The preliminary construction of a predictive model for severe job burnout in clinical nurses
SHEN Yue
ZHOU Wei
XIAO Ya
XU Weichao
GUO Mengfei
Abstract：Objective To understand the risk factors of severe job burnout in clinical nurses,and to build a prediction model.Methods A total of 594 clinical nurses from hospitals in Hubei,Shanxi and Sichuan from October to December 2021 were collected by con-venient sampling method.General data questionnaire,Maslach Burnout Inventory General Durvey,Stress of Conscience Questionnaire,Per-ceived Organizational Support were used to investigate.Job burnout was treated as binary data,the optimal subset regression method was used to screen out the predictive factors and built a line graph model.The area under the cure was used to evaluate the differentiation of the predic-tive model,and the calibration curve was used to evaluate the calibration of the model.Results Totally,181 nurses were detected with severe job burnout,accounting for 30.47%.Five predictive variables were selected by optimal subset regression method,which were obstetrics and gy-necology(OR=0.399,95% CI[0.193,0.824]),night shift(OR=1.637,95% CI[1.031,2.587]),overtime work frequency 3～5 times per week(OR=0.383,95% CI[0.151,0.967]),conscience pressure(OR= 0.236,95% CI[0.088,0.634]),perceived organizational support(OR=5.664,95% CI[2.326,13.796]).The AUC of the constructed prediction model was 0.709,and the calibration curve was basically par-allel to the ideal probability curve.Conclusion The prediction model of severe job burnout of clinical nurses has good prediction effect,which can provide reference for evaluating the severity of job burnout of nurses.
Keywords：clinical nursejob burnoutorganizational supportprediction model
Publication Date：2023-10-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 797-802 )