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Published in: BMC Pregnancy and Childbirth 1/2020

01-12-2020 | Mood Disorders | Study protocol

The Rajarata Pregnancy Cohort (RaPCo): study protocol

Authors: Thilini Chanchala Agampodi, Nuwan Darshana Wickramasinghe, Rampathige Indika Ruwan Prasanna, Malawara Kankanamalage Lasandha Irangani, Jayasundara Mudiyanselage Samarakoon Banda, Pradana Mudiyanselage Bandula Jayathilake, Ayesh Hettiarachchi, Gayani Amarasinghe, Imasha Jayasinghe, Iresha Koralagedara, Sajaan Praveena Gunarathne, Sujanthi Wickramage, Janith Warnasekara, Niroshan Lokunarangoda, Vasana Mendis, Ajith Kumara Dissanayaka, Jagath Premadasa, Nandana Hettigama, Dayaratne Koralagedara, Manjula Weerasinghe, Krishanthi Malawanage, Hemali Jayakodi, Anuprabha Wickramasinghe, Suneth Buddhika Agampodi

Published in: BMC Pregnancy and Childbirth | Issue 1/2020

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Abstract

Background

Ending preventable maternal deaths remains a global priority and in the later stages of obstetric transition, identifying the social determinants of maternal health outcomes is essential to address stagnating maternal mortality rates. Countries would hardly achieve the Sustainable Development Goal (SGD) targets on maternal health, unless the complex and context-specific socio-economic aetiologies associated with maternal mental health and suicide are identified. The Rajarata Pregnancy Cohort (RaPCo) is a prospective cohort study, designed to explore the interactions between social determinants and maternal mental health in determining pregnancy and new-born outcomes.

Methods

The study will recruit all eligible pregnant women in the maternal care programme of Anuradhapura district, Sri Lanka from July to September 2019. The estimated sample size is 2400. We will assess the socio-demographic and economic status, social capital, gender-based violence and mental health, including a clinical examination and biochemical investigations during the first trimester. Participants will undergo four follow-ups at 2nd and 3rd trimesters, at delivery and in early postpartum. The new-borns will be followed up at birth, neonatal period, at 6 six months and at 1 year. Pregnancy and child outcome data will be collected using direct contact. Qualitative studies will be carried out to understand the complex social factors and behavioural dimensions related to abortion, antenatal depression, maternal deaths and near misses.

Discussion

This is the first reported maternal cohort in Sri Lanka focusing on social determinants and mental health. As a country in stage four of obstetric transition, these findings will provide generalizable evidence on achieving SGD targets in low- and middle-income countries. The study will be conducted in a district with multi-cultural, multi-ethnic and diverse community characteristics; thus, will enable the evidence generated to be applied in many different contexts. The study also possesses the strength of using direct participant contact, data collection, measurement, examination and biochemical testing to minimise errors in routinely collected data. The RaPCo study will be able to generate evidence to strengthen policies to further reduce maternal deaths in the local, regional and global contexts particularly focusing on social factors and mental health, which are not optimally addressed in the global agenda.
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Metadata
Title
The Rajarata Pregnancy Cohort (RaPCo): study protocol
Authors
Thilini Chanchala Agampodi
Nuwan Darshana Wickramasinghe
Rampathige Indika Ruwan Prasanna
Malawara Kankanamalage Lasandha Irangani
Jayasundara Mudiyanselage Samarakoon Banda
Pradana Mudiyanselage Bandula Jayathilake
Ayesh Hettiarachchi
Gayani Amarasinghe
Imasha Jayasinghe
Iresha Koralagedara
Sajaan Praveena Gunarathne
Sujanthi Wickramage
Janith Warnasekara
Niroshan Lokunarangoda
Vasana Mendis
Ajith Kumara Dissanayaka
Jagath Premadasa
Nandana Hettigama
Dayaratne Koralagedara
Manjula Weerasinghe
Krishanthi Malawanage
Hemali Jayakodi
Anuprabha Wickramasinghe
Suneth Buddhika Agampodi
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Pregnancy and Childbirth / Issue 1/2020
Electronic ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-020-03056-x

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