Evidence map›Paper›PMID 41261501›Full record

Observational studyPerspectives on sexual and reproductive health2025

Trends in Hospital Abortion During the First 2 Years of COVID-19 in Quebec, Canada: Results From a Population-Based Observational Study.

Nathalie Auger, Aimina Ayoub, Émilie Brousseau, Shu Qin Wei, Antoine Lewin, Thuy Mai Luu

Abstract readObservational Study
In one paragraph

Observational study in Perspectives on sexual and reproductive health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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.

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2 · The registry

The trial behind it

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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

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Nathalie AugerUniversity of Montreal Hospital Research Centre, Montreal, Quebec, Canada.
Aimina AyoubUniversity of Montreal Hospital Research Centre, Montreal, Quebec, Canada.
Émilie BrousseauUniversity of Montreal Hospital Research Centre, Montreal, Quebec, Canada.
Shu Qin WeiInstitut national de santé publique du Québec, Montreal, Quebec, Canada.
Antoine LewinDepartment of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke, Quebec, Canada.
Thuy Mai LuuDepartment of Pediatrics, Sainte-Justine Hospital Research Centre, University of Montreal, Montreal, Canada.

Funding

CIHR PUU-177957Fonds de recherche du Québec-Santé 296785
6 · The paper itself

Abstract

purposeWe investigated the extent to which the COVID-19 pandemic affected hospital abortion rates in a Canadian setting.

methodsWe obtained all abortions between 2012 and 2022 from hospital discharge data in the Maintenance and Use of Data for the Study of Hospital Clientele database for Quebec, Canada. The exposure was the pandemic (March 2020 to March 2022) compared with the preceding period (January 2012 to February 2020). The outcome included hospital-based abortions versus other pregnancy admissions. We examined if the pandemic affected monthly hospital abortion rates using interrupted time series regression. We estimated risk ratios (RRs) and 95% confidence intervals (CIs) for the association between the pandemic and hospital-based abortions, accounting for pandemic wave, abortion method, gestational age, and other patient characteristics.

resultsThere were 21,675 hospital abortions in total, including 4177 (19.3%) during the pandemic. Abortion rates decreased by 1.2 per 1000 pregnancies the first month of the pandemic and continued to decrease by 0.15 per 1000 every month thereafter. Compared with the preceding year, patients were less likely to have a hospital abortion anytime during the pandemic (RR 0.88, 95% CI 0.84-0.93), particularly during the third (RR 0.81, 95% CI 0.74-0.88) and fourth (RR 0.82, 95% CI 0.75-0.89) waves. The decrease was most apparent for instrumentation abortions, abortions before 14 weeks of gestation, and abortions among patients aged ≥ 40 years or who were socioeconomically advantaged.

conclusionsThe pandemic was associated with fewer hospital abortions before 14 weeks, as well as among older or socioeconomically advantaged patients.

Indexed as

Abortion, InducedCOVID-19HospitalizationAdolescentAdultFemaleHumansMiddle AgedPandemicsPregnancyQuebecSARS-CoV-2Young AdultCOVID‐19hospitalizationinduced abortionpandemicpregnancy

Identifiers

PMID41261501
PMCPMC12747609

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.