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

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dc.contributor.authorSousa-Pinto B.
dc.contributor.authorAnto A.
dc.contributor.authorBerger M.
dc.contributor.authorDramburg S.
dc.contributor.authorPfaar O.
dc.contributor.authorKlimek L.
dc.contributor.authorJutel M.
dc.contributor.authorCzarlewski W.
dc.contributor.authorBedbrook A.
dc.contributor.authorValiulis A.
dc.contributor.authorAgache I.
dc.contributor.authorAmaral R.
dc.contributor.authorAnsotegui I.J.
dc.contributor.authorBastl K.
dc.contributor.authorBerger U.
dc.contributor.authorBergmann K.C.
dc.contributor.authorBosnic-Anticevich S.
dc.contributor.authorBraido F.
dc.contributor.authorBrussino L.
dc.contributor.authorCardona V.
dc.contributor.authorCasale T.
dc.contributor.authorCanonica G.W.
dc.contributor.authorCecchi L.
dc.contributor.authorCharpin D.
dc.contributor.authorChivato T.
dc.contributor.authorChu D.K.
dc.contributor.authorCingi C.
dc.contributor.authorCosta E.M.
dc.contributor.authorCruz A.A.
dc.contributor.authorDevillier P.
dc.contributor.authorDurham S.R.
dc.contributor.authorEbisawa M.
dc.contributor.authorFiocchi A.
dc.contributor.authorFokkens W.J.
dc.contributor.authorGemicioğlu B.
dc.contributor.authorGotua M.
dc.contributor.authorGuzmán M.-A.
dc.contributor.authorHaahtela T.
dc.contributor.authorIvancevich J.C.
dc.contributor.authorKuna P.
dc.contributor.authorKaidashev I.
dc.contributor.authorKhaitov M.
dc.contributor.authorKvedariene V.
dc.contributor.authorLarenas-Linnemann D.E.
dc.contributor.authorLipworth B.
dc.contributor.authorLaune D.
dc.contributor.authorMatricardi P.M.
dc.contributor.authorMorais-Almeida M.
dc.contributor.authorMullol J.
dc.contributor.authorNaclerio R.
dc.contributor.authorNeffen H.
dc.contributor.authorNekam K.
dc.contributor.authorNiedoszytko M.
dc.contributor.authorOkamoto Y.
dc.contributor.authorPapadopoulos N.G.
dc.contributor.authorPark H.-S.
dc.contributor.authorPassalacqua G.
dc.contributor.authorPatella V.
dc.contributor.authorPelosi S.
dc.contributor.authorPham-Thi N.
dc.contributor.authorPopov T.A.
dc.contributor.authorRegateiro F.S.
dc.contributor.authorReitsma S.
dc.contributor.authorRodriguez-Gonzales M.
dc.contributor.authorRosario N.
dc.contributor.authorRouadi P.W.
dc.contributor.authorSamolinski B.
dc.contributor.authorSá-Sousa A.
dc.contributor.authorSastre J.
dc.contributor.authorSheikh A.
dc.contributor.authorUlrik C.S.
dc.contributor.authorTaborda-Barata L.
dc.contributor.authorTodo-Bom A.
dc.contributor.authorTomazic P.V.
dc.contributor.authorToppila-Salmi S.
dc.contributor.authorTripodi S.
dc.contributor.authorTsiligianni I.
dc.contributor.authorValovirta E.
dc.contributor.authorVentura M.T.
dc.contributor.authorValero A.A.
dc.contributor.authorVieira R.J.
dc.contributor.authorWallace D.
dc.contributor.authorWaserman S.
dc.contributor.authorWilliams S.
dc.contributor.authorYorgancioglu A.
dc.contributor.authorZhang L.
dc.contributor.authorZidarn M.
dc.contributor.authorZuberbier J.
dc.contributor.authorOlze H.
dc.contributor.authorAntó J.M.
dc.contributor.authorZuberbier T.
dc.contributor.authorFonseca J.A.
dc.contributor.authorBousquet J.
dc.date.accessioned2024-07-22T08:03:55Z
dc.date.available2024-07-22T08:03:55Z
dc.date.issued2022
dc.description.abstractDigital 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. © 2022 The Authors. Clinical and Translational Allergy published by John Wiley and Sons Ltd on behalf of European Academy of Allergy and Clinical Immunology.
dc.identifier.DOI-ID10.1002/clt2.12208
dc.identifier.issn20457022
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/12480
dc.language.isoEnglish
dc.publisherJohn Wiley and Sons Inc
dc.rightsAll Open Access; Gold Open Access
dc.subjectazelastine plus fluticasone propionate
dc.subjectcorticosteroid
dc.subjectair pollution
dc.subjectallergic rhinitis
dc.subjectArticle
dc.subjectchronic rhinosinusitis
dc.subjectcost effectiveness analysis
dc.subjectdesensitization
dc.subjectdisease severity
dc.subjecteconomic crisis
dc.subjecthuman
dc.subjectimmunotherapy
dc.subjectmarketing
dc.subjectmultiple chronic conditions
dc.subjectotorhinolaryngology
dc.subjectpatient compliance
dc.subjectpharmacological parameters
dc.subjectpollen
dc.subjectpollen allergy
dc.subjectpublication
dc.subjectrhinitis
dc.subjectrhinosinusitis
dc.titleReal-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities
dc.typeArticle

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