Evidence map›Paper›PMID 33766506›Full record

ArticleWomen and birth : journal of the Australian College of Midwives2022

Perspectives of pregnant women during the COVID-19 pandemic: A qualitative study.

Kiran Atmuri, Mahbub Sarkar, Efe Obudu, Arunaz Kumar

Abstract read
In one paragraph

Article in Women and birth : journal of the Australian College of Midwives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
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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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Kiran AtmuriDepartment of Obstetrics and Gynaecology, Monash University, Victoria, Australia; Women's Health Unit, Peninsula Health, Victoria, Australia. Electronic address: Kiran.atmuri@monash.edu.
Mahbub SarkarMonash Centre for Scholarship in Health Education, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia.
Efe ObuduWomen's Health Unit, Peninsula Health, Victoria, Australia.
Arunaz KumarDepartment of Obstetrics and Gynaecology, Monash University, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current COVID-19 pandemic has been shown to have profound effects on pregnant women globally, particularly, on their psycho-social wellbeing. Despite this, there has been limited qualitative inquiry into the experiences of pregnant women during the pandemic.

aimThis original research aimed to study the perspectives of pregnant women in Australia in relation to the impact of the COVID-19 pandemic on their pregnancy experience.

methodsA qualitative descriptive study design with semi-structured interviews was adopted. The study was performed in Melbourne, Australia. A total of fifteen interviews were conducted. Data was analysed thematically to develop major themes and subthemes.

resultsA total of four major themes were developed: support for a positive experience, impact on preparedness in pregnancy and beyond, facing uncertainty of a pandemic, and retaining resilience and optimism.

conclusionsThe COVID-19 pandemic has affected the experience of pregnant women with potential to compromise their psycho-social wellbeing. The major themes identified in this study offer insight to organisations to develop woman-centred care during the pandemic and optimise the psycho-social wellbeing of pregnant women.

Indexed as

COVID-19FemaleHumansPandemicsPregnancyPregnant PeopleQualitative ResearchSARS-CoV-2AustraliaBirthCOVID-19ExperiencesPerspectivesPregnancy

Identifiers

PMID33766506
PMCPMC9006065

What OpenQuestion holds

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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.