Bronchial asthma in children is a prevalent chronic condition that adversely affects respiratory health, leading to significant healthcare costs and diminished quality of life. Current management strategies, primarily involving inhaled corticosteroids and bronchodilators, are often hindered by poor adherence and inadequate monitoring. This study aimed to evaluate the effectiveness of an intelligent management system compared to traditional methods in enhancing asthma management in pediatric patients. Utilizing a randomized controlled trial design with a 12-month follow-up, 208 children aged 6-12 years with diagnosed asthma were enrolled, with the experimental group (120 cases) receiving real-time monitoring and reminders through the intelligent system as an addition to traditional follow-ups, while the control group (88 cases) underwent conventional outpatient follow-ups. Key findings indicated that the experimental group exhibited significant improvements in medication adherence (89.2% vs 58.0%, P < 0.001), lung function (FEV1% predicted change +12.3% vs +4.2%, P < 0.001), asthma control levels (C-ACT score 22.5 ± 2.8 vs 18.1 ± 3.2, P < 0.001), and a marked reduction in airway inflammation (FeNO levels decreased by 42.9% vs 17.1%, P < 0.001). Additionally, quality of life scores improved significantly (PAQLQ total score 6.8 ± 0.9 vs 5.1 ± 1.3, P < 0.001). In conclusion, this multifaceted intelligent management system, incorporating real-time monitoring, reminders, and remote clinical support, markedly enhances lung function, reduces airway inflammation, and improves quality of life in children with asthma, highlighting its potential as a transformative approach in asthma management.While the comprehensive approach proved effective, further research is needed to identify the most impactful components to facilitate broader implementation.Future research should explore long-term impacts and the integration of psychological support within these management strategies.
Wang et al. (Thu,) studied this question.