Vieira, MC;
Relph, S;
Copas, A;
Healey, A;
Coxon, K;
Alagna, A;
Briley, A;
Johnson, M;
Lawlor, DA;
Lees, C;
et al.
Vieira, MC; Relph, S; Copas, A; Healey, A; Coxon, K; Alagna, A; Briley, A; Johnson, M; Lawlor, DA; Lees, C; Marlow, N; McCowan, L; Page, L; Peebles, D; Shennan, A; Thilaganathan, B; Khalil, A; Sandall, J; Pasupathy, D; DESiGN Collaborative Group
(2019)
The DESiGN trial (DEtection of Small for Gestational age Neonate), evaluating the effect of the Growth Assessment Protocol (GAP): study protocol for a randomised controlled trial.
Trials, 20 (1).
p. 154.
ISSN 1745-6215
https://doi.org/10.1186/s13063-019-3242-6
SGUL Authors: Khalil, Asma
Abstract
BACKGROUND: Stillbirth rates in the United Kingdom (UK) are amongst the highest of all developed nations. The association between small-for-gestational-age (SGA) foetuses and stillbirth is well established, and observational studies suggest that improved antenatal detection of SGA babies may halve the stillbirth rate. The Growth Assessment Protocol (GAP) describes a complex intervention that includes risk assessment for SGA and screening using customised fundal-height growth charts. Increased detection of SGA from the use of GAP has been implicated in the reduction of stillbirth rates by 22%, in observational studies of UK regions where GAP uptake was high. This study will be the first randomised controlled trial examining the clinical efficacy, health economics and implementation of the GAP programme in the antenatal detection of SGA. METHODS/DESIGN: In this randomised controlled trial, clusters comprising a maternity unit (or National Health Service Trust) were randomised to either implementation of the GAP programme, or standard care. The primary outcome is the rate of antenatal ultrasound detection of SGA in infants found to be SGA at birth by both population and customised standards, as this is recognised as being the group with highest risk for perinatal morbidity and mortality. Secondary outcomes include antenatal detection of SGA by population centiles, antenatal detection of SGA by customised centiles, short-term maternal and neonatal outcomes, resource use and economic consequences, and a process evaluation of GAP implementation. Qualitative interviews will be performed to assess facilitators and barriers to implementation of GAP. DISCUSSION: This study will be the first to provide data and outcomes from a randomised controlled trial investigating the potential difference between the GAP programme compared to standard care for antenatal ultrasound detection of SGA infants. Accurate information on the performance and service provision requirements of the GAP protocol has the potential to inform national policy decisions on methods to reduce the rate of stillbirth. TRIAL REGISTRATION: Primary registry and trial identifying number: ISRCTN 67698474 . Registered on 2 November 2016.
Item Type: |
Article
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Additional Information: |
© The Author(s). 2019
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: |
Customised growth centiles, Health economics, Implementation research, Small-for-gestational-age foetus, Stillbirth, DESiGN Collaborative Group, 1102 Cardiovascular Medicine And Haematology, 1103 Clinical Sciences, Cardiovascular System & Hematology, General & Internal Medicine |
SGUL Research Institute / Research Centre: |
Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) |
Journal or Publication Title: |
Trials |
ISSN: |
1745-6215 |
Language: |
eng |
Dates: |
Date | Event |
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4 March 2019 | Published | 6 February 2019 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
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PubMed ID: |
30832739 |
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Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/110754 |
Publisher's version: |
https://doi.org/10.1186/s13063-019-3242-6 |
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