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Introduction:The COVID-19 pandemic created an unprecedented need for population-level clinical trials focused on the discovery of life-saving therapies and treatments. However, there is limited information on perception of research participation among perinatal populations, a population of particular interest during the pandemic.Methods: Eligible respondents were 18 years or older, currently pregnant or had an infant (≤12 months old), and lived in Florida within 50 miles of sites participating in the OneFlorida Clinical Research Consortium. Respondents were recruited via Qualtrics panels between April and September 2020. Respondents completed survey items about barriers and facilitators to participation and answered sociodemographic questions.Results: Of 533 respondents, most were between 25-34 years of age (n=259, 49%) and identified as White (n=303, 47%) non-Hispanic (n=344, 65%). Facebook was the most popular social media platform among our respondents. The most common barriers to research participation included poor explanation of study goals, discomforts to the infant, and time commitment.Recruitment through healthcare providers was perceived as the best way to learn about clinical research studies. When considering research participation, 'myself' had the greatest influence, followed by familial ties. Non-invasive biological samples were highly acceptable. Hispanics had higher positive perspectives on willingness to participate in a randomized study (p=0.009).Education (p=0.007) had significant effects on willingness to release personal health information. Conclusion:When recruiting women during the pregnancy and postpartum periods for perinatal studies, investigators should consider protocols that account for common barriers and preferred study information sources. Social media-based recruitment is worthy of adoption.

Background Preeclampsia is a significant cause of maternal morbidity and mortality, affecting up to 8% of pregnancies globally. Although the precise etiology is still under study, the literature suggests that vascular changes reduce placental perfusion and affect the remodeling of spiral arteries to create the hallmark feature of preeclampsia: elevated blood pressure. Screening for preeclampsia is currently recommended for all pregnant women, particularly if risk factors exist. A noted risk factor codified in guidelines is “African-American race.” Content We summarize the racial disparities in preeclampsia incidence, morbidity, and mortality. We consider the limitations of using race to understand disparities by also examining multiethnic, immigration, and international studies. We then critically evaluate laboratory analytes associated with racial disparities of preeclampsia and explore other mechanisms of action, such as socioeconomic status, stress, and access to care. Summary Black and African-American women are consistently at higher risk of preeclampsia incidence, morbidity, and mortality than their white counterparts. Asian women are consistently at lower risk of preeclampsia, whereas the association for Hispanic women remains unclear. When these broad racial categories are subdivided by geographic or cultural origin, preeclampsia disparities within racial groups are identified. The limited literature suggests that sub-Saharan African immigrants tend to have a higher risk of preeclampsia than US-born white populations but a lower risk than US-born Black women. Existing studies seeking to identify racial differences in analytes have limited research designs and tend to operationalize race as a proxy for biologically inherent (i.e., genetic) differences between races despite a plethora of other possible explanatory mechanisms.

Background Electronic health records (EHRs) hold great potential for longitudinal mother-baby studies, ranging from assessing study feasibility to facilitating patient recruitment to streamlining study visits and data collection. Existing studies on the perspectives of pregnant and breastfeeding women on EHR use have been limited to the use of EHRs to engage in health care rather than to participate in research. Objective The aim of this study is to explore the perspectives of pregnant and breastfeeding women on releasing their own and their infants’ EHR data for longitudinal research to identify factors affecting their willingness to participate in research. Methods We conducted semistructured interviews with pregnant or breastfeeding women from Alachua County, Florida. Participants were asked about their familiarity with EHRs and EHR patient portals, their comfort with releasing maternal and infant EHR data to researchers, the length of time of the data release, and whether individual research test results should be included in the EHR. The interviews were transcribed verbatim. Transcripts were organized and coded using the NVivo 12 software (QSR International), and coded data were thematically analyzed using constant comparison. Results Participants included 29 pregnant or breastfeeding women aged between 22 and 39 years. More than half of the sample had at least an associate degree or higher. Nearly all participants (27/29, 93%) were familiar with EHRs and had experience accessing an EHR patient portal. Less than half of the participants (12/29, 41%) were willing to make EHR data available to researchers for the duration of a study or longer. Participants’ concerns about sharing EHRs for research purposes emerged in 3 thematic domains: privacy and confidentiality, transparency by the research team, and surrogate decision-making on behalf of infants. The potential release of sensitive or stigmatizing information, such as mental or sexual health history, was considered in the decisions to release EHRs. Some participants viewed the simultaneous use of their EHRs for both health care and research as potentially beneficial, whereas others expressed concerns about mixing their health care with research. Conclusions This exploratory study indicates that pregnant and breastfeeding women may be willing to release EHR data to researchers if researchers adequately address their concerns regarding the study design, communication, and data management. Pregnant and breastfeeding women should be included in EHR-based research as long as researchers are prepared to address their concerns.