MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis
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- dc.contributor.author Bousquet, Jeanca
- dc.contributor.author MASK study groupca
- dc.contributor.author Antó i Boqué, Josep Mariaca
- dc.contributor.author Sunyer Deu, Jordica
- dc.date.accessioned 2017-03-31T10:44:55Z
- dc.date.available 2017-03-31T10:44:55Z
- dc.date.issued 2016
- dc.description.abstract The selection of pharmacotherapy for patients with allergic rhinitis (AR) depends on several factors, including age, prominent symptoms, symptom severity, control of AR, patient preferences, and cost. Allergen exposure and the resulting symptoms vary, and treatment adjustment is required. Clinical decision support systems (CDSSs) might be beneficial for the assessment of disease control. CDSSs should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine treatment and its step-up or step-down strategy depending on AR control. Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR [fighting chronic diseases for active and healthy ageing]), one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (the MACVIA-ARIA Sentinel Network). A CDSS is currently being developed to optimize AR control. An algorithm developed by consensus is presented in this article. This algorithm should be confirmed by appropriate trials.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Mousquet J, Schünemann HJ, Hellings PW, Arnavielhe S, Bachert C. MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis. Journal of Allergy and Clinical Immunology. 2016;138(2):367-74. DOI: 10.1016/j.jaci.2016.03.025
- dc.identifier.doi http://dx.doi.org/10.1016/j.jaci.2016.03.025
- dc.identifier.issn 0091-6749
- dc.identifier.uri http://hdl.handle.net/10230/28356
- dc.language.iso eng
- dc.publisher Elsevierca
- dc.relation.ispartof Journal of Allergy and Clinical Immunology. 2016;138(2):367-74
- dc.rights © 2016 The Authors. Published by Elsevier Inc. on behalf of the American Academy of Allergy, Asthma & Immunology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
- dc.subject.keyword Allergic rhinitis
- dc.subject.keyword Conjuctivitis
- dc.subject.keyword Allergic Rhinitis and its Impact on Asthma
- dc.subject.keyword MACVIA-LR
- dc.subject.keyword Information and communication technology
- dc.subject.keyword Clinical decision support system
- dc.title MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitisca
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion