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Opti’care protocol: a randomised control trial to evaluate the impact of a mobile antenatal care clinic in isolated rural areas on prenatal follow-up

INTRODUCTION: Rural residence appears to be a factor of vulnerability among pregnant women with poor clinical antenatal care. Our principal objective is to assess the impact of an infrastructure for a mobile antenatal care clinic on the completion of antenatal care for women identified as geographic...

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Detalles Bibliográficos
Autores principales: Debost-Legrand, Anne, Legrand, Guillaume, Duclos-Médard, Julie, Thomazet, Juliette, Pranal, Marine, Langlois, Eric, Mourgues, Charline, Vendittelli, Françoise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936278/
https://www.ncbi.nlm.nih.gov/pubmed/36797021
http://dx.doi.org/10.1136/bmjopen-2021-060337
Descripción
Sumario:INTRODUCTION: Rural residence appears to be a factor of vulnerability among pregnant women with poor clinical antenatal care. Our principal objective is to assess the impact of an infrastructure for a mobile antenatal care clinic on the completion of antenatal care for women identified as geographically vulnerable in a perinatal network. METHODS AND ANALYSIS: Controlled cluster-randomised study in two parallel arms comparing an intervention group with an open-label control group. This study will concern the population of pregnant women who must live in one of the municipalities covered by the perinatal network and considered to be an area of geographic vulnerability. The cluster randomisation will take place according to the municipality of residence. The intervention will be the implementation of pregnancy monitoring by a mobile antenatal care clinic. The completion of antenatal care between the intervention and control groups will be a binary criterion: 1 will be attributed to each antenatal care that includes all visits and supplementary examinations. Sample size has been estimated to be 330 at least with an 80% participation rate. The univariate analyses will compare the follow-up rates (with Fisher’s exact test), and all individual characteristics collected (Fisher’s exact test, Student’s t-test) between the two groups. The multivariate analysis will use a mixed linear model analysis and consider the cluster effect as random; the initial model will include known confounders from the literature, confounders identified in univariate analyses, and the clinically relevant prognostic factors. All of these factors will be taken into account in the model as a fixed effect. ETHICS AND DISSEMINATION: The Patient Protection Committee North-West II approved this study on 4 February 2021 (IRB 2020-A02247-32). The results will be the subject of scientific communications and publications. TRIAL REGISTRATION NUMBER: NCT04823104.