Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.17/4466 |
Resumo: | 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. |
id |
RCAP_9a9a98e89629479d14edbb959c049416 |
---|---|
oai_identifier_str |
oai:repositorio.chlc.min-saude.pt:10400.17/4466 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World DataEurope / epidemiologyHabitsHistamine Antagonists / therapeutic useRhinitis* / drug therapyRhinitis, Allergic* / epidemiologyHDE ALERBackground: 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.WileyRepositório do Centro Hospitalar Universitário de Lisboa Central, EPESousa‐Pinto, BSá‐Sousa, AVieira, RJAmaral, RKlimek, LCzarlewski, WAntó, JMPfaar, OBedbrook, AKvedariene, VVentura, MTAnsotegui, IJBergmann, KCBrussino, LCanonica, GWCardona, VCarreiro‐Martins, PCasale, TCecchi, LChivato, TChu, DKCingi, CCosta, EMCruz, AADe Feo, GDevillier, PFokkens, WJGaga, MGemicioğlu, BHaahtela, TIvancevich, JCIspayeva, ZJutel, MKuna, PKaidashev, IKraxner, HLarenas‐Linnemann, DELaune, DLipworth, BLouis, RMakris, MMonti, RMorais‐Almeida, MMösges, RMullol, JOdemyr, MOkamoto, YPapadopoulos, NGPatella, VPham‐Thi, NRegateiro, FSReitsma, SRouadi, PWSamolinski, BSova, MTodo‐Bom, ATaborda‐Barata, LTomazic, PVToppila‐Salmi, SSastre, JTsiligianni, IValiulis, AVandenplas, OWallace, DWaserman, SYorgancioglu, AZidarn, MZuberbier, TFonseca, JABousquet, J2023-03-21T12:38:46Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/4466engAllergy . 2022 Sep;77(9):2699-271110.1111/all.15275info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-26T03:45:35Zoai:repositorio.chlc.min-saude.pt:10400.17/4466Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:46:11.432317Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data |
title |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data |
spellingShingle |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data Sousa‐Pinto, B Europe / epidemiology Habits Histamine Antagonists / therapeutic use Rhinitis* / drug therapy Rhinitis, Allergic* / epidemiology HDE ALER |
title_short |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data |
title_full |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data |
title_fullStr |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data |
title_full_unstemmed |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data |
title_sort |
Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data |
author |
Sousa‐Pinto, B |
author_facet |
Sousa‐Pinto, B Sá‐Sousa, A Vieira, RJ Amaral, R Klimek, L Czarlewski, W Antó, JM Pfaar, O Bedbrook, A Kvedariene, V Ventura, MT Ansotegui, IJ Bergmann, KC Brussino, L Canonica, GW Cardona, V Carreiro‐Martins, P Casale, T Cecchi, L Chivato, T Chu, DK Cingi, C Costa, EM Cruz, AA De Feo, G Devillier, P Fokkens, WJ Gaga, M Gemicioğlu, B Haahtela, T Ivancevich, JC Ispayeva, Z Jutel, M Kuna, P Kaidashev, I Kraxner, H Larenas‐Linnemann, DE Laune, D Lipworth, B Louis, R Makris, M Monti, R Morais‐Almeida, M Mösges, R Mullol, J Odemyr, M Okamoto, Y Papadopoulos, NG Patella, V Pham‐Thi, N Regateiro, FS Reitsma, S Rouadi, PW Samolinski, B Sova, M Todo‐Bom, A Taborda‐Barata, L Tomazic, PV Toppila‐Salmi, S Sastre, J Tsiligianni, I Valiulis, A Vandenplas, O Wallace, D Waserman, S Yorgancioglu, A Zidarn, M Zuberbier, T Fonseca, JA Bousquet, J |
author_role |
author |
author2 |
Sá‐Sousa, A Vieira, RJ Amaral, R Klimek, L Czarlewski, W Antó, JM Pfaar, O Bedbrook, A Kvedariene, V Ventura, MT Ansotegui, IJ Bergmann, KC Brussino, L Canonica, GW Cardona, V Carreiro‐Martins, P Casale, T Cecchi, L Chivato, T Chu, DK Cingi, C Costa, EM Cruz, AA De Feo, G Devillier, P Fokkens, WJ Gaga, M Gemicioğlu, B Haahtela, T Ivancevich, JC Ispayeva, Z Jutel, M Kuna, P Kaidashev, I Kraxner, H Larenas‐Linnemann, DE Laune, D Lipworth, B Louis, R Makris, M Monti, R Morais‐Almeida, M Mösges, R Mullol, J Odemyr, M Okamoto, Y Papadopoulos, NG Patella, V Pham‐Thi, N Regateiro, FS Reitsma, S Rouadi, PW Samolinski, B Sova, M Todo‐Bom, A Taborda‐Barata, L Tomazic, PV Toppila‐Salmi, S Sastre, J Tsiligianni, I Valiulis, A Vandenplas, O Wallace, D Waserman, S Yorgancioglu, A Zidarn, M Zuberbier, T Fonseca, JA Bousquet, J |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE |
dc.contributor.author.fl_str_mv |
Sousa‐Pinto, B Sá‐Sousa, A Vieira, RJ Amaral, R Klimek, L Czarlewski, W Antó, JM Pfaar, O Bedbrook, A Kvedariene, V Ventura, MT Ansotegui, IJ Bergmann, KC Brussino, L Canonica, GW Cardona, V Carreiro‐Martins, P Casale, T Cecchi, L Chivato, T Chu, DK Cingi, C Costa, EM Cruz, AA De Feo, G Devillier, P Fokkens, WJ Gaga, M Gemicioğlu, B Haahtela, T Ivancevich, JC Ispayeva, Z Jutel, M Kuna, P Kaidashev, I Kraxner, H Larenas‐Linnemann, DE Laune, D Lipworth, B Louis, R Makris, M Monti, R Morais‐Almeida, M Mösges, R Mullol, J Odemyr, M Okamoto, Y Papadopoulos, NG Patella, V Pham‐Thi, N Regateiro, FS Reitsma, S Rouadi, PW Samolinski, B Sova, M Todo‐Bom, A Taborda‐Barata, L Tomazic, PV Toppila‐Salmi, S Sastre, J Tsiligianni, I Valiulis, A Vandenplas, O Wallace, D Waserman, S Yorgancioglu, A Zidarn, M Zuberbier, T Fonseca, JA Bousquet, J |
dc.subject.por.fl_str_mv |
Europe / epidemiology Habits Histamine Antagonists / therapeutic use Rhinitis* / drug therapy Rhinitis, Allergic* / epidemiology HDE ALER |
topic |
Europe / epidemiology Habits Histamine Antagonists / therapeutic use Rhinitis* / drug therapy Rhinitis, Allergic* / epidemiology HDE ALER |
description |
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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z 2023-03-21T12:38:46Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.17/4466 |
url |
http://hdl.handle.net/10400.17/4466 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Allergy . 2022 Sep;77(9):2699-2711 10.1111/all.15275 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799131545861095424 |