Improving allergy management and treatment: a proposed algorithm and curriculum for prescribing allergen immunotherapy in the primary care setting
Notice bibliographique
Résumé
Allergic rhinitis (AR), a condition characterized by sensitivity to allergens leading to poor quality of life, including disrupted sleep, reduced vitality, lowered mood, changes in blood pressure limited frustration tolerance, impaired focus, decreased performance in academic and professional settings, and millions of missed work and school days every year. Approximately 20–40% of individuals in the United States are affected by AR, which carries notable clinical and financial burdens. Interestingly, there is a strong link between AR and asthma to the extent that countries with a high prevalence of rhinitis have asthma rates ranging from 10% to 25%. Research has indicated that Allergen Immunotherapy (AIT) is associated with improved AR symptoms, a potential to resolve the AR over time, a decreased likelihood of asthma exacerbations and incidence of pneumonia in individuals with concurrent asthma, which are advantages that persist for years even after the cessation of treatment. Although patients presenting with allergies are first seen and treated in the primary care setting, gaps in training and the lack of available guidance for primary care practitioners have significantly impacted the quality of care for these patients with persistent AR symptoms, resulting in inefficient use of healthcare resources. To complicate matters, there is an insufficiency of allergists and immunologists, impacting the capacity to provide next-level care to the number of AR patients who could benefit from AIT. Hence, there is a critical need to equip primary care providers with educational experiences on essential concepts related to immune responses in allergies and asthma, recognizing the significance of the common airway in treating these entities and familiarization with the scientific evidence supporting various options for AIT. The development and implementation of medical education and algorithms designed to assess diverse patients’ symptoms, pharmacotherapy approaches, and situations where AIT can be initiated or sustained are warranted. The present commentary proposes a workflow model of the critical steps for managing and treating mild to moderate respiratory allergies via AIT in primary care settings. In addition, the initial development of medical education programs to minimize the burden on allergy-specialized care while, importantly, actively improving patient outcomes will be discussed.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».