Automatic market research of mobile health apps for the self-management of allergic rhinitis.
-
Authors
-
-
Antó, Aram1
-
Sousa-Pinto, Bernardo2, 3
-
Czarlewski, Wienczyslawa4, 5
-
Pfaar, Oliver6
-
Bosnic-Anticevich, Sinthia7, 8
-
Klimek, Ludger9
-
Matricardi, Paolo10
-
Tripodi, Salvatore11
-
Fonseca, Joao A2, 3, 12
-
Antó, Josep M13, 14, 15, 16
-
Bousquet, Jean17, 18, 19
-
1
MASK-air, Montpellier, France.
,
(France)
-
2
MEDCIDS - Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
,
(Portugal)
-
3
CINTESIS - Center for Health Technology and Services Research, University of Porto, Porto, Portugal.
,
(Portugal)
-
4
Medical Consulting Czarlewski, Levallois, France.
,
(France)
-
5
ARIA, Montpellier, France.
,
(France)
-
6
Section of Rhinology and Allergy, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Marburg, Philipps-Universität Marburg, Marburg, Germany.
,
(Germany)
-
7
Quality Use of Respiratory Medicine Group, Woolcock Institute of Medical Research, The University of Sydney, Sydney, New South Wales, Australia.
,
(Australia)
-
8
Sydney Local Health District, Sydney, New South Wales, Australia.
,
(Australia)
-
9
AG Molecular Allergology and Digital Health, Department of Pediatric Pneumology, Immunology and Critical Care Medicine, Charité Universitätsmedizin - Berlin, Berlin, Germany.
,
(Germany)
-
10
Center for Rhinology and Allergology, Wiesbaden, Germany.
,
(Germany)
-
11
Allergology Service, Policlinico Casilino, Rome, Italy.
,
(Italy)
-
12
MEDIDA-Medicina, EDucação, I&D e Avaliação, Lda, Porto, Portugal.
,
(Portugal)
-
13
ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.
,
(Spain)
-
14
Universitat Pompeu Fabra (UPF), Barcelona, Spain.
,
(Spain)
-
15
IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
,
(Spain)
-
16
CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
,
(Spain)
-
17
Institute for Allergology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
,
(Germany)
-
18
Allergology and Immunology, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Berlin, Germany.
,
(Germany)
-
19
University Hospital of Montpellier, Montpellier, France.
,
(France)
- Type
- Published Article
- Journal
-
Clinical & Experimental Allergy
- Publisher
-
Wiley (Blackwell Publishing)
- Publication Date
-
Oct 01, 2022
- Volume
-
52
- Issue
-
10
- Pages
-
1195–1207
- Identifiers
-
DOI: 10.1111/cea.14135
-
PMID: 35315164
- Source
-
Medline
- Keywords
-
- Language
-
English
- License
-
Unknown
Abstract
Only a small number of apps addressing allergic rhinitis (AR) patients have been evaluated. This makes their selection difficult. We aimed to introduce a new approach to market research for AR apps, based on the automatic screening of Apple App and Google Play stores. A JavaScript programme was devised for automatic app screening, and applied in a market assessment of AR self-management apps. We searched the Google Play and Apple App stores of three countries (USA, UK and Australia) with the following search terms: "hay fever", "hayfever", "asthma", "rhinitis", "allergic rhinitis". Apps were eligible if symptoms were evaluated. Results obtained with the automatic programme were compared to those of a blinded manual search. As an example, we used the search to assess apps that can be used to design a combined medication score for AR. The automatic search programme identified 39 potentially eligible apps out of a total of 1593 retrieved apps. Each of the 39 apps was individually checked, with 20 being classified as relevant. The manual search identified 19 relevant apps (out of 6750 screened apps). Combining both methods, a total of 21 relevant apps were identified, pointing to a sensitivity of 95% and a specificity of 99% for the automatic method. Among these 21 apps, only two could be used for the combined symptom-medication score for AR. The programmed algorithm presented herein is able to continuously retrieve all relevant AR apps in the Apple App and Google Play stores, with high sensitivity and specificity. This approach has the potential to unveil the gaps and unmet needs of the apps developed so far. © 2022 The Authors. Clinical & Experimental Allergy published by John Wiley & Sons Ltd.
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.
This record was last updated on 01/28/2023 and may not reflect the most current and accurate biomedical/scientific data available from NLM.
The corresponding record at NLM can be accessed at
https://www.ncbi.nlm.nih.gov/pubmed/35315164
