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

OBJECTIVE: To identify profiles of nurses’ perceived professional benefits as well as their predictors. DESIGN: Cross-sectional study. SETTING: The study was carried out online in China. METHODS: From 6 July to 27 July 2022, a total of 1309 registered nurses participated in the survey by convenient...

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Autores principales: Sun, Changli, Jiang, Hu, Yao, Qingfang, Wang, Xianwei, Wen, Xueke, Liu, Hanmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626806/
https://www.ncbi.nlm.nih.gov/pubmed/37918934
http://dx.doi.org/10.1136/bmjopen-2023-078051
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author Sun, Changli
Jiang, Hu
Yao, Qingfang
Wang, Xianwei
Wen, Xueke
Liu, Hanmei
author_facet Sun, Changli
Jiang, Hu
Yao, Qingfang
Wang, Xianwei
Wen, Xueke
Liu, Hanmei
author_sort Sun, Changli
collection PubMed
description OBJECTIVE: To identify profiles of nurses’ perceived professional benefits as well as their predictors. DESIGN: Cross-sectional study. SETTING: The study was carried out online in China. METHODS: From 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. RESULTS: The 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. CONCLUSIONS: According 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.
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spelling pubmed-106268062023-11-07 Latent profile analysis of nurses’ perceived professional benefits in China: a cross-sectional study Sun, Changli Jiang, Hu Yao, Qingfang Wang, Xianwei Wen, Xueke Liu, Hanmei BMJ Open Occupational and Environmental Medicine OBJECTIVE: To identify profiles of nurses’ perceived professional benefits as well as their predictors. DESIGN: Cross-sectional study. SETTING: The study was carried out online in China. METHODS: From 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. RESULTS: The 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. CONCLUSIONS: According 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. BMJ Publishing Group 2023-11-02 /pmc/articles/PMC10626806/ /pubmed/37918934 http://dx.doi.org/10.1136/bmjopen-2023-078051 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Occupational and Environmental Medicine
Sun, Changli
Jiang, Hu
Yao, Qingfang
Wang, Xianwei
Wen, Xueke
Liu, Hanmei
Latent profile analysis of nurses’ perceived professional benefits in China: a cross-sectional study
title Latent profile analysis of nurses’ perceived professional benefits in China: a cross-sectional study
title_full Latent profile analysis of nurses’ perceived professional benefits in China: a cross-sectional study
title_fullStr Latent profile analysis of nurses’ perceived professional benefits in China: a cross-sectional study
title_full_unstemmed Latent profile analysis of nurses’ perceived professional benefits in China: a cross-sectional study
title_short Latent profile analysis of nurses’ perceived professional benefits in China: a cross-sectional study
title_sort latent profile analysis of nurses’ perceived professional benefits in china: a cross-sectional study
topic Occupational and Environmental Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626806/
https://www.ncbi.nlm.nih.gov/pubmed/37918934
http://dx.doi.org/10.1136/bmjopen-2023-078051
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