Adherence to Treatment in Allergic Rhinitis During the Pollen Season in Europe: A MASK‐air Study
ABSTRACT Background Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK‐air mHealth app to assess adherence to oral antihistamines (OAH), intra‐nasal corticosteroids (INCS) or azelastine‐fluticasone in patients with allergic rhinitis. Methods We inclu...
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| Vydané v: | Clinical and experimental allergy Ročník 55; číslo 3; s. 226 - 238 |
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| Médium: | Journal Article |
| Jazyk: | English |
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England
Wiley Subscription Services, Inc
01.03.2025
John Wiley and Sons Inc |
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| ISSN: | 0954-7894, 1365-2222, 1365-2222 |
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| Abstract | ABSTRACT
Background
Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK‐air mHealth app to assess adherence to oral antihistamines (OAH), intra‐nasal corticosteroids (INCS) or azelastine‐fluticasone in patients with allergic rhinitis.
Methods
We included regular European MASK‐air users with self‐reported allergic rhinitis and reporting at least 1 day of OAH, INCS or azelastine‐fluticasone. We assessed weeks during which patients answered the MASK‐air questionnaire on all days. We restricted our analyses to data provided between January and June, to encompass the pollen seasons across the different assessed countries. We analysed symptoms using visual analogue scales (VASs) and the combined symptom‐medication score (CSMS), performing stratified analyses by weekly adherence levels. Medication adherence was computed as the proportion of days in which patients reported rhinitis medication use. Sensitivity analyses were performed considering all weeks with at most 1 day of missing data and all months with at most 4 days of missing data.
Results
We assessed 8212 complete weeks (1361 users). Adherence (use of medication > 80% days) to specific drug classes ranged from 31.7% weeks for azelastine‐fluticasone to 38.5% weeks for OAH. Similar adherence to rhinitis medication was found in users with or without self‐reported asthma, except for INCS (better adherence in asthma patients). VAS and CSMS levels increased from no adherence to full adherence, except for INCS. A higher proportion of days with uncontrolled symptoms was observed in weeks with higher adherence. In full adherence weeks, 41.2% days reported rhinitis co‐medication. The sensitivity analyses displayed similar results.
Conclusions
A high adherence was found in patients reporting regular use of MASK‐air. Different adherence patterns were found for INCS compared to OAH or azelastine‐fluticasone that are likely to impact guidelines.
In a study assessing mobile health data, (i) adherence to rhinitis medication was highest for oral antihistamines and lowest for azelastine‐fluticasone, (ii) in weeks of partial adherence, azelastine‐fluticasone was associated with lower levels of reported rhinitis symptoms than other medication classes. |
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| AbstractList | Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK-air mHealth app to assess adherence to oral antihistamines (OAH), intra-nasal corticosteroids (INCS) or azelastine-fluticasone in patients with allergic rhinitis.BACKGROUNDAdherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK-air mHealth app to assess adherence to oral antihistamines (OAH), intra-nasal corticosteroids (INCS) or azelastine-fluticasone in patients with allergic rhinitis.We included regular European MASK-air users with self-reported allergic rhinitis and reporting at least 1 day of OAH, INCS or azelastine-fluticasone. We assessed weeks during which patients answered the MASK-air questionnaire on all days. We restricted our analyses to data provided between January and June, to encompass the pollen seasons across the different assessed countries. We analysed symptoms using visual analogue scales (VASs) and the combined symptom-medication score (CSMS), performing stratified analyses by weekly adherence levels. Medication adherence was computed as the proportion of days in which patients reported rhinitis medication use. Sensitivity analyses were performed considering all weeks with at most 1 day of missing data and all months with at most 4 days of missing data.METHODSWe included regular European MASK-air users with self-reported allergic rhinitis and reporting at least 1 day of OAH, INCS or azelastine-fluticasone. We assessed weeks during which patients answered the MASK-air questionnaire on all days. We restricted our analyses to data provided between January and June, to encompass the pollen seasons across the different assessed countries. We analysed symptoms using visual analogue scales (VASs) and the combined symptom-medication score (CSMS), performing stratified analyses by weekly adherence levels. Medication adherence was computed as the proportion of days in which patients reported rhinitis medication use. Sensitivity analyses were performed considering all weeks with at most 1 day of missing data and all months with at most 4 days of missing data.We assessed 8212 complete weeks (1361 users). Adherence (use of medication > 80% days) to specific drug classes ranged from 31.7% weeks for azelastine-fluticasone to 38.5% weeks for OAH. Similar adherence to rhinitis medication was found in users with or without self-reported asthma, except for INCS (better adherence in asthma patients). VAS and CSMS levels increased from no adherence to full adherence, except for INCS. A higher proportion of days with uncontrolled symptoms was observed in weeks with higher adherence. In full adherence weeks, 41.2% days reported rhinitis co-medication. The sensitivity analyses displayed similar results.RESULTSWe assessed 8212 complete weeks (1361 users). Adherence (use of medication > 80% days) to specific drug classes ranged from 31.7% weeks for azelastine-fluticasone to 38.5% weeks for OAH. Similar adherence to rhinitis medication was found in users with or without self-reported asthma, except for INCS (better adherence in asthma patients). VAS and CSMS levels increased from no adherence to full adherence, except for INCS. A higher proportion of days with uncontrolled symptoms was observed in weeks with higher adherence. In full adherence weeks, 41.2% days reported rhinitis co-medication. The sensitivity analyses displayed similar results.A high adherence was found in patients reporting regular use of MASK-air. Different adherence patterns were found for INCS compared to OAH or azelastine-fluticasone that are likely to impact guidelines.CONCLUSIONSA high adherence was found in patients reporting regular use of MASK-air. Different adherence patterns were found for INCS compared to OAH or azelastine-fluticasone that are likely to impact guidelines. In a study assessing mobile health data, (i) adherence to rhinitis medication was highest for oral antihistamines and lowest for azelastine‐fluticasone, (ii) in weeks of partial adherence, azelastine‐fluticasone was associated with lower levels of reported rhinitis symptoms than other medication classes. BackgroundAdherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK‐air mHealth app to assess adherence to oral antihistamines (OAH), intra‐nasal corticosteroids (INCS) or azelastine‐fluticasone in patients with allergic rhinitis.MethodsWe included regular European MASK‐air users with self‐reported allergic rhinitis and reporting at least 1 day of OAH, INCS or azelastine‐fluticasone. We assessed weeks during which patients answered the MASK‐air questionnaire on all days. We restricted our analyses to data provided between January and June, to encompass the pollen seasons across the different assessed countries. We analysed symptoms using visual analogue scales (VASs) and the combined symptom‐medication score (CSMS), performing stratified analyses by weekly adherence levels. Medication adherence was computed as the proportion of days in which patients reported rhinitis medication use. Sensitivity analyses were performed considering all weeks with at most 1 day of missing data and all months with at most 4 days of missing data.ResultsWe assessed 8212 complete weeks (1361 users). Adherence (use of medication > 80% days) to specific drug classes ranged from 31.7% weeks for azelastine‐fluticasone to 38.5% weeks for OAH. Similar adherence to rhinitis medication was found in users with or without self‐reported asthma, except for INCS (better