Evidence map›Paper›PMID 37918934›Full record

ArticleBMJ open2023

Latent profile analysis of nurses' perceived professional benefits in China: a cross-sectional study.

Changli Sun, Hu Jiang, Qingfang Yao, Xianwei Wang, Xueke Wen, Hanmei Liu

Abstract read
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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
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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

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Changli SunThe Third Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Hu JiangThe Third Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China jianghuchn@163.com.ORCID 0000-0001-6301-0829
Qingfang YaoThe Third Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Xianwei WangThe Third Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.ORCID 0000-0003-4424-1749
Xueke WenThe Third Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Hanmei LiuZunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify profiles of nurses' perceived professional benefits as well as their predictors.

designCross-sectional study.

settingThe study was carried out online in China.

methodsFrom 6 July to 27 July 2022, a total of 1309 registered nurses participated in the survey by convenient sampling. We collected the Nurses' Perceived Professional Benefits Questionnaire and demographic data. Using latent profile analysis (LPA), subgroups of nurses' perceived professional benefits were identified. Moreover, univariate and multinomial logistic regression analyses were conducted to find the factors that were linked with the profiles.

resultsThe survey was validly completed by 1309 nurses, with a 92.9% effective return rate. The findings of the LPA demonstrated three unique profiles: low-perceived professional benefits (11.8%), moderate-perceived professional benefits (57.1%) and high-perceived professional benefits (31.1%). There was a correlation between marital status, the number of night shifts per month and leadership role.

conclusionsAccording to our research, registered nurses have three unique professional benefit profiles. In order to sustain the nursing workforce, despite the fact that nurses get a high level of professional benefits, interventions are necessary to increase nurses' perception of their professional value.

Indexed as

Burnout, ProfessionalNursesNursing StaffNursing Staff, HospitalChinaCross-Sectional StudiesHumansJob SatisfactionSurveys and Questionnairesburnoutburnout, professionalchina

Identifiers

PMID37918934
PMCPMC10626806

What OpenQuestion holds

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LicenceCC BY-NC
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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.