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Start Over Author "Fokkens, W J" Publisher uppsala universitet, centrum for klinisk forskning i sormland (ckfd)
17 results on '"Fokkens, W J"'

1. Treatment of allergic rhinitis during and outside the pollen season using mobile technology : A MASK study

Author

Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., Bousquet, J., Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., and Bousquet, J.

Abstract

Background The analysis of mobile health (mHealth) data has generated innovative insights into improving allergic rhinitis control, but additive information is needed. A cross-sectional real-world observational study was undertaken in 17 European countries during and outside the estimated pollen season. The aim was to collect novel information including the phenotypic characteristics of the users. Methods The Allergy Diary–MASK-air–mobile phone app, freely available via Google Play and App, was used to collect the data of daily visual analogue scales (VASs) for overall allergic symptoms and medication use. Fluticasone Furoate (FF), Mometasone Furoate (MF), Azelastine Fluticasone Proprionate combination (MPAzeFlu) and eight oral H1-antihistamines were studied. Phenotypic characteristics were recorded at entry. The ARIA severity score was derived from entry data. This was an a priori planned analysis. Results 9037 users filled in 70,286 days of VAS in 2016, 2017 and 2018. The ARIA severity score was lower outside than during the pollen season. Severity was similar for all treatment groups during the pollen season, and lower in the MPAzeFlu group outside the pollen season. Days with MPAzeFlu had lower VAS levels and a higher frequency of monotherapy than the other treatments during the season. Outside the season, days with MPAzeFlu also had a higher frequency of monotherapy. The number of reported days was significantly higher with MPAzeFlu during and outside the season than with MF, FF or oral H1-antihistamines. Conclusions This study shows that the overall efficacy of treatments is similar during and outside the pollen season and indicates that medications are similarly effective during the year., Correction in: CLINICAL AND TRANSLATIONAL ALLERGY, Volume 12, Issue 3, Article Number e12126, DOI 10.1002/clt2.12126

Published
2020
Full Text
View/download PDF

2. Treatment of allergic rhinitis during and outside the pollen season using mobile technology : A MASK study

Author

Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., Bousquet, J., Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., and Bousquet, J.

Abstract

Background The analysis of mobile health (mHealth) data has generated innovative insights into improving allergic rhinitis control, but additive information is needed. A cross-sectional real-world observational study was undertaken in 17 European countries during and outside the estimated pollen season. The aim was to collect novel information including the phenotypic characteristics of the users. Methods The Allergy Diary–MASK-air–mobile phone app, freely available via Google Play and App, was used to collect the data of daily visual analogue scales (VASs) for overall allergic symptoms and medication use. Fluticasone Furoate (FF), Mometasone Furoate (MF), Azelastine Fluticasone Proprionate combination (MPAzeFlu) and eight oral H1-antihistamines were studied. Phenotypic characteristics were recorded at entry. The ARIA severity score was derived from entry data. This was an a priori planned analysis. Results 9037 users filled in 70,286 days of VAS in 2016, 2017 and 2018. The ARIA severity score was lower outside than during the pollen season. Severity was similar for all treatment groups during the pollen season, and lower in the MPAzeFlu group outside the pollen season. Days with MPAzeFlu had lower VAS levels and a higher frequency of monotherapy than the other treatments during the season. Outside the season, days with MPAzeFlu also had a higher frequency of monotherapy. The number of reported days was significantly higher with MPAzeFlu during and outside the season than with MF, FF or oral H1-antihistamines. Conclusions This study shows that the overall efficacy of treatments is similar during and outside the pollen season and indicates that medications are similarly effective during the year., Correction in: CLINICAL AND TRANSLATIONAL ALLERGY, Volume 12, Issue 3, Article Number e12126, DOI 10.1002/clt2.12126

Published
2020
Full Text
View/download PDF

3. Treatment of allergic rhinitis during and outside the pollen season using mobile technology : A MASK study

Author

Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., Bousquet, J., Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., and Bousquet, J.

