Evidence map›Paper›PMID 39235127›Full record

ArticleNursing open2024

A questionnaire on the current situation of resignation intention of nurses in intensive care units in China - A descriptive quantitative study.

Feng He, Chunyan Zhang, Di Zhao, Chao Zhang, Liangnan Zeng, Wei Liu, Laiyou Li, Fei Gao

Abstract readMulticenter Study
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.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Feng HeThe Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Chunyan ZhangDepartment of Nursing, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Di ZhaoThe Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Chao ZhangHebei General Hospital, Shijiazhuang, Hebei, China.
Liangnan ZengDepartment of Nursing, Chengdu Fifth People's Hospital, The Fifth People's Hospital Affiliated to Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Wei LiuHebei Psychological Counselor Association, Shijiazhuang, Hebei, China.
Laiyou LiDepartment of Nursing, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Fei GaoHebei General Hospital, Shijiazhuang, Hebei, China.ORCID 0009-0003-5470-9007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study analysed and summarized the correlation between various indicators of ICU nurses' personal lives, hospital work situation, social opinion, psychological assessment, and their intention to resign.

designA descriptive quantitative study.

methodsThis study was a multicentre questionnaire on factors influencing intensive care unit (ICU) nurses' intention to resign. This study was completed through the Critical Care E Institute (CCEI) and China Calm Therapy Research Group Academic Organization (CNCSG) by contacting ICU nurses in three hospitals in 34 provinces in China. The questionnaire was in the form of a cell phone WeChat scan code. The survey included 22 indicators, including basic information about nurses (marital and child status, personal income, etc.), hospital work (weekly working hours, night shift, hospital environment, etc.), and psychological symptoms.

resultsA total of 1904 nurses were included in this study. Among them, 1060 (55.67%) had the intention to resign. In this study, among the 22 indicators involved, 16 factors, including hospital work hours, job title, satisfaction with current income, having children, and evaluation of the hospital, significantly impact nurses' intentions to resign (all p < 0.05). Logistic regression analysis showed that six indicators influenced nurses' choice of resignation intention (all p < 0.05), including hospital work time, professional title, income satisfaction, hospital work pride, satisfaction of nurses with the compassion and care given to them by their hospitals, and career vision score. The ROC curve showed that all six indicators were <0.70, but the model receiver operating characteristic (ROC) curve constructed for the indicators was 0.756. In China, increasing the income of ICU nurses, fostering pride in hospital work, reducing working hours, ensuring smooth promotion processes, and enhancing career prospects can all decrease their likelihood of choosing to resign. Absorbing practical nursing management and work experience from other countries will help decrease the intention to resign within this group. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Intensive Care UnitsIntentionJob SatisfactionNursing Staff, HospitalAdultAttitude of Health PersonnelChinaFemaleHumansMaleMiddle AgedNursesPersonnel TurnoverSurveys and Questionnairesintensive care unitnursepsychological assessmentquestionnaireresign intention

Identifiers

PMID39235127
PMCPMC11375734

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LicenceCC BY-NC-ND
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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.