adherence in asthma patients). VAS and CSMS levels increased from no adherence to full adherence, except for INCS. A higher proportion of days with uncontrolled symptoms was observed in weeks with higher adherence. In full adherence weeks, 41.2% days reported rhinitis co‐medication. The sensitivity analyses displayed similar results.ConclusionsA high adherence was found in patients reporting regular use of MASK‐air. Different adherence patterns were found for INCS compared to OAH or azelastine‐fluticasone that are likely to impact guidelines. ABSTRACT Background Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK‐air mHealth app to assess adherence to oral antihistamines (OAH), intra‐nasal corticosteroids (INCS) or azelastine‐fluticasone in patients with allergic rhinitis. Methods We included regular European MASK‐air users with self‐reported allergic rhinitis and reporting at least 1 day of OAH, INCS or azelastine‐fluticasone. We assessed weeks during which patients answered the MASK‐air questionnaire on all days. We restricted our analyses to data provided between January and June, to encompass the pollen seasons across the different assessed countries. We analysed symptoms using visual analogue scales (VASs) and the combined symptom‐medication score (CSMS), performing stratified analyses by weekly adherence levels. Medication adherence was computed as the proportion of days in which patients reported rhinitis medication use. Sensitivity analyses were performed considering all weeks with at most 1 day of missing data and all months with at most 4 days of missing data. Results We assessed 8212 complete weeks (1361 users). Adherence (use of medication > 80% days) to specific drug classes ranged from 31.7% weeks for azelastine‐fluticasone to 38.5% weeks for OAH. Similar adherence to rhinitis medication was found in users with or without self‐reported asthma, except for INCS (better adherence in asthma patients). VAS and CSMS levels increased from no adherence to full adherence, except for INCS. A higher proportion of days with uncontrolled symptoms was observed in weeks with higher adherence. In full adherence weeks, 41.2% days reported rhinitis co‐medication. The sensitivity analyses displayed similar results. Conclusions A high adherence was found in patients reporting regular use of MASK‐air. Different adherence patterns were found for INCS compared to OAH or azelastine‐fluticasone that are likely to impact guidelines. In a study assessing mobile health data, (i) adherence to rhinitis medication was highest for oral antihistamines and lowest for azelastine‐fluticasone, (ii) in weeks of partial adherence, azelastine‐fluticasone was associated with lower levels of reported rhinitis symptoms than other medication classes. Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK-air mHealth app to assess adherence to oral antihistamines (OAH), intra-nasal corticosteroids (INCS) or azelastine-fluticasone in patients with allergic rhinitis. We included regular European MASK-air users with self-reported allergic rhinitis and reporting at least 1 day of OAH, INCS or azelastine-fluticasone. We assessed weeks during which patients answered the MASK-air questionnaire on all days. We restricted our analyses to data provided between January and June, to encompass the pollen seasons across the different assessed countries. We analysed symptoms using visual analogue scales (VASs) and the combined symptom-medication score (CSMS), performing stratified analyses by weekly adherence levels. Medication adherence was computed as the proportion of days in which patients reported rhinitis medication use. Sensitivity analyses were performed considering all weeks with at most 1 day of missing data and all months with at most 4 days of missing data. We assessed 8212 complete weeks (1361 users). Adherence (use of medication > 80% days) to specific drug classes ranged from 31.7% weeks for azelastine-fluticasone to 38.5% weeks for OAH. Similar adherence to rhinitis medication was found in users with or without self-reported asthma, except for INCS (better adherence in asthma patients). VAS and CSMS levels increased from no adherence to full adherence, except for INCS. A higher proportion of days with uncontrolled symptoms was observed in weeks with higher