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Digital Tools in Allergy and Respiratory Care

Abstract

Patient care in the allergy and respiratory fields is advancing rapidly, offering the possibility of the inclusion of a variety of digital tools that aim to improve outcomes of care. Impaired access to several health care facilities during the COVID-19 pandemic has considerably increased the appetite and need for the inclusion of e-health tools amongst end-users. Consequently, a multitude of different e-health tools have been launched worldwide with various registration and access options, and with a wide range of offered benefits. From the perspective of both patients and healthcare providers (HCPs), as well as from a legal and device-related perspective, several features are important for the acceptance, effectiveness,and long-term use of e-health tools. Patients and physicians have different needs and expectations of how digital tools might be of help in the care pathway. There is a need for standardization by defining quality assurance criteria. Therefore, the Upper Airway Diseases Committee of the World Allergy Organization (WAO) has taken the initiative to define and propose criteria for quality, appeal, and applicability of e-health tools in the allergy and respiratory care fields from a patient, clinician, and academic perspective with the ultimate aim to improve patient health and outcomes of care.

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References
1.
Honkoop P, Simpson A, Bonini M, Snoeck-Stroband J, Meah S, Chung K . MyAirCoach: the use of home-monitoring and mHealth systems to predict deterioration in asthma control and the occurrence of asthma exacerbations; study protocol of an observational study. BMJ Open. 2017; 7(1):e013935. PMC: 5278295. DOI: 10.1136/bmjopen-2016-013935. View

2.
De Groot J, Wu D, Flynn D, Robertson D, Grant G, Sun J . Efficacy of telemedicine on glycaemic control in patients with type 2 diabetes: A meta-analysis. World J Diabetes. 2021; 12(2):170-197. PMC: 7839169. DOI: 10.4239/wjd.v12.i2.170. View

3.
Lee J, Choi M, Lee S, Jiang N . Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review. BMC Med Inform Decis Mak. 2018; 18(1):12. PMC: 5819153. DOI: 10.1186/s12911-018-0591-0. View

4.
Sleurs K, Seys S, Bousquet J, Fokkens W, Gorris S, Pugin B . Mobile health tools for the management of chronic respiratory diseases. Allergy. 2019; 74(7):1292-1306. DOI: 10.1111/all.13720. View

5.
Hamine S, Gerth-Guyette E, Faulx D, Green B, Ginsburg A . Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J Med Internet Res. 2015; 17(2):e52. PMC: 4376208. DOI: 10.2196/jmir.3951. View