Behavioural patterns in allergic rhinitis medication in Europe: A study using MASK-air® real-world data
Jazyk angličtina Země Dánsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
35258105
DOI
10.1111/all.15275
Knihovny.cz E-zdroje
- Klíčová slova
- Co-medication, MASK-air, allergic rhinitis, visual analogue scale,
- MeSH
- alergická rýma * farmakoterapie epidemiologie MeSH
- antihistaminika terapeutické užití MeSH
- lidé MeSH
- rýma * farmakoterapie MeSH
- zvyky MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa epidemiologie MeSH
- Názvy látek
- antihistaminika MeSH
BACKGROUND: Co-medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis-related search patterns in Google Trends. This study aims to assess AR co-medication and its regional patterns in Europe, using real-world data. METHODS: We analysed 2015-2020 MASK-air® European data. We compared days under no medication, monotherapy and co-medication using the visual analogue scale (VAS) levels for overall allergic symptoms ('VAS Global Symptoms') and impact of AR on work. We assessed the monthly use of different medication schemes, performing separate analyses by region (defined geographically or by Google Trends patterns). We estimated the average number of different drugs reported per patient within 1 year. RESULTS: We analysed 222,024 days (13,122 users), including 63,887 days (28.8%) under monotherapy and 38,315 (17.3%) under co-medication. The median 'VAS Global Symptoms' was 7 for no medication days, 14 for monotherapy and 21 for co-medication (p < .001). Medication use peaked during the spring, with similar patterns across different European regions (defined geographically or by Google Trends). Oral H1 -antihistamines were the most common medication in single and co-medication. Each patient reported using an annual average of 2.7 drugs, with 80% reporting two or more. CONCLUSIONS: Allergic rhinitis medication patterns are similar across European regions. One third of treatment days involved co-medication. These findings suggest that patients treat themselves according to their symptoms (irrespective of how they understand AR) and that co-medication use is driven by symptom severity.
Allergy Center CUF Descobertas Hospital Lisbon Portugal
Allergy Department 2nd Pediatric Clinic University of Athens Athens Greece
Center for Rhinology and Allergology Wiesbaden Germany
CIBER Epidemiología y Salud Pública Barcelona Spain
CINTESIS Center for Health Technology and Services Research University of Porto Porto Portugal
Department of Allergy and Immunology Hospital Quironsalud Bizkaia Bilbao Spain
Department of Biomedical Sciences Humanitas University Pieve Emanuele Italy
Department of Clinical Immunology ALL MED Medical Research Institute Wrocław Poland
Department of Clinical Immunology Wrocław Medical University Wroclaw Poland
Department of Immunoallergology Cova da Beira University Hospital Centre Covilhã Portugal
Department of Medicine Clinical Immunology and Allergy McMaster University Hamilton Ontario Canada
Department of Otolaryngology Head and Neck Surgery Universitätsmedizin Mainz Mainz Germany
Department of Otorhinolaryngology Chiba University Hospital Chiba Japan
Department of Otorhinolaryngology Head and Neck Surgery Semmelweis University Budapest Hungary
Department of Pulmonary medicine and tuberculosis University Hospital Brno Brno Czech Republic
Department of Pulmonary Medicine CHU Sart Tilman and GIGA I3 Research Group Liege Belgium
Department of Pulmonology Celal Bayar University Manisa Turkey
Division of Allergy Immunology University of South Florida Tampa Florida USA
Ecole Polytechnique Palaiseau IRBA Bretigny France
EFA European Federation of Allergy and Airways Diseases Patients' Associations Brussels Belgium
Eskisehir Osmangazi University Medical Faculty ENT Department Eskisehir Turkey
Faculty of Health Sciences University of Beira Interior Covilha Portugal
Fundaçao ProAR Federal University of Bahia and GARD WHO Planning Group Salvador Brazil
Fundacion Jimenez Diaz CIBERES Faculty of Medicine Autonoma University of Madrid Madrid Spain
IMSB Medical Faculty University of Cologne and ClinCompetence Cologne GmbH Cologne Germany
ISGlobal Barcelona Institute for Global Health Barcelona Spain
KYomed INNOV Montpellier France
Medical Consulting Czarlewski Levallois France
NOVA Medical School Comprehensive Health Research Center Lisbon Portugal
Nova Southeastern University Fort Lauderdale Florida USA
Personalized Medicine Asthma and Allergy Humanitas Clinical and Research Center IRCCS Rozzano Italy
Poltava State Medical University Poltava Ukraine
RISE Health Research Network; University of Porto Porto Portugal
School of Medicine University CEU San Pablo Madrid Spain
Servicio de Alergia e Immunologia Clinica Santa Isabel Buenos Aires Argentina
Skin and Allergy Hospital Helsinki University Hospital and University of Helsinki Helsinki Finland
Skin and Allergy Hospital Helsinki University Hospital University of Helsinki Helsinki Finland
SOS Allergology and Clinical Immunology USL Toscana Centro Prato Italy
UBIAir Clinical and Experimental Lung Centre University of Beira Interior Covilha Portugal
Universitat Pompeu Fabra Barcelona Spain
University Hospital Montpellier Montpellier France
University of Bari Medical School Unit of Geriatric Immunoallergology Bari Italy
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Bousquet J, Anto JM, Bachert C, et al. Allergic rhinitis. Nat Rev Dis Primers. 2020;6(1):95.