adherence. In full adherence weeks, 41.2% days reported rhinitis co-medication. The sensitivity analyses displayed similar results. A high adherence was found in patients reporting regular use of MASK-air. Different adherence patterns were found for INCS compared to OAH or azelastine-fluticasone that are likely to impact guidelines. Background Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK-air mHealth app to assess adherence to oral antihistamines (OAH), intra-nasal corticosteroids (INCS) or azelastine-fluticasone in patients with allergic rhinitis. Methods We included regular European MASK-air users with self-reported allergic rhinitis and reporting at least 1 day of OAH, INCS or azelastine-fluticasone. We assessed weeks during which patients answered the MASK-air questionnaire on all days. We restricted our analyses to data provided between January and June, to encompass the pollen seasons across the different assessed countries. We analysed symptoms using visual analogue scales (VASs) and the combined symptom-medication score (CSMS), performing stratified analyses by weekly adherence levels. Medication adherence was computed as the proportion of days in which patients reported rhinitis medication use. Sensitivity analyses were performed considering all weeks with at most 1 day of missing data and all months with at most 4 days of missing data. Results We assessed 8212 complete weeks (1361 users). Adherence (use of medication > 80% days) to specific drug classes ranged from 31.7% weeks for azelastine-fluticasone to 38.5% weeks for OAH. Similar adherence to rhinitis medication was found in users with or without self-reported asthma, except for INCS (better adherence in asthma patients). VAS and CSMS levels increased from no adherence to full adherence, except for INCS. A higher proportion of days with uncontrolled symptoms was observed in weeks with higher adherence. In full adherence weeks, 41.2% days reported rhinitis co-medication. The sensitivity analyses displayed similar results. Conclusions A high adherence was found in patients reporting regular use of MASK-air. Different adherence patterns were found for INCS compared to OAH or azelastine-fluticasone that are likely to impact guidelines. |
| Author | Rivero‐Yeverino, Daniela Scichilone, Nicola Klimek, Ludger Robles‐Velasco, Karla Canonica, G. Walter Blay, Frédéric Valovirta, Erkka Bergmann, Karl C. O’Hehir, Robyn Gradauskiene, Brigita Cingi, Cemal Sova, Milan Pereira, Ana Margarida Okamoto, Yoshitaka Boulet, Louis‐Philippe Pfaar, Oliver Bousquet, Jean Kaidashev, Igor Pépin, Jean‐Louis Sheikh, Aziz Jutel, Marek Cordeiro, Carlos Robalo Bosnic‐Anticevich, Sinthia Taborda‐Barata, Luis Ventura, Maria Teresa Dykewicz, Mark Bedbrook, Anna Pham‐Thi, Nhân Laune, Daniel Kuna, Piotr Brusselle, Guy Maurer, Marcus Almeida, Rute Todo‐Bom, Ana Nadif, Rachel Rouadi, Philip W. Regateiro, Frederico S. Cardona, Victoria Makela, Mika Buhl, Roland Mullol, Joaquim Roche, Nicolas La Grutta, Stefania Blain, Hubert Sperl, Annette Shamji, Mohamed H. Tsiligianni, Ioanna Zuberbier, Torsten Kraxner, Helga Romantowski, Jan Corrigan, Christopher Giuliano, Antonio F. M. Louis, Gilles Toppila‐Salmi, Sanna K. Cherrez‐Ojeda, Ivan Samolinski, Boleslaw Niedoszytko, Marek Ansotegui, Ignacio J. Anto, Josep M. Jassem, Ewa Torres, |
| AuthorAffiliation | 65 Department of Respiratory Medicine and Tuberculosis University Hospital Brno Czech Republic 11 Department of Cardiovascular and Respiratory Sciences, Porto Health School Polytechnic Institute of Porto Porto Portugal 29 Institute of Allergology, Charité–Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany 31 Department of Biomedical Sciences Humanitas University, Pieve Emanuele Milan Italy 58 Division of Allergy and Clinical Immunology, Department of Medicine 'Santa Maria della Speranza' Hospital, Battipaglia Salerno Italy 10 Department of Women's and Children's Health, Paediatric Research Uppsala University Uppsala Sweden 1 MEDCIDS–Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine University of Porto Porto Portugal 63 Department of Otorhinolaryngology, Head and Neck Surgery Dar Al Shifa Hospital Salmiya Kuwait 7 ARIA Montpellier France 62 Department of Otolaryngology, Head and N |
