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The Preterm Clinical Network (PCN) Database: A web-based systematic method of collecting data on the care of women at risk of preterm birth

Carter, J; Tribe, RM; Sandall, J; Shennan, AH; Alfirevic, Z; Adamson, C; Girling, J; ... UK Preterm Clinical Network, .; + view all (2018) The Preterm Clinical Network (PCN) Database: A web-based systematic method of collecting data on the care of women at risk of preterm birth. BMC Pregnancy and Childbirth , 18 , Article 335. 10.1186/s12884-018-1967-y. Green open access

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Abstract

Background: Despite 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. // Method: Following 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. // Conclusion: This paper outlines the aims of the PCN Database along with the development process undertaken from the initial idea to live launch.

Type: Article
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
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/s12884-018-1967-y
Publisher version: https://doi.org/10.1186/s12884-018-1967-y
Language: English
Additional information: © The Author(s) 2018. Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Preterm birth, Clinical databases, Clinical registries, Clinical networks, Clinical audit
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Maternal and Fetal Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10055959
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