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

dc.contributor.authorMinckas. N.
dc.contributor.authorSwarray‑Deen. A.
dc.contributor.authorFawcus. S.
dc.contributor.authoret al.
dc.date.accessioned2025-07-15T11:10:09Z
dc.date.issued2025
dc.descriptionResearch Article
dc.description.abstractBackground Pre-eclampsia is a leading cause of maternal and neonatal mortality, afecting nearly 5% of pregnant women worldwide. Accurate and timely risk-screening of pregnant women is essential to start preventive therapies as early as possible, including low-dose aspirin and calcium supplementation. In the formative phase for the “Prevent‑ ing pre-eclampsia: Evaluating AspiRin Low-dose regimens following risk Screening” (PEARLS) trial, we aim to validate and implement a pre-eclampsia risk-screening algorithm, and validate an artifcial intelligence (AI) ultrasound for ges‑ tational age estimation. In the trial phase, we will compare diferent daily aspirin doses (75 mg v 150 mg) for pre eclampsia prevention and postpartum bleeding. This study protocol outlines the mixed-methods formative phase of PEARLS, which will identify challenges and the feasibility of implementing these activities in participating facilities in Ghana, Kenya, and South Africa. Methods We will employ qualitative and quantitative methods to identify factors that may infuence trial implemen‑ tation. In-depth interviews and focus group discussions with policy stakeholders, research midwives, health workers, and pregnant women will explore the barriers, facilitators, and acceptability of pre-eclampsia risk screening, AI ultra‑ sound, and aspirin uptake. A cross-sectional survey of antenatal care and maternity health workers will assess cur‑ rent clinical practices around pre-eclampsia and willingness to participate in the trial activities. Data will be analyzed using thematic analysis and triangulated across sources and participant groups. The fndings will inform trial design and help optimize implementation. Discussion The research will provide critical insights into the feasibility of pre-eclampsia risk screening and AI ultra‑ sound for gestational age estimation in resource-limited settings. By identifying factors that can infuence implemen‑ tation of pre-eclampsia prevention and care pathways, the fndings will inform successful execution of the PEARLS trial, and post-research scale-up activities. This, in turn, can help reduce the prevalence of pre-eclampsia, and improve maternal and newborn outcomes in high-burden settings. Trial registration: PACTR202403785563823 || pactr.samrc.ac.za (Date of registration: 12 March 2024).
dc.identifier.otherhttps://doi.org/10.1186/s12978-025-01980-9
dc.identifier.urihttps://ugspace.ug.edu.gh/handle/123456789/43416
dc.language.isoen
dc.publisherReproductive Health
dc.subjectAntenatal care
dc.subjectArtifcial Intelligence Ultrasound
dc.subjectAspirin prophylaxis
dc.titleFormative research to optimize pre-eclampsia risk-screening and prevention (PEARLS): study protocol
dc.typeArticle

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