Clinical and Translational Allergy (Nov 2022)

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

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

DOI
https://doi.org/10.1002/clt2.12208
Journal volume & issue
Vol. 12, no. 11
pp. n/a – n/a

Abstract

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Abstract 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.

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