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

BMJ Open. 2023 Nov 2;13(11):e078051. doi: 10.1136/bmjopen-2023-078051.

Abstract

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.

Keywords: burnout; burnout, professional; china.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Burnout, Professional*
  • China
  • Cross-Sectional Studies
  • Humans
  • Job Satisfaction
  • Nurses*
  • Nursing Staff*
  • Nursing Staff, Hospital*
  • Surveys and Questionnaires