Evidence map›Paper›PMID 37865400›Full record

ArticleBMJ global health2023

Regional differences in the utilisation of antenatal care and skilled birth attendant services during the COVID-19 pandemic in Nigeria: an interrupted time series analysis.

Rotimi Felix Afolabi, Mobolaji M Salawu, Eniola A Bamgboye, Segun Bello, Ayo Stephen Adebowale, Magbagbeola David Dairo, Steven N Kabwama, Irene Wanyana, Susan Kizito, Rawlance Ndejjo and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 9 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

12 authors at 2 institutions in 3 countries.

Rotimi Felix AfolabiDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria rotimifelix@yahoo.com.ORCID 0000-0002-0744-1787
Mobolaji M SalawuDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0002-5708-1417
Eniola A BamgboyeDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0003-0500-8557
Segun BelloDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Ayo Stephen AdebowaleDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Magbagbeola David DairoDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Steven N KabwamaDepartment of Community Health and Behavioural Sciences, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Irene WanyanaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0009-0005-8613-8493
Susan KizitoDepartment of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Rawlance NdejjoDepartment of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0001-9263-557X
Rhoda K WanyenzeDepartment of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Olufunmilayo Ibitola FawoleDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
University of Ibadan · NGMakerere University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has had a substantial negative impact on the utilisation of essential health services (EHS) globally, especially in resource-limited settings such as Nigeria. High maternal deaths associated with low access to and utilisation of EHS such as antenatal care (ANC) and skilled birth attendants (SBAs) remain a concern during the COVID-19 era. The study assessed the COVID-19 pandemic effects on ANC and SBA utilisation across regions in Nigeria.

methodsMonthly data on ANC and SBA between January 2017 and July 2021 were obtained from the Federal Ministry of Health database. An interrupted time-series analysis, implemented using the Prophet model, was conducted to compare the regional variation of outcomes during the COVID-19 pandemic. Average percentage changes (PC) between the observed and predicted outcomes including their 95% CI were reported.

resultsFrom March 2020 to July 2021, the number of ANC visits was significantly lower than expected by a 16%-43% change in five of the six regions in Nigeria. The highest significant reduction was in North-West (PC=-43.4; 95% CI: -52.6 to -34.1) and the least in South-West (PC=-15.5; 95% CI: -24.8 to -6.1), with no significant change in the South-East. The number of deliveries by SBA was significantly lower than expected by a 18%-43% change in all the regions (p<0.01). North-East (PC=-43.3; 95% CI: -51.7 to -34.9) and South-West (PC=-18.3; 95% CI: -25.2 to -11.5), respectively, had the highest and the least decline in SBA utilisation. Overall, ANC and SBA patterns of change were relatively similar across the north-south divide though the change effect was considerably pronounced in the north.

conclusionThere was a substantial reduction in ANC and SBA utilisation due to the COVID-19 pandemic in Nigeria, especially in the northern regions. Targeted and contextually relevant interventions should be implemented to alleviate the impact of emergency response on access to EHS and promote access to care during the pandemic.

Indexed as

COVID-19Prenatal CareFemaleHumansInterrupted Time Series AnalysisNigeriaPandemicsPregnancySocioeconomic FactorsCOVID-19Public Health

Identifiers

PMID37865400
PMCPMC10603444
OpenAlexW4387849995

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.