In this study, we are exploring how couples who trying to have a baby get ready to become parents for the first time. We want to understand what they do to prepare before they get pregnant.

In this study, we want to find out if pregnant women who are mistreated because of their sex or race/ethnicity have health problems. We want to see if this unfair treatment is linked to their health problems. We also want to prevent high blood pressure and give better care to pregnant women.

Do you want to experience a nurturing, empowering and wellness-centered prenatal care that helps you reduce the chance of getting diabetes in pregnancy? Then the Targeted Lifestyle Change (TLC) Study might be for you! TLC is specially designed to help you learn how to eat, move, and live for two during pregnancy to explore whether we can reduce the risks of diabetes in pregnancy. Compensation provided.

The goal of this study is to gather more information on the experiences of LGBTQ+ individuals during the family planning process, specifically as they relate to elements of stress and social support. This study will include any LGBTQ+ individuals who have gone through any part of the family planning process, as well as people who work with LGBTQ+ individuals, including (but not limited to) doctors, doulas, lactation consultants, and legal professionals. This will provide groundwork to guide questions in future research on parent and child health in LGBTQ+ populations.

The focus of the research is on the challenges associated with achieving explainability in analytics and AI powered approaches applied in risk predictions in maternal health. As part of this research, we aim to conduct a usability study of an AI-driven postpartum depression risk assessment tool engaging healthcare providers - including doctors, nurses, and midwives - as participants. The usability study will assess healthcare provider's interactions and engagement with the web-based tool, measured by the System Explainability Scale (SES) Score, which quantifies its overarching Explainability, considering the dimensions of understandability, trust, and usability.

This study aims to understand how we can use fecal samples to measure cortisol levels in babies. Cortisol is used to measure stress biologically, and past research has used saliva or blood samples to do so. However, these measures can be hard to collect in infants, whereas diapers are relatively easy to obtain. We are aiming to determine whether cortisol in fecal samples changes throughout the day, like saliva or blood samples, or whether they are consistent like in urine. We will also use these data to investigate relationships between cortisol and composition of the gut microbiome, health, and infant distress. We are also measuring the composition of the skin microbiome to understand how the people a baby comes into contact with can affect their health.

If you are being considered for an EXIT procedure, you may be eligible to participate in our research study.

We would like to learn about how people who apply for healthcare financial assistance experience the application process, including things that make the application process work well or that were challenging. At this time we are not able to offer interviews to people who applied to UNC or Duke, we are interested in hearing from people who applied to other programs (such as Atrium, Novant, Wake, Vidant, ECU, Cape Fear Health Net, Physicians Reach Out, or Project Access).

In this study, we want to interview women with pregnancy Medicaid in North Carolina. We would like to learn what would help more people go to the dentist and get dental care during this time. That way, we can make suggestions for policy changes to help more people get the care they need.

During pregnancy, birthing people are at greater risk of experiencing depression and irritable mood. The goal of the BUMP Study is to learn more about how pregnancy hormones relate to irritability and brain activity.