Imperial College London

DrVassoTerzidou

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Clinical Reader in Obstetrics and Gynaecology
 
 
 
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Contact

 

+44 (0)20 7594 2164v.terzidou

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Carter:2018:10.1186/s12884-018-1967-y,
author = {Carter, J and Tribe, RM and Sandall, J and Shennan, AH},
doi = {10.1186/s12884-018-1967-y},
journal = {BMC Pregnancy and Childbirth},
title = {The Preterm Clinical Network (PCN) Database: a web-based systematic method of collecting data on the care of women at risk of preterm birth},
url = {http://dx.doi.org/10.1186/s12884-018-1967-y},
volume = {18},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - BackgroundDespite much research effort, there is a paucity of conclusive evidence in the field of preterm birth prediction and prevention. The methods of monitoring and prevention strategies offered to women at risk vary considerably around the UK and depend on local maternity care provision. It is becoming increasingly recognised that this experience and knowledge, if captured on a larger scale, could be a utilized as a valuable source of evidence for others. The UK Preterm Clinical Network (UKPCN) was established with the aim of improving care and outcomes for women at risk of preterm birth through the sharing of a wealth of experience and knowledge, as well as the building of clinical and research collaboration. The design and development of a bespoke internet-based database was fundamental to achieving this aim.MethodFollowing consultation with UKPCN members and agreement on a minimal dataset, the Preterm Clinical Network (PCN) Database was constructed to collect data from women at risk of preterm birth and their children. Information Governance and research ethics committee approval was given for the storage of historical as well as prospectively collected data. Collaborating centres have instant access to their own records, while use of pooled data is governed by the PCN Database Access Committee. Applications are welcomed from UKPCN members and other established research groups. The results of investigations using the data are expected to provide insights into the effectiveness of current surveillance practices and preterm birth interventions on a national and international scale, as well as the generation of ideas for innovation and research. To date, 31 sites are registered as Data Collection Centres, four of which are outside the UK.ConclusionThis paper outlines the aims of the PCN Database along with the development process undertaken from the initial idea to live launch.
AU - Carter,J
AU - Tribe,RM
AU - Sandall,J
AU - Shennan,AH
DO - 10.1186/s12884-018-1967-y
PY - 2018///
SN - 1471-2393
TI - The Preterm Clinical Network (PCN) Database: a web-based systematic method of collecting data on the care of women at risk of preterm birth
T2 - BMC Pregnancy and Childbirth
UR - http://dx.doi.org/10.1186/s12884-018-1967-y
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000441954800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-018-1967-y
UR - http://hdl.handle.net/10044/1/99424
VL - 18
ER -