TY - JOUR
T1 - Formative research to optimize pre-eclampsia risk-screening and prevention (PEARLS)
T2 - study protocol
AU - on behalf of the PEARLS Trial collaborative group
AU - Minckas, Nicole
AU - Swarray-Deen, Alim
AU - Fawcus, Sue
AU - Ndiema, Rosa Chemwey
AU - McDougall, Annie
AU - Scott, Jennifer
AU - Oppong, Samuel Antwi
AU - Osman, Ayesha
AU - Osoti, Alfred Onyango
AU - Eddy, Katherine
AU - Matjila, Mushi
AU - Gwako, George Nyakundi
AU - Vogel, Joshua P.
AU - Gülmezoglu, A. Metin A.
AU - Nwameme, Adanna Uloaku
AU - Bohren, Meghan A.
AU - Tomazzini, Alessandra
AU - Tamatey, Ama Asantewaa
AU - Smit, Inge
AU - Simpson, Julie A.
AU - Rabele, Josephine
AU - Qureshi, Zahida P.
AU - Okore, Jenipher Echenje
AU - Nguyen, Long
AU - Nartey, Tetteh Edmund
AU - Maina, Teresiah Njambi
AU - Mahar, Robert K.
AU - Laws, Mark
AU - Fleurent, Alessandra
AU - Craik, Rachel
AU - Coleman, Nathaniel
AU - Chinery, Lester
AU - Blackburn, Kara
AU - Arends, Edna
AU - Kwame, Kwame Adu Bonsaffoh
AU - Adu-Amankwah, Amanda
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - Background: Pre-eclampsia is a leading cause of maternal and neonatal mortality, affecting 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 “Preventing 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 artificial intelligence (AI) ultrasound for gestational age estimation. In the trial phase, we will compare different 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 influence trial implementation. 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 ultrasound, and aspirin uptake. A cross-sectional survey of antenatal care and maternity health workers will assess current 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 findings 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 ultrasound for gestational age estimation in resource-limited settings. By identifying factors that can influence implementation of pre-eclampsia prevention and care pathways, the findings 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).
AB - Background: Pre-eclampsia is a leading cause of maternal and neonatal mortality, affecting 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 “Preventing 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 artificial intelligence (AI) ultrasound for gestational age estimation. In the trial phase, we will compare different 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 influence trial implementation. 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 ultrasound, and aspirin uptake. A cross-sectional survey of antenatal care and maternity health workers will assess current 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 findings 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 ultrasound for gestational age estimation in resource-limited settings. By identifying factors that can influence implementation of pre-eclampsia prevention and care pathways, the findings 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).
KW - Antenatal care
KW - Artificial Intelligence Ultrasound
KW - Aspirin prophylaxis
KW - Gestational age estimation
KW - Hypertensive disorders of pregnancy
KW - LMICs
KW - Maternal health
KW - Mixed-methods
KW - Pre-eclampsia
KW - Protocol
KW - Risk screening
UR - https://www.scopus.com/pages/publications/105001155196
U2 - 10.1186/s12978-025-01980-9
DO - 10.1186/s12978-025-01980-9
M3 - Article
AN - SCOPUS:105001155196
SN - 1742-4755
VL - 22
JO - Reproductive Health
JF - Reproductive Health
IS - 1
M1 - 44
ER -