[Do clinical decision models improve the triage of acutely ill children?]

Area of Science:

• Pediatrics
• Primary Care Medicine
• Health Informatics

Background:

• Acute infections are common in children presenting to primary care, necessitating early recognition of serious cases to prevent complications.
• Clinical decision models (CDMs) offer potential for improving diagnostic accuracy in pediatric primary care.
• Despite numerous CDMs developed, few demonstrate cost-effectiveness, limiting their widespread implementation.

Purpose of the Study:

• To evaluate the effectiveness and generalizability of a recently developed clinical decision model for identifying hospitalized acutely ill children in primary care.
• To assess the cost-effectiveness and practical utility of CDMs in pediatric primary care settings.

Main Methods:

• A clinical decision model was developed and validated in cohorts of acutely ill children presenting to Belgian primary care.
• The model's performance in identifying children requiring hospitalization for acute infections was assessed.

Main Results:

• The developed CDM demonstrated impressive results in identifying hospitalized children with acute infections within the study cohort.
• Concerns remain regarding the generalizability of the model to diverse primary care populations and its overall cost-effectiveness.

Conclusions:

• Current clinical decision models may not yet be capable of significantly improving diagnostic decision-making for acutely ill children in primary care.
• Telephone triage by general practitioners is proposed as a potentially more effective and cost-efficient alternative for managing pediatric acute infections.