Evidence map›Paper›PMID 35721399›Full record

ArticleInternational journal of nursing sciences2022

Understanding the pregnant women's experiences during the COVID-19 pandemic in Macao: A qualitative study.

Xin Wang, Ming Liu, Ka Ian Ho, Stephen Tee

Open access · goldAbstract read
In one paragraph

Article in International journal of nursing sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
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 at 2 institutions in 2 countries.

Xin WangFaculty of Health Sciences and Sports, Macao Polytechnic University, Macao.
Ming LiuPeking University Health Science Center - Macao Polytechnic University Nursing, Academy, Macao Polytechnic University, Macao.
Ka Ian HoFaculty of Health Sciences and Sports, Macao Polytechnic University, Macao.
Stephen TeeFaculty of Health and Social Sciences, Bournemouth University, UK.
Macao Polytechnic University · MOBournemouth University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore and interpret the experiences of pregnant women in Macao during the COVID-19 pandemic. Methods: Recruitment advertisements were published through multiple social platforms in Macao. A purposive snowball sampling method was adopted to select interviewees. Eighteen women who were confirmed as pregnant from January to May 2020 participated in this qualitative study. Data was collected from November to December 2020 using in-depth personal interviews. One-to-one interviews were conducted by telephone to avoid personal contact. Thematic analysis was used to perform the data analysis and identify emergent themes. Results: Five themes emerged from the data analysis: changes in daily life, psychological distress, unique experiences of pregnancy follow-up, trying to pay attention to health information but also feeling overwhelmed, and change in hygiene behaviors due to fear of infection. Six sub-themes were identified: being confined at home but understanding the reasons, financial pressures and timely support from the government, perceived risk of catching the infection, retaining optimism with various help and support, adequate personal protections, and obsessive hygiene behaviors. Conclusion: During a pandemic, there is a risk of greater individual isolation, particularly for vulnerable groups such as women in pregnancy. The humanized attention to and support for the residents from the government buffered the adverse impact on the study participants. Preplanning for such events is needed to focus on psychological distress, financial constraints, and prenatal health services. Alternative service delivery, such as telemedicine, online counseling, and virtual reality (VR) technology, should be applied to offer pregnant women timely support and avoid a crisis.

Indexed as

COVID-19FemininityHealth ServicesLife change eventsPregnancyQualitative research

Identifiers

PMID35721399
PMCPMC9197175
OpenAlexW4282943182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.