Abstract

Background The analysis of mobile health (mHealth) data has generated innovative insights into improving allergic rhinitis control, but additive information is needed. A cross-sectional real-world observational study was undertaken in 17 European countries during and outside the estimated pollen season. The aim was to collect novel information including the phenotypic characteristics of the users. Methods The Allergy Diary–MASK-air–mobile phone app, freely available via Google Play and App, was used to collect the data of daily visual analogue scales (VASs) for overall allergic symptoms and medication use. Fluticasone Furoate (FF), Mometasone Furoate (MF), Azelastine Fluticasone Proprionate combination (MPAzeFlu) and eight oral H1-antihistamines were studied. Phenotypic characteristics were recorded at entry. The ARIA severity score was derived from entry data. This was an a priori planned analysis. Results 9037 users filled in 70,286 days of VAS in 2016, 2017 and 2018. The ARIA severity score was lower outside than during the pollen season. Severity was similar for all treatment groups during the pollen season, and lower in the MPAzeFlu group outside the pollen season. Days with MPAzeFlu had lower VAS levels and a higher frequency of monotherapy than the other treatments during the season. Outside the season, days with MPAzeFlu also had a higher frequency of monotherapy. The number of reported days was significantly higher with MPAzeFlu during and outside the season than with MF, FF or oral H1-antihistamines. Conclusions This study shows that the overall efficacy of treatments is similar during and outside the pollen season and indicates that medications are similarly effective during the year., Correction in: CLINICAL AND TRANSLATIONAL ALLERGY, Volume 12, Issue 3, Article Number e12126, DOI 10.1002/clt2.12126

Published
2020
Full Text
View/download PDF

4. Treatment of allergic rhinitis during and outside the pollen season using mobile technology : A MASK study

Author

Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., Bousquet, J., Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., and Bousquet, J.

Abstract

Background The analysis of mobile health (mHealth) data has generated innovative insights into improving allergic rhinitis control, but additive information is needed. A cross-sectional real-world observational study was undertaken in 17 European countries during and outside the estimated pollen season. The aim was to collect novel information including the phenotypic characteristics of the users. Methods The Allergy Diary–MASK-air–mobile phone app, freely available via Google Play and App, was used to collect the data of daily visual analogue scales (VASs) for overall allergic symptoms and medication use. Fluticasone Furoate (FF), Mometasone Furoate (MF), Azelastine Fluticasone Proprionate combination (MPAzeFlu) and eight oral H1-antihistamines were studied. Phenotypic characteristics were recorded at entry. The ARIA severity score was derived from entry data. This was an a priori planned analysis. Results 9037 users filled in 70,286 days of VAS in 2016, 2017 and 2018. The ARIA severity score was lower outside than during the pollen season. Severity was similar for all treatment groups during the pollen season, and lower in the MPAzeFlu group outside the pollen season. Days with MPAzeFlu had lower VAS levels and a higher frequency of monotherapy than the other treatments during the season. Outside the season, days with MPAzeFlu also had a higher frequency of monotherapy. The number of reported days was significantly higher with MPAzeFlu during and outside the season than with MF, FF or oral H1-antihistamines. Conclusions This study shows that the overall efficacy of treatments is similar during and outside the pollen season and indicates that medications are similarly effective during the year., Correction in: CLINICAL AND TRANSLATIONAL ALLERGY, Volume 12, Issue 3, Article Number e12126, DOI 10.1002/clt2.12126

Published
2020
Full Text
View/download PDF

5. Treatment of allergic rhinitis during and outside the pollen season using mobile technology : A MASK study

Author

Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., Bousquet, J., Bédard, A., Basagaña, X., Anto, J. M., Garcia-Aymerich, J., Devillier, P., Arnavielhe, S., Bedbrook, A., Onorato, G. L., Czarlewski, W., Murray, R., Almeida, R., Fonseca, J. A., Correia da Sousa, J., Costa, E., Morais-Almeida, M., Todo-Bom, A., Cecchi, L., De Feo, G., Illario, M., Menditto, E., Monti, R., Stellato, C., Ventura, M. T., Annesi-Maesano, I., Bosse, I., Fontaine, J. F., Pham-Thi, N., Thibaudon, M., Schmid-Grendelmeier, P., Spertini, F., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Dubakiene, R., Emuzyte, R., Kvedariene, V., Valiulis, A., Kuna, P., Samolinski, B., Klimek, L., Mösges, R., Pfaar, O., Shamai, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Ryan, D., Sheikh, A., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Cardona, V., Mullol, J., Valero, A., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Bachert, C., Hellings, P. W., Pugin, B., Bindslev-Jensen, C., Eller, E., Kull, I., Melén, E., Wickman, M., De Vries, G., van Eerd, M., Agache, I., Ansotegui, I. J., Bosnic-Anticevich, S., Cruz, A. A., Casale, T., Ivancevich, J. C., Larenas-Linnemann, D. E., Sofev, M., Wallace, D., Waserman, S., Yorgancioglu, A., Laune, D., and Bousquet, J.

Abstract

Background The analysis of mobile health (mHealth) data has generated innovative insights into improving allergic rhinitis control, but additive information is needed. A cross-sectional real-world observational study was undertaken in 17 European countries during and outside the estimated pollen season. The aim was to collect novel information including the phenotypic characteristics of the users. Methods The Allergy Diary–MASK-air–mobile phone app, freely available via Google Play and App, was used to collect the data of daily visual analogue scales (VASs) for overall allergic symptoms and medication use. Fluticasone Furoate (FF), Mometasone Furoate (MF), Azelastine Fluticasone Proprionate combination (MPAzeFlu) and eight oral H1-antihistamines were studied. Phenotypic characteristics were recorded at entry. The ARIA severity score was derived from entry data. This was an a priori planned analysis. Results 9037 users filled in 70,286 days of VAS in 2016, 2017 and 2018. The ARIA severity score was lower outside than during the pollen season. Severity was similar for all treatment groups during the pollen season, and lower in the MPAzeFlu group outside the pollen season. Days with MPAzeFlu had lower VAS levels and a higher frequency of monotherapy than the other treatments during the season. Outside the season, days with MPAzeFlu also had a higher frequency of monotherapy. The number of reported days was significantly higher with MPAzeFlu during and outside the season than with MF, FF or oral H1-antihistamines. Conclusions This study shows that the overall efficacy of treatments is similar during and outside the pollen season and indicates that medications are similarly effective during the year., Correction in: CLINICAL AND TRANSLATIONAL ALLERGY, Volume 12, Issue 3, Article Number e12126, DOI 10.1002/clt2.12126

Published
2020
Full Text
View/download PDF

6. ARIA pharmacy 2018 'Allergic rhinitis care pathways for community pharmacy'

Author

Bosnic-Anticevich, S, Costa, E, Menditto, E, Lourenço, O, Novellino, E, Bialek, S, Briedis, V, Buonaiuto, R, Chrystyn, H, Cvetkovski, B, Capua, S Di, Kritikos, V, Mair, A, Orlando, V, Paulino, E, Salimäki, J, Söderlund, R, Tan, R, Williams, D M, Wroczynski, P, Agache, I, Ansotegui, I J, Anto, J M, Bedbrook, A, Bachert, C, Bewick, M, Bindslev-Jensen, C, Brozek, J, Canonica, G W, Cardona, V, Carr, W, Casale, T, Chavannes, N H, Correia de Sousa, J, Cruz, A A, Czarlewski, W, De Carlo, G, Demoly, P, Devillier, P, Dykewicz, M S, Gaga, M, El-Gamal, Y, Fonseca, J, Fokkens, W J, Guzmán, M A, Haahtela, T, Hellings, P W, Illario, M, Ivancevich, J C, Just, J, Kaidashev, I, Khaitov, M, Khaltaev, N, Keil, T, Klimek, L, Kowalski, M L, Kuna, P, Kvedariene, V, Larenas-Linnemann, D, Laune, D, Le, L T T, Carlsen, K C Lodrup, Mahboub, B, Maier, D, Malva, J, Manning, P, Morais-Almeida, M, Mösges, R, Mullol, J, Münter, L, Murray, R, Naclerio, R, Namazova-Baranova, L, Nekam, K, Nyembue, T D, Okubo, K, O'Hehir, R E, Ohta, K, Okamoto, Y, Onorato, G L, Palkonen, S, Panzner, P, Papadopoulos, N G, Park, H S, Pawankar, R, Pfaar, O, Phillips, J, Plavec, D, Popov, T A, Potter, P, Prokopakis, E P, Roller-Wirnsberger, R E, Rottem, M, Ryan, D, Samolinski, B, Sanchez-Borges, M, Schunemann, H J, Sheikh, A, Sisul, J C, Somekh, D, Stellato, C, To, T, Todo-Bom, A, Tomazic, P V, Toppila-Salmi, S, Valero, A, Valiulis, A, Valovirta, E, Ventura, M T, Wagenmann, M, Wallace, D, Waserman, S, Wickman, Magnus, Yiallouros, P K, Yorgancioglu, A, Yusuf, O M, Zar, H J, Zernotti, M E, Zhang, L, Zidarn, M, Zuberbier, T, Bousquet, J, Bosnic-Anticevich, S, Costa, E, Menditto, E, Lourenço, O, Novellino, E, Bialek, S, Briedis, V, Buonaiuto, R, Chrystyn, H, Cvetkovski, B, Capua, S Di, Kritikos, V, Mair, A, Orlando, V, Paulino, E, Salimäki, J, Söderlund, R, Tan, R, Williams, D M, Wroczynski, P, Agache, I, Ansotegui, I J, Anto, J M, Bedbrook, A, Bachert, C, Bewick, M, Bindslev-Jensen, C, Brozek, J, Canonica, G W, Cardona, V, Carr, W, Casale, T, Chavannes, N H, Correia de Sousa, J, Cruz, A A, Czarlewski, W, De Carlo, G, Demoly, P, Devillier, P, Dykewicz, M S, Gaga, M, El-Gamal, Y, Fonseca, J, Fokkens, W J, Guzmán, M A, Haahtela, T, Hellings, P W, Illario, M, Ivancevich, J C, Just, J, Kaidashev, I, Khaitov, M, Khaltaev, N, Keil, T, Klimek, L, Kowalski, M L, Kuna, P, Kvedariene, V, Larenas-Linnemann, D, Laune, D, Le, L T T, Carlsen, K C Lodrup, Mahboub, B, Maier, D, Malva, J, Manning, P, Morais-Almeida, M, Mösges, R, Mullol, J, Münter, L, Murray, R, Naclerio, R, Namazova-Baranova, L, Nekam, K, Nyembue, T D, Okubo, K, O'Hehir, R E, Ohta, K, Okamoto, Y, Onorato, G L, Palkonen, S, Panzner, P, Papadopoulos, N G, Park, H S, Pawankar, R, Pfaar, O, Phillips, J, Plavec, D, Popov, T A, Potter, P, Prokopakis, E P, Roller-Wirnsberger, R E, Rottem, M, Ryan, D, Samolinski, B, Sanchez-Borges, M, Schunemann, H J, Sheikh, A, Sisul, J C, Somekh, D, Stellato, C, To, T, Todo-Bom, A, Tomazic, P V, Toppila-Salmi, S, Valero, A, Valiulis, A, Valovirta, E, Ventura, M T, Wagenmann, M, Wallace, D, Waserman, S, Wickman, Magnus, Yiallouros, P K, Yorgancioglu, A, Yusuf, O M, Zar, H J, Zernotti, M E, Zhang, L, Zidarn, M, Zuberbier, T, and Bousquet, J

Abstract

Pharmacists are trusted health professionals. Many patients use over-the-counter (OTC) medications and are seen by pharmacists who are the initial point of contact of allergic rhinitis management in most countries. The role of pharmacists in integrated care pathways (ICPs) for allergic diseases is important. This paper builds on existing studies and provides tools intended to help pharmacists provide optimal advice/interventions/strategies to patients with rhinitis. The ARIA-pharmacy ICP includes a diagnostic questionnaire specifically focusing attention on key symptoms and markers of the disease, a systematic Diagnosis Guide (including differential diagnoses) and a simple flowchart with proposed treatment for rhinitis and asthma multimorbidity. Key prompts for referral within the ICP are included. The use of technology is critical to enhance the management of AR. However, the ARIA-pharmacy ICP should be adapted to local health care environments/situations as regional (national) differences exist in pharmacy care.

Published
2019
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7. MASK 2017 : ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence.

Author

Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, Wallace, D V, Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, and Wallace, D V

Abstract

mHealth, such as apps running on consumer smart devices is becoming increasingly popular and has the potential to profoundly affect healthcare and health outcomes. However, it may be disruptive and results achieved are not always reaching the goals. Allergic Rhinitis and its Impact on Asthma (ARIA) has evolved from a guideline using the best evidence-based approach to care pathways suited to real-life using mobile technology in allergic rhinitis (AR) and asthma multimorbidity. Patients largely use over-the-counter medications dispensed in pharmacies. Shared decision making centered around the patient and based on self-management should be the norm. Mobile Airways Sentinel networK (MASK), the Phase 3 ARIA initiative, is based on the freely available MASK app (the Allergy Diary, Android and iOS platforms). MASK is available in 16 languages and deployed in 23 countries. The present paper provides an overview of the methods used in MASK and the key results obtained to date. These include a novel phenotypic characterization of the patients, confirmation of the impact of allergic rhinitis on work productivity and treatment patterns in real life. Most patients appear to self-medicate, are often non-adherent and do not follow guidelines. Moreover, the Allergy Diary is able to distinguish between AR medications. The potential usefulness of MASK will be further explored by POLLAR (Impact of Air Pollution on Asthma and Rhinitis), a new Horizon 2020 project using the Allergy Diary.

