Early Identification of Children With Asthma

Sponsor
University Hospital, Rouen
Study ID
NCT06988358
Status
Not Yet Recruiting

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Conditions

  • Asthma in Children

Eligibility Criteria

Sex
ALL
Age
24 Months - 71 Months
Healthy Volunteers
Not accepted

Interventions

  • Group of children identified by the algorithm as having asthma — DIAGNOSTIC_TEST
    150 medical files of children identified by the algorithm as having asthma will be randomly selected for expert appraisal.
  • Group of children not identified by the algorithm as having asthma — DIAGNOSTIC_TEST
    150 medical files of children not identified by the algorithm as having asthma will be randomly selected for expert appraisal.

Study Details

GPs are one of the key players in the early diagnosis of chronic diseases, such as asthma in pre-school children, by detecting symptoms of illness as early as possible. Patient health data is collected on an ongoing basis in GPs' electronic medical records, but remains little exploited despite its potential. Helping GPs to identify asthma in pre-school children, based on the information in their electronic medical records, could help them to diagnose the condition early and thereby reduce the morbidity and mortality associated with it. An algorithm developed and evaluated in a primary care data warehouse should help GPs to identify children with a diagnosis of asthma at an early stage.

Key Dates

First listed
May 23, 2025
Start date
Dec 30, 2025
Status verified
Jan 2025
Primary completion
Dec 31, 2026
Completion
Jun 30, 2027

Study Design

Enrollment
300 participants (estimated)

Primary Outcome Measure

Evaluating the sensitivity of an algorithm for the early identification of extracurricular children with asthma [ Time Frame: At enrollment visit ]

Central Contacts

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