Evidence map›Paper›PMID 39437201›Full record

ArticleNursing open2024

The relationship between job crafting and work engagement among nurses in China: A latent profile analysis.

Hong-Li Zhang, Jun-Hua Liu, Wen-Jing Ma, Xiao-Ling Xu, Xiao-Lan Guo, Hong-Juan Lang

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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 9 papers, 1 of them a synthesis that pooled it.

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9citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hong-Li ZhangDepartment of Nursing, Fourth Military Medical University, Xi'an, China.ORCID 0009-0008-1957-8394
Jun-Hua LiuDepartment of Nursing, Qufu Traditional Chinese Medicine Hospital, Qufu, Shandong, China.
Wen-Jing MaDepartment of Infectious Diseases, The Second Affiliated Hospital of Air Force Military Medical University, People's Liberation Army, Xi'an, China.
Xiao-Ling XuDepartment of Nursing, Fourth Military Medical University, Xi'an, China.
Xiao-Lan GuoCardiovascular Medicine, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Hong-Juan LangDepartment of Nursing, Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify subtypes of job crafting among Chinese nurses and to explore the characteristics of different subtypes and their relationship with work engagement.

designA cross-sectional study.

methodsA survey of 350 clinical nurses was conducted between December 2022 and January 2023. Identify profile categories for nurses' job crafting using a latent profile analysis. Logistic regression and ANOVA were used to explore the characteristics of different categories of nurses' job crafting in terms of sociodemographic, work engagement variables.

resultsUltimately 3 latent profiles are identified: low job crafting (Class 1, N = 177, 50.7%), moderate job crafting (Class 2, N = 136, 38.9%), high job crafting (Class 3, N = 37, 10.5%). Nurses who are female, aged 31 to 40 and married are more likely to be grouped into Class 2. Nurses with a middle level of title are more likely to be grouped as Class 3. Nurses with high levels of work engagement are more likely to be grouped as Class 2 and Class 3 rather than Class 1.

conclusionThe job crafting has a distinctly classified character among Chinese nurses. 89.6% of nurses were at a low to medium level of job crafting, work engagement is an important predictor of nurses' job crafting. Nursing Managers should focus on the low job crafting group and develop targeted interventions to help nurses improve their job crafting and work engagement levels. PATIENT OR PUBLIC CONTRIBUTION: None.

Indexed as

NursesWork EngagementAdultChinaCross-Sectional StudiesFemaleHumansJob SatisfactionLatent Class AnalysisMaleMiddle AgedSurveys and Questionnairesjob craftinglatent profile analysisnurseswork engagement

Identifiers

PMID39437201
PMCPMC11495650

What OpenQuestion holds

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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.