Published
2018
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8. Daily allergic multimorbidity in rhinitis using mobile technology : A novel concept of the MASK study

Author

Bousquet, J., Devillier, P., Anto, J. M., Bewick, M., Haahtela, T., Arnavielhe, S., Bedbrook, A., Murray, R., van Eerd, M., Fonseca, J. A., Morais Almeida, M., Todo Bom, A., Menditto, E., Passalacqua, G., Stellato, C., Triggiani, M., Ventura, M. T., Vezzani, G., Annesi-Maesano, I., Bourret, R., Bosse, I., Caimmi, D., Cartier, C., Demoly, P., Just, J., Portejoie, F., Siroux, V., Viart, F., Bergmann, K. C., Keil, T., Klimek, L., Moesges, R., Pfaar, O., Shamai, S., Zuberbier, T., Mullol, J., Valero, A., Spranger, O., Tomazic, P. V., Kowalski, M. L., Kuna, P., Kupczyk, M., Raciborski, F., Samolinski, B., Toppila-Salmi, S. K., Valovirta, E., Cruz, A. A., Sarquis-Serpa, F., da Silva, J., Stelmach, R., Larenas-Linnemann, D., Rodriguez Gonzalez, M., Burguete Cabanas, M. T., Kvedariene, V., Valiulis, A., Chavannes, N. H., Fokkens, W. J., Ryan, D., Sheikh, A., Bachert, C., Hellings, P. W., VandenPlas, O., Ballardini, N., Kull, I., Melen, E., Westman, M., Wickman, Magnus, Bindslev-Jensen, C., Eller, E., Bosnic-Anticevich, S., O'Hehir, R. E., Agache, I., Bieber, T., Casale, T., Gemicioglu, B., Ivancevich, J. C., De Vries, G., Sorensen, M., Yorgancioglu, A., Laune, D., Bousquet, J., Devillier, P., Anto, J. M., Bewick, M., Haahtela, T., Arnavielhe, S., Bedbrook, A., Murray, R., van Eerd, M., Fonseca, J. A., Morais Almeida, M., Todo Bom, A., Menditto, E., Passalacqua, G., Stellato, C., Triggiani, M., Ventura, M. T., Vezzani, G., Annesi-Maesano, I., Bourret, R., Bosse, I., Caimmi, D., Cartier, C., Demoly, P., Just, J., Portejoie, F., Siroux, V., Viart, F., Bergmann, K. C., Keil, T., Klimek, L., Moesges, R., Pfaar, O., Shamai, S., Zuberbier, T., Mullol, J., Valero, A., Spranger, O., Tomazic, P. V., Kowalski, M. L., Kuna, P., Kupczyk, M., Raciborski, F., Samolinski, B., Toppila-Salmi, S. K., Valovirta, E., Cruz, A. A., Sarquis-Serpa, F., da Silva, J., Stelmach, R., Larenas-Linnemann, D., Rodriguez Gonzalez, M., Burguete Cabanas, M. T., Kvedariene, V., Valiulis, A., Chavannes, N. H., Fokkens, W. J., Ryan, D., Sheikh, A., Bachert, C., Hellings, P. W., VandenPlas, O., Ballardini, N., Kull, I., Melen, E., Westman, M., Wickman, Magnus, Bindslev-Jensen, C., Eller, E., Bosnic-Anticevich, S., O'Hehir, R. E., Agache, I., Bieber, T., Casale, T., Gemicioglu, B., Ivancevich, J. C., De Vries, G., Sorensen, M., Yorgancioglu, A., and Laune, D.

Abstract

BackgroundMultimorbidity in allergic airway diseases is well known, but no data exist about the daily dynamics of symptoms and their impact on work. To better understand this, we aimed to assess the presence and control of daily allergic multimorbidity (asthma, conjunctivitis, rhinitis) and its impact on work productivity using a mobile technology, the Allergy Diary. MethodsWe undertook a 1-year prospective observational study in which 4 210 users and 32585days were monitored in 19 countries. Five visual analogue scales (VAS) assessed the daily burden of the disease (i.e., global evaluation, nose, eyes, asthma and work). Visual analogue scale levels <20/100 were categorized as "Low" burden and VAS levels 50/100 as "High" burden. ResultsVisual analogue scales global measured levels assessing the global control of the allergic disease were significantly associated with allergic multimorbidity. Eight hypothesis-driven patterns were defined based on "Low" and "High" VAS levels. There were <0.2% days of Rhinitis Low and Asthma High or Conjunctivitis High patterns. There were 5.9% days with a Rhinitis HighAsthma Low pattern. There were 1.7% days with a Rhinitis HighAsthma HighConjunctivitis Lowpattern. A novel Rhinitis HighAsthma HighConjunctivitis High pattern was identified in 2.9% days and had the greatest impact on uncontrolled VAS global measured and impaired work productivity. Work productivity was significantly correlated with VAS global measured levels. ConclusionsIn a novel approach examining daily symptoms with mobile technology, we found considerable intra-individual variability of allergic multimorbidity including a previously unrecognized extreme pattern of uncontrolled multimorbidity.

