Evidence map›Paper›PMID 32354365›Full record

ArticleReproductive health2020

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

Laura A Magee, Amber Strang, Larry Li, Domena Tu, Warancha Tumtaweetikul, Rachel Craik, Marina Daniele, Angela Koech Etyang, Umberto D'Alessandro, Ofordile Ogochukwu and 7 more

Abstract read
In one paragraph

Article in Reproductive health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Gynecology Meets Big Data in the Disruptive Innovation Medical Era: State-of-Art and Future Prospects.International journal of environmental research and public health · 2021
    Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Laura A MageeDepartment 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.05.11, 1 Lambeth Palace Road, London, SE1 7EU, UK. Laura.A.Magee@kcl.ac.uk.
Amber StrangDepartment 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.05.11, 1 Lambeth Palace Road, London, SE1 7EU, UK.
Larry LiDepartment of Obstetrics & Gynaecology, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Domena TuDepartment of Obstetrics & Gynaecology, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Warancha TumtaweetikulDepartment of Obstetrics & Gynaecology, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Rachel CraikDepartment 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.05.11, 1 Lambeth Palace Road, London, SE1 7EU, UK.
Marina DanieleDepartment 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.05.11, 1 Lambeth Palace Road, London, SE1 7EU, UK.
Angela Koech EtyangCentre of Excellence in Women & Child Health, East Africa, Aga Khan University, Nairobi, Kenya.
Umberto D'AlessandroMedical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Ofordile OgochukwuMedical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Anna RocaMedical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Esperança SeveneDepartment of Physiological Science, Clinical Pharmacology, Faculty of Medicine, Universidade Eduardo Mondlane, Maputo, Mozambique.
Paulo ChinCentro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.
Corssino TchavanaCentro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.
Marleen TemmermanCentre of Excellence in Women & Child Health, East Africa, Aga Khan University, Nairobi, Kenya.
Peter von DadelszenDepartment 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.05.11, 1 Lambeth Palace Road, London, SE1 7EU, UK.
PRECISE Network

Funding

Department of Health RP-2014-05-019Medical Research Council MR/P012019/1Medical Research Council MR/P027938/1Medical Research Council MR/S019669/1
6 · The paper itself

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.

Indexed as

Infant HealthMaternal HealthPlacenta DiseasesData CollectionFemaleHumansInfantInfant, NewbornPregnancyPrenatal CareRegistriesDHIS2eRegistryOpen-sourcePlacental disordersPregnancy

Identifiers

PMID32354365
PMCPMC7191679

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.