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Related Experiment Video

Updated: May 20, 2025

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Formative research to optimize pre-eclampsia risk-screening and prevention (PEARLS): study protocol.

Nicole Minckas1, Alim Swarray-Deen2, Sue Fawcus3

  • 1Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia. nicole.minckas@unimelb.edu.au.

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|March 25, 2025
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Summary

This study explores implementing pre-eclampsia risk screening and AI ultrasound in low-resource settings. Findings will guide the PEARLS trial to improve maternal and newborn outcomes by preventing pre-eclampsia.

Keywords:
Antenatal careArtificial Intelligence UltrasoundAspirin prophylaxisGestational age estimationHypertensive disorders of pregnancyLMICsMaternal healthMixed-methodsPre-eclampsiaProtocolRisk screening

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Area of Science:

  • Maternal Health
  • Clinical Trial Methodology
  • Public Health Interventions

Background:

  • Pre-eclampsia affects 5% of pregnancies globally, causing significant maternal and neonatal mortality.
  • Early risk screening and preventive therapies like low-dose aspirin are crucial for managing pre-eclampsia.
  • The PEARLS trial aims to validate a pre-eclampsia risk-screening algorithm and AI ultrasound for gestational age estimation.

Purpose of the Study:

  • To outline the mixed-methods formative phase of the PEARLS trial.
  • To identify challenges and assess the feasibility of implementing pre-eclampsia risk screening, AI ultrasound, and aspirin regimens in Ghana, Kenya, and South Africa.
  • To inform the trial design and optimize implementation strategies for resource-limited settings.

Main Methods:

  • Employing qualitative (interviews, focus groups) and quantitative (surveys) methods.
  • Engaging diverse stakeholders including policy makers, health workers, and pregnant women.
  • Analyzing data through thematic analysis and triangulation to identify barriers, facilitators, and acceptability.

Main Results:

  • The formative phase will identify critical factors influencing trial implementation.
  • Insights into the acceptability and feasibility of AI ultrasound and risk screening will be gathered.
  • Understanding of current clinical practices and willingness to participate will be assessed.

Conclusions:

  • The research will provide crucial insights into implementing pre-eclampsia screening and AI ultrasound in resource-limited settings.
  • Findings will inform the successful execution and scale-up of the PEARLS trial.
  • This can ultimately help reduce pre-eclampsia prevalence and improve maternal and newborn outcomes in high-burden regions.