Published
2018
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9. Geolocation with respect to persona privacy for the Allergy Diary app - a MASK study

Author

Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., Poncelet, P., Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., and Poncelet, P.

Abstract

Background: Collecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel network: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy. The European Commission's Article 29 Working Party stated that geolocation information is personal data. To assess geolocation using the MASK method and to compare two anonymization methods in the MASK database to find an optimal privacy method. Methods: Geolocation was studied for all people who used the Allergy Diary App from December 2015 to November 2017 and who reported medical outcomes. Two different anonymization methods have been evaluated: Noise addition (randomization) and k-anonymity (generalization). Results: Ninety-three thousand one hundred and sixteen days of VAS were collected from 8535 users and 54,500 (58. 5%) were geolocalized, corresponding to 5428 users. Noise addition was found to be less accurate than k-anonymity using MASK data to protect the users' life privacy. Discussion: k-anonymity is an acceptable method for the anonymization of MASK data and results can be used for other databases.

Published
2018
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10. MASK 2017 : ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence.

Author

Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, Wallace, D V, Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, and Wallace, D V

Abstract

mHealth, such as apps running on consumer smart devices is becoming increasingly popular and has the potential to profoundly affect healthcare and health outcomes. However, it may be disruptive and results achieved are not always reaching the goals. Allergic Rhinitis and its Impact on Asthma (ARIA) has evolved from a guideline using the best evidence-based approach to care pathways suited to real-life using mobile technology in allergic rhinitis (AR) and asthma multimorbidity. Patients largely use over-the-counter medications dispensed in pharmacies. Shared decision making centered around the patient and based on self-management should be the norm. Mobile Airways Sentinel networK (MASK), the Phase 3 ARIA initiative, is based on the freely available MASK app (the Allergy Diary, Android and iOS platforms). MASK is available in 16 languages and deployed in 23 countries. The present paper provides an overview of the methods used in MASK and the key results obtained to date. These include a novel phenotypic characterization of the patients, confirmation of the impact of allergic rhinitis on work productivity and treatment patterns in real life. Most patients appear to self-medicate, are often non-adherent and do not follow guidelines. Moreover, the Allergy Diary is able to distinguish between AR medications. The potential usefulness of MASK will be further explored by POLLAR (Impact of Air Pollution on Asthma and Rhinitis), a new Horizon 2020 project using the Allergy Diary.

Published
2018
Full Text
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11. MASK 2017 : ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence.

Author

Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, Wallace, D V, Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, and Wallace, D V

Abstract

mHealth, such as apps running on consumer smart devices is becoming increasingly popular and has the potential to profoundly affect healthcare and health outcomes. However, it may be disruptive and results achieved are not always reaching the goals. Allergic Rhinitis and its Impact on Asthma (ARIA) has evolved from a guideline using the best evidence-based approach to care pathways suited to real-life using mobile technology in allergic rhinitis (AR) and asthma multimorbidity. Patients largely use over-the-counter medications dispensed in pharmacies. Shared decision making centered around the patient and based on self-management should be the norm. Mobile Airways Sentinel networK (MASK), the Phase 3 ARIA initiative, is based on the freely available MASK app (the Allergy Diary, Android and iOS platforms). MASK is available in 16 languages and deployed in 23 countries. The present paper provides an overview of the methods used in MASK and the key results obtained to date. These include a novel phenotypic characterization of the patients, confirmation of the impact of allergic rhinitis on work productivity and treatment patterns in real life. Most patients appear to self-medicate, are often non-adherent and do not follow guidelines. Moreover, the Allergy Diary is able to distinguish between AR medications. The potential usefulness of MASK will be further explored by POLLAR (Impact of Air Pollution on Asthma and Rhinitis), a new Horizon 2020 project using the Allergy Diary.

Published
2018
Full Text
View/download PDF

12. Geolocation with respect to persona privacy for the Allergy Diary app - a MASK study

Author

Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., Poncelet, P., Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., and Poncelet, P.

Abstract

Background: Collecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel network: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy. The European Commission's Article 29 Working Party stated that geolocation information is personal data. To assess geolocation using the MASK method and to compare two anonymization methods in the MASK database to find an optimal privacy method. Methods: Geolocation was studied for all people who used the Allergy Diary App from December 2015 to November 2017 and who reported medical outcomes. Two different anonymization methods have been evaluated: Noise addition (randomization) and k-anonymity (generalization). Results: Ninety-three thousand one hundred and sixteen days of VAS were collected from 8535 users and 54,500 (58. 5%) were geolocalized, corresponding to 5428 users. Noise addition was found to be less accurate than k-anonymity using MASK data to protect the users' life privacy. Discussion: k-anonymity is an acceptable method for the anonymization of MASK data and results can be used for other databases.

