ReviewClinical and translational allergy2021
Validity, reliability, and responsiveness of daily monitoring visual analog scales in MASK-air®.
Review in Clinical and translational allergy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Validity, reliability, and responsiveness of the EQ-5D in diseases of the upper respiratory tract: a systematic review of measurement properties.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Pooled it
- Comparison of Allergic Rhinitis Treatments on Utilities and Quality of Life: A MASK-air Study.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026Observational
- ARIA-EAACI 2025: Person-Centred, Digitally Enabled and Artificial Intelligence-Assisted Change Management in Airway Diseases: An OECD Best Practice for Integrated Care for Chronic Diseases.Clinical and translational allergy · 2026Article
- Effects of Napping on Cognitive and Physical Performance in Sleep-Deprived Elite Kung-Fu Athletes.Life (Basel, Switzerland) · 2026Article
- Article
- Comparison of Allergic Rhinitis Treatments on Patient Satisfaction: A MASK-air and EAACI Methodological Committee Report.Allergy · 2025Article
- Adherence to Treatment in Allergic Rhinitis During the Pollen Season in Europe: A MASK-air Study.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2025Article
- Concurrent validity, cut-offs and ability to change of patient-reported outcome measures for rhinitis and asthma in MASK-airClinical and translational allergy · 2024Article
- Proof-of-concept study of anti-Fel d 1 IgY antibodies in cat food using the MASK-airClinical and translational allergy · 2024Article
- CRUSEClinical and translational allergy · 2024Article
- Why the role of mHealth in allergy diagnosis and treatment adherence cannot be overlooked.Clinical and translational allergy · 2023Review
- Digitally-enabled, patient-centred care in rhinitis and asthma multimorbidity: The ARIA-MASK-airClinical and translational allergy · 2023Article
- Real-life evidence in allergen immunotherapy: Moving forward with mHealth apps.Allergologie select · 2023Review
- Real-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities.Clinical and translational allergy · 2022Article
- Control of Allergic Rhinitis and Asthma Test: A systematic review of measurement properties and COSMIN analysis.Clinical and translational allergy · 2022Review
- Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study.JMIR mHealth and uHealth · 2022Article
- Allergen immunotherapy in MASK-air users in real-life: Results of a Bayesian mixed-effects model.Clinical and translational allergy · 2022Article
- Heterogeneous validity of daily data on symptoms of seasonal allergic rhinitis recorded by patients using the e-diary AllergyMonitor®.Clinical and translational allergy · 2021Article
- Validity, reliability, and responsiveness of daily monitoring visual analog scales in MASK-air®.Clinical and translational allergy · 2021Review
- The evolving reality of digital health.Digital healthArticle
Corrections and comments
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Authors and funding
55 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMASK-air® is an app that supports allergic rhinitis patients in disease control. Users register daily allergy symptoms and their impact on activities using visual analog scales (VASs). We aimed to assess the concurrent validity, reliability, and responsiveness of these daily VASs.
methodsDaily monitoring VAS data were assessed in MASK-air® users with allergic rhinitis. Concurrent validity was assessed by correlating daily VAS values with those of the EuroQol-5 Dimensions (EQ-5D) VAS, the Control of Allergic Rhinitis and Asthma Test (CARAT) score, and the Work Productivity and Activity Impairment Allergic Specific (WPAI-AS) Questionnaire (work and activity impairment scores). Intra-rater reliability was assessed in users providing multiple daily VASs within the same day. Test-retest reliability was tested in clinically stable users, as defined by the EQ-5D VAS, CARAT, or "VAS Work" (i.e., VAS assessing the impact of allergy on work). Responsiveness was determined in users with two consecutive measurements of EQ-5D-VAS or "VAS Work" indicating clinical change.
resultsA total of 17,780 MASK-air® users, with 317,176 VAS days, were assessed. Concurrent validity was moderate-high (Spearman correlation coefficient range: 0.437-0.716). Intra-rater reliability intraclass correlation coefficients (ICCs) ranged between 0.870 (VAS assessing global allergy symptoms) and 0.937 (VAS assessing allergy symptoms on sleep). Test-retest reliability ICCs ranged between 0.604 and 0.878-"VAS Work" and "VAS asthma" presented the highest ICCs. Moderate/large responsiveness effect sizes were observed-the sleep VAS was associated with lower responsiveness, while the global allergy symptoms VAS demonstrated higher responsiveness.
conclusionIn MASK-air®, daily monitoring VASs have high intra-rater reliability and moderate-high validity, reliability, and responsiveness, pointing to a reliable measure of symptom loads.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.