Evidence map›Paper›PMID 39533529›Full record

ArticleNursing open2024

Experience Among Postnatal Nurses With Two or Three Children Returning to Work Within 3 Months in China: A Qualitative Study.

Meng Liu, Guangling Yang, Qingxiang Zhu, Dan Chen

Abstract read
In one paragraph

Article in Nursing open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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.

Meng LiuSchool of Medicine, Hunan Normal University, Changsha, China.ORCID 0009-0001-3629-1482
Guangling YangThe Seventh Ward of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-2467-7916
Qingxiang ZhuChangsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China.
Dan ChenSchool of Medicine, Hunan Normal University, Changsha, China.

Funding

Natural Science Foundation of Changsha in 2023 kq2402166Undergraduate Teaching Reform Research Project of Hunan Province in 2024 202401000056
6 · The paper itself

Abstract

aimTo analyse experience in postnatal nurses returning to work within 3 months following the delivery of a second or third child and recommend appropriate measures to relieve pressure and enhance work engagement among this group.

methodsThis study adopted a descriptive phenomenological approach. Semi-structured interview was carried out with 12 postnatal nurses who had returned to work in the postpartum period following the delivery of a second or third child. The collected data were analysed using the Colaizzi method.

resultsExperience among postnatal nurses with two or three children was found to stem from three factors: declining physical quality after childbirth (pelvic floor disorder, fatigue, postpartum memory decline and sleep disturbance), poor psychological adjustment after childbirth (work-family conflict, conflict between clinical work and breastfeeding and role maladjustment) and lack of clear career planning.

conclusionThis study emphasised the importance of psychological experience when postnatal nurses returning to clinical work in the early phase. Postnatal nurses and nurse leaders can use these results to make comprehensive solution in order to improve work engagement in the postpartum return. PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Qualitative ResearchReturn to WorkAdultChinaFemaleHumansInterviews as TopicNursesPostpartum Periodnursepostpartum periodqualitative researchreturn to workwork engagement

Identifiers

PMID39533529
PMCPMC11557511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.