Electronic Clinical Decision Support System for allergic rhinitis management: MASK e-CDSS

Anne-Lise Courbis; Ruth Brigid Murray; Sylvie Arnavielhe; David Caimmi; Anna Bedbrook; Michiel Van Eerd; Govert De Vries; Gerard Dray; Ioana Agache; Mario Morais-Almeida; Claus Bachert; Karl Christian Bergmann; Sinthia Bosnic-Anticevich; Jan Brozek; Caterina Bucca; Paulo Camargos; Giorgio Walter Canonica; Warner Carr; Thomas Casale; Joao A. Fonseca; Tari Haahtela; Omer Kalayci; Ludger Klimek; Piotr Kuna; Violeta Kvedariene; Desiree Larenas Linnemann; Phil Lieberman; Joaquim Mullol; Robyn Ohehir; Nikolaos Papadopoulos; David Price; Dermot Ryan; Boleslaw Samolinski; F. Estelle Simons; Peter Tomazic; Massimo Triggiani; Arunas Valiulis; Erkka Valovirta; Martin Wagenmann; Magnus Wickman; Arzu Yorgancioglu; Jean Bousquet

doi:10.1111/cea.13230

Electronic Clinical Decision Support System for allergic rhinitis management: MASK e-CDSS

Anne-Lise Courbis, Ruth Brigid Murray, Sylvie Arnavielhe, David Caimmi, Anna Bedbrook, Michiel Van Eerd, Govert De Vries, Gerard Dray, Ioana Agache, Mario Morais-Almeida, Claus Bachert, Karl Christian Bergmann, Sinthia Bosnic-Anticevich, Jan Brozek, Caterina Bucca, Paulo Camargos, Giorgio Walter Canonica, Warner Carr, Thomas Casale, Joao A. FonsecaTari Haahtela, Omer Kalayci, Ludger Klimek, Piotr Kuna, Violeta Kvedariene, Desiree Larenas Linnemann, Phil Lieberman, Joaquim Mullol, Robyn Ohehir, Nikolaos Papadopoulos, David Price, Dermot Ryan, Boleslaw Samolinski, F. Estelle Simons, Peter Tomazic, Massimo Triggiani, Arunas Valiulis, Erkka Valovirta, Martin Wagenmann, Magnus Wickman, Arzu Yorgancioglu, Jean Bousquet

Research output: Contribution to journal › Article › peer-review

63 Citations (Scopus)

Abstract

Background: Allergic rhinitis (AR) management has changed in recent years following the switch from the concept of disease severity to the concept of disease control, publication of the AR clinical decision support system (CDSS) and development of mobile health (m-health) tools for patients (eg Allergy Diary). The Allergy Diary Companion app for healthcare providers is currently being developed and will be launched in 2018. It incorporates the AR CDSS to provide evidence-based treatment recommendations, linking all key stakeholders in AR management.

Objective: To produce an electronic version of the AR CDSS (e-CDSS) for incorporation into the Allergy Diary Companion, to describe the app interfaces used to collect information necessary to inform the e-CDSS and to summarize some key features of the Allergy Diary Companion.

Methods: The steps involved in producing the e-CDSS and incorporating it into the Allergy Diary Companion were (a) generation of treatment management scenarios; (b) expert consensus on treatment recommendations; (c) generation of electronic decisional algorithms to describe all AR CDSS scenarios; (d) digitization of these algorithms to form the e-CDSS; and (e) embedding the e-CDSS into the app to permit easy user e-CDSS interfacing.

Results: Key experts in the AR field agreed on the AR CDSS approach to AR management and on specific treatment recommendations provided by Allergy Diary Companion. Based on this consensus, decision processes were developed and programmed into the Allergy Diary Companion using Titanium Appcelerator (JavaScript) for IOS tablets. To our knowledge, this is the first time the development of any m-health tool has been described in this transparent and detailed way, providing confidence, not only in the app, but also in the provided management recommendations.

Conclusion: The Allergy Diary Companion for providers provides guideline and expert-endorsed AR management recommendations.

Original language	English
Pages (from-to)	1640-1653
Number of pages	14
Journal	Clinical and Experimental Allergy
Volume	48
Issue number	12
DOIs	https://doi.org/10.1111/cea.13230
Publication status	Published - Dec 2018
Externally published	Yes

Access to Document

10.1111/cea.13230

Cite this

Courbis, A.-L., Murray, R. B., Arnavielhe, S., Caimmi, D., Bedbrook, A., Van Eerd, M., De Vries, G., Dray, G., Agache, I., Morais-Almeida, M., Bachert, C., Bergmann, K. C., Bosnic-Anticevich, S., Brozek, J., Bucca, C., Camargos, P., Canonica, G. W., Carr, W., Casale, T., ... Bousquet, J. (2018). Electronic Clinical Decision Support System for allergic rhinitis management: MASK e-CDSS. Clinical and Experimental Allergy, 48(12), 1640-1653. https://doi.org/10.1111/cea.13230

