Validation of the accuracy of the childhood asthma model for clinical decision support: a study protocol

Area of Science:

• Pediatric Pulmonology
• Clinical Decision Support Systems
• Health Informatics

Background:

• Childhood asthma prevalence in China has risen significantly, necessitating tailored clinical decision support.
• Existing systems may not adequately address the specific context of pediatric asthma care in China.
• A localized approach is crucial for effective asthma management in Chinese children.

Purpose of the Study:

• To evaluate the diagnostic accuracy of the Childhood Asthma Model for Clinical Decision Support (CAMCDS) in Chinese children.
• To assess the treatment-predicting accuracy of the CAMCDS model for pediatric asthma.
• To explore factors influencing the implementation of CAMCDS in routine clinical practice in China.

Main Methods:

• Prospective, multicenter, observational study across four Shanghai hospitals.
• Two-phase evaluation: Phase I for diagnostic accuracy, Phase II for treatment prediction.
• Utilized receiver operating characteristic (ROC) curves for accuracy assessment against pediatrician diagnoses; analyzed treatment patterns and implementation factors.

Main Results:

• The study is designed to provide the first examination of CAMCDS diagnostic and treatment accuracy in Chinese pediatric asthma patients.
• Data collection involves 817 children with stable asthma and 545 with suspected asthma.
• Analysis will compare CAMCDS predictions with clinical diagnoses and real-world treatment patterns.

Conclusions:

• This research pioneers the evaluation of a clinical decision support system for pediatric asthma in China.
• The study anticipates that CAMCDS will enhance diagnostic and therapeutic strategies for pediatric asthma.
• Findings aim to empower pediatricians, particularly in basic-level hospitals, with improved asthma management tools.