Early Identification of Children With Asthma (IDEA)

University Hospital, Rouen

Status: Not yet enrolling

Conditions: Asthma in Children

Treatments: Diagnostic Test: Group of children identified by the algorithm as having asthma; Diagnostic Test: Group of children not identified by the algorithm as having asthma

Study type: Observational

Funder types: Other

Identifiers

NCT06988358

2022/0349/HP

Details and patient eligibility

About

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.

Full description

Asthma is the most common chronic disease affecting children. It is defined by repeated episodes of heterogeneous respiratory symptoms, such as wheezing, breathlessness, chest tightness and cough, which vary in time and intensity, as well as variable expiratory flow limitation. Asthma in pre-school children corresponds to asthma in children under the age of 6.

Diagnosis in children is particularly complex, due to the difficulty of performing respiratory tests such as spirometry, and the fact that symptoms often diminish with age. Diagnosis is based on a number of factors, including response to treatment and the absence of a differential diagnosis. Although asthma in pre-school children is frequent and sometimes serious, it is under-diagnosed and not optimally treated. GPs are among the key players in the early diagnosis of chronic diseases, 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 at an early stage, thereby reducing 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.

Enrollment: 300 estimated patients

Sex: All

Ages: 24 to 71 months old

Volunteers: No Healthy Volunteers

Inclusion criteria

• 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

Exclusion criteria

• 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