Evidence map›Paper›PMID 40890710›Full record

ArticleBMC nursing2025

A qualitative research exploring clinical nurses' experience with nurse employee assistance program promoted by hospitals in China.

Siyu Yang, Lu Tian, Junyao Fan, Yujie Wu, Suya Li, Mingfeng Yu, Yu Liu

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Siyu Yang *Nursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
Lu Tian *Nursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
Junyao Fan *Nursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
Yujie WuNursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
Suya LiNursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
Mingfeng YuNursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
Yu LiuNursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China. 504443342@qq.com.

Funding

The Cultivation of Health Talents in China RCLX2220024
6 · The paper itself

Abstract

backgroundThe shortage of nurses and the prevalence of psychological issues pose significant challenges in the healthcare industry. To address these concerns, hospitals have implemented various effective mental health prevention and assistance programs for nurses. Nurse Employee Assistance Programs (NEAPs) are among the most popular psychological support initiatives for healthcare professionals. This qualitative research aims to provide a comprehensive description of the experiences, attitudes, and evaluations of nurses participating in NEAPs, to establish strategies for better implementation of these programs.

methodsThis study adopted an explorative and descriptive qualitative design involving 15 Chinese nurses. A purpose sampling method was used to recruit clinical nurses who participated in nurse EAPs of their hospitals. Data were analyzed using inductive thematic analysis.

resultsA total of four themes were identified: (i) the aims of participating in NEAPs; (ii) personal growth and changes following NEAP participation; (iii) the most impactful activities within NEAPs; and (iv) recommendations for improving NEAPs. The primary motivation for nurses to participate in NEAPs was the need to alleviate stress and seek solutions to problems. Feedback from nurses in NEAPs positively influenced their thinking from various perspectives and enhanced effective communication with patients. These participants suggested additional themes regarding NEAPs and advocated for their broader adoption among clinical nurses.

conclusionsThis study is the first to explore the experiences of Chinese nurses participating in NEAPs. The findings reveal that these nurses developed effective coping strategies through their involvement in NEAPs, underscoring the potential benefits of such programs in enhancing professional resilience and well-being. Furthermore, there is a clear need to improve the themes of NEAPs and to promote their broader adoption among clinical nurses. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Clinical nursesMental healthNEAPsPressureQualitative research

Identifiers

PMID40890710
PMCPMC12400728

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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.