Childhood Asthma
Conditions
Keywords
Childhood asthma, Algorithms for managing childhood asthma, Big data, Artificial intelligence
Brief summary
Using big data and artificial intelligence techniques, it becomes possible to envision algorithms for managing childhood asthma on a daily basis. In order to develop such tools, it is necessary to determine with asthma stakeholders (children, parents, doctors) the parameters that future algorithms should seek to maximize / minimize. The main objective of the study is to quantify the respective importance of each of the goals that children with asthma, parents, and their doctors seek to achieve when taking / supervising / prescribing a background therapy.
Detailed description
Using big data and artificial intelligence techniques, it becomes possible to envision algorithms for managing childhood asthma on a daily basis. In order to develop such tools, it is necessary to determine with asthma stakeholders (children, parents, doctors) the parameters that future algorithms should seek to maximize / minimize. The main objective of the study is to quantify the respective importance of each of the goals that children with asthma, parents, and their doctors seek to achieve when taking / supervising / prescribing a background therapy. To do this, parents and children fill out a paper questionnaire, which is completed by their doctor, when they come to the hospital for consultation, hospitalization, or to perform lung function tests. Concerning children and parents, these questionnaires include a part aimed at prioritizing each person's objectives and a second part collecting general information regarding their characteristics (age, sex, asthma history, etc.).
Interventions
OTHERQuestionnaires
Questionnaire in two parts: one part on the objectives related to taking the treatment and the objectives related to the treatment modality and a second part on the general characteristics of each participant and the characteristics of the child's asthma.
Sponsors
URC-CIC Paris Descartes Necker Cochin
Assistance Publique - Hôpitaux de Paris
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
8 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Minor patients aged 8 years to 17 years and 11 months inclusive with a diagnosis of asthma made by a doctor and a basic treatment for asthma * Holders of parental authority for patients meeting the above criteria * Doctors caring for children with asthma * Information and non-opposition of holders of parental authority and minor patients to participate in the study
Exclusion criteria
* Refusal to participate in the study * Difficulties in French writing and / or speaking
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Mean score attributed to each goal | Day 0 | Children, their parents (or holders of parental authority), and their doctors will be asked to allocate 20 points to 7 goals they want to prevent with the asthma controller treatment, and another 20 points to 5 goals regarding their treatment modality (more discreet, easier to take, etc). The score for each goal will range from 0 (objective not important to the respondent) to 20 (objective of major importance to the respondent). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Correlation of goals between respondents | Day 0 | For each goal, the correlation of the scores attributed by children, their parents, and their doctors, will be calculated. |
Countries
France
Outcome results
None listed