BackgroundDespite decades of efforts to eliminate tuberculosis (TB) in the United States (US), TB still contributes to adverse ill health, especially among racial/ethnic minorities. According to the Centers for Disease Control and Prevention, in 2016, about 87% of the TB cases reported in the US were among racial and ethnic minorities. The objective of this study is to explore the risks for pregnancy complications and in-hospital death among mothers diagnosed with TB across racial/ethnic groups in the US.MethodsThis retrospective cohort study utilized National Inpatient Sample data for all inpatient hospital discharges in the US. We analyzed pregnancy-related hospitalizations and births in the US from January 1, 2002 through December 31, 2014 (n = 57,393,459). Multivariable logistic regression was applied to generate odds ratios for the association between TB status and the primary study outcomes (i.e., pregnancy complications and in-hospital death) across racial/ethnic categories.ResultsThe prevalence of TB was 7.1 per 100,000 pregnancy-related hospitalizations. The overall prevalence of pregnancy complications was 80% greater among TB-infected mothers than their uninfected counterparts. Severe pre-eclampsia, eclampsia, placenta previa, post-partum hemorrhage, sepsis and anemia occurred with greater frequency among mothers with a TB diagnosis than those without TB, irrespective of race/ethnicity. The rate of in-hospital death among TB patients was 37 times greater among TB-infected than in non-TB infected mothers (468.8 per 100,000 versus 12.6 per 100,000). A 3-fold increased risk of in-hospital death was observed among black TB-negative mothers compared to their white counterparts. No racial/ethnic disparities in maternal morbidity or in-hospital death were found among mothers with TB disease.ConclusionTB continues to be an important cause of morbidity and mortality among pregnant women in the US. Resources to address TB disease should also target pregnant women, especially racial/ethnic minorities who bear the greatest burden of the disease.

Objective Opioid use during pregnancy has increased in recent years, parallel with the opioid epidemic in the general population. Opioids are commonly used as an analgesic for pain crisis, a hallmark symptom of sickle cell disease (SCD). With the amplified frequency and severity of SCD pain crisis during pregnancy, the use of opioids may increase concurrently. The aim of this study was to examine trends in opioid-related disorders (ORDs) among pregnant women with and without SCD, as well as assess the risk for preterm labor, maternal sepsis, and poor fetal growth among patients with SCD and ORD. Methods We conducted a retrospective analysis of inpatient pregnancy- and childbirth-related hospital discharge data from the 2002–2014 National (Nationwide) Inpatient Sample database. The primary outcome was the risk of ORD in pregnant women with SCD and its impact on threatened preterm labor, fetal growth, and maternal sepsis. Results Among the >57 million pregnancy-related hospitalizations examined, 9.6 per 10,000 had SCD. ORD in mothers with SCD was four times as prevalent as in those without SCD (2% vs 0.5%). A significant rise in ORD occurred throughout the study period and was associated with an increased risk of maternal sepsis, threatened preterm labor, and poor fetal growth. Conclusions Pregnant women with SCD have a fourfold increased risk of ORD compared with their non-SCD counterparts. The current opioid epidemic continues to worsen in both groups, warranting a tailored and effective public health response to reduce the resulting adverse pregnancy outcomes.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent for coronavirus disease 2019 (COVID-19), and its ensuing mitigation measures have negatively affected the Maternal and Child Health (MCH) population. There is currently no surveillance system established to enhance our understanding of SARS-CoV-2 transmission to guide policy decision making to protect the MCH population in this pandemic. Based on reports of community and household spread of this novel infection, we present an approach to a robust family-centered surveillance system for the MCH population. The surveillance system encapsulates data at the individual and community levels to inform stakeholders, policy makers, health officials and the general public about SARS-CoV-2 transmission dynamics within the MCH population. Key words: • COVID-19 • Coronavirus • Maternal and child health • Family-centered • Surveillance system • Individual level data elements • Community level data elements • Community transmission of SARS-CoV-2   Copyright © 2020 Ajewole et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited.

Currently, there is an insufficient representation of racial/ethnic minority groups in the maternal and child health (MCH) workforce. A student-run outreach organization, the Global Alliance for Maternal and Child Health (GLAM), seeks to address this disparity by increasing the representation of racial/ethnic minority groups in MCH workforce. Founded by students at Texas Southern University in Houston, Texas, United States, GLAM, seeks to establish productive alliances and create programs that would help improve the well-being of mothers, infants, and children locally, nationally, and internationally by engaging an active cadre of students passionate about MCH. Through community outreach and global engagement using evidence-based strategies, GLAM is committed to the elimination of health disparities plaguing the MCH population. Key words: • Maternal and Child Health • Pipeline program • Students-driven • Community outreach • Global engagement   Copyright © 2021 Harris et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited.