TY - JOUR
T1 - The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database
T2 - Open-access data collection in maternal and newborn health
AU - PRECISE Network
AU - Magee, Laura A.
AU - Strang, Amber
AU - Li, Larry
AU - Tu, Domena
AU - Tumtaweetikul, Warancha
AU - Craik, Rachel
AU - Daniele, Marina
AU - Etyang, Angela Koech
AU - D'Alessandro, Umberto
AU - Ogochukwu, Ofordile
AU - Roca, Anna
AU - Sevene, Esperança
AU - Chin, Paulo
AU - Tchavana, Corssino
AU - Temmerman, Marleen
AU - Von Dadelszen, Peter
AU - Jah, Hawanatu
AU - Oguchukwu, Ofordile
AU - Prentice, Andrew
AU - Martinez-Alvarez, Melisa
AU - Diallo, Brahima
AU - Sesey, Adbul
AU - Lette, Kodou
AU - Bah, Alpha
AU - Sanyang, Chilel
AU - Musitia, Peris
AU - Amondi, Mary
AU - Chege, David
AU - Okiro, Patricia
AU - Omuse, Geoffrey
AU - Wanyonyi, Sikolia
AU - MacUacua, Salesio
AU - Vala, Anifa
AU - Boene, Helena
AU - Quimice, Lazaro
AU - MacUluve, Sonia
AU - MacEte, Eusebio
AU - Mandomando, Inacio
AU - Carillho, Carla
AU - Flint-O'kane, Meriel
AU - Russell, Donna
AU - Makanga, Tatenda
AU - Makacha, Liberty
AU - Dube, Yolisa
AU - Nyapwere, Newton
AU - Poston, Lucilla
AU - Sandall, Jane
AU - Tribe, Rachel
AU - Shennan, Andrew
AU - Moore, Sophie
N1 - Publisher Copyright:
© 2020 The Author(s).
PY - 2020/4/30
Y1 - 2020/4/30
N2 - 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.
AB - 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.
KW - DHIS2
KW - Open-source
KW - Placental disorders
KW - Pregnancy
KW - eRegistry
UR - http://www.scopus.com/inward/record.url?scp=85084349412&partnerID=8YFLogxK
U2 - 10.1186/s12978-020-0873-8
DO - 10.1186/s12978-020-0873-8
M3 - Article
C2 - 32354365
AN - SCOPUS:85084349412
SN - 1742-4755
VL - 17
JO - Reproductive Health
JF - Reproductive Health
M1 - 50
ER -