Evidence map›Paper›PMID 37484836›Full record

ArticleTrauma surgery & acute care open2023

Effect of the COVID-19 pandemic on emergency department attendances for pediatric injuries in Mozambique's central hospitals: an interrupted time series and a comparison within the restriction periods between 2019 and 2020.

Vanda Amado, Jette Moller, Maria Tereza Couto, Lee Wallis, Lucie Laflamme

Abstract read
In one paragraph

Article in Trauma surgery & acute care open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Vanda AmadoDepartment of Global Public Health, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-8839-984X
Jette MollerDepartment of Global Public Health, Karolinska Institute, Stockholm, Sweden.
Maria Tereza CoutoDepartment of Community Health, University of Eduardo Mondlane Faculty of Medicine, Maputo, Mozambique.
Lee WallisDivision of Emergency Medicine, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.
Lucie LaflammeDepartment of Global Public Health, Karolinska Institute, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Hospital-based studies indicate that restriction measures imposed during the COVID-19 pandemic have affected the number and characteristics of pediatric injuries. However, few studies have been conducted in resource-poor countries. This study aimed to determine whether injury-related emergency department (ED) attendances in Mozambique were affected during the restriction periods in 2020 and how the pattern of injury changed. Methods: Mozambique faced two restriction periods in 2020. An interrupted time series was applied to weekly data of pediatric injuries from the ED records of four central hospitals in Mozambique in 2019 and 2020. Weekly numbers of injuries were modeled using a Poisson regression model to estimate the effect of COVID-19 restrictions on trends over calendar time. Then, for each restriction period, differences in injury mechanisms, severity, need for surgery, and intensive care unit (ICU) attendances were compared between 2019 and 2020. Results: During the 76 weeks preceding the restrictions, there was a stable trend in ED attendances. The weekly number dropped by 48.7% after implementation of the first restrictions. By the end of 2020, the weekly numbers were back to the levels observed before the restrictions. Road traffic injuries (RTIs) and falls dropped during the first restriction period and RTIs and burns during the second. There was an increase of 80% in ICU attendances in all periods of 2020 at three hospitals during the first and second restriction periods. Conclusion: The COVID-19 restrictions yielded a reduction in the weekly number of pediatric injuries seen at Mozambique's central hospitals, above all RTIs and falls. The drop reflects reductions in visits most importantly for RTIs, falls, and burns, but was accompanied by an increase in the proportion of ICU cases. This effect was not maintained when the restrictions were relaxed. Whether this reflects reduced exposure to injury or hesitancy to seek care remains to be determined. Level of evidence: Level III, retrospective study with up to two negative criteria.

Indexed as

Accidental InjuriesCOVID-19Emergency Treatmentpediatrics

Identifiers

PMID37484836
PMCPMC10350904

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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.