Evidence map›Paper›PMID 36797021›Full record

ArticleBMJ open2023

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.

Anne Debost-Legrand, Guillaume Legrand, Julie Duclos-Médard, Juliette Thomazet, Marine Pranal, Eric Langlois, Charline Mourgues, Françoise Vendittelli

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04823104 (Optimizing Access to Care During Pregnancy in Rural Areas in a Perinatal Health), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04823104 naterminatednot on this map

Optimizing Access to Care During Pregnancy in Rural Areas in a Perinatal Health

TypeinterventionalSponsorUniversity Hospital, Clermont-FerrandRan2022 to 2025Enrolled105ConditionsPregnancy, Living in an Isolated AreaArmsHome visitation
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Anne Debost-LegrandCHU Clermont-Ferrand, CNRS, Clermont Auvergne INP, Institut Pascal, Université Clermont Auvergne, Clermont-Ferrand, France alegrand@chu-clermontferrand.fr.ORCID 0000-0002-1706-599X
Guillaume LegrandCentre Hospitalier Sainte Marie de Clermont-Ferrand, Association Hospitalière Sainte-Marie, Chamalieres, France.
Julie Duclos-MédardRéseau de Santé en Périnatalité d'Auvergne, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Juliette ThomazetRéseau de Santé en Périnatalité d'Auvergne, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Marine PranalCHU Clermont-Ferrand, CNRS, Clermont Auvergne INP, Institut Pascal, Université Clermont Auvergne, Clermont-Ferrand, France.ORCID 0000-0002-7698-3715
Eric LangloisUMR Territoires, AgroparisTech, INRA, Irstea, VetAgro Sup, Universite Clermont Auvergne, Clermont-Ferrand, France.
Charline MourguesDirection de la Recherche Clinique et de l'Innovation, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Françoise VendittelliCHU Clermont-Ferrand, CNRS, Clermont Auvergne INP, Institut Pascal, Université Clermont Auvergne, Clermont-Ferrand, France.
Centre Hospitalier Universitaire de Clermont-Ferrand · FRCentre National de la Recherche Scientifique · FRCentre Hospitalier Sainte-Anne · FRUniversité Clermont Auvergne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRural 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.

Indexed as

ParturitionPrenatal CareFemaleFollow-Up StudiesHumansPregnancyPregnant PeopleRandomized Controlled Trials as TopicResearch Designobstetricsperinatologypublic health

Identifiers

PMID36797021
PMCPMC9936278
OpenAlexW4321116352

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.