NCT05826561

Developing a Childhood Asthma Risk Passive Digital Marker

• Status: Terminated
• Phase: N/A
• Study type: Interventional
• Enrollment: 34 (actual)
• Sponsor: Indiana University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

Underdiagnosis and undertreatment is a major problem in childhood asthma management, especially in preschool-aged children. Current prognostic approaches using risk-score based tools have poor-to-modest accuracy, are impractical, and have limited evidence of efficacy in clinical settings and hence are not widely used in practice. The objective of the study is to determine the usability, acceptability, feasibility, and preliminary efficacy of the childhood asthma passive digital marker (PDM) among pediatricians. The study will include practicing pediatricians within the IU Health Network.

Conditions

• Pediatric Asthma

Interventions

Type	Name	Description
OTHER	Childhood Asthma Passive Digital Marker	A childhood asthma Passive Digital Marker (PDM) is an ML algorithm that is able to retrieve and synthesize pre-existing "passively" collected mother/child dyad prognostic data in "digital" electronic health record (EHR) to provide an objective and quantifiable "marker" of a child's risk (probability) and associated pathophysiological phenotype to inform clinician decision-making at point-of-care.

Timeline

• Start date: 2024-06-01
• Primary completion: 2025-06-16
• Completion: 2025-06-16
• First posted: 2023-04-24
• Last updated: 2025-07-08

Locations

1 site across 1 country: United States