@article{4f5e1971d2e34746b00caf2fc8c77b98,

title = "Electronic Clinical Decision Support System for allergic rhinitis management: MASK e-CDSS",

abstract = "Background: Allergic rhinitis (AR) management has changed in recent years following the switch from the concept of disease severity to the concept of disease control, publication of the AR clinical decision support system (CDSS) and development of mobile health (m-health) tools for patients (eg Allergy Diary). The Allergy Diary Companion app for healthcare providers is currently being developed and will be launched in 2018. It incorporates the AR CDSS to provide evidence-based treatment recommendations, linking all key stakeholders in AR management.Objective: To produce an electronic version of the AR CDSS (e-CDSS) for incorporation into the Allergy Diary Companion, to describe the app interfaces used to collect information necessary to inform the e-CDSS and to summarize some key features of the Allergy Diary Companion.Methods: The steps involved in producing the e-CDSS and incorporating it into the Allergy Diary Companion were (a) generation of treatment management scenarios; (b) expert consensus on treatment recommendations; (c) generation of electronic decisional algorithms to describe all AR CDSS scenarios; (d) digitization of these algorithms to form the e-CDSS; and (e) embedding the e-CDSS into the app to permit easy user e-CDSS interfacing.Results: Key experts in the AR field agreed on the AR CDSS approach to AR management and on specific treatment recommendations provided by Allergy Diary Companion. Based on this consensus, decision processes were developed and programmed into the Allergy Diary Companion using Titanium Appcelerator (JavaScript) for IOS tablets. To our knowledge, this is the first time the development of any m-health tool has been described in this transparent and detailed way, providing confidence, not only in the app, but also in the provided management recommendations.Conclusion: The Allergy Diary Companion for providers provides guideline and expert-endorsed AR management recommendations.",

author = "Anne-Lise Courbis and Murray, {Ruth Brigid} and Sylvie Arnavielhe and David Caimmi and Anna Bedbrook and {Van Eerd}, Michiel and {De Vries}, Govert and Gerard Dray and Ioana Agache and Mario Morais-Almeida and Claus Bachert and Bergmann, {Karl Christian} and Sinthia Bosnic-Anticevich and Jan Brozek and Caterina Bucca and Paulo Camargos and Canonica, {Giorgio Walter} and Warner Carr and Thomas Casale and Fonseca, {Joao A.} and Tari Haahtela and Omer Kalayci and Ludger Klimek and Piotr Kuna and Violeta Kvedariene and {Larenas Linnemann}, Desiree and Phil Lieberman and Joaquim Mullol and Robyn Ohehir and Nikolaos Papadopoulos and David Price and Dermot Ryan and Boleslaw Samolinski and Simons, {F. Estelle} and Peter Tomazic and Massimo Triggiani and Arunas Valiulis and Erkka Valovirta and Martin Wagenmann and Magnus Wickman and Arzu Yorgancioglu and Jean Bousquet",

year = "2018",

month = dec,

doi = "10.1111/cea.13230",

language = "English",

volume = "48",

pages = "1640--1653",

journal = "Clinical and Experimental Allergy",

issn = "0954-7894",

publisher = "Wiley-Blackwell, Wiley",

number = "12",

}

Courbis, A-L, Murray, RB, Arnavielhe, S, Caimmi, D, Bedbrook, A, Van Eerd, M, De Vries, G, Dray, G, Agache, I, Morais-Almeida, M, Bachert, C, Bergmann, KC, Bosnic-Anticevich, S, Brozek, J, Bucca, C, Camargos, P, Canonica, GW, Carr, W, Casale, T, Fonseca, JA, Haahtela, T, Kalayci, O, Klimek, L, Kuna, P, Kvedariene, V, Larenas Linnemann, D, Lieberman, P, Mullol, J, Ohehir, R, Papadopoulos, N, Price, D, Ryan, D, Samolinski, B, Simons, FE, Tomazic, P, Triggiani, M, Valiulis, A, Valovirta, E, Wagenmann, M, Wickman, M, Yorgancioglu, A & Bousquet, J 2018, 'Electronic Clinical Decision Support System for allergic rhinitis management: MASK e-CDSS', Clinical and Experimental Allergy, vol. 48, no. 12, pp. 1640-1653. https://doi.org/10.1111/cea.13230

TY - JOUR

T1 - Electronic Clinical Decision Support System for allergic rhinitis management

T2 - MASK e-CDSS

AU - Courbis, Anne-Lise

AU - Murray, Ruth Brigid

AU - Arnavielhe, Sylvie

AU - Caimmi, David

AU - Bedbrook, Anna

AU - Van Eerd, Michiel

AU - De Vries, Govert

AU - Dray, Gerard

AU - Agache, Ioana

AU - Morais-Almeida, Mario

AU - Bachert, Claus

AU - Bergmann, Karl Christian

AU - Bosnic-Anticevich, Sinthia

AU - Brozek, Jan

AU - Bucca, Caterina

AU - Camargos, Paulo

AU - Canonica, Giorgio Walter

AU - Carr, Warner

AU - Casale, Thomas

AU - Fonseca, Joao A.

