Evidence map›Paper›PMID 37139385›Full record

ArticleFrontiers in public health2023

Early effects of COVID-19 on maternal and child health service disruption in Mozambique.

Orvalho Augusto, Timothy Roberton, Quinhas Fernandes, Sérgio Chicumbe, Ivan Manhiça, Stélio Tembe, Bradley H Wagenaar, Laura Anselmi, Jon Wakefield, Kenneth Sherr

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 7 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 5 institutions in 3 countries.

Orvalho AugustoDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, United States.
Timothy RobertonJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Quinhas FernandesDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, United States.
Sérgio ChicumbeNational Institute of Health, Ministry of Health, Marracuene, Mozambique.
Ivan ManhiçaNational Directorate of Public Health, Ministry of Health, Maputo, Mozambique.
Stélio TembeDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, United States.
Bradley H WagenaarDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, United States.
Laura AnselmiHealth Organization, Policy and Economics, Centre for Primary Care and Health Services Research, University of Manchester, Manchester, United Kingdom.
Jon WakefieldDepartment of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States.
Kenneth SherrDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, United States.
University of Washington · USMinistry of Health · MZEduardo Mondlane University · MZJohns Hopkins University · USUniversity of Manchester · GB

Funding

Spreading the Integrated District Evidence-to-Action Program for Neonatal Mortality Reduction (IDEAs) in MozambiqueR01HD092449 · NICHD · UNIVERSITY OF WASHINGTON · PI FERNANDES, QUINHAS, SHERR, KENNETH · 2018 to 2022
$2.8M
NICHD NIH HHS R01 HD092449
6 · The paper itself

Abstract

This article is part of the Research Topic 'Health Systems Recovery in the Context of COVID-19 and Protracted Conflict'. Introduction: After the World Health Organization declared COVID-19 a pandemic, more than 184 million cases and 4 million deaths had been recorded worldwide by July 2021. These are likely to be underestimates and do not distinguish between direct and indirect deaths resulting from disruptions in health care services. The purpose of our research was to assess the early impact of COVID-19 in 2020 and early 2021 on maternal and child healthcare service delivery at the district level in Mozambique using routine health information system data, and estimate associated excess maternal and child deaths. Methods: Using data from Mozambique's routine health information system (SISMA, Sistema de Informação em Saúde para Monitoria e Avaliação), we conducted a time-series analysis to assess changes in nine selected indicators representing the continuum of maternal and child health care service provision in 159 districts in Mozambique. The dataset was extracted as counts of services provided from January 2017 to March 2021. Descriptive statistics were used for district comparisons, and district-specific time-series plots were produced. We used absolute differences or ratios for comparisons between observed data and modeled predictions as a measure of the magnitude of loss in service provision. Mortality estimates were performed using the Lives Saved Tool (LiST). Results: All maternal and child health care service indicators that we assessed demonstrated service delivery disruptions (below 10% of the expected counts), with the number of new users of family planing and malaria treatment with Coartem (number of children under five treated) experiencing the largest disruptions. Immediate losses were observed in April 2020 for all indicators, with the exception of treatment of malaria with Coartem. The number of excess deaths estimated in 2020 due to loss of health service delivery were 11,337 (12.8%) children under five, 5,705 (11.3%) neonates, and 387 (7.6%) mothers. Conclusion: Findings from our study support existing research showing the negative impact of COVID-19 on maternal and child health services utilization in sub-Saharan Africa. This study offers subnational and granular estimates of service loss that can be useful for health system recovery planning. To our knowledge, it is the first study on the early impacts of COVID-19 on maternal and child health care service utilization conducted in an African Portuguese-speaking country.

Indexed as

Child Health ServicesCOVID-19MalariaArtemether, Lumefantrine Drug CombinationChildFemaleHumansInfant, NewbornMothersMozambiqueArtemether, Lumefantrine Drug CombinationCOVID-19interrupted time-series analysisLMICMCHMozambiquePALOPseasonality

Identifiers

PMID37139385
PMCPMC10149948
OpenAlexW4366226490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.