Antenatal and Postnatal Care Research Collective - Household Survey (ARCH)

Launched by UNIVERSITY OF NORTH CAROLINA, CHAPEL HILL · Nov 29, 2021

Keywords

ClinConnect Summary

The Antenatal and Postnatal Care Research Collective (ARCH) Survey is a clinical trial taking place in Lusaka, Zambia. The main goal of this study is to gather information about pregnancy rates and outcomes in women of reproductive age, which means women between the ages of 15 and 49. The researchers want to understand how different factors, like social and health conditions, affect pregnancy and its outcomes. This information will help improve maternal health care for women in the area.

To participate in the study, women need to be part of a household in the study area and must be willing to give their consent. The process starts by getting permission from the head of the household, who is usually an adult over 18. After that, eligible women will be invited to join the study and undergo some screening procedures. Participants can expect to answer questions and provide information that will help researchers understand pregnancy better. Overall, this study is important for improving the health of mothers and their babies in the community.

Gender

ALL

Eligibility criteria

• • We will initially obtain verbal consent from the head of household (HoH), defined as an available adult (\> 18 years old) who is able to provide information about household composition for pre-screening purposes. We will then identify potentially eligible women of reproductive age within each household and invite them to complete study screening procedures.
• • Women of reproductive age eligibility criteria
• Inclusion criteria:
• • Verbal consent obtained from head-of-household
• • 15-49 years of age and a member of household in the catchment area
• • Willing and able to provide written informed consent or assent with next-of-kin consent
• • Willing to undergo study procedures
• Exclusion criteria:
• • Any other condition (social or medical) that, in the opinion of the study staff, would make participation unsafe or complicate data interpretation. Study staff may note physical, psychological, or social conditions not explicitly stated in the eligibility criteria that could make some women poor candidates for study participation.