Evidence map›Paper›PMID 36966343›Full record

Observational studyReproductive health2023

Effect of the COVID-19 pandemic on maternal and neonatal health services in three referral hospitals in Guinea: an interrupted time-series analysis.

Tamba Mina Millimouno, Nafissatou Dioubaté, Harissatou Niane, Mamadou Cellou Diallo, Cécé Maomou, Telly Sy, Ibrahima Sory Diallo, Aline Semaan, Thérèse Delvaux, Lenka Beňová and 1 more

Open access · goldFull text readObservational Study
In one paragraph

Observational study in Reproductive health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

11 authors at 4 institutions in 2 countries.

Tamba Mina MillimounoCentre National de Formation et de Recherche en Santé Rurale de Maferinyah, Forécariah, Guinea. mina@maferinyah.org.
Nafissatou DioubatéCentre National de Formation et de Recherche en Santé Rurale de Maferinyah, Forécariah, Guinea.
Harissatou NianeInstitut de Nutrition et de Santé de l'Enfant, Hôpital National Donka, Conakry, Guinea.
Mamadou Cellou DialloService de Maternité de l'Hôpital National Ignace Deen, Conakry, Guinea.
Cécé MaomouService de Maternité de l'Hôpital Régional de Mamou, Mamou, Guinea.
Telly SyService de Maternité de l'Hôpital National Ignace Deen, Conakry, Guinea.
Ibrahima Sory DialloInstitut de Nutrition et de Santé de l'Enfant, Hôpital National Donka, Conakry, Guinea.
Aline SemaanDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Thérèse DelvauxDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Lenka BeňováDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Alexandre DelamouCentre National de Formation et de Recherche en Santé Rurale de Maferinyah, Forécariah, Guinea.
Institut de Recherche Agronomique de Guinée · GNInstituut voor Tropische Geneeskunde · BEDonka Hospital · GNIgnace Deen Hospital · GN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn sub-Saharan Africa, there is limited evidence on the COVID-19 health-related effect from front-line health provision settings. Therefore, this study aimed to analyse the effect of the COVID-19 pandemic on routine maternal and neonatal health services in three referral hospitals. MATERIALS AND

methodsWe conducted an observational study using aggregate monthly maternal and neonatal health services routine data for two years (March 2019-February 2021) in three referral hospitals including two maternities: Hôpital National Ignace Deen (HNID) in Conakry and Hôpital Regional de Mamou (HRM) in Mamou and one neonatology ward: Institut de Nutrition et de Santé de l'Enfant (INSE) in Conakry. We compared indicators of health service utilisation, provision and health outcomes before and during the COVID-19 pandemic periods. An interrupted time-series analysis (ITSA) was performed to assess the relationship between changes in maternal and neonatal health indicators and COVID-19 through cross-correlation.

resultsDuring COVID-19, the mean monthly number (MMN) of deliveries decreased significantly in HNID (p = 0.039) and slightly increased in HRM. In the two maternities, the change in the MMN of deliveries were significantly associated with COVID-19. The ITSA confirmed the association between the increase in the MMN of deliveries and COVID-19 in HRM (bootstrapped F-value = 1.46, 95%CI [0.036-8.047], p < 0.01). We observed an increasing trend in obstetric complications in HNID, while the trend declined in HRM. The MMN of maternal deaths increased significantly (p = 0.011) in HNID, while it slightly increased in HRM. In INSE, the MMN of neonatal admissions significantly declined (p < 0.001) and this decline was associated with COVID-19. The MMN of neonatal deaths significantly decreased (p = 0.009) in INSE and this decrease was related to COVID-19.

conclusionThe pandemic negatively affected the maternal and neonatal care provision, health service utilisation and health outcomes in two referral hospitals located in Conakry, the COVID-19 most-affected region.

Indexed as

COVID-19Maternal Health ServicesFemaleGuineaHealth ServicesHospitalsHumansInfant HealthInfant, NewbornPandemicsPregnancyReferral and ConsultationCOVID-19EffectGuineaMaternal and neonatal healthPandemic

Identifiers

PMID36966343
PMCPMC10039677
OpenAlexW4360939133

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read28
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.