BMJ Open (Nov 2023)

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

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

DOI
https://doi.org/10.1136/bmjopen-2023-078051
Journal volume & issue
Vol. 13, no. 11

Abstract

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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.