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Clinical Trial 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.


Clinical Trial 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.). ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05064579
Study type Observational
Source Assistance Publique - Hôpitaux de Paris
Contact David Drummond, MD
Phone 1 44 49 48 38
Email [email protected]
Status Not yet recruiting
Phase
Start date September 2021
Completion date June 2022

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