| AuthorAffiliation_xml | – name: 14 Institute of Clinical Medicine, Clinic of Chest Diseases and Allergology, Faculty of Medicine Vilnius University Vilnius Lithuania – name: 49 KYomed INNOV Montpellier France – name: 65 Department of Respiratory Medicine and Tuberculosis University Hospital Brno Czech Republic – name: 12 Department of Medical Sciences University of Torino Torino Italy – name: 22 Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine University of Coimbra Coimbra Portugal – name: 71 Clinic of Asthma, Allergy, and Chronic Lung Diseases Vilnius Lithuania – name: 31 Department of Biomedical Sciences Humanitas University, Pieve Emanuele Milan Italy – name: 48 Department of Otorhinolaryngology, Head and Neck Surgery Semmelweis University Budapest Hungary – name: 68 Allergy Service, Fundacion Jimenez Diaz Universidad Autonoma de Madrid, CIBERES‐ISCIII Madrid Spain – name: 15 Institute of Biomedical Sciences, Department of Pathology, Faculty of Medicine Vilnius University Vilnius Lithuania – name: 13 Allergy and Clinical Immunology Unit Mauriziano Hospital Torino Italy – name: 56 Department of Allergology Medical University of Gdańsk Gdansk Poland – name: 37 Respiralab Research Group Guayaquil Guayas Ecuador – name: 53 Allergy Center CUF Descobertas Hospital Lisbon Portugal – name: 51 GIGA I3 Research Group University of Liège Liège Belgium – name: 47 Division of Internal Medicine, Asthma and Allergy, Barlicki University Hospital Medical University of Lodz Lodz Poland – name: 7 ARIA Montpellier France – name: 11 Department of Cardiovascular and Respiratory Sciences, Porto Health School Polytechnic Institute of Porto Porto Portugal – name: 6 Medical Consulting Czarlewski Levallois France – name: 21 Allergy and Clinical Immunology Department, Hospitais da Universidade de Coimbra Unidade Local de Saúde de Coimbra Coimbra Portugal – name: 59 Agency of Health ASL Salerno Italy – name: 46 Servicio de Alergia e Immunologia Clinica Santa Isabel Buenos Aires Argentina – name: 74 University Clinic of Respiratory and Allergic Diseases Golnik Slovenia – name: 42 Department of Otorhinolaryngology Amsterdam University Medical Centres, AMC Amsterdam the Netherlands – name: 45 Skin and Allergy Hospital Helsinki University Hospital, and University of Helsinki Helsinki Finland – name: 66 Department of Otorhinolaryngology University of Eastern Finland and the North Savo Wellbeing Services County Kuopio Finland – name: 24 UBIAir–Clinical & Experimental Lung Centre and CICS‐UBI Health Sciences Research Centre University of Beira Interior Covilhã Portugal – name: 33 Allergy Section, Department of Internal Medicine Hospital Vall d'Hebron Barcelona Spain – name: 32 Asthma and Allergy Unit IRCCS Humanitas Research Hospital, Rozzano Milan Italy – name: 2 CINTESIS@RISE–Centre for Health Technology and Services Research, Health Research Network, Faculty of Medicine University of Porto Porto Portugal – name: 52 Allergy Unit “D Kalogeromitros”, 2nd Dpt of Dermatology and Venereology, National & Kapodistrian University of Athens “Attikon” University Hospital Athens Greece – name: 50 Department of Pulmonary Medicine CHU Liège Liège Belgium – name: 40 Department of Medical Sciences and Public Health and Unit of Allergy and Clinical Immunology, University Hospital “Duilio Casula” University of Cagliari Cagliari Italy – name: 61 PaCeIT–Patient Centered Innovation and Technologies, Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine University of Porto Porto Portugal – name: 16 Center of Excellence in Asthma and Allergy Médica Sur Clinical Foundation and Hospital México City Mexico – name: 39 Fundaçao ProAR Federal University of Bahia and GARD/WHO Planning Group Salvador Bahia Brazil – name: 57 Allergy Department, 2nd Pediatric Clinic University of Athens Athens Greece – name: 69 Interdisciplinary Research Group of Human Ecology, Institute of Clinical Medicine and Institute of Health Sciences Medical Faculty of Vilnius University Vilnius Lithuania – name: 36 Universidad Espíritu Santo Samborondón Ecuador – name: 29 Institute of Allergology, Charité–Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany – name: 4 Department of Otolaryngology, Head and Neck Surgery Universitätsmedizin Mainz Mainz Germany – name: 67 Department of Allergy, Skin and Allergy Hospital, Inflammation Center Helsinki University Hospital and