Research on prediction model of ethnic minority health service utilization in Guizhou Province based on artificial neural network
1.School of Medcine and Health Management,Guizhou Medical University,Guizhou Province,Guiyang 550025,China；
2.Department of Science and Technology,Guizhou Medical University,Guizhou Province,Guiyang 550025,China
Abstract：Objective To study the influence of the health literacy on health service utilization among ethnic minorities in Guizhou Province by a method of constructing artificial neural network model,making the prediction of health service utilization intelligent.Methods From June to December 2019,1031 resident ethnic minorities aged 15 to 69 years old in Guizhou Province were selected by multistage sampling for a questionnaire survey.Univariate analysis was used to screen the variables,and multivariate analysis was performed by an artificial neural network model.Results Among the 1031 minority samples,the outpatient service utilization rate was 7.08%,and the inpatient service utilization rate was 8.44%.There were no statistically significant differences in different individual basic information,total score of health literacy and scores of each category between outpatient utilization group and outpatient non-utilization group(P＞0.05).There were statistically significant differences in the occupation,the total score of health literacy,and scores of health information literacy and safety and first aid literacy between the inpatient non-utilization group and the inpatient utilization group,the differences were statistically significant(P＜0.05).Then occupation(P=0.025),health information literacy(P=0.025),safety and first aid literacy(P=0.000)were selected as input layer nodes,and an artificial neural network inpatient service utilization prediction model was constructed.Based on the model,155 sets of data were used for verification.All the absolute value of errors did not exceed 1,with the maximum near 0,so the model fitting effect was good.Conclusion Occupation,health information literacy,safety and first aid literacy significantly affect the utilization of inpatient service for ethnic minorities in Guizhou Province.The artificial neural network model is highly accurate and can be used for further prediction of health service utilization.
杜薇；刘婵婵；李端；胡嘉琦；樊兴颖；周涵妮；常悦. 基于网络药理学探讨柚皮苷的药理作用机制[J]. 中国当代医药, 2021, 28(2): 4-8.
DU Wei1；LIU Chan-chan2；LI Duan1 ；HU Jia-qi1；FAN Xing-ying1；ZHOU Han-ni1；CHANG Yue1▲. Research on prediction model of ethnic minority health service utilization in Guizhou Province based on artificial neural network. 中国当代医药, 2021, 28(2): 4-8.
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