1.31; 95% CI 1.03-1.67) had an increased odds of experiencing a delivery hospitalization involving SMM when compared to non-Hispanic White women. Non-Hispanic Black women also had increased odds of experiencing a delivery hospitalization involving SMM in communities with the lowest income (quartile 1) (AOR 1.59; 95% CI 1.49-1.66), middle income (quartiles 2 and 3) (AOR 1.81; 95% CI 1.72-1.91), and highest income (AOR 2.09; 95% CI 1.90-2.29) when compared to non-Hispanic White women. We found that location of residence and community income are associated with racial and ethnic differences in SMM in the United States. These factors, outside of individual factors assessed in previous studies, provide a better understanding of some of the structural and systemic factors that may contribute to SMM.

Using mHealth to reduce disparities in Black maternal health: Perspectives from Black rural postpartum mothers.

BACKGROUND: Racial disparities are evident in maternal morbidity and mortality rates globally. Black women are more likely to die from pregnancy and childbirth than any other race or ethnicity. This leaves one of the largest gaps in women's health to date. OBJECTIVES: mHealth interventions that connect with women soon after discharge may assist in individualizing and formalizing support for mothers in the early postpartum period. To aid in developing an mHealth application, Black postpartum mothers' perspectives were examined. DESIGN: Utilizing the Sojourner Syndrome Framework and Maternal Mortality & Morbidity Measurement Framework, group interview discussion guides were developed to examine the facilitators and barriers of postpartum transitional care for rural Black women living in the United States to inform the development of a mobile health application. METHODS: In this study, seven group interviews were held with Black mothers, their support persons, and healthcare providers in rural Georgia to aid in the development of the Prevent Maternal Mortality Using Mobile Technology (PM3) mobile health (mHealth) application. Group interviews included questions about (1) post-birth experiences; (2) specific needs (e.g. clinical, social support, social services, etc.) in the postpartum period; (3) perspectives on current hospital discharge processes and information; (4) lived experiences with racism, classism, and/or gender discrimination; and (5) desired features and characteristics for the mobile app development. RESULTS: Fourteen out of the 78 screened participants were eligible and completed the group interview. Major discussion themes included: accessibility to healthcare and resources due to rurality, issues surrounding race and perceived racism, mental and emotional well-being in the postpartum period, and perspectives on the PM3 mobile application. CONCLUSION: Participants emphasized the challenges that postpartum Black women face in relation to accessibility, racism and discrimination, and mental health. The women favored a culturally relevant mHealth tool and highlighted the need to tailor the application to address disparities.

Examining the Perceptions of mHealth on Racial and Ethnic Disparities in Postpartum Health for Black Women: A Scoping Review.

Background. Several disparities exist for Black mothers during the postpartum period, including but not limited to increased maternal mortality and morbidity rates, decreased access to care, and limited access to resources. Given the racial discrepancies in attention to postpartum care, coupled with the critical importance of the postpartum period for preventing adverse maternal health outcomes, research is warranted to explore how mobile health (mHealth) applications may help to alleviate maternal health disparities by optimizing postpartum care and addressing barriers to care for postpartum Black women. Thus, this review examines the perceptions of mHealth applications and their utility in health outcomes among postpartum Black women. Methods. We undertook a comprehensive literature search using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We included peer-reviewed articles published between 2010 and 2022 that were written in English, utilized mHealth as a primary intervention, and focused on postpartum health and access to resources, primarily among Black women in the United States. Results. A total of eight articles were included in our synthesis, encompassing mobile phone-based interventions for Black women. Cultural tailoring was included in five studies. Interventions that incorporated tailored content and fostered interactions reported high rates of follow-up. Conclusions. Tailored mHealth interventions can effectively promote behavior change and improve health care outcomes for Black women. However, there is a critical need for more research to assess user engagement and retention and whether these improvements indicate long-term sustainability.