Published
2018
Full Text
View/download PDF

13. Geolocation with respect to persona privacy for the Allergy Diary app - a MASK study

Author

Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., Poncelet, P., Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., and Poncelet, P.

Abstract

Background: Collecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel network: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy. The European Commission's Article 29 Working Party stated that geolocation information is personal data. To assess geolocation using the MASK method and to compare two anonymization methods in the MASK database to find an optimal privacy method. Methods: Geolocation was studied for all people who used the Allergy Diary App from December 2015 to November 2017 and who reported medical outcomes. Two different anonymization methods have been evaluated: Noise addition (randomization) and k-anonymity (generalization). Results: Ninety-three thousand one hundred and sixteen days of VAS were collected from 8535 users and 54,500 (58. 5%) were geolocalized, corresponding to 5428 users. Noise addition was found to be less accurate than k-anonymity using MASK data to protect the users' life privacy. Discussion: k-anonymity is an acceptable method for the anonymization of MASK data and results can be used for other databases.

Published
2018
Full Text
View/download PDF

14. MASK 2017 : ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence.

Author

Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, Wallace, D V, Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, and Wallace, D V

Abstract

mHealth, such as apps running on consumer smart devices is becoming increasingly popular and has the potential to profoundly affect healthcare and health outcomes. However, it may be disruptive and results achieved are not always reaching the goals. Allergic Rhinitis and its Impact on Asthma (ARIA) has evolved from a guideline using the best evidence-based approach to care pathways suited to real-life using mobile technology in allergic rhinitis (AR) and asthma multimorbidity. Patients largely use over-the-counter medications dispensed in pharmacies. Shared decision making centered around the patient and based on self-management should be the norm. Mobile Airways Sentinel networK (MASK), the Phase 3 ARIA initiative, is based on the freely available MASK app (the Allergy Diary, Android and iOS platforms). MASK is available in 16 languages and deployed in 23 countries. The present paper provides an overview of the methods used in MASK and the key results obtained to date. These include a novel phenotypic characterization of the patients, confirmation of the impact of allergic rhinitis on work productivity and treatment patterns in real life. Most patients appear to self-medicate, are often non-adherent and do not follow guidelines. Moreover, the Allergy Diary is able to distinguish between AR medications. The potential usefulness of MASK will be further explored by POLLAR (Impact of Air Pollution on Asthma and Rhinitis), a new Horizon 2020 project using the Allergy Diary.

Published
2018
Full Text
View/download PDF

15. Geolocation with respect to persona privacy for the Allergy Diary app - a MASK study

Author

Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., Poncelet, P., Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., and Poncelet, P.

Abstract

Background: Collecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel network: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy. The European Commission's Article 29 Working Party stated that geolocation information is personal data. To assess geolocation using the MASK method and to compare two anonymization methods in the MASK database to find an optimal privacy method. Methods: Geolocation was studied for all people who used the Allergy Diary App from December 2015 to November 2017 and who reported medical outcomes. Two different anonymization methods have been evaluated: Noise addition (randomization) and k-anonymity (generalization). Results: Ninety-three thousand one hundred and sixteen days of VAS were collected from 8535 users and 54,500 (58. 5%) were geolocalized, corresponding to 5428 users. Noise addition was found to be less accurate than k-anonymity using MASK data to protect the users' life privacy. Discussion: k-anonymity is an acceptable method for the anonymization of MASK data and results can be used for other databases.

Published
2018
Full Text
View/download PDF

16. MASK 2017 : ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence.

Author

Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, Wallace, D V, Bousquet, J, Arnavielhe, S, Bedbrook, A, Bewick, M, Laune, D, Mathieu-Dupas, E, Murray, R, Onorato, G L, Pépin, J L, Picard, R, Portejoie, F, Costa, E, Fonseca, J, Lourenço, O, Morais-Almeida, M, Todo-Bom, A, Cruz, A A, da Silva, J, Serpa, F S, Illario, M, Menditto, E, Cecchi, L, Monti, R, Napoli, L, Ventura, M T, De Feo, G, Larenas-Linnemann, D, Fuentes Perez, M, Huerta Villabolos, Y R, Rivero-Yeverino, D, Rodriguez-Zagal, E, Amat, F, Annesi-Maesano, I, Bosse, I, Demoly, P, Devillier, P, Fontaine, J F, Just, J, Kuna, T P, Samolinski, B, Valiulis, A, Emuzyte, R, Kvedariene, V, Ryan, D, Sheikh, A, Schmidt-Grendelmeier, P, Klimek, L, Pfaar, O, Bergmann, K C, Mösges, R, Zuberbier, T, Roller-Wirnsberger, R E, Tomazic, P, Fokkens, W J, Chavannes, N H, Reitsma, S, Anto, J M, Cardona, V, Dedeu, T, Mullol, J, Haahtela, T, Salimäki, J, Toppila-Salmi, S, Valovirta, E, Gemicioğlu, B, Yorgancioglu, A, Papadopoulos, N, Prokopakis, E P, Bosnic-Anticevich, S, O'Hehir, R, Ivancevich, J C, Neffen, H, Zernotti, E, Kull, I, Melen, E, Wickman, Magnus, Bachert, C, Hellings, P, Palkonen, S, Bindslev-Jensen, C, Eller, E, Waserman, S, Sova, M, De Vries, G, van Eerd, M, Agache, I, Casale, T, Dykewickz, M, Naclerio, R N, Okamoto, Y, and Wallace, D V

