Electronic questionnaires for symptoms monitoring will facilitate the diagnosis and therapy in allergic rhinitis
Main Article Content
Abstract
Allergic rhinitis is the most common disease in allergy specialist’s practice and one of the most common in general practice. The guidelines for allergic rhinitis management have been developed and improved thanks to ARIA initiative. Despite clear treatment schedules, in some patients satisfactory results are not achieved. In 2015 the document entitled: MACVIA-ARIA Sentinel NetworK for allergic rhinitis (MASK- -rhinitis): the new generation guideline implementation was published. It is devoted to the implementation of new technological tools and clinical decision support system for improvement of allergic rhinitis diagnosis and management. Better symptoms control in allergic rhinitis may be obtained thanks to the application that allows to monitor symptoms in patient.
Downloads
Article Details
Copyright: © Medical Education sp. z o.o. This is an Open Access article distributed under the terms of the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). License (https://creativecommons.org/licenses/by-nc/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
Address reprint requests to: Medical Education, Marcin Kuźma (marcin.kuzma@mededu.pl)
References
2. Brozek J.L., Bousquet J., Baena-Cagnani C.E. et al.: Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines: 2010 revision. J. Allergy Clin. Immunol. 2010, 126(3): 466-476.
3. Hellings P.W., Fokkens W.J., Akdis C. et al.: Uncontrolled allergic rhinitis and chronic rhinosinusitis: where do we stand today? Allergy 2013, 68(1): 1-7.
4. Fokkens W.J., Lund V.J., Mullol J. et al.: European Position Paper on Rhinosinusitis and Nasal Polyps 2012. Rhinology 2012, 50(1): 1-12.
5. Rapiejko P., Lipiec A.: Etiologia alergicznego nieżytu nosa. Post. Dermatol. Alergol. 2013, 31(supl. 2): 7-10.
6. Haynes R.B., Ackloo E., Sahota N. et al.: Interventions for enhancing medication adherence. Cochrane Database Syst. Rev. 2008: CD000011.
7. Bousquet J., Schunemann H.J., Fonseca J. et al.: MACVIA-ARIA Sentinel NetworK for allergic rhinitis (MASK-rhinitis): The new generation guideline implementation. Allergy 2015, 70(11): 1372-1392.
8. Caillaud D., Martin S., Segala C. et al.: Effects of airborne birch pollen levels on clinical symptoms of seasonal allergic rhinoconjunctivitis. Int. Arch. Allergy Immunol. 2014, 163(1): 43-50.
9. Caillaud D.M., Martin S., Segala C. et al.: Nonlinear short-term effects of airborne Poaceae levels on hay fever symptoms. J. Allergy Clin. Immunol. 2012, 130(3): 812-814.
10. Frenz D.A.: Interpreting atmospheric pollen counts for use in clinical allergy: spatial variability. Ann. Allergy Asthma Immunol. 2000, 84(5): 481-489.
11. Annesi-Maesano I., Rouve S., Desqueyroux H. et al.: Grass pollen counts, air pollution levels and allergic rhinitis severity. Int. Arch. Allergy Immunol. 2012, 158(4): 397-404.
12. Rapiejko P., Stankiewicz W., Szczygielski K., Jurkiewicz D.: Progowe stężenia pyłku roślin niezbędne do wywołania objawów uczuleniowych. (Threshold pollen count necessary to evoke allergic symptoms). Otolaryngol. Pol. 2007, 61(4): 591-594
13. Wang K., Wang C., Xi L. et al.: A randomized controlled trial to assess adherence to allergic rhinitis treatment following a daily short message service (SMS) via the mobile phone. Int. Arch. Allergy Immunol. 2014, 163(1): 51-58.
14. Gurol-Urganci I., de Jongh T., Vodopivec-Jamsek V. et al.: Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst. Rev. 2013, 12: CD007458.