Latent profile analysis and influence factors study of nurses’ job performance
ObjectiveTo investigate the current status of nurses’ job performance, to analyze the latent profile analysis of nurses’ job performance and their relationship with occupational coping self-efficacy, perceived social support and to explore the factors influencing the different profiles.MethodsFrom A...
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Frontiers Media S.A.
2025-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1474091/full |
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author | Zhenfan Liu Xiaoting Yan Guifang Xie Jing Lu Zhitong Wang Cui Chen Jijun Wu Wei Qing |
author_facet | Zhenfan Liu Xiaoting Yan Guifang Xie Jing Lu Zhitong Wang Cui Chen Jijun Wu Wei Qing |
author_sort | Zhenfan Liu |
collection | DOAJ |
description | ObjectiveTo investigate the current status of nurses’ job performance, to analyze the latent profile analysis of nurses’ job performance and their relationship with occupational coping self-efficacy, perceived social support and to explore the factors influencing the different profiles.MethodsFrom April to June 2024, 390 nurses from five general hospitals were facilitated to be selected as survey respondents using a general information questionnaire, job performance scale, occupational coping self-efficacy scale, and perceived social support scale. Latent profile analysis of nurses’ job performance were analyzed, and logistic regression was used to analyze the factors influencing different categories of nurses’ job performance.Results390 nurses were finally included. Nurses job performance score was (45.05 ± 6.55). Nurses’ job performance could be categorized into three latent profile analysis: low job performance (13.9%), medium job performance (52.8%) and high job performance (33.3%). Logistic regression analysis showed that years of working experience, form of employment, perceived social support and occupational coping self-efficacy were the influencing factors of nurses’ job performance (all p < 0.05).ConclusionNurses’ job performance is moderate to high and heterogeneous. Nursing managers should focus on “low job performance” and “medium job performance” nurses, and intervene and support nurses according to the characteristics and influencing factors of the different categories in order to improve their performance. |
format | Article |
id | doaj-art-c2840395cc6b44b48a0e5e82a92076bc |
institution | Kabale University |
issn | 1664-1078 |
language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychology |
spelling | doaj-art-c2840395cc6b44b48a0e5e82a92076bc2025-01-30T06:22:33ZengFrontiers Media S.A.Frontiers in Psychology1664-10782025-01-011610.3389/fpsyg.2025.14740911474091Latent profile analysis and influence factors study of nurses’ job performanceZhenfan Liu0Xiaoting Yan1Guifang Xie2Jing Lu3Zhitong Wang4Cui Chen5Jijun Wu6Wei Qing7Department of Nursing, Deyang People's Hospital, Deyang, ChinaDepartment of Nursing, Sichuan Nursing Vocational College, Chengdu, ChinaDepartment of Nursing, Mianzhu Second People's Hospital, Mianzhu, ChinaDepartment of Nursing, Deyang People's Hospital, Deyang, ChinaDepartment of Nursing, Deyang People's Hospital, Deyang, ChinaDepartment of Nursing, Deyang People's Hospital, Deyang, ChinaDepartment of Nursing, Deyang People's Hospital, Deyang, ChinaDepartment of Nursing, Deyang People's Hospital, Deyang, ChinaObjectiveTo investigate the current status of nurses’ job performance, to analyze the latent profile analysis of nurses’ job performance and their relationship with occupational coping self-efficacy, perceived social support and to explore the factors influencing the different profiles.MethodsFrom April to June 2024, 390 nurses from five general hospitals were facilitated to be selected as survey respondents using a general information questionnaire, job performance scale, occupational coping self-efficacy scale, and perceived social support scale. Latent profile analysis of nurses’ job performance were analyzed, and logistic regression was used to analyze the factors influencing different categories of nurses’ job performance.Results390 nurses were finally included. Nurses job performance score was (45.05 ± 6.55). Nurses’ job performance could be categorized into three latent profile analysis: low job performance (13.9%), medium job performance (52.8%) and high job performance (33.3%). Logistic regression analysis showed that years of working experience, form of employment, perceived social support and occupational coping self-efficacy were the influencing factors of nurses’ job performance (all p < 0.05).ConclusionNurses’ job performance is moderate to high and heterogeneous. Nursing managers should focus on “low job performance” and “medium job performance” nurses, and intervene and support nurses according to the characteristics and influencing factors of the different categories in order to improve their performance.https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1474091/fulllatent profile analysisnursesjob performanceperceived social supportoccupational coping self-efficacy |
spellingShingle | Zhenfan Liu Xiaoting Yan Guifang Xie Jing Lu Zhitong Wang Cui Chen Jijun Wu Wei Qing Latent profile analysis and influence factors study of nurses’ job performance Frontiers in Psychology latent profile analysis nurses job performance perceived social support occupational coping self-efficacy |
title | Latent profile analysis and influence factors study of nurses’ job performance |
title_full | Latent profile analysis and influence factors study of nurses’ job performance |
title_fullStr | Latent profile analysis and influence factors study of nurses’ job performance |
title_full_unstemmed | Latent profile analysis and influence factors study of nurses’ job performance |
title_short | Latent profile analysis and influence factors study of nurses’ job performance |
title_sort | latent profile analysis and influence factors study of nurses job performance |
topic | latent profile analysis nurses job performance perceived social support occupational coping self-efficacy |
url | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1474091/full |
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