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This project aims to improve maternal health indicators in a national context where the maternal mortality rate is one of the highest in the world. Our hypothesis is that an intervention combining (i) the training of traditional birth attendant in the identification and monitoring of high-risk pregnancies, (ii) their integration into the health system and (iii) the use of a digital decision-support application installed on a smartphone and adapted to their profile, could strengthen the identification and monitoring of high-risk pregnancies, increase attendance at facilities and thus the rate of assisted deliveries in health facilities, in Bimbo district around the capital Bangui in the Central African republic.
Full description
This is a quasi-experimental study with a before (baseline measurement) and after (final measurement) approach combined with 2) an exploratory prospective observational cohort study and 3) a sub-study using a mixed methodology.
The main objective is to assess a composite intervention implementation combining the integration of Traditional Birth Attendants (TBAs) into the health system through a strengthened collaboration with health facilities with the support of a numeric application aiming at registering pregnant women & identifying those at high risk of obstetric complications.
The secondary objectives are to:
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Inclusion and exclusion criteria
Inclusion Criteria for the main study (quasi-experimental study with a before-after approach)
Inclusion Criteria for participating in the observational cohort:
Inclusion Criteria for participating in the sub-study on intervention's acceptability and feasibility:
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Central trial contact
Cécile Dr Cazes, PhD; Renaud Becquet, PhD
Data sourced from clinicaltrials.gov
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