通讯作者: 姚园, 700113@bucm.edu.cn

DOI：10.12201/bmr.202412.00006

Study on Quality of Life of Medical Staff and Its Influencing Factors During Sudden Public Health Emergencies Based on Decision Tree and Neural Network Model

• 摘要：【摘要】目的：了解在应对突发公共卫生事件背景下，医务人员生命质量现状并探讨其影响因素，为科学调动医务人员应对突发公共卫生事件积极性与队伍稳定性，推进公共危机事件下医疗系统内部的新质生产力发挥更大效能。方法：2022年5-6月采用方便抽样和滚雪球抽样的方法，使用生命质量简表、执业环境量表、工作投入量表对全国医务人员进行调查，采用决策树与神经网络模型分析医务人员生命质量影响因素。结果：医务人员生命质量总分（62.61±14.99）分。决策树模型结果表明，执业环境、工作投入、参与意愿、学历是医务人员生命质量的主要影响因素（P<0.05）；神经网络分析模型结果显示，上述因素对医务人员生命质量的影响程度逐渐减小。结论：医务人员生命质量得分不高，执业环境、工作投入、参与意愿是主要影响因素，两种模型各有优劣，二者有机结合使分析结果更具有实际意义。

  关键词： 【关键词】医务人员；生命质量；决策树；神经网络; ; ; 

   

  Abstract: 【Abstract】Objective: To understand the current situation of the quality of life of medical staff in the context of responding to public health emergencies and discuss its influencing factors, so as to scientifically mobilize the enthusiasm and stability of medical staff in response to public health emergencies and promote the new quality productivity of the medical system under public crises.Methods: The convenient sampling and snowball-sampling were used to investigate medical staff in China in May-June 2022 with using World Health Organization quality of life brief scale, the utrecht work engagement scale and the practice environment scale, and establish decision tree and neural network models to analyze the factors affecting the quality of life of medical staff. Results: Quality of life of medical staff was (62.61±14.99). Decision tree results showed that the practice environment, work engagement, work willingness, educational background had influence on the quality of life of medical staff (P<0.05), and the influence degree was gradually reduced by the results of the neural network model. Conclusion: The quality of life of medical staff is not high. The practice environment, the work engagement, work willingness is the main influencing factor. Two models have their advantages and disadvantages, which combined use makes the results more meaningful.

  Key words: 【Keywords】 Medical staff; Quality of life; Decision tree; Neural network model

  提交时间：2024-12-02

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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• 序号	提交日期	编号	操作
  1	2024-03-26	bmr.202412.00006V1	下载

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