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Clinical and translational allergy · 2022

Real-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities.

СтатьяНазвание и аннотация: Перевод в очереди
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Sousa-Pinto Bernardo, Anto Aram, Berger Markus, Dramburg Stephanie, Pfaar Oliver, Klimek Ludger, Jutel Marek, Czarlewski Wienczyslawa, Bedbrook Anna, Valiulis Arunas, Agache Ioana, Amaral Rita, Ansotegui Ignacio J, Bastl Katharina, Berger Uwe, Bergmann Karl C, Bosnic-Anticevich Sinthia, Braido Fulvio, Brussino Luisa, Cardona Victoria, Casale Thomas, Canonica G Walter, Cecchi Lorenzo, Charpin Denis, Chivato Tomás, Chu Derek K, Cingi Cemal, Costa Elisio M, Cruz Alvaro A, Devillier Philippe, Durham Stephen R, Ebisawa Motohiro, Fiocchi Alessandro, Fokkens Wytske J, Gemicioğlu Bilun, Gotua Maia, Guzmán Maria-Antonieta, Haahtela Tari, Ivancevich Juan Carlos, Kuna Piotr, Kaidashev Igor, Khaitov Musa, Kvedariene Violeta, Larenas-Linnemann Désirée E, Lipworth Brian, Laune Daniel, Matricardi Paolo M, Morais-Almeida Mario, Mullol Joaquim, Naclerio Robert, Neffen Hugo, Nekam Kristoff, Niedoszytko Marek, Okamoto Yoshitaka, Papadopoulos Nikolaos G, Park Hae-Sim, Passalacqua Giovanni, Patella Vincenzo, Pelosi Simone, Pham-Thi Nhân, Popov Ted A, Regateiro Frederico S, Reitsma Sietze, Rodriguez-Gonzales Monica, Rosario Nelson, Rouadi Philip W, Samolinski Boleslaw, Sá-Sousa Ana, Sastre Joaquin, Sheikh Aziz, Ulrik Charlotte Suppli, Taborda-Barata Luis, Todo-Bom Ana, Tomazic Peter Valentin, Toppila-Salmi Sanna, Tripodi Salvatore, Tsiligianni Ioanna, Valovirta Erkka, Ventura Maria Teresa, Valero Antonio A, Vieira Rafael José, Wallace Dana, Waserman Susan, Williams Sian, Yorgancioglu Arzu, Zhang Luo, Zidarn Mihaela, Zuberbier Jaron, Olze Heidi, Antó Josep M, Zuberbier Torsten, Fonseca João A, Bousquet Jean

Аннотация

Digital health is an umbrella term which encompasses eHealth and benefits from areas such as advanced computer sciences. eHealth includes mHealth apps, which offer the potential to redesign aspects of healthcare delivery. The capacity of apps to collect large amounts of longitudinal, real-time, real-world data enables the progression of biomedical knowledge. Apps for rhinitis and rhinosinusitis were searched for in the Google Play and Apple App stores, via an automatic market research tool recently developed using JavaScript. Over 1500 apps for allergic rhinitis and rhinosinusitis were identified, some dealing with multimorbidity. However, only six apps for rhinitis (AirRater, AllergyMonitor, AllerSearch, Husteblume, MASK-air and Pollen App) and one for rhinosinusitis (Galenus Health) have so far published results in the scientific literature. These apps were reviewed for their validation, discovery of novel allergy phenotypes, optimisation of identifying the pollen season, novel approaches in diagnosis and management (pharmacotherapy and allergen immunotherapy) as well as adherence to treatment. Published evidence demonstrates the potential of mobile health apps to advance in the characterisation, diagnosis and management of rhinitis and rhinosinusitis patients.