Evidence map›Paper›PMID 34399382›Full record

ArticleMidwifery2021

Women's experiences of maternity service reconfiguration during the COVID-19 pandemic: A qualitative investigation.

Sergio A Silverio, Kaat De Backer, Abigail Easter, Peter von Dadelszen, Laura A Magee, Jane Sandall

Abstract read
In one paragraph

Article in Midwifery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

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

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  17. Lived experiences of women with spontaneous abortion at a district hospital, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
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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

6 authors.

Sergio A SilverioDepartment of Women & Children's Health, School of Life Course Sciences, Faculty of Life Sciences & Medicine, King's College London, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, Lambeth, London, SE1 7EH, UK.; Elizabeth Garrett Anderson Institute for Women's Health, Faculty of Population Health Sciences, School of Life and Medical Sciences, University College London, Medical School Building, 74 Huntley Street, London, Bloomsbury, WC1E 6AU, UK.. Electronic address: Sergio.Silverio@kcl.ac.uk.
Kaat De BackerDepartment of Women & Children's Health, School of Life Course Sciences, Faculty of Life Sciences & Medicine, King's College London, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, Lambeth, London, SE1 7EH, UK.; Kingfisher Mother and Baby Unit, Hellesdon Hospital, Norfolk and Suffolk NHS Foundation Trust, Drayton High Road, Norwich, Norfolk, NR6 5BE, UK.
Abigail EasterDepartment of Women & Children's Health, School of Life Course Sciences, Faculty of Life Sciences & Medicine, King's College London, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, Lambeth, London, SE1 7EH, UK.
Peter von DadelszenDepartment of Women & Children's Health, School of Life Course Sciences, Faculty of Life Sciences & Medicine, King's College London, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, Lambeth, London, SE1 7EH, UK.
Laura A MageeDepartment of Women & Children's Health, School of Life Course Sciences, Faculty of Life Sciences & Medicine, King's College London, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, Lambeth, London, SE1 7EH, UK.
Jane SandallDepartment of Women & Children's Health, School of Life Course Sciences, Faculty of Life Sciences & Medicine, King's College London, 10th Floor North Wing, St. Thomas' Hospital, Westminster Bridge Road, Lambeth, London, SE1 7EH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore women's experiences of maternity service reconfiguration during the first wave of the SARS-CoV-2 (COVID-19) pandemic.

designQualitative interview study.

settingSouth London, United Kingdom.

participantsWomen (N=23) who gave birth between March and August 2020 in one of the ten South London maternity hospitals.

methodsSemi-structured interviews were conducted (N=23), via video-conferencing software. Transcribed interviews were analysed 'by hand' using Microsoft Word. Template analysis was selected to code, analyse, and interpret data, according to the findings of a recently-published national survey of maternity service reconfiguration across the UK in response to COVID-19.

findingsThree main themes emerged through analysis: (i) Disruption to In-Person Care and Increased Virtual Care Provision, (ii) Changes to Labour and Birth Preferences and Plans, (iii) Advice for Navigating Maternity Services During a Pandemic. KEY

conclusionsWomen reported mixed views on the reduction in scheduled in-person appointments. The increase in remote care, especially via telephone, was not well endorsed by women. Furthermore, women reported an under-reliance on healthcare professionals for support, rather turning to family. IMPLICATIONS FOR PRACTICE: We provide insight into the experiences of women who received antenatal, intrapartum, and postnatal care during the first wave of the COVID-19 pandemic. Our findings should inform healthcare policy to build back better maternity care services after the pandemic.

Indexed as

COVID-19TelemedicineAdultFemaleHumansInterviews as TopicMaternal Health ServicesPandemicsPregnancyPregnant PeopleQualitative ResearchSARS-CoV-2United KingdomCOVID-19Maternity CareQualitative ResearchService DeliveryWomen's Experiences

Identifiers

PMID34399382
PMCPMC9756856

What OpenQuestion holds

Textmetadata
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.