Evidence mapPaperPMID 36709255Full record

SynthesisBMC pregnancy and childbirth2023

The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis.

Gayathri Delanerolle, Mary McCauley, Martin Hirsch, Yutian Zeng, Xu Cong, Heitor Cavalini, Sana Sajid, Ashish Shetty, Shanaya Rathod, Jian Qing Shi and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
10.7field-weighted citation impact, top 1% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Gayathri DelanerolleNuffield Department of Primary Health Care Sciences, Uuniversity of Oxford, Oxford, UK.
Mary McCauleyLiverpool Women's NHS Foundation Trust, Liverpool, UK.
Martin HirschUniversity College London, London, UK.
Yutian ZengSouthern University of Science and Technology, Shenzhen, China.
Xu CongSouthern University of Science and Technology, Shenzhen, China.
Heitor CavaliniSouthern Health NHS Foundation Trust, Research and Innovation Department, Clinical Trials Facility, Tom Rudd Unit Moorgreen Hospital, Botley Road, West End, Southampton, SO30 3JB, UK.
Sana SajidSouthern Health NHS Foundation Trust, Research and Innovation Department, Clinical Trials Facility, Tom Rudd Unit Moorgreen Hospital, Botley Road, West End, Southampton, SO30 3JB, UK.
Ashish ShettyUniversity College London, London, UK.
Shanaya RathodSouthern Health NHS Foundation Trust, Research and Innovation Department, Clinical Trials Facility, Tom Rudd Unit Moorgreen Hospital, Botley Road, West End, Southampton, SO30 3JB, UK.
Jian Qing ShiSouthern University of Science and Technology, Shenzhen, China.
Dharani K HapangamaUniversity of Liverpool, Liverpool, UK.
Peter PhiriSouthern Health NHS Foundation Trust, Research and Innovation Department, Clinical Trials Facility, Tom Rudd Unit Moorgreen Hospital, Botley Road, West End, Southampton, SO30 3JB, UK. peter.phiri@southernhealth.nhs.uk.
Moorgreen Hospital · GBSouthern Health NHS Foundation Trust · GBSouthern University of Science and Technology · CNUniversity College London · GBUniversity of Liverpool · GBNational Supercomputing Center in Shenzhen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis systematic review aims to explore the prevalence of the impact of the COVID-19, MERS, and SARS pandemics on the mental health of pregnant women.

methodsAll COVID-19, SARS and MERS studies that evaluated the mental health of pregnant women with/without gynaecological conditions that were reported in English between December 2000 - July 2021 were included. The search criteria were developed based upon the research question using PubMed, Science Direct, Ovid PsycINFO and EMBASE databases. A wide search criterion was used to ensure the inclusion of all pregnant women with existing gynaecological conditions. The Newcastle-Ottawa-Scale was used to assess the risk of bias for all included studies. Random effects model with restricted maximum-likelihood estimation method was applied for the meta-analysis and I-square statistic was used to evaluate heterogeneity across studies. The pooled prevalence rates of symptoms of anxiety, depression, PTSD, stress, and sleep disorders with 95% confidence interval (CI) were computed.

resultsThis systematic review identified 217 studies which included 638,889 pregnant women or women who had just given birth. There were no studies reporting the mental health impact due to MERS and SARS. Results showed that women who were pregnant or had just given birth displayed various symptoms of poor mental health including those relating to depression (24.9%), anxiety (32.8%), stress (29.44%), Post Traumatic Stress Disorder (PTSD) (27.93%), and sleep disorders (24.38%) during the COVID-19 pandemic. DISCUSSION: It is important to note that studies included in this review used a range of outcome measures which does not allow for direct comparisons between findings. Most studies reported self-reported measure of symptoms without clinical diagnoses so conclusions can be made for symptom prevalence rather than of mental illness. The importance of managing mental health during pregnancy and after-delivery improves the quality of life and wellbeing of mothers hence developing an evidence-based approached as part of pandemic preparedness would improve mental health during challenging times. OTHER: The work presented in this manuscript was not funded by any specific grants. A study protocol was developed and published in PROSPERO (CRD42021235356) to explore several key objectives.

Indexed as

COVID-19Sleep Wake DisordersAnxietyDepressionFemaleHumansMental HealthPandemicsParturitionPregnancyPrevalenceQuality of LifeAntenatal careAnxietyCovid-19DepressionMental ill-healthPregnancyStressWellbeing

Identifiers

PMID36709255
PMCPMC9883834
OpenAlexW4318332944

What Socratic 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 Socratic graph.