University of Helsinki Helsinki Finland – name: 60 Postgraduate Program in Allergy and Clinical Immunology University of Naples Federico II Naples Italy – name: 30 Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology and Allergology Berlin Germany – name: 25 Department of Immunoallergology Cova da Beira University Hospital Centre Covilhã Portugal – name: 73 Faculty of Medicine University of Ljubljana Ljubljana Slovenia – name: 35 SOS Allergology and Clinical Immunology USL Toscana Centro Prato Italy – name: 58 Division of Allergy and Clinical Immunology, Department of Medicine 'Santa Maria della Speranza' Hospital, Battipaglia Salerno Italy – name: 43 Department of Pulmonary Diseases, Istanbul University‐Cerrahpaşa Cerrahpaşa Faculty of Medicine Istanbul Turkey – name: 64 Department of Prevention of Environmental Hazards, Allergology and Immunology Medical University of Warsaw Warsaw Poland – name: 17 Department of Otorhinolaryngology Chiba University Hospital Chiba Japan – name: 70 Clinic of Children's Diseases, Institute of Clinical Medicine and Institute of Health Sciences Medical Faculty of Vilnius University Vilnius Lithuania – name: 19 IRBA (Institut de Recherche Bio‐Médicale des Armées) Bretigny sur Orge France – name: 38 Medical Faculty, ENT Department Eskisehir Osmangazi University Eskisehir Turkey – name: 72 Department of Pulmonary Diseases Celal Bayar University, Faculty of Medicine Manisa Turkey – name: 41 VIM Suresnes, UMR 0892, Pôle des Maladies des Voies Respiratoires, Hôpital Foch Université Paris‐Saclay Suresnes France – name: 3 CINTESIS@RISE, Biochemistry Lab, Faculty of Pharmacy and Competence Center on Active and Healthy Ageing University of Porto Porto Portugal – name: 23 Institute of Immunology, Faculty of Medicine University of Coimbra Coimbra Portugal – name: 8 Section of Rhinology and Allergy, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Marburg Philipps‐Universität Marburg Marburg Germany – name: 55 ClinCompetence Cologne GmbH Cologne Germany – name: 62 Department of Otolaryngology, Head and Neck Surgery Eye and Ear University Hospital Beirut Lebanon – name: 28 Department of Allergy and Immunology Hospital Quironsalud Bizkaia Bilbao Spain – name: 18 Ecole Polytechnique de Palaiseau Palaiseau France – name: 1 MEDCIDS–Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine University of Porto Porto Portugal – name: 34 ARADyAL Research Network Barcelona Spain – name: 27 Institute of Sciences of Food Production National Research Council (ISPA‐CNR) Bari Italy – name: 44 Institute of Pulmonology and Tuberculosis Istanbul University‐Cerrahpaşa Istanbul Turkey – name: 26 University of Bari Medical School Bari Italy – name: 54 Institute of Medical Statistics and Computational Biology University of Cologne Cologne Germany – name: 9 MASK‐Air SAS Montpellier France – name: 10 Department of Women's and Children's Health, Paediatric Research Uppsala University Uppsala Sweden – name: 5 Center for Rhinology and Allergology Wiesbaden Germany – name: 20 Université Paris Cité Paris France – name: 63 Department of Otorhinolaryngology, Head and Neck Surgery Dar Al Shifa Hospital Salmiya Kuwait |
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| Cites_doi | 10.1016/j.jaip.2024.06.040 10.1111/all.15199 10.1016/j.jaip.2022.07.020 10.1007/s11882-014-0507-8 10.1002/clt2.12062 10.1007/s12016‐016‐8542‐y 10.1016/j.jaci.2020.07.007 10.1097/ACI.0000000000000331 10.1136/bmj.g7731 10.1016/j.jaci.2017.03.050 10.1186/s13601-020-00342-x 10.1111/all.13406 10.1111/all.15371 10.1186/s13601-019-0252-0 10.3389/fphar.2018.01290 10.1016/j.jaci.2019.01.053 10.1111/cea.13333 10.1111/j.1365-2222.2012.04052.x 10.1002/clt2.12215 10.1111/all.15275 10.1016/j.jaci.2024.04.016 |
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| Contributor | Scichilone, Nicola Pépin, Jean-Louis Valovirta, Erkka Gradauskiene, Brigita Lourenço, Olga Rodriguez-Gonzalez, Monica Loureiro, Claudia Chaves de Vries, Govert Quirce, Santiago Okamoto, Yoshitaka Kaidashev, Igor Sheikh, Aziz Jutel, Marek Cordeiro, Carlos Robalo Brightling, Christopher Kulus, Marek Braido, Fulvio Fiocchi, Alessandro Dykewicz, Mark Ollert, Markus Todo-Bom, Ana Keil, Thomas Shamji, Mohamed H Savouré, Marine Brusselle, Guy Maurer, Marcus Almeida, Rute Sofiev, Mikhail Anto, Josep M Casale, Thomas Nadif, Rachel Jácome, Cristina O'Hehir, Robyn Olze, Heidi Rivero-Yeverino, Daniela Chivato, Tomas Usmani, Omar S Boulet, Louis-Philippe Giovannini, Mattia Makela, Mika Papi, Alberto Buhl, Roland Mullol, Joaquim Puggioni, Francesca Roche, Nicolas van Eerd, Michiel La Grutta, Stefania Bonini, Matteo Charpin, Denis Correia-de-Sousa, Jaime Blain, Hubert Sperl, Annette Torres, Maria J Tsiligianni, Ioanna de Blay, Frédéric Serpa, Faradiba S Giuliano, Antonio F M Ulrik, Charlotte Suppli Pétré, Benoit Romantowski, Jan Corrigan, Christopher Louis, Gi |
