Volume 29 Issue 10
Oct.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(10): 1795-1799
LI Nannan, SONG Guiqi, ZHANG Xiaohong, ZHANG Guowen, CHENG Shengli, YAO Hong, LIU Yuan. Potential profile analysis of nurses' voice behavior in Anhui Province[J]. Chinese Journal of General Practice, 2025, 23(10): 1795-1799. doi: 10.16766/j.cnki.issn.1674-4152.004231
Citation: LI Nannan, SONG Guiqi, ZHANG Xiaohong, ZHANG Guowen, CHENG Shengli, YAO Hong, LIU Yuan. Potential profile analysis of nurses' voice behavior in Anhui Province[J]. Chinese Journal of General Practice, 2025, 23(10): 1795-1799. doi: 10.16766/j.cnki.issn.1674-4152.004231
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Potential profile analysis of nurses' voice behavior in Anhui Province

doi: 10.16766/j.cnki.issn.1674-4152.004231
  • 1.

    The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230001, China

Funds:

 2020jyxm2309

  • Received Date: 2025-03-21
    Abstract
  •   Objective  To explore the potential categories of voice behavior of nursing staff (nurses) in Anhui Province and analyze its influencing factors, to provide reference for formulating intervention strategies.  Methods  The general information questionnaire, nurse suggestion behavior scale, psychological capital scale and authentic leadership scale were adopted. From January to February 2022, a cross-sectional questionnaire survey was conducted among 3 000 nurses from 37 hospitals in Anhui Province. Potential profile analysis and unordered multi-class logistic regression were used to explore the potential categories of nurses' suggestion behaviors and analyze their influencing factors.  Results  The 3 000 nurses' voice behavior could be divided into three potential categories: silent type-low level voice behavior group (17.4%), conservative type-medium level voice behavior group (40.5%), active type-high level voice behavior group (42.1%). The higher the professional title of the nursing staff in the relatively silent type-low-level suggestion behavior group, the greater the probability in the positive type-high-level suggestion behavior group (OR=-0.149, P < 0.05). Nurses with higher scores in psychological capital and authentic leadership were more likely to belong to the positive-high-level suggestion behavior group (OR=0.839, P < 0.001, OR=0.845, P < 0.001). Regression analysis showed that professional title, employment method, age, genuine leadership level and psychological capital were the influencing factors of the potential categories of advice behavior of nursing staff (P < 0.05).  Conclusion  The classification characteristics of the suggestion behavior of 3 000 clinical nursing staff were obvious. 57.9% of the nursing staff showed a medium to low level in terms of suggestion expression. Nursing managers should, based on the different characteristics of their groups and in combination with influencing factors, implement targeted intervention measures to enhance the level of advice provided by nursing staff.

     

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