학술논문
The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database: open-access data collection in maternal and newborn health
Document Type
Medical condition overview
Author
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; Jah, Hawanatu; Oguchukwu, Ofordile; Prentice, Andrew; Martinez-Alvarez, Melisa; Diallo, Brahima; Sesey, Adbul; Lette, Kodou; Bah, Alpha; Sanyang, Chilel; Musitia, Peris; Amondi, Mary; Chege, David; Okiro, Patricia; Omuse, Geoffrey; Wanyonyi, Sikolia; Macuacua, Salesio; Vala, Anifa; Boene, Helena; Quimice, Lazaro; Maculuve, Sonia; Macete, Eusebio; Mandomando, Inacio; Carillho, Carla; Flint-O'Kane, Meriel; Russell, Donna; Makanga, Tatenda; Makacha, Liberty; Dube, Yolisa; Nyapwere, Newton; Poston, Lucilla; Sandall, Jane; Tribe, Rachel; Shennan, Andrew; Moore, Sophie; Salisbury, Tatiana; Barratt, Ben; Chappell, Lucy; Beevers, Sean; Bramham, Kate; Papageorgiou, Aris; Noble, Alison; Blencowe, Hannah; Filippi, Veronique; Lawn, Joy; Silver, Matt; Chico, Matthew; Cartwright, Judith; Whitley, Guy; Krishna, Sanjeev; Vidler, Marianne; Li, Jing ( Larry); Bone, Jeff; Woo Kinshella, Mai-Lei ( Maggie); Payne, Beth A.; Stones, William
Source
Reproductive Health. April 30, 2020, Vol. 17 Issue Suppl 1
Subject
Language
English
ISSN
1742-4755
Abstract
Author(s): Laura A. Magee[sup.1], Amber Strang[sup.1], Larry Li[sup.2], Domena Tu[sup.2], Warancha Tumtaweetikul[sup.2], Rachel Craik[sup.1], Marina Daniele[sup.1], Angela Koech Etyang[sup.3], Umberto D'Alessandro[sup.4], Ofordile Ogochukwu[sup.4], Anna Roca[sup.4], Esperança Sevene[sup.5,6], Paulo Chin[sup.6], Corssino [...]
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. Keywords: Open-source, Pregnancy, DHIS2, Placental disorders, eRegistry
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. Keywords: Open-source, Pregnancy, DHIS2, Placental disorders, eRegistry