Evidence map›Paper›PMID 35820747›Full record

ArticleBMJ open2022

Investigating service delivery and perinatal outcomes during the low prevalence first year of COVID-19 in a multiethnic Australian population: a cohort study.

Sarah J Melov, James Elhindi, Therese M McGee, Vincent W Lee, N Wah Cheung, Seng Chai Chua, Justin McNab, Thushari I Alahakoon, Dharmintra Pasupathy

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 15 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

9 authors at 2 institutions in 1 country.

Sarah J MelovReproduction and Perinatal Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia sarah.melov@health.nsw.gov.au.ORCID 0000-0002-7569-1016
James ElhindiReproduction and Perinatal Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Therese M McGeeWomen's and Newborn Health, Westmead Hospital, Westmead, New South Wales, Australia.
Vincent W LeeFaculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
N Wah CheungWestmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Seng Chai ChuaWomen's and Newborn Health, Westmead Hospital, Westmead, New South Wales, Australia.
Justin McNabReproduction and Perinatal Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Thushari I AlahakoonWestmead Institute for Maternal and Fetal Medicine, Women's and Newborn Health, Westmead Hospital, Westmead, New South Wales, Australia.
Dharmintra PasupathyReproduction and Perinatal Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
The University of Sydney · AUWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInvestigate the impact of the COVID-19 pandemic on perinatal outcomes in an Australian high migrant and low COVID-19 prevalent population to identify if COVID-19 driven health service changes and societal influences impact obstetric and perinatal outcomes.

designRetrospective cohort study with pre COVID-19 period 1 January 2018-31 January 2020, and first year of global COVID-19 period 1 February 2020-31 January 2021. Multivariate logistic regression analysis was conducted adjusting for confounders including age, area-level socioeconomic status, gestation, parity, ethnicity and body mass index.

settingObstetric population attending three public hospitals including a major tertiary referral centre in Western Sydney, Australia.

participantsWomen who delivered with singleton pregnancies over 20 weeks gestation. Ethnically diverse women, 66% overseas born. There were 34 103 births in the district that met inclusion criteria: before COVID-19 n=23 722, during COVID-19 n=10 381.

main outcome measuresInduction of labour, caesarean section delivery, iatrogenic and spontaneous preterm birth, small for gestational age (SGA), composite neonatal adverse outcome and full breastfeeding at hospital discharge.

resultsDuring the first year of COVID-19, there was no change for induction of labour (adjusted OR, aOR 0.97; 95% CI 0.92 to 1.02, p=0.26) and a 25% increase in caesarean section births (aOR 1.25; 95% CI 1.19 to 1.32, p<0.001). During the COVID-19 period, we found no change in iatrogenic preterm births (aOR 0.94; 95% CI 0.80 to 1.09) but a 15% reduction in spontaneous preterm birth (aOR 0.85; 95% CI 0.75 to 0.97, p=0.02) and a 10% reduction in SGA infants at birth (aOR 0.90; 95% CI 0.82 to 0.99, p=0.02). Composite adverse neonatal outcomes were marginally higher (aOR 1.08; 95% CI 1.00 to 1.15, p=0.04) and full breastfeeding rates at hospital discharge reduced by 15% (aOR 0.85; 95% CI 0.80 to 0.90, p<0.001).

conclusionDespite a low prevalence of COVID-19, both positive and adverse obstetric outcomes were observed that may be related to changes in service delivery and interaction with healthcare providers. Further research is suggested to understand the drivers for these changes.

Indexed as

COVID-19Premature BirthAustraliaCesarean SectionCohort StudiesFemaleHumansIatrogenic DiseaseInfantInfant, NewbornPandemicsPregnancyPregnancy OutcomePrevalenceRetrospective StudiesCOVID-19fetal medicinematernal medicineobstetricsperinatologypublic health

Identifiers

PMID35820747
PMCPMC9277027
OpenAlexW4285098608

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.