Evidence map›Paper›PMID 39700386›Full record

ArticleJournal of global health2024

Effects of the COVID-19 pandemic on maternal, newborn, and child health service coverage in Burkina Faso.

Abdoulaye Maïga, Moussa Bougma, Emily Wilson, Théodore S Kaboré, Gildas G Tou, Melinda K Munos, Almamy M Kanté, Safia S Jiwani, Kelsey Zack, Aveika Akum and 3 more

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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

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

2 citing papers in PubMed.

  1. Article
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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

13 authors.

Abdoulaye MaïgaDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Moussa BougmaInstitut Supérieur des Sciences de la Population, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso.
Emily WilsonDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Théodore S KaboréInstitut Supérieur des Sciences de la Population, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso.
Gildas G TouInstitut Supérieur des Sciences de la Population, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso.
Melinda K MunosDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Almamy M KantéDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Safia S JiwaniDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Kelsey ZackDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Aveika AkumDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Neff WalkerDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Robert E BlackDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Agbessi AmouzouDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

Gates Foundation INV-031078
6 · The paper itself

Abstract

Background: While countries' coronavirus disease 2019 (COVID-19) emergency contingency and response plans aimed to prevent and control the spread of the virus, they also caused major disruptions to health services. We assessed the effects of COVID-19 on coverage and inequalities in select maternal, newborn, and child health services in Burkina Faso. Methods: We analysed data from two cross-sectional household surveys conducted in two provinces, one rural and one urban. The first survey of 3375 households was conducted immediately before the pandemic (February to March 2020) and the second survey in the same areas two years after the pandemic (May to June 2022) using a similar methodology. We compared the coverage of maternal, newborn, and child health interventions and care-seeking between the two surveys to assess the effects of the pandemic on maternal, newborn, and child health services. Results: Our findings did not show significant disruptions in coverage of antenatal service, postnatal care for mothers and babies, child routine vaccination, and care-seeking for sick children during the pandemic. However, there was a dramatic drop of the number of women (23 percentage points) accompanied by their partners for delivery as well as the number of caesarean-section deliveries in urban areas. The shortage of health staff, facility congestion, fear of getting COVID-19 after a caesarean-section admission, and prioritisation of critical health services such as emergency caesarean-section to the detriment of elective cases may explain the decline of caesarean-section rates. Conclusions: COVID-19 did not cause major reversals in the coverage of maternal, newborn, and child health services in Burkina Faso, except for caesarean sections. We also saw no substantial increases in service coverage. In the absence of a counterfactual, we could not attribute the stagnation to the pandemic. However, the very low proportion of women reporting disruption in care-seeking suggests some resilience of the health systems to mitigate the negative impacts of the pandemic.

Indexed as

COVID-19AdultBurkina FasoChildChild Health ServicesChild, PreschoolCross-Sectional StudiesFemaleHealth Services AccessibilityHumansInfantInfant, NewbornMaternal-Child Health ServicesMaternal Health ServicesPandemicsPatient Acceptance of Health Care

Identifiers

PMID39700386
PMCPMC11658717

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LicenceCC BY
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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.