Bousquet J, Agache I, Anto JM, et al. Google trends terms reporting rhinitis and related topics differ in European countries. Allergy. 2017;72(8):1261-1266.
Bousquet J, Agache I, Berger U, et al. Differences in reporting the ragweed pollen season using google trends across 15 countries. Int Arch Allergy Immunol. 2018;176(3-4):181-188.
Bousquet J, Onorato GL, Oliver G, et al. Google trends and pollen concentrations in allergy and airway diseases in France. Allergy. 2019;74(10):1910-1919.
Bousquet J, Schroder-Bernhardi D, Bachert C, et al. Heterogeneity of the pharmacologic treatment of allergic rhinitis in Europe based on MIDAS and OTCims platforms. Clin Exp Allergy. 2021;51(8):1033-1045.
Dykewicz MS, Wallace DV, Amrol DJ, et al. Rhinitis 2020: a practice parameter update. J Allergy Clin Immunol. 2020;146(4):721-767.
Bedard A, Basagana X, Anto JM, et al. Mobile technology offers novel insights into the control and treatment of allergic rhinitis: the MASK study. J Allergy Clin Immunol. 2019;144(1):135-143 e136.
Bedard A, Basagana X, Anto JM, et al. Treatment of allergic rhinitis during and outside the pollen season using mobile technology. A MASK study. Clin Transl Allergy. 2020;10(1):62.
Bousquet J, Schunemann HJ, Togias A, et al. Next-generation allergic rhinitis and its impact on asthma (ARIA) guidelines for allergic rhinitis based on grading of recommendations assessment, development and evaluation (GRADE) and real-world evidence. J Allergy Clin Immunol. 2020;145(1):70-80 e73.
Bousquet J, Anto JM, Bachert C, et al. ARIA digital anamorphosis: digital transformation of health and care in airway diseases from research to practice. Allergy. 2021;76(1):168-190.
Bousquet J, Bedbrook A, Czarlewski W, et al. Guidance to 2018 good practice: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma. Clin Transl Allergy. 2019;9:16.
Bousquet J, Bewick M, Arnavielhe S, et al. Work productivity in rhinitis using cell phones: the MASK pilot study. Allergy. 2017;72(10):1475-1484.
Bousquet J, Arnavielhe S, Bedbrook A, et al. Treatment of allergic rhinitis using mobile technology with real world data: the MASK observational pilot study. Allergy. 2018;73(9):1763-1774.
Laune D, Arnavielhe S, Viart F, et al. Adaptation of the general data protection regulation (GDPR) to a smartphone app for rhinitis and asthma (MASK-air(R)). Rev Mal Respir. 2019;36(9):1019-1031.
Samreth D, Arnavielhe S, Ingenrieth F, et al. Geolocation with respect to personal privacy for the allergy diary app - a MASK study. World Allergy Organ J. 2018;11(1):15.
Kopp-Kubel S. International nonproprietary names (INN) for pharmaceutical substances. Bull World Health Organ. 1995;73(3):275-279.
Cohen J. Statistical Power Analysis for the Behavioral Sciences. Taylor and Francis Group; 1988.
Mavragani A, Ochoa G. Google trends in infodemiology and infoveillance: methodology framework. JMIR Public Health Surveill. 2019;5(2):e13439.
Dreher PC, Tong C, Ghiraldi E, Friedlander JI. Use of google trends to track online behavior and interest in kidney stone surgery. Urology. 2018;121:74-78.
Bousquet J, Devillier P, Arnavielhe S, et al. Treatment of allergic rhinitis using mobile technology with real-world data: the MASK observational pilot study. Allergy. 2018;73(9):1763-1774.
Brozek JL, Bousquet J, Agache I, et al. Allergic rhinitis and its impact on asthma (ARIA) guidelines-2016 revision. J Allergy Clin Immunol. 2017;140(4):950-958.
Dykewicz MS, Wallace DV, Baroody F, et al. Treatment of seasonal allergic rhinitis: an evidence-based focused 2017 guideline update. Ann Allergy Asthma Immunol. 2017;119(6):489-511 e441.
Bousquet J, Klimek L, Kuna P, Mullol J, Toppila-Salmi S. The debate: regular versus as-needed use of intranasal corticosteroids for a patient-centered approach. J Allergy Clin Immunol Pract. 2021;9(3):1374-1375.
Bousquet J, Bachert C, Canonica GW, et al. Unmet needs in severe chronic upper airway disease (SCUAD). J Allergy Clin Immunol. 2009;124(3):428-433.
Sousa-Pinto B, Eklund P, Pfaar O, et al. Validity, reliability, and responsiveness of daily monitoring visual analog scales in MASK-air®. Clin Transl Allergy. 2021;11(7):e12062.
Adherence to Treatment in Allergic Rhinitis During the Pollen Season in Europe: A MASK-air Study