Towards an Algorithmic Approach to Asthma Management: Collaborative Definition of Algorithm Objectives With Families

NCT05064579 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 307

Last updated 2025-09-12

No results posted yet for this study

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.

Conditions

  • Childhood Asthma

Interventions

OTHER

Questionnaires

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 & Collaborators

  • URC-CIC Paris Descartes Necker Cochin

    collaborator OTHER
  • Assistance Publique - Hôpitaux de Paris

    lead OTHER

Principal Investigators

  • David Drummond, MD · Assistance Publique - Hôpitaux de Paris

Eligibility

Min Age
8 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-18
Primary Completion
2023-01-30
Completion
2023-01-30

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05064579 on ClinicalTrials.gov