Early Identification of Children With Asthma
ConditionAsthma in Children
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age24-71
SponsorUniversity Hospital, Rouen
About this trial
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.
Eligibility criteria
Qualifiers
Children aged 2 years 0 days to 5 years 11 months and 30 days inclusive
Consultation in one of the 4 Maisons de Santé Pluriprofessionnelle connected to the PRIMEGE Normandie primary care data warehouse: Neufchâtel-en-Bray, Val-de-Reuil, Le Grand-Quevilly and Rouen Carmes.
At least two consultations between the ages of 2 and 5, with a general practitioner in the same care setting
Parents having been informed of the use of data from electronic medical records and having expressed no objection to the use of this data
Disqualifiers
Children under 2 years of age
Children aged 6 years 0 days and over
Recourse by a patient's legal representative to one of the RGPD rights restricting the use of their data in the context of research
Trial design
Treatments tested in this trial
- Group of children identified by the algorithm as having asthma
- Group of children not identified by the algorithm as having asthma
Treatment groups
No treatment groups listed
Sponsors and collaborators
Source ClinicalTrials.gov