What are the real-world patterns of anti-seizure medication use during pregnancy?
What factors are associated with SSRI discontinuation during pregnancy?
How does biologic and immunosuppressant exposure during pregnancy among women with autoimmune conditions relate to perinatal outcomes?
How do OTC analgesic use patterns vary by trimester and dosage?
How does metformin or insulin use relate to outcomes in gestational or pre-gestational diabetes?
How does anti-nausea medication use relate to symptom progression and outcomes?
What are the real-world patterns of thyroid medication use and adjustment during pregnancy?
What predicts whether a pregnant person seeks care for a symptom versus manages it at home?
How do wearable-derived biometric signals during pregnancy correlate with symptom burden and perinatal outcomes?
How does patient-reported anxiety and depression severity change across trimesters?
How does symptom burden differ across demographic and clinical subgroups?
What factors are associated with unplanned deviation from birth plan preferences?
How does week-to-week symptom burden relate to quality of life during pregnancy?
How does the timing of specific exposures influence pregnancy outcomes?
What gaps exist between patient-reported symptoms and clinical documentation?
How do care models driven by OB-GYNs, midwives, or multi-provider models relate to patient delivery experience?
How does gestational weight gain trajectory relate to patient-reported quality of life?
How does prenatal care frequency and type relate to patient-reported experience and outcomes?
How does delivery experience vary across demographic groups and clinical risk profiles?
How do combinations of medication exposures interact to influence pregnancy risk?
How does exercise type, frequency, and intensity during pregnancy relate to complication incidence and outcomes?
What is the relationship between first-trimester nausea severity and pregnancy outcomes?
How does sleep disruption during pregnancy relate to postpartum recovery and mood?
What real-world supplement use patterns exist across trimesters, and what outcomes are associated?
Which prenatal vitamin formulations and dosing protocols are associated with adequate micronutrient sufficiency across trimesters?
What is the minimum number of prenatal doula visits associated with measurable delivery outcome improvements?
What are the real-world patterns of caffeine consumption across trimesters, and how do they relate to self-reported symptoms and outcomes?
People
THE PREGNANCY DATA YOU'VE BEEN MISSING
We partner with organizations working to advance maternal health, build evidence-backed women’s health innovations, and improve pregnancy outcomes.
If you're working on a question that the Pregnancy Evidence Project or our observational research infrastructure can help answer, we’d love to hear from you.
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Enabling researchers & women’s health innovators across sectors

WHO WE WORK WITH
We partner with organizations wherever rigorous pregnancy research is being done — or needs to be.

Biopharma & life sciences

Pharmaceutical and biotech organizations working on pregnancy safety profiles, drug labeling, or real-world maternal outcomes data for approved drugs.

Consumer health & wellness

Supplement brands, wearable technologies, and wellness platforms whose products support pregnant women, and need real-world evidence to demonstrate how they perform.

Academic research

Investigators and research teams studying maternal health, perinatal outcomes, medication safety, care delivery models, or social determinants of pregnancy experience.

Digital health

Platforms and digital health protocols serving pregnant people aiming to validate product efficacy, augment internal data with real world context, or support regulatory or payer conversations.

Fertility & perinatal care delivery

Fertility clinics, obstetric practices, midwifery networks, and doula programs working to understand how care delivery decisions relate to maternal experience, outcomes, and satisfaction.

Public health

Programs and organizations tracking population-level trends in pregnancy outcomes, maternal mortality, disparities in care access, or the upstream factors that shape who gets what care.

Partnership models

EVIDENCE PROJECT DATA ACCESS
Approved projects can access longitudinal, de-identified data from our participant cohort — patient-reported symptoms, exposures, medications, care decisions, and outcomes — under a formal data use agreement.
BRING YOUR OWN RESEARCH QUESTION
Need something specific or novel? We support research design and targeted sub-studies or cohorts within the existing framework of the Evidence Project, for projects with unique needs or distinct participant populations.
CUSTOM PROJECTS
Envisioning another way to partner with the Pregnancy Evidence Project? Reach out to the team to see how the Project can support your maternal health research goals.

Working on a question we might help answer?

Reach out to the team at partnerships@zenithhealth.io or connect with us below to get started.
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