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CA FIRST (California Febrile Infant Risk Stratification Tool) Algorithm Development in a Learning Health System
Tara L Greenhow1,2, Tran Hp Nguyen2,3, Beverly R Young2,3
1Division of Infectious Diseases, Department of Pediatrics, Kaiser Permanente Northern California, San Francisco, CA, USA.
The California Febrile Infant Risk Stratification Tool (CA FIRST) provides 13 algorithms to guide emergency department care for febrile infants. This tool enhances existing guidelines, ensuring safe and effective management for a broader age range and specific conditions.
Area of Science:
- Pediatrics
- Emergency Medicine
- Clinical Informatics
Background:
- Fever management in infants presenting to emergency departments (ED) lacks standardized approaches.
- Existing clinical guidelines, such as the Roseville Protocol (ROS) and American Academy of Pediatrics (AAP) Clinical Practice Guideline (CPG), have limitations.
- There is a need for refined algorithms to manage febrile infants effectively in community ED settings.
Purpose of the Study:
- To develop the California Febrile Infant Risk Stratification Tool (CA FIRST) by integrating components of the ROS and AAP CPG.
- To create a robust set of algorithms using community ED data for febrile infant risk stratification.
- To inform modifications of broader clinical guidance for managing febrile infants.
Main Methods:
- Retrospective analysis of 3527 febrile infants aged 7-90 days presenting to Kaiser Permanente Northern California EDs (2010-2019).
- Development of CA FIRST algorithms by melding ROS and AAP CPG components.
- Evaluation of CA FIRST performance characteristics and identification of enhancements for specific infant subgroups.
Main Results:
- CA FIRST algorithms demonstrated comparable performance to ROS and AAP CPG in infants aged 7-60 days.
- CA FIRST provides enhanced guidance for infants aged 61-90 days, high-risk infants, those with bronchiolitis, and post-vaccination fever.
- No invasive bacterial infections were observed in febrile infants with respiratory syncytial virus or post-vaccination fever within the study cohort.
Conclusions:
- The CA FIRST Algorithms offer a flexible and thoughtful approach to managing febrile infants, aiming to minimize unnecessary interventions.
- CA FIRST empowers clinicians with evidence-based tools for the management of most febrile infants.
- The algorithms are designed to be adaptive, incorporating new data within a learning healthcare system to provide current educational information.
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