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Development of algorithms for the diagnosis and management of acute allergy in primary practice.
- Source :
-
The World Allergy Organization journal [World Allergy Organ J] 2019 Mar 25; Vol. 12 (3), pp. 100022. Date of Electronic Publication: 2019 Mar 25 (Print Publication: 2019). - Publication Year :
- 2019
-
Abstract
- Most patients presenting with allergies are first seen in the primary care setting. However, inadequacies in training and available guidance for general practitioners (GP) have been identified as significantly impacting the quality of care for these patients, resulting in inefficient use of healthcare resources. To address the lack of available guidance, a working group of French allergists has developed a series of online tools aimed at GPs. The expert panel developed algorithms for the diagnosis and treatment of common allergies by incorporating deliberations based on clinical guidelines and experience. In addition, they developed tables of common symptoms and detailed clinical cases that guide GPs through the typical decisions they are faced with in line with current best practice. These tools translate evidence-based recommendations from international clinical guidelines, outlining the key steps involved and assisting the physician in making decisions at each step. In addition to targeting improvements in diagnosis and standard of primary care, the tools also aim to reduce the burden on specialist allergy services by enabling GPs to diagnose and treat mild and moderate allergies, referring only severe and/or atypical cases to secondary care. The tools are adapted to the high primary care workload, enabling the physician to access essential information rapidly without unnecessary referrals to specialist allergy services.
Details
- Language :
- English
- ISSN :
- 1939-4551
- Volume :
- 12
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- The World Allergy Organization journal
- Publication Type :
- Academic Journal
- Accession number :
- 30937144
- Full Text :
- https://doi.org/10.1016/j.waojou.2019.100022