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

Research output: Contribution to journalArticlepeer-review

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

In: Reproductive Health, Vol. 17, 50, 30.04.2020.

Research output: Contribution to journalArticlepeer-review

Harvard

PRECISE Network 2020, 'The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database: Open-access data collection in maternal and newborn health', Reproductive Health, vol. 17, 50. https://doi.org/10.1186/s12978-020-0873-8

APA

PRECISE Network (2020). The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database: Open-access data collection in maternal and newborn health. Reproductive Health, 17, [50]. https://doi.org/10.1186/s12978-020-0873-8

Vancouver

PRECISE Network. The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database: Open-access data collection in maternal and newborn health. Reproductive Health. 2020 Apr 30;17. 50. https://doi.org/10.1186/s12978-020-0873-8

Author

PRECISE Network. / The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database : Open-access data collection in maternal and newborn health. In: Reproductive Health. 2020 ; Vol. 17.

Bibtex Download

@article{3591e05efddf4a5895ed05525465839a,
title = "The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database: Open-access data collection in maternal and newborn health",
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.",
keywords = "DHIS2, eRegistry, Open-source, Placental disorders, Pregnancy",
author = "{PRECISE Network} and Magee, {Laura A.} and Amber Strang and Larry Li and Domena Tu and Warancha Tumtaweetikul and Rachel Craik and Marina Daniele and Etyang, {Angela Koech} and Umberto D'Alessandro and Ofordile Ogochukwu and Anna Roca and Esperan{\c c}a Sevene and Paulo Chin and Corssino Tchavana and Marleen Temmerman and {Von Dadelszen}, Peter and Hawanatu Jah and Ofordile Oguchukwu and Andrew Prentice and Melisa Martinez-Alvarez and Brahima Diallo and Adbul Sesey and Kodou Lette and Alpha Bah and Chilel Sanyang and Peris Musitia and Mary Amondi and David Chege and Patricia Okiro and Geoffrey Omuse and Sikolia Wanyonyi and Salesio MacUacua and Anifa Vala and Helena Boene and Lazaro Quimice and Sonia MacUluve and Eusebio MacEte and Inacio Mandomando and Carla Carillho and Meriel Flint-O'kane and Lucilla Poston and Jane Sandall and Rachel Tribe and Andrew Shennan and Sophie Moore and Tatiana Salisbury and Ben Barratt and Lucy Chappell and Sean Beevers and Kate Bramham",
year = "2020",
month = apr,
day = "30",
doi = "10.1186/s12978-020-0873-8",
language = "English",
volume = "17",
journal = "Reproductive Health",
issn = "1742-4755",
publisher = "BioMed Central",

}

RIS (suitable for import to EndNote) Download

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 - Poston, Lucilla

AU - Sandall, Jane

AU - Tribe, Rachel

AU - Shennan, Andrew

AU - Moore, Sophie

AU - Salisbury, Tatiana

AU - Barratt, Ben

AU - Chappell, Lucy

AU - Beevers, Sean

AU - Bramham, Kate

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 - eRegistry

KW - Open-source

KW - Placental disorders

KW - Pregnancy

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

VL - 17

JO - Reproductive Health

JF - Reproductive Health

SN - 1742-4755

M1 - 50

ER -

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