The DESiGN trial (DEtection of Small for Gestational age Neonate), evaluating the effect of the Growth Assessment

Matias C Vieira1, Sophie Relph1, Andrew Copas2

  • 1Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, Women's Health Academic Centre KHP, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.

Trials
|March 6, 2019
PubMed

Insights

This study evaluates the Growth Assessment Protocol (GAP) to improve antenatal detection of small-for-gestational-age (SGA) babies, aiming to reduce stillbirth rates in the UK. The first randomized controlled trial will assess its clinical efficacy and health economics.

Area of Science:

  • Obstetrics and Gynecology
  • Fetal Medicine
  • Public Health

Background:

  • UK stillbirth rates are among the highest in developed nations.
  • Small-for-gestational-age (SGA) fetuses are strongly associated with stillbirth.
  • Observational studies suggest improved antenatal detection of SGA may significantly reduce stillbirths.

Purpose of the Study:

  • To conduct the first randomized controlled trial on the Growth Assessment Protocol (GAP) for antenatal detection of SGA.
  • To evaluate the clinical efficacy, health economics, and implementation of the GAP programme.
  • To provide data informing national policy on stillbirth reduction strategies.

Main Methods:

  • Cluster randomized controlled trial comparing the GAP programme to standard care.
  • Primary outcome: antenatal ultrasound detection rate of SGA infants identified at birth (population and customized standards).
  • Secondary outcomes: detection rates by centiles, maternal/neonatal outcomes, resource use, economic consequences, and implementation process evaluation.

Main Results:

  • This section is to be filled after the study's completion.

Conclusions:

  • This trial is the first to compare the GAP programme against standard care for antenatal SGA detection.
  • Findings will offer crucial data on GAP's performance and service needs.
  • Results have the potential to influence national policies aimed at reducing stillbirth rates.
Abstract

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