AU - Haahtela, Tari

AU - Kalayci, Omer

AU - Klimek, Ludger

AU - Kuna, Piotr

AU - Kvedariene, Violeta

AU - Larenas Linnemann, Desiree

AU - Lieberman, Phil

AU - Mullol, Joaquim

AU - Ohehir, Robyn

AU - Papadopoulos, Nikolaos

AU - Price, David

AU - Ryan, Dermot

AU - Samolinski, Boleslaw

AU - Simons, F. Estelle

AU - Tomazic, Peter

AU - Triggiani, Massimo

AU - Valiulis, Arunas

AU - Valovirta, Erkka

AU - Wagenmann, Martin

AU - Wickman, Magnus

AU - Yorgancioglu, Arzu

AU - Bousquet, Jean

PY - 2018/12

Y1 - 2018/12

N2 - Background: Allergic rhinitis (AR) management has changed in recent years following the switch from the concept of disease severity to the concept of disease control, publication of the AR clinical decision support system (CDSS) and development of mobile health (m-health) tools for patients (eg Allergy Diary). The Allergy Diary Companion app for healthcare providers is currently being developed and will be launched in 2018. It incorporates the AR CDSS to provide evidence-based treatment recommendations, linking all key stakeholders in AR management.Objective: To produce an electronic version of the AR CDSS (e-CDSS) for incorporation into the Allergy Diary Companion, to describe the app interfaces used to collect information necessary to inform the e-CDSS and to summarize some key features of the Allergy Diary Companion.Methods: The steps involved in producing the e-CDSS and incorporating it into the Allergy Diary Companion were (a) generation of treatment management scenarios; (b) expert consensus on treatment recommendations; (c) generation of electronic decisional algorithms to describe all AR CDSS scenarios; (d) digitization of these algorithms to form the e-CDSS; and (e) embedding the e-CDSS into the app to permit easy user e-CDSS interfacing.Results: Key experts in the AR field agreed on the AR CDSS approach to AR management and on specific treatment recommendations provided by Allergy Diary Companion. Based on this consensus, decision processes were developed and programmed into the Allergy Diary Companion using Titanium Appcelerator (JavaScript) for IOS tablets. To our knowledge, this is the first time the development of any m-health tool has been described in this transparent and detailed way, providing confidence, not only in the app, but also in the provided management recommendations.Conclusion: The Allergy Diary Companion for providers provides guideline and expert-endorsed AR management recommendations.

AB - Background: Allergic rhinitis (AR) management has changed in recent years following the switch from the concept of disease severity to the concept of disease control, publication of the AR clinical decision support system (CDSS) and development of mobile health (m-health) tools for patients (eg Allergy Diary). The Allergy Diary Companion app for healthcare providers is currently being developed and will be launched in 2018. It incorporates the AR CDSS to provide evidence-based treatment recommendations, linking all key stakeholders in AR management.Objective: To produce an electronic version of the AR CDSS (e-CDSS) for incorporation into the Allergy Diary Companion, to describe the app interfaces used to collect information necessary to inform the e-CDSS and to summarize some key features of the Allergy Diary Companion.Methods: The steps involved in producing the e-CDSS and incorporating it into the Allergy Diary Companion were (a) generation of treatment management scenarios; (b) expert consensus on treatment recommendations; (c) generation of electronic decisional algorithms to describe all AR CDSS scenarios; (d) digitization of these algorithms to form the e-CDSS; and (e) embedding the e-CDSS into the app to permit easy user e-CDSS interfacing.Results: Key experts in the AR field agreed on the AR CDSS approach to AR management and on specific treatment recommendations provided by Allergy Diary Companion. Based on this consensus, decision processes were developed and programmed into the Allergy Diary Companion using Titanium Appcelerator (JavaScript) for IOS tablets. To our knowledge, this is the first time the development of any m-health tool has been described in this transparent and detailed way, providing confidence, not only in the app, but also in the provided management recommendations.Conclusion: The Allergy Diary Companion for providers provides guideline and expert-endorsed AR management recommendations.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85052430584&partnerID=MN8TOARS

U2 - 10.1111/cea.13230

DO - 10.1111/cea.13230

M3 - Article

C2 - 29999223

SN - 0954-7894

VL - 48

SP - 1640

EP - 1653

JO - Clinical and Experimental Allergy

JF - Clinical and Experimental Allergy

IS - 12

ER -

Electronic Clinical Decision Support System for allergic rhinitis management: MASK e-CDSS

Abstract

Access to Document

Other files and links

Fingerprint

Cite this