dc.contributor.author
Arasi, Stefania
dc.contributor.author
Castelli, Sveva
dc.contributor.author
Di Fraia, Marco
dc.contributor.author
Villalta, Danilo
dc.contributor.author
Tripodi, Salvatore
dc.contributor.author
Perna, Serena
dc.contributor.author
Dramburg, Stephanie
dc.contributor.author
Brighetti, Maria Antonia
dc.contributor.author
Conte, Mariaelisabetta
dc.contributor.author
Martelli, Paola
dc.contributor.author
Sfika, Ifigenia
dc.contributor.author
Travaglini, Alessandro
dc.contributor.author
Verardo, Pier Luigi
dc.contributor.author
Villella, Valeria
dc.contributor.author
Matricardi, Paolo Maria
dc.date.accessioned
2022-12-07T13:35:56Z
dc.date.available
2022-12-07T13:35:56Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/37211
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-36923
dc.description.abstract
Background: Allergen immunotherapy (AIT) is the only disease-modifying treatment in patients with seasonal allergic rhinoconjunctivitis (SAR). Its efficacy depends on the precise identification of the triggering allergen. However, diagnostics based on retrospective clinical history and sensitization to whole extracts (SWE) often leads to equivocal results.
Objectives: To assess the usability and impact of a recently established algorithm for a clinical decision support system (@IT2020-CDSS) for SAR and its diagnostic steps [anamnesis, SWE (skin prick test or serum IgE), component resolved diagnosis, CRD, and real-time digital symptom recording, eDiary] on doctor's AIT prescription decisions.
Methods: After educational training on the @IT2020-CDSS algorithm, 46 doctors (18 allergy specialists, AS, and 28 general practitioners, GP) expressed their hypothetical AIT prescription for 10 clinical index cases. Decisions were recorded repeatedly based on different steps of the algorithm. The usability and perceived impact of the algorithm were evaluated.
Results: The combined use of CRD and an eDiary increased the hypothetical AIT prescriptions, both among AS and GP (p < .01). AIT prescription for pollen and Alternaria allergy based on anamnesis and SWE was heterogeneous but converged towards a consensus by integrating CRD and eDiary information. Doctors considered the algorithm useful and recognized its potential in enhancing traditional diagnostics.
Conclusions and clinical implications: The implementation of CRD and eDiary in the @IT2020-CDSS algorithm improved consensus on AIT prescription for SAR among AS and GP. The potential usefulness of a CDSS for aetiological diagnosis of SAR and AIT prescription in real-world clinical practice deserves further investigation.
en
dc.rights.uri
https://creativecommons.org/licenses/by-nc/4.0/
dc.subject
allergen-specific immunotherapy
en
dc.subject
clinical decision support system
en
dc.subject
component resolved diagnostics
en
dc.subject
mobile health
en
dc.subject
seasonal allergic rhinitis
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
@IT2020: An innovative algorithm for allergen immunotherapy prescription in seasonal allergic rhinitis
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1111/cea.13867
dcterms.bibliographicCitation.journaltitle
Clinical & Experimental Allergy
dcterms.bibliographicCitation.number
6
dcterms.bibliographicCitation.originalpublishername
Wiley
dcterms.bibliographicCitation.pagestart
821
dcterms.bibliographicCitation.pageend
828
dcterms.bibliographicCitation.volume
51
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.funding
DEAL Wiley
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
33759270
dcterms.isPartOf.issn
0954-7894
dcterms.isPartOf.eissn
1365-2222