Implementation of a decision aid to promote shared decision-making on mode of birth in low-risk pregnant women: a cross-sectional study within the QUALI-DEC hybrid trial

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Authors: Truc Phuong Nguyen, Ana Pilar Betrán, G. Carroli, Charles Kaboré, Pisake Lumbiganon, Quoc Nhu Hung Mac, Celina Gialdini, Camille Etcheverry, Barbara Vololonarivelo, Kristi Sidney Annerstedt, Ramon Escuriet, Claudia Hanson
+2 more Allison Shorten, Alexandre Dumont
Cited by: 0
References: 28

Abstract

INTRODUCTION: Implementing shared decision-making (SDM) in maternity care remains challenging in low-income and middle-income countries (LMICs). Decision aids can support SDM, but evidence on their effectiveness in such settings is limited. We assessed the impact of a decision analysis tool (DAT) for pregnant women on mode of birth (MOB) within the QUALIty DECision-making project, a multisite, multicountry pragmatic trial to reduce unnecessary caesarean sections. METHODS: We conducted a cross-sectional survey among postpartum women considered at low risk for caesarean section in early pregnancy and who delivered in 32 hospitals across Argentina, Burkina Faso, Thailand and Viet Nam. Associations between DAT exposure and selected outcomes were analysed using multilevel, multivariate regression models adjusting for confounders and cluster effects. RESULTS: Of 2368 women included, 249 (11%) had used it outside antenatal care visits, 212 (9%) had heard of but not used it, and 1907 (80%) had never heard of the DAT. Compared with women who had never heard of the DAT, users were more likely to identify at least three risks/benefits of each MOB (adjusted OR (aOR) 1.9; 95% CI 1.3 to 2.8; p=0.001) and to communicate their preferred MOB to providers (aOR 2.3; 95% CI 1.5 to 3.6; p

Fields of Study & Subjects

Patient-Provider Communication in Healthcare Maternal and Perinatal Health Interventions Health Policy Implementation Science

Publication details

Journal / source
BMJ Global Health
Volume
11
Issue
3
Pages
e022365–e022365
Publication date
1 March 2026
Language
EN