Evidence map›Paper›PMID 38129838›Full record

ArticleBMC public health2023

Perinatal care in SARS-CoV-2 infected women: the lesson learnt from a national prospective cohort study during the pandemic in Italy.

Edoardo Corsi Decenti, Michele Antonio Salvatore, Donatella Mandolini, Letizia Sampaolo, Paola D'Aloja, Italian Obstetric Surveillance System COVID-19 Consortium, Serena Donati

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. 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
1.2field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

7 authors at 1 institution in 1 country.

Edoardo Corsi DecentiNational Centre for Disease Prevention and Health Promotion, Istituto Superiore Di Sanità - Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy. edoardo.corsi@iss.it.
Michele Antonio SalvatoreNational Centre for Disease Prevention and Health Promotion, Istituto Superiore Di Sanità - Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Donatella MandoliniNational Centre for Disease Prevention and Health Promotion, Istituto Superiore Di Sanità - Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Letizia SampaoloNational Centre for Disease Prevention and Health Promotion, Istituto Superiore Di Sanità - Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Paola D'AlojaNational Centre for Disease Prevention and Health Promotion, Istituto Superiore Di Sanità - Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Italian Obstetric Surveillance System COVID-19 Consortium
Serena DonatiNational Centre for Disease Prevention and Health Promotion, Istituto Superiore Di Sanità - Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Istituto Superiore di Sanità · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the growing importance given to ensuring high-quality childbirth, perinatal good practices have been rapidly disrupted by SARS-CoV-2 pandemic. This study aimed at describing the childbirth care provided to infected women during two years of COVID-19 emergency in Italy.

methodsA prospective cohort study enrolling all women who gave birth with a confirmed SARS-CoV-2 infection within 7 days from hospital admission in the 218 maternity units active in Italy during the periods February 25, 2020-June 30, 2021, and January 1-May 31, 2022. Perinatal care was assessed by evaluating the prevalence of the following indicators during the pandemic: presence of a labour companion; skin-to-skin; no mother-child separation at birth; rooming-in; breastfeeding. Logistic regression models including women' socio-demographic, obstetric and medical characteristics, were used to assess the association between the adherence to perinatal practices and different pandemic phases.

resultsDuring the study period, 5,360 SARS-CoV-2 positive women were enrolled. Overall, among those who had a vaginal delivery (n = 3,574; 66.8%), 37.5% had a labour companion, 70.5% of newborns were not separated from their mothers at birth, 88.1% were roomed-in, and 88.0% breastfed. These four indicators showed similar variations in the study period with a negative peak between September 2020 and January 2021 and a gradual increase during the Alpha and Omicron waves. Skin-to-skin (mean value 66.2%) had its lowest level at the beginning of the pandemic and gradually increased throughout the study period. Among women who had a caesarean section (n = 1,777; 33.2%), all the indicators showed notably worse outcomes with similar variations in the study period. Multiple logistic regression analyses confirm the observed variations during the pandemic and show a lower adherence to good practices in southern regions and in maternity units with a higher annual number of births.

conclusionsDespite the rising trend in the studied indicators, we observed concerning substandard childbirth care during the SARS-CoV-2 pandemic. Continued efforts are necessary to underscore the significance of the experience of care as a vital component in enhancing the quality of family-centred care policies.

Indexed as

COVID-19Pregnancy Complications, InfectiousCesarean SectionChildFemaleHumansInfant, NewbornPandemicsPerinatal CarePregnancyProspective StudiesSARS-CoV-2BreastfeedingChildbirth careCOVID-19Perinatal carePregnancyRooming-inSARS-CoV-2Skin-to-skin

Identifiers

PMID38129838
PMCPMC10740257
OpenAlexW4390048129

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.