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

Authors :
Magee, Laura A.
Strang, Amber
Li, Larry
Tu, Domena
Tumtaweetikul, Warancha
Craik, Rachel
Daniele, Marina
Etyang, Angela Koech
D'Alessandro, Umberto
Ogochukwu, Ofordile
Roca, Anna
Sevene, Esperança
Chin, Paulo
Tchavana, Corssino
Temmerman, Marleen
von Dadelszen, Peter
The PRECISE Network
Jah, Hawanatu
Oguchukwu, Ofordile
Prentice, Andrew
Source :
Reproductive Health; 4/30/2020 Supplement 1, Vol. 17 Issue 1, p1-13, 13p, 2 Charts, 1 Graph
Publication Year :
2020

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17424755
Volume :
17
Issue :
1
Database :
Complementary Index
Journal :
Reproductive Health
Publication Type :
Academic Journal
Accession number :
142998540
Full Text :
https://doi.org/10.1186/s12978-020-0873-8