Influencing Factors of Treatment Compliance in Children with Bronchial Asthma and Construction of Nomogram Model for Predicting Its Risk
Objective To investigate the influencing factors of treatment compliance in children with bronchial asthma(BA),construct its risk prediction nomogram model,and validate it.Methods A total of 360 BA children admitted to Affiliated Hospital of Yangzhou University from June 2021 to December 2023 were selected,and according to a 7∶3 ratio,they were assigned into a training set(252 cases)and a validation set(108 cases)via random number table method.Clinical data of the children were collected,and the BA children in training set were divided into good compliance group(n=124)and poor compliance group(n=128)complying with compliance of treatment.Multivariate Logistic regression analysis was used to explore the influencing factors of treatment compliance in children with BA.The nomogram model for predicting the risk of poor treatment compliance in children with BA was constructed by using the R 3.6.3 software and"rms"package.Hosmer-Lemeshow goodness of fit test was used to evaluate the fitting degree of the nomogram model in training set and validation set.ROC curve was used to analyze the predictive value of the nomogram model for poor treatment compliance in children with BA in training set and validation set.Results There were significant differences in age,maternal education level,parental understanding of BA knowledge,parental trust in medical staff,proportion of adverse reactions,and severity of disease between poor compliance group and good compliance group(P<0.05).Multivariate Logistic regression analysis showed that age[OR=3.008,95%CI(1.720-5.260)],adverse reactions[OR=4.246,95%CI(2.229-8.088)],and severity of the disease[OR=3.195,95%CI(1.812-5.632)]were independent influencing factors of treatment compliance in children with BA(P<0.05).The nomogram model for poor predicting treatment compliance in children with BA was constructed according to above factors.The Hosmer-Lemeshow goodness of fit test showed that the nomogram model fitted well in the training set and validation set(P>0.05).The ROC curve analysis showed that the AUC of the nomogram model for predicting poor treatment compliance in children with BA in the training set and validation set was 0.743[95%CI(0.682-0.804)]and 0.778[95%CI(0.691-0.866)],respectively.Conclusion Age,adverse reactions,and severity of disease are independent influencing factors for treatment compliance in children with BA,and the risk prediction nomogram model for poor treatment compliance in children with BA constructed based on these factors has good fitting degree and certain discriminative ability.
Bronchial asthmaChildTreatment adherence and complianceRoot cause analysisNomograms
万方数据
维普
