Evidence map›Paper›PMID 39469488›Full record

ArticlePortuguese journal of public health2024

COVID-19 Pandemic and Hospitalizations due to Abortion among 10- to 14-Year-Old Girls in Brazil.

Maria Isabel do Nascimento, Thalys Gabriel Rabelo Silva, Victor Joshua de Aguiar Mello Nascimento, Luis Patricio Ortiz Flores, Billy McBenedict

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Article in Portuguese journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Maria Isabel do NascimentoFaculdade de Medicina, Departamento de Cirurgia Geral e Especializada, Universidade Federal Fluminense, Niterói, Brazil.
Thalys Gabriel Rabelo SilvaFaculdade de Medicina. Universidade Federal Fluminense, Niterói, Brazil.
Victor Joshua de Aguiar Mello NascimentoFaculdade de Medicina. Universidade Federal Fluminense, Niterói, Brazil.
Luis Patricio Ortiz FloresFaculdade de Economia, Contábeis e Atuária, Pontifícia Universidade Católica de São Paulo, São Paulo, Brazil.
Billy McBenedictFaculdade de Medicina. Universidade Federal Fluminense, Niterói, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Various non-pharmacological interventions to prevent coronavirus dissemination were implemented during the COVID-19 pandemic, including school closures. The effect of these interventions on particular aspects of people's lives such as sexual and reproductive health outcomes has not been adequately discussed. The objective of the study was to compare the monthly hospital admission rates due to abortion before and during school closure. Methods: We used an interrupted time series (IES) design to estimate the hospital admission rates before and during the school closure (intervention in March 2020) period. The analysis was performed considering all girls from age groups of interest and by stratifying the age groups according to skin color (white and non-white) in which the non-white category comprised both the black and mixed ethnicity together. Coefficients and 95% confidence intervals (95% CIs) were calculated using segmented linear regression models. Results: The results showed positive and statistically significant coefficients, suggesting post-intervention trend changes both in the population as a whole (coefficient: 0.07; 95% CI: 0.02; 0.11) and the non-white population group (coefficient: 0.07; 95% CI: 0.03; 0.11), indicating that the monthly hospital admission rates increased over the post-intervention period compared to baseline pre-intervention period. The ITS analysis did not detect statistically significant trend changes (coefficient: 0.02; 95% CI: -0.01; 0.05) in abortion admission rates in the white girl population group. Conclusion: The hospitalizations in Brazil due to abortions in 10- to 14-year-old girls increased during the COVID-19 pandemic in 2020 compared to 2019, and the number of abortions was higher in the non-white population than the white population. Furthermore, recognizing that the implementation of school closure has affected the minority population differentially can help develop more effective actions to face other future similar situations.

Indexed as

AdolescentCOVID-19: abortionEpidemiologyHealth surveillanceHospitalizationInterrupted time series analysisReproductive health

Identifiers

PMID39469488
PMCPMC11499666

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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.