Evidence map›Paper›PMID 40448037›Full record

ArticleBMC public health2025

The effect of the Covid-19 pandemic on the maternal mortality rate and the achievement of the Sustainable Development Goal in Brazil.

Gabriella Linhares Siqueira, Gabrielle Rossini de Oliveira Fontes, Alanna Gomes da Silva, Cassia Regina Gontijo Gomes, Fernanda Marçal Ferreira, José Paulo de Siqueira Guida, Eunice Francisca Martins, Libni Cosiello Fuillarat Ciaravolo, Maria Cristina Gabrielloni, Marina Cristina Dos Santos Brito and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2025. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Looking back to the recent past: the influence of national health policies and vaccination during the COVID-19 pandemic on maternal health.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Article
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

12 authors.

Gabriella Linhares SiqueiraFaculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Gabrielle Rossini de Oliveira FontesFaculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Alanna Gomes da SilvaDepartment of Maternal-Child Health and Public Health Nursing, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil.
Cassia Regina Gontijo GomesFaculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Fernanda Marçal FerreiraDepartment of Maternal-Child Health and Psychiatric Nursing, School of Nursing, Universidade de São Paulo, São Paulo, Brazil.
José Paulo de Siqueira GuidaObstetrics & Gynecology from Medical Sciences, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Eunice Francisca MartinsDepartment of Maternal-Child Health and Public Health Nursing, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil.
Libni Cosiello Fuillarat CiaravoloPaulista School of Nursing, Universidade Federal de São Paulo, São Paulo, Brazil.
Maria Cristina GabrielloniDepartment of Women's Health Nursing, Paulista School of Nursing, Universidade Federal de São Paulo, São Paulo, Brazil.
Marina Cristina Dos Santos BritoObstetrics Nursing Resident, Paulista School of Nursing, Universidade Federal de São Paulo, São Paulo, Brazil.
Fernanda Penido MatozinhosDepartment of Maternal-Child Health and Public Health Nursing, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil.
Thales Philipe Rodrigues da SilvaDepartment of Maternal-Child Health and Public Health Nursing, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil. thalesphilipe27@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing maternal mortality is a global health priority, as maternal death is an outcome that strongly impacts health services, the economy, and society. In addition to being a serious violation of women's reproductive rights, it is an important health indicator for a certain country, region, or health system. Despite recognition of several preventive measures, reducing maternal mortality is a complex and multifactorial task that involves social, individual, and local health system determinants. Brazil is in a transitional stage, characterized by its broad range of health services and even excessive interventions in childbirth care, such as caesarean sections. The Covid-19 has intensified these challenges, exposing weaknesses in the health system and impacting access to adequate care during pregnancy, childbirth and postpartum. However, inequities in pregnant and postpartum women's health care coexist with the advances, and preventable maternal deaths prevail in the country. This study aims to analyze the effect of the Covid-19 pandemic on the maternal mortality ratio (MMR) in different Brazilian states over a 24-year historical time series, from 2000 to 2023.

methodsThis is an epidemiological study with an ecological design carried out with secondary data by the Mortality Information System, selecting direct and indirect causes of maternal mortality in the Brazil, country's five macro-regions in the Brazil (North, Northeast, Midwest, South, and Southeast) and states from 2000 to 2023. Correction factors were applied to calculate the MMR per year. For the time trend analysis, we used the interrupted time series (IST) analysis, conducted through the Prais-Winsten linear regression model for Brazil, by state and for five Brazilian regions, as well as the maternal mortality ratio, stratified by direct and indirect causes. IST is one of the most robust approaches for measuring the effects of sudden political, economic, or natural events when time series data are available. We also calculated the annual percentage change (APC). In this study, 'impact' refers to any measurable change in the maternal mortality ratio (MMR) due to the Covid-19 pandemic. A 'positive impact' indicates an increase in MMR due to the Covid-19 pandemic, while a 'negative impact' reflects a decrease in MMR due to the Covid-19 pandemic. The ITS model was used to detect possible changes in level and trend (slope) after the intervention, enabling a robust analysis of the direct and indirect effects of events, such as the Covid-19 pandemic, on maternal mortality.

resultsDuring the period studied, 2021 had the highest maternal mortality ratio (MMR) at 113.14 maternal deaths per 100,000 live births, with significant inequalities across the states and regions of Brazil. The temporal trend analysis of the MMR showed a decreasing trend for Brazil, as well as for the Northeast and South regions. COVID-19 had a positive impact, meaning an increase, on the MMR for Brazil, the Northeast, and the South regions. Regarding the MMR due to direct causes, a stationary trend was observed for Brazil, with an increasing trend in the North region and a decreasing trend in the South region. Concerning MMR due to indirect causes, Brazil showed an increasing trend, as did the Midwest, North, Northeast, and Southeast regions. Additionally, there was a positive impact from COVID-19 on MMR due to indirect causes in the Federal District, Rondônia, Pará, Maranhão, Rio Grande do Norte, Alagoas, Sergipe, and Bahia.

conclusionReducing maternal mortality remains a challenge for Brazil, both due to direct and indirect causes. Therefore, it is recommended to implement multisectoral actions that involve public health policies, in conjunction with other measures aimed at enhancing women's health and living conditions.

Indexed as

COVID-19Maternal MortalitySustainable DevelopmentAdultBrazilFemaleGoalsHumansPandemicsPregnancyCause of deathHealth information systemsInterrupted time series analysisMaternal mortality

Identifiers

PMID40448037
PMCPMC12124042

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LicenceCC BY-NC-ND
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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.