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

Corresponding author: yaoyuan, 700113@bucm.edu.cn

DOI: 10.12201/bmr.202412.00006

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  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

  Submit time: 2 December 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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