The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database: open-access data collection in maternal and newborn health.

Journal: Reproductive health

Volume: 17

Issue: Suppl 1

Year of Publication: 2021

Affiliated Institutions:  Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Becket House, Room BH.., Lambeth Palace Road, London, SE EU, UK. Laura.A.Magee@kcl.ac.uk. Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Becket House, Room BH.., Lambeth Palace Road, London, SE EU, UK. Department of Obstetrics & Gynaecology, Faculty of Medicine, University of British Columbia, Vancouver, Canada. Centre of Excellence in Women & Child Health, East Africa, Aga Khan University, Nairobi, Kenya. Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia. Department of Physiological Science, Clinical Pharmacology, Faculty of Medicine, Universidade Eduardo Mondlane, Maputo, Mozambique. Centro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.

Abstract summary 

In less-resourced settings, adverse pregnancy outcome rates are unacceptably high. To effect improvement, we need accurate epidemiological data about rates of death and morbidity, as well as social determinants of health and processes of care, and from each country (or region) to contextualise strategies. The PRECISE database is a unique core infrastructure of a generic, unified data collection platform. It is built on previous work in data harmonisation, outcome and data field standardisation, open-access software (District Health Information System 2 and the Baobab Laboratory Information Management System), and clinical research networks. The database contains globally-recommended indicators included in Health Management Information System recording and reporting forms. It comprises key outcomes (maternal and perinatal death), life-saving interventions (Human Immunodeficiency Virus testing, blood pressure measurement, iron therapy, uterotonic use after delivery, postpartum maternal assessment within 48 h of birth, and newborn resuscitation, immediate skin-to-skin contact, and immediate drying), and an additional 17 core administrative variables for the mother and babies. In addition, the database has a suite of additional modules for 'deep phenotyping' based on established tools. These include social determinants of health (including socioeconomic status, nutrition and the environment), maternal co-morbidities, mental health, violence against women and health systems. The database has the potential to enable future high-quality epidemiological research integrated with clinical care and discovery bioscience.

Authors & Co-authors:  Magee Strang Li Tu Tumtaweetikul Craik Daniele Etyang D'Alessandro Ogochukwu Roca Sevene Chin Tchavana Temmerman von Dadelszen

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Alkema L, Chou D, Hogan D, Zhang S, Moller AB, Gemmill A, et al. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN maternal mortality estimation inter-agency group. Lancet. 2016;387(10017):462–474.
Authors :  17
Identifiers
Doi : 50
SSN : 1742-4755
Study Population
Women
Mesh Terms
Data Collection
Other Terms
DHIS2;Open-source;Placental disorders;Pregnancy;eRegistry
Study Design
Study Approach
Country of Study
Kenya
Publication Country
England