LOGOGRAM: Validation of Allergy Care Flowcharts in Primary Care: Experience From Occitanie
NCT07631039 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 600
Last updated 2026-06-05
Summary
This study, aimed at validating decision trees developed through collaboration between general practitioners and allergists, seeks to provide French data to optimize care pathways for patients with allergic diseases from the primary care level and to reduce the delays and negative consequences associated with incorrect diagnoses. Most patients with allergic conditions are initially seen in primary care, often during exacerbations. Although allergies, in their many clinical forms, account for approximately 6-8% of primary care consultations, clinicians frequently receive little or no formal training in this field and may not be fully aware of the latest evidence, associated risks, or appropriate referral pathways. These gaps can significantly affect the quality of care and patients' quality of life, while also contributing to higher morbidity and mortality. In this context, the European Academy of Allergy and Clinical Immunology established a multidisciplinary task force to transform existing allergy guidelines into simple, practical, and accessible tools to facilitate diagnosis and management in primary care. The group developed five decision trees covering asthma, anaphylaxis, drug allergy, food allergy, rhinitis, and urticaria to support primary care physicians and other non-specialists in managing patients with symptoms suggestive of allergic or hypersensitivity reactions. The results of this project will be directly applicable to the daily clinical practice of general practitioners in France and could serve as a model for replication in other regions and countries, although adaptations may be required depending on national healthcare systems.
Conditions
- Allergy
Interventions
- OTHER
-
Implementation of an innovative tool based around AI-automated decision trees on an application
The application provides immediate access to the algorithms (decision trees). Investigators can access a dedicated interface and enter participant data, including the suspected diagnosis, symptoms, acute episode or history of allergic disease, and the medical decision made (diagnosis, therapeutic management, or referral to a specialist). Management options based on the five algorithms are then generated to support physicians in the diagnosis and management of allergic diseases.
Sponsors & Collaborators
-
University Hospital, Montpellier
lead OTHER
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- SEQUENTIAL
Eligibility
- Min Age
- 1 Year
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-09-30
- Primary Completion
- 2030-09-30
- Completion
- 2030-09-30
Countries
- France
Study Locations
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