Evidence map›Paper›PMID 38324546›Full record

ArticlePloS one2024

Medication abortion during the COVID-19 pandemic in France: A research based on the French national health insurance database.

Justine Chaput, Valentine Becquet, Pierre-Louis Bithorel, Elodie Baril, Elise de La Rochebrochard, Magali Mazuy

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

6 authors.

Justine ChaputInstitut national d'études démographiques (INED), Aubervilliers, France.ORCID 0000-0003-4589-1313
Valentine BecquetInstitut national d'études démographiques (INED), Aubervilliers, France.
Pierre-Louis BithorelInstitut national d'études démographiques (INED), Aubervilliers, France.
Elodie BarilInstitut national d'études démographiques (INED), Aubervilliers, France.
Elise de La RochebrochardInstitut national d'études démographiques (INED), Aubervilliers, France.
Magali MazuyInstitut national d'études démographiques (INED), Aubervilliers, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDuring the COVID-19 pandemic in France, abortion was recognized as an essential service that cannot be delayed, and such care was therefore presumed to be maintained. The aim is to analyze the changes in the practice of abortion in 2020 to identify the consequences of the two lockdowns and the effects of the extension of the legal time limit.

methodsWe analyzed the data collected by the French national health insurance system, which covers 99% of the population. All women who had an elective abortion, either surgical or with medication, in France in 2019 and 2020 were included in the study. Trend changes in abortions were analyzed by comparing the ratio of the weekly number of abortions in 2020 with the weekly number in 2019.

resultsBoth 2020 lockdowns were followed by a drop in abortions, particularly after the first and stricter lockdown. This may be explained not by an abrupt shutdown of access to abortion services, but rather by a decrease in conceptions during the lockdown weeks. The decrease was more marked for surgical abortions than for medication abortions in a hospital setting, and less so for medication abortions in non-hospital settings. Moreover, the proportion of the latter type of abortions continued to increase, showing the reinforcement of a previous trend.

conclusionsOur findings indicate that expanding the legal time limit for abortion, diversifying the settings where abortions can be performed and the range of abortion providers help to facilitate access to this fundamental reproductive care.

Indexed as

Abortion, InducedCOVID-19Abortion, LegalCommunicable Disease ControlFemaleFranceHumansNational Health ProgramsPandemicsPregnancy

Identifiers

PMID38324546
PMCPMC10849394

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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.