Translating the Burden of Pollen Allergy Into Numbers Using Electronically Generated Symptom Data From the Patient's Hayfever Diary in Austria and Germany: 10-Year Observational Study

Journal of Medical Internet Research
Katharina BastlUwe Berger

Abstract

Pollen allergies affect a significant proportion of the population globally. At present, Web-based tools such as pollen diaries and mobile apps allow for easy and fast documentation of allergic symptoms via the internet. This study aimed to characterize the users of the Patient's Hayfever Diary (PHD), a Web-based platform and mobile app, to apply different symptom score calculations for comparison, and to evaluate the contribution of organs and medications to the total score for the first time. The PHD users were filtered with regard to their location in Austria and Germany, significant positive correlation to the respective pollen type (birch/grass), and at least 15 entries in the respective season. Furthermore, 4 different symptom score calculation methods were applied to the datasets from 2009 until 2018, of which 2 were raw symptom scores and 2 were symptom load index (normalized) calculations. Pearson correlation coefficients were calculated pairwise for these 4 symptom score calculations. Users were mostly male and belonged to the age groups of 21 to 40 years or >40 years. User numbers have increased in the last 5 years, especially when mobile apps were made available. The Pearson correlation coefficients showed a signifi...Continue Reading

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Jun 24, 2019·Allergy·Paolo Maria MatricardiIoana Agache

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Citations

Mar 25, 2021·Clinical and Experimental Allergy : Journal of the British Society for Allergy and Clinical Immunology·Stefania ArasiPaolo Maria Matricardi
Apr 25, 2021·Environmental Research·Chiara SuannoStefano Del Duca
Mar 5, 2021·The Journal of Allergy and Clinical Immunology. in Practice·Jean BousquetTorsten Zuberbier

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