Evidence map›Paper›PMID 38020934›Full record

ArticleInternational journal of women's health2023

Impact of the COVID-19 Pandemic on Births, Vaginal Deliveries, Cesarian Sections, and Maternal Mortality in a Brazilian Metropolitan Area: A Time-Series Cohort Study.

Dilson Palhares Ferreira, Cláudia Vicari Bolognani, Levy Aniceto Santana, Sérgio Eduardo Soares Fernandes, Matheus Serwy Fiuza de Moraes, Luana Argollo Souza Fernandes, Camila de Sousa Pereira, Gabriela Billafan Ferreira, Leila Bernarda Donato Göttems, Fábio Ferreira Amorim

Open access · goldAbstract read
In one paragraph

Article in International journal of women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 9% 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.

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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Dilson Palhares Ferreira *Graduation Program in Health Sciences, University of Brasília (UnB), Brasília, Federal District, Brazil.ORCID 0000-0002-4430-4984
Cláudia Vicari Bolognani *Department of Research and Scientific Communication, Escola Superior de Ciências da Saúde (ESCS), Brasília, Federal District, Brazil.
Levy Aniceto Santana *Department of Research and Scientific Communication, Escola Superior de Ciências da Saúde (ESCS), Brasília, Federal District, Brazil.
Sérgio Eduardo Soares Fernandes *Department of Research and Scientific Communication, Escola Superior de Ciências da Saúde (ESCS), Brasília, Federal District, Brazil.
Matheus Serwy Fiuza de Moraes *Medical School, Escola Superior de Ciências da Saúde (ESCS), Brasília, Federal District, Brazil.ORCID 0000-0001-5523-2667
Luana Argollo Souza Fernandes *Medical School, Escola Superior de Ciências da Saúde (ESCS), Brasília, Federal District, Brazil.ORCID 0000-0002-6870-8537
Camila de Sousa Pereira *Medical School, Escola Superior de Ciências da Saúde (ESCS), Brasília, Federal District, Brazil.ORCID 0000-0001-9859-8669
Gabriela Billafan Ferreira *Medical School, Escola Superior de Ciências da Saúde (ESCS), Brasília, Federal District, Brazil.ORCID 0000-0002-0603-9884
Leila Bernarda Donato Göttems *Department of Research and Scientific Communication, Escola Superior de Ciências da Saúde (ESCS), Brasília, Federal District, Brazil.
Fábio Ferreira Amorim *Graduation Program in Health Sciences, University of Brasília (UnB), Brasília, Federal District, Brazil.ORCID 0000-0003-0929-5733
Escola Superior de Ciências da Saúde · BRUniversidade de Brasília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The COVID-19 pandemic posed a worldwide challenge, leading to radical changes in healthcare. The primary objective of the study was to assess the impact of the COVID-19 pandemic on birth, vaginal delivery, and cesarian section (c-section) rates. The secondary objective was to compare the maternal mortality before and after the pandemic. Patients and Methods: Time-series cohort study including data of all women admitted for childbirth (vaginal delivery or c-section) at the maternities in the Public Health System of Federal District, Brazil, between March 2018 and February 2022, using data extracted from the Hospital Information System of Brazilian Ministry of Health (SIH/DATASUS) on September 30, 2022. Causal impact analysis was used to evaluate the impact of COVID-19 on birth, vaginal delivery, and c-section using the CausalImpact R package, and a propensity score matching was used to evaluate the effect on maternal mortality rate using the Easy R (EZR) software. Results: There were 150,617 births, and considering total births, the effect of the COVID-19 pandemic was not statistically significant (absolute effect per week: 5.5, 95% CI: -24.0-33.4). However, there was an increase in c-sections after COVID-19 (absolute effect per week: 18.1; 95% CI: 11.9-23.9). After propensity score matching, the COVID-19 period was associated with increased maternal mortality (OR: 3.22, 95% CI: 1.53-6.81). The e-value of the adjusted OR for the association between the post-COVID-19 period and maternal mortality was 5.89, with a 95% CI: 2.43, suggesting that unmeasured confounders were unlikely to explain the entirety of the effect. Conclusion: Our study revealed a rise in c-sections and maternal mortality during the COVID-19 pandemic, possibly due to disruptions in maternal care. These findings highlight that implementing effective strategies to protect maternal health in times of crisis and improve outcomes for mothers and newborns is crucial.

Indexed as

cesarean sectionCOVID-19maternal health servicesmaternal mortality

Identifiers

PMID38020934
PMCPMC10631387
OpenAlexW4388345724

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.