Antenatal Health

3

Review clinical trials related to Antenatal Health. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Recruiting

Healthy Expectancy Through Routine Antenatal STI Screening

This study will evaluate whether routine screening and treatment for two common sexually transmitted infections, chlamydia and gonorrhoea, during pregnancy can reduce preterm birth and other poor birth outcomes in Botswana, and whether this approach is affordable and cost-effective for the health system. About 2,000 pregnant women attending their first antenatal care visit at up to 10 government clinics in Botswana will be invited to join the study. All women will first receive the usual antenatal care services provided in Botswana, including routine health checks and HIV and syphilis testing. Women who enroll in the study will be randomly assigned to one of two groups: 1. Standard of care group: Women receive routine antenatal care only. 2. Intervention group: In addition to routine antenatal care, women are screened for chlamydia and gonorrhoea using self-collected vaginal swabs at their first antenatal care visit and again in the third trimester. The main outcome of the study is whether screening and treating chlamydia and gonorrhoeae reduces preterm birth (before 37 weeks). Other outcomes include low birth weight, very preterm birth, and maternal health conditions.

Participants needed: 2,000
Trial details
Age: 15+Biological sex: FemaleType: InterventionalSponsor: Adriane WynnUpdated: Jul 2, 2026Locations: 1
Eligibility criteria

Asymptomatic for cervicovaginitis at first ANC (i.e., not syndromically treated... [+6]

Status: Recruiting

Partnering With Antenatal Navigators to Transform Health in Pregnancy

The Partnering with Antenatal Navigators to Transform Health in Pregnancy (PATH) study aims to evaluate whether an antenatal patient navigation program improves maternal health, neonatal health, pregnant women's experiences, and health care utilization outcomes among low-income pregnant women and their neonates. Patient navigation is an individualized, barrier-focused, longitudinal, patient-centered intervention that offers support for a defined set of health services. In this randomized controlled trial, pregnant women who are randomized to receive antenatal patient navigation will be compared to pregnant women who are randomized to receive usual care. Navigators will support pregnant women from before 20 weeks of gestation through 2 weeks postpartum. The PATH intervention will be grounded in understanding and addressing factors that influence health and access to care in order to promote self-efficacy, enhance access, and sustain long-term engagement. The main objectives of the study are to: 1. Evaluate whether PATH, compared to usual care, improves maternal health outcomes. We hypothesize the PATH model of antenatal patient navigation for low-income women will reduce the incidence of a composite of adverse maternal outcomes, all of which are known to be increased among women with barriers to care. 2. Evaluate whether PATH, compared to usual care, improves perinatal health outcomes. We hypothesize PATH will reduce the incidence of a composite of adverse perinatal outcomes. We will also investigate neonatal/pediatric health care utilization. 3. Evaluate patient, clinician, navigator, and healthcare system experiences with PATH in preparation for widespread implementation and dissemination of the PATH obstetric navigation model. This aim will be accomplished through investigating patient-reported outcomes, completing qualitative and process mapping interviews with navigated participants, and completing qualitative and process mapping interviews with clinicians, navigators, and health administrators.

Participants needed: 600
Trial details
Age: 16-50Biological sex: FemaleType: InterventionalSponsor: Northwestern UniversityUpdated: Apr 6, 2026Locations: 1
Eligibility criteria

Singleton gestation <20 weeks of gestation [+8]

Status: Not yet recruiting

AI-Powered CURAᵀᴹ Application for Identifying At-Risk Pregnancies in Obstetric Management

It is important to identify high pregnancies early through screening so that appropriate care and intervention may be instituted. An AI-assisted risk categorisation approach may be advantageous compared with traditional means of screening. The purpose of this study is to determine if the adoption of an AI-assisted approach in general pregnancy risk screening will improve the accuracy of antenatal risk categorization into high- and low- risk pregnancy groups, ultimately resulting in fewer poor maternal and fetal/neonatal outcomes.

Participants needed: 1,700
Trial details
Age: 21-50Biological sex: FemaleType: InterventionalSponsor: National University Hospital, SingaporeUpdated: Jul 15, 2025Locations: 1
Eligibility criteria

Age: 21 years old to 50 years old [+3]

Not proficient in the English language (AI intervention is only available in Eng...