In the past century, human beings had suffered several epidemic outbreaks of avian influenza, SARS, MERS and COVID-19, which posed a huge threat to human health (Reperant & Osterhaus, 2017;

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BackgroundEducation for asthmatic children in the outpatient department is insufficient.AimTo evaluate the efficacy of a nurse‐led education pathway, a standard education programme, on children with asthma.MethodsOne hundred and eighty participants enrolled and were randomly assigned to either the control group or the intervention group. The intervention group received predetermined step‐by‐step education sessions based on the self‐designed education pathway, while the control group received usual care. Asthma control, health‐related quality of life, and health‐care utilization measures were taken at baseline and at follow‐up visits between February 2016 and May 2018.ResultsSignificantly higher scores for health‐related quality of life and inhaler technique at the third‐month visit and asthma control test at the sixth‐month visit were seen in the intervention group. The numbers of unscheduled physician visits and school absences were lower in the intervention group than in the control group within 6 months. However, no significant differences were observed in emergency department visits and hospitalizations.ConclusionThe nurse‐led education pathway could be considered effective for children with asthma visiting the outpatient department.

Evaluating the resolution of parents of ill children can help in taking measures to alleviate their distress in a timely manner and promote children's rehabilitation. This study aims to develop and validate a nomogram for predicting the unresolved risk of parents of adolescents with psychiatric diagnoses. The data for 130 parents (modeling dataset = 90; validation dataset = 40) were collected. A nomogram was first developed to predict the unresolved risk for parents based on the logistic regression analysis in the modeling dataset. The internal and external validation then were conducted through quantifying the performance of the nomogram with respect to discrimination and calibration, respectively, in the modeling and validation datasets. Finally, the clinical use was evaluated through decision curve analyses (DCA) in the overall dataset. In the results, the nomogram consisted of six risk factors and provided a good discrimination with areas under the curve of 0.920 (95% CI, 0.862–0.978) in internal validation and 0.886 (95% CI, 0.786–0.986) in external validation. The calibration with good consistency between the observed probability and predicted probability was also found in both internal and external validation. DCA showed that the nomogram had a good clinical utility. In conclusion, the proposed nomogram exhibited a favorable performance with regard to its predictive accuracy, discrimination capability, and clinical utility, and, thus, can be used as a convenient and reliable tool for predicting the unresolved risk of parents of children with psychiatric diagnoses.