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ORIGINAL RESEARCH article

Front. Med.
Sec. Healthcare Professions Education
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1481261

Analysis of the current status and influencing factors of nurses' patient safety competence: a potential profile analysis

Provisionally accepted
Qian Xiao Qian Xiao 1Xi Huang Xi Huang 1Xin Ren Xin Ren 1Xiulin Wen Xiulin Wen 2*Yujian Zhao Yujian Zhao 1*
  • 1 Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi Province, China
  • 2 The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China

The final, formatted version of the article will be published soon.

    To understand the current situation of patient safety competence level of hospital nurses, identify potential categories, and analyze the distribution characteristics of demographic variables in each subgroup. Methods: A total of 1996 nursing staff were selected as the research objects by convenience sampling method, and the questionnaire survey was conducted using the Chinese version of the Patient Safety Ability Scale, and the three dimensions of the Patient Safety Ability Rating Scale were used as explicit variables for potential profile analysis, and the influencing factors of different potential profiles of nurses' patient safety ability were analyzed by logistic regression.The safety ability of 1996 nurses could be divided into three potential categories: "ability risk group" (14.3%), "medium ability group" (32.9%) and "ability advantage group" (52.7%), with monthly income, participation in department training, self-learning and love of nursing as the influencing factors.The overall patient safety ability of nurses is at the upper middle level, and the classification of nurses can be predicted by monthly income, participation in department training, self-directed learning and love of nursing, and nursing managers can formulate targeted interventions according to the influencing factors of potential profiles to improve nurses' patient safety ability.

    Keywords: Nurses, patient safety competency, potential profile analysis, Cross-sectional survey, latent profile analysis

    Received: 15 Aug 2024; Accepted: 03 Oct 2024.

    Copyright: © 2024 Xiao, Huang, Ren, Wen and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Xiulin Wen, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
    Yujian Zhao, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi Province, China

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