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| Copyright | 2025 The Author(s). published by John Wiley & Sons Ltd. 2025 The Author(s). Clinical & Experimental Allergy published by John Wiley & Sons Ltd. 2025. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Keywords | mobile health treatment adherence allergic rhinitis |
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| License | Attribution 2025 The Author(s). Clinical & Experimental Allergy published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
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| Notes | None for this specific study. MASK‐air has been supported by EU grants (from the Impact of air Pollution on Asthma and Rhinitis project of the European Institute of Innovation and Technology Health; Structural and Development Funds, Région Languedoc Roussillon, and Provence‐Alpes‐Côte d'Azur; Twinning, European Innovation Partnership on Active and Healthy Ageing, DG Santé and DG Connect; H2020 and Horizon Europe), Universidad Espíritu Santo, Samborondón, Ecuador, University of Liège and educational grants from Mylan‐Viatris, Allergologisk Laboratorium København, GlaxoSmithKline, Novartis, Stallergènes‐Greer, and Noucor. Funding A list of the think tank members appears in the ‘The MASK‐air think tank’ section. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Funding: None for this specific study. MASK‐air has been supported by EU grants (from the Impact of air Pollution on Asthma and Rhinitis project of the European Institute of Innovation and Technology Health; Structural and Development Funds, Région Languedoc Roussillon, and Provence‐Alpes‐Côte d'Azur; Twinning, European Innovation Partnership on Active and Healthy Ageing, DG Santé and DG Connect; H2020 and Horizon Europe), Universidad Espíritu Santo, Samborondón, Ecuador, University of Liège and educational grants from Mylan‐Viatris, Allergologisk Laboratorium København, GlaxoSmithKline, Novartis, Stallergènes‐Greer, and Noucor. |
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| PublicationDate | March 2025 |
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Background
Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK‐air mHealth app to assess adherence to... Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK-air mHealth app to assess adherence to oral antihistamines... BackgroundAdherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK‐air mHealth app to assess adherence to oral... In a study assessing mobile health data, (i) adherence to rhinitis medication was highest for oral antihistamines and lowest for azelastine‐fluticasone, (ii)... Background Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK-air mHealth app to assess adherence to oral... |
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| SubjectTerms | Adolescent Adrenal Cortex Hormones - administration & dosage Adrenal Cortex Hormones - therapeutic use Adult Allergic rhinitis Anti-Allergic Agents - therapeutic use Antihistamines Asthma Corticosteroids Europe - epidemiology Female Fluticasone Hay fever Histamine Antagonists - administration & dosage Histamine Antagonists - therapeutic use Humans Male Medication Adherence Middle Aged Missing data mobile health Original Phthalazines - therapeutic use Pollen Pollen - adverse effects Pollen - immunology Rhinitis Rhinitis, Allergic - drug therapy Rhinitis, Allergic - epidemiology Rhinitis, Allergic, Seasonal - drug therapy Rhinitis, Allergic, Seasonal - epidemiology Seasons Sensitivity analysis Surveys and Questionnaires treatment adherence Young Adult |
| Title | Adherence to Treatment in Allergic Rhinitis During the Pollen Season in Europe: A MASK‐air Study |
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