Evidence map›Paper›PMID 39215260›Full record

ArticleBMC psychiatry2024

Survey of role stress among specialty nurses working in tertiary general hospitals across China: a cross-sectional descriptive study.

Panpan Zhang, Songyao Li, Yaru Li, Bo Zhang, Fangfang Liang, Jiake Li, Hongmei Zhang

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Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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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

7 authors.

Panpan Zhang *Nursing Department, Henan Provincial People's Hospital, Zhengzhou, China. zpanpan0722@163.com.
Songyao Li *Zhengzhou University People's Hospital, Zhengzhou, China.
Yaru LiZhengzhou University People's Hospital, Zhengzhou, China.
Bo ZhangDepartment of Pediatrics, Henan Provincial People's Hospital, Zhengzhou, China.
Fangfang LiangDepartment of International Clinic Center, School of Medicine, Tianjin Stomatological Hospital, Nankai University, Tianjin, China.
Jiake LiCatheter Lab, Henan Provincial People's Hospital, Zhengzhou, China.
Hongmei ZhangNursing Department, Henan Provincial People's Hospital, Zhengzhou, China. z126hm@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational stress can affect specialty nurses' quality of work, especially for those working in care units. This study, therefore, investigated role stress and its related factors among specialty nurses working in tertiary general hospitals.

methodsThis cross-sectional descriptive study used convenience sampling to recruit 795 Chinese specialty nurses in 11 tertiary general hospitals (from February to March 2023). A questionnaire survey was conducted using the Basic Information Questionnaire and the Role Stress Scale. Multiple linear regression analyses were performed on the survey data to explore the factors affecting role stress.

resultsThe total role stress score of specialty nurses in tertiary general hospitals was 52.05 ± 19.98. The highest mean item score was quantitative overload, followed by qualitative overload, role conflict, and role ambiguity, which had the lowest score. Multiple linear regression analysis revealed that gender (β = -0.085, p < 0.05), educational background (β = 0.077, p < 0.05), and work experience (β = -0.104, p < 0.05) were the main factors influencing role stress among specialty nurses.

conclusionsSpecialty nurses in tertiary general hospitals had higher levels of role stress than general nurses. Their role stress was primarily reflected in role overload, followed by role conflict and ambiguity. The factors affecting specialty nurses' role stress included gender, work experience, and educational background. Nursing managers should monitor the role stress experienced by specialty nurses in tertiary general hospitals. Providing psychological support for male specialty nurses, performance rewards and learning opportunities for highly educated specialty nurses, and continuous training for inexperienced specialty nurses are essential measures to relieve role stress.

Indexed as

Hospitals, GeneralOccupational StressTertiary Care CentersAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNurse's RoleNursing Staff, HospitalSurveys and QuestionnairesYoung AdultGeneral hospitalsNursesRole stressSpecialties

Identifiers

PMID39215260
PMCPMC11363659

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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.