Abstract

mHealth, such as apps running on consumer smart devices is becoming increasingly popular and has the potential to profoundly affect healthcare and health outcomes. However, it may be disruptive and results achieved are not always reaching the goals. Allergic Rhinitis and its Impact on Asthma (ARIA) has evolved from a guideline using the best evidence-based approach to care pathways suited to real-life using mobile technology in allergic rhinitis (AR) and asthma multimorbidity. Patients largely use over-the-counter medications dispensed in pharmacies. Shared decision making centered around the patient and based on self-management should be the norm. Mobile Airways Sentinel networK (MASK), the Phase 3 ARIA initiative, is based on the freely available MASK app (the Allergy Diary, Android and iOS platforms). MASK is available in 16 languages and deployed in 23 countries. The present paper provides an overview of the methods used in MASK and the key results obtained to date. These include a novel phenotypic characterization of the patients, confirmation of the impact of allergic rhinitis on work productivity and treatment patterns in real life. Most patients appear to self-medicate, are often non-adherent and do not follow guidelines. Moreover, the Allergy Diary is able to distinguish between AR medications. The potential usefulness of MASK will be further explored by POLLAR (Impact of Air Pollution on Asthma and Rhinitis), a new Horizon 2020 project using the Allergy Diary.

Published
2018
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17. Geolocation with respect to persona privacy for the Allergy Diary app - a MASK study

Author

Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., Poncelet, P., Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E., Malva, J., Morais-Almeida, M., Pereira, A. M., Todo-Bom, A., Menditto, E., Stellato, C., Ventura, M. T., Larenas-Linnemann, D., Fuentes-Perez, J-M, Huerta-Villalobos, Y. R., Cruz, A. A., Stelmach, R., Da Silva, J., Emuzyte, R., Kvedariene, V., Valiulis, A., Annesi-Maesano, I., Bosse, I., Demoly, P., Devillier, P., Fontaine, J. F., Kuna, P., Samolinski, B., Klimek, L., Mosges, R., Pfaar, O., Shamai, S., Bewick, M., Ryan, D., Sheikh, A., Anto, J. M., Cardona, V., Mullol, J., Valero, A., Chavannes, N. H., Fokkens, W. J., Reitsma, S., Roller-Wirnsberger, R. E., Tomazic, P. V., Haahtela, T., Toppila-Salmi, S., Valovirta, E., Makris, M., Papadopoulos, N. G., Prokopakis, E. P., Psarros, F., Gemicioglu, B., Yorgancioglu, A., Bindslev-Jensen, C., Eller, E., Kull, I., Wickman, Magnus, Bachert, C., Hellings, P. W., Pugin, B., Bosnic-Anticevich, S., O'Hehir, R. E., Kolek, V., Sova, M., Wehner, K., De Vries, G., van Eerd, M., Laune, D., Wittmann, J., Bousquet, J., and Poncelet, P.

Abstract

Background: Collecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel network: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy. The European Commission's Article 29 Working Party stated that geolocation information is personal data. To assess geolocation using the MASK method and to compare two anonymization methods in the MASK database to find an optimal privacy method. Methods: Geolocation was studied for all people who used the Allergy Diary App from December 2015 to November 2017 and who reported medical outcomes. Two different anonymization methods have been evaluated: Noise addition (randomization) and k-anonymity (generalization). Results: Ninety-three thousand one hundred and sixteen days of VAS were collected from 8535 users and 54,500 (58. 5%) were geolocalized, corresponding to 5428 users. Noise addition was found to be less accurate than k-anonymity using MASK data to protect the users' life privacy. Discussion: k-anonymity is an acceptable method for the anonymization of MASK data and results can be used for other databases.

Published
2018
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