Evidence map›Paper›PMID 42138800›Full record

ArticleJournal of nursing management2026

Turnover Intention and Associated Factors Among Night-Shift Midwives in China: A Cross-Sectional Study.

Dongning He, Jinling Zhang, Jingbo He, Jinyu Zuo, Yangxue Meng, Na Li, Yan Huang, Mingxin Zhu, Guoyu Wang, Biru Luo

Abstract read
In one paragraph

Article in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Dongning HeDepartment of Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, scu.edu.cn.ORCID https://orcid.org/0009-0003-3831-5112
Jinling ZhangDepartment of Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, scu.edu.cn.ORCID https://orcid.org/0000-0002-7314-8634
Jingbo HeDepartment of Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, scu.edu.cn.ORCID https://orcid.org/0009-0000-5741-1669
Jinyu ZuoWest China School of Nursing, Sichuan University, No. 24 South Section First Ring Road Wuhou District, Chengdu City, Sichuan Province, China, scu.edu.cn.ORCID https://orcid.org/0009-0002-2542-1584
Yangxue MengKey Laboratory of Birth Defects and Related Disease of Women and Children (Sichuan University), Ministry of Education, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, meb.gov.tr.ORCID https://orcid.org/0009-0002-8128-2814
Na LiKey Laboratory of Birth Defects and Related Disease of Women and Children (Sichuan University), Ministry of Education, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, meb.gov.tr.ORCID https://orcid.org/0009-0001-4243-0653
Yan HuangDepartment of Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, scu.edu.cn.ORCID https://orcid.org/0009-0003-7530-9889
Mingxin ZhuKey Laboratory of Birth Defects and Related Disease of Women and Children (Sichuan University), Ministry of Education, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, meb.gov.tr.ORCID https://orcid.org/0009-0001-9985-9063
Guoyu WangKey Laboratory of Birth Defects and Related Disease of Women and Children (Sichuan University), Ministry of Education, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, meb.gov.tr.ORCID https://orcid.org/0009-0006-6996-2824
Biru LuoDepartment of Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, No. 20 Section 3 People's South Road Wuhou District, Chengdu City, Sichuan Province, China, scu.edu.cn.ORCID https://orcid.org/0009-0001-0253-9152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMidwives play a crucial role in maternal and neonatal health. However, there is a growing global shortage of midwives, and the high turnover rate is a key contributing factor. The research focusing on the turnover intention of night-shift midwives is limited in China.

methodsThis cross-sectional study was conducted from January to December 2023 across 493 public hospitals in mainland China, with 1588 night-shift midwives participating. A self-designed questionnaire collected sociodemographic information and night-shift work-related characteristics. Turnover intention was measured using the Turnover Intention Scale, and sleep quality was assessed using the Pittsburgh Sleep Quality Index. Multiple linear regression analysis was conducted to identify factors influencing turnover intention.

resultsA proportion of 49.7% (n = 789) of night-shift midwives reported turnover intentions. Lower turnover intention was associated with being married, having better health status, good sleep quality, and ≥ 15 years of work experience. Higher satisfaction with shift scheduling and overall work were also associated with lower turnover intention. Conversely, completing additional work during rest time after night shifts and experiencing job burnout were associated with higher turnover intentions.

conclusionsHigh turnover intention among night-shift midwives represents a significant challenge for maternal health services in China. Hospital administrators may consider prioritizing shift scheduling systems, regularly monitoring job burnout and satisfaction levels, and implementing targeted interventions to reduce turnover and ensure workforce sustainability.

Indexed as

IntentionNurse MidwivesPersonnel TurnoverShift Work ScheduleWork Schedule ToleranceAdultChinaCross-Sectional StudiesFemaleHumansJob SatisfactionMiddle AgedSurveys and QuestionnairesWorking Conditionsmidwiferypersonnel managementshift work scheduleturnover intention

Identifiers

PMID42138800
PMCPMC13178475

What OpenQuestion 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 OpenQuestion graph.