ArticleClinical and translational allergy2023
The minimal clinically important difference of app-based electronic patient-reported outcomes for hay fever.
Article in Clinical and translational allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of Intranasal Corticosteroids for Sleep Disturbances in Patients with Allergic Rhinitis: A Systematic Review and Meta-Analysis.International archives of allergy and immunology · 2025Pooled it
- Association between eye washing and ocular symptoms of hay fever: a mobile app-based prospective cohort study in Japan.Scientific reports · 2025Observational
- Profiling eyewash usage and preferences in individuals with hay fever using a digital cross-sectional cohort study with AllerSearch.Scientific reports · 2025Article
- Minimal Clinically Important Differences With the Outcomes of the App-Based Japanese Allergic Conjunctival Diseases Quality of Life Questionnaire: Cross-Sectional Observational Study.JMIR formative research · 2024Observational
- The impact of COVID-19 on hay fever treatment in Japan: A retrospective cohort study based on the Japanese claims database.Clinical and translational allergy · 2024Article
- Diagnosis and treatment of anterior cruciate ligament injuries: Consensus of Chinese experts part II: Graft selection and clinical outcome evaluation.Journal of orthopaedic translation · 2024Article
- Article
- The minimal clinically important difference of app-based electronic patient-reported outcomes for hay fever.Clinical and translational allergy · 2023Article
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Authors and funding
17 authors.
Funding
Abstract
backgroundHay fever is a common allergic disease, with an estimated worldwide prevalence of 14.4% and a variety of symptoms. This study assessed the minimal clinically important difference (MCID) of nasal symptom score (NSS), non-nasal symptom score (NNSS), and total symptoms score (TSS) for app-based hay-fever monitoring.
methodsMCIDs were calculated based on the data from a previous large-scale, crowdsourced, cross-sectional study using AllerSearch, an in-house smartphone application. MCIDs were determined with anchor-based and distribution-based methods. The face scale score of the Japanese Allergic Conjunctival Disease Standard Quality of Life Questionnaire Domain III and the daily stress level due to hay fever were used as anchors for determining MCIDs. The MCID estimates were summarized as MCID ranges.
resultsA total of 7590 participants were included in the analysis (mean age: 35.3 years, 57.1% women). The anchor-based method produced a range of MCID values (median, interquartile range) for NSS (2.0, 1.5-2.1), NNSS (1.0, 0.9-1.2), and TSS (2.9, 2.4-3.3). The distribution-based method produced two MCIDs (based on half a standard deviation, based on a standard error of measurement) for NSS (2.0, 1.8), NNSS (1.3, 1.2), and TSS (3.0, 2.3). The final suggested MCID ranges for NSS, NNSS, and TSS were 1.8-2.1, 1.2-1.3, and 2.4-3.3, respectively.
conclusionsMCID ranges for app-based hay-fever symptom assessment were obtained from the data collected through a smartphone application, AllerSearch. These estimates may be useful for monitoring the subjective symptoms of Japanese patients with hay fever through mobile platforms.
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