The minimal clinically important difference of app‐based electronic patient‐reported outcomes for hay fever
Abstract Background Hay 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) f...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-05-01
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| Series: | Clinical and Translational Allergy |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/clt2.12244 |
| _version_ | 1797820220938649600 |
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| author | Ken Nagino Jaemyoung Sung Akie Midorikawa‐Inomata Atsuko Eguchi Keiichi Fujimoto Yuichi Okumura Alan Yee Kenta Fujio Yasutsugu Akasaki Tianxiang Huang Maria Miura Shokirova Hurramhon Kunihiko Hirosawa Mizu Ohno Yuki Morooka Hiroyuki Kobayashi Takenori Inomata |
| author_facet | Ken Nagino Jaemyoung Sung Akie Midorikawa‐Inomata Atsuko Eguchi Keiichi Fujimoto Yuichi Okumura Alan Yee Kenta Fujio Yasutsugu Akasaki Tianxiang Huang Maria Miura Shokirova Hurramhon Kunihiko Hirosawa Mizu Ohno Yuki Morooka Hiroyuki Kobayashi Takenori Inomata |
| author_sort | Ken Nagino |
| collection | DOAJ |
| description | Abstract Background Hay 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. Methods MCIDs 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. Results A 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. Conclusions MCID 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. |
| first_indexed | 2024-03-13T09:35:13Z |
| format | Article |
| id | doaj.art-2eeb93d457d24b098d34d7426d02cea1 |
| institution | Directory Open Access Journal |
| issn | 2045-7022 |
| language | English |
| last_indexed | 2024-03-13T09:35:13Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Clinical and Translational Allergy |
| spelling | doaj.art-2eeb93d457d24b098d34d7426d02cea12023-05-25T14:32:30ZengWileyClinical and Translational Allergy2045-70222023-05-01135n/an/a10.1002/clt2.12244The minimal clinically important difference of app‐based electronic patient‐reported outcomes for hay feverKen Nagino0Jaemyoung Sung1Akie Midorikawa‐Inomata2Atsuko Eguchi3Keiichi Fujimoto4Yuichi Okumura5Alan Yee6Kenta Fujio7Yasutsugu Akasaki8Tianxiang Huang9Maria Miura10Shokirova Hurramhon11Kunihiko Hirosawa12Mizu Ohno13Yuki Morooka14Hiroyuki Kobayashi15Takenori Inomata16Department of Hospital Administration Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Hospital Administration Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Hospital Administration Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Ophthalmology Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Hospital Administration Juntendo University Graduate School of Medicine Tokyo JapanDepartment of Hospital Administration Juntendo University Graduate School of Medicine Tokyo JapanAbstract Background Hay 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. Methods MCIDs 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. Results A 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. Conclusions MCID 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.https://doi.org/10.1002/clt2.12244hay feverminimal clinically important differencemobile healthpatient‐reported outcome measurespollen allergy |
| spellingShingle | Ken Nagino Jaemyoung Sung Akie Midorikawa‐Inomata Atsuko Eguchi Keiichi Fujimoto Yuichi Okumura Alan Yee Kenta Fujio Yasutsugu Akasaki Tianxiang Huang Maria Miura Shokirova Hurramhon Kunihiko Hirosawa Mizu Ohno Yuki Morooka Hiroyuki Kobayashi Takenori Inomata The minimal clinically important difference of app‐based electronic patient‐reported outcomes for hay fever Clinical and Translational Allergy hay fever minimal clinically important difference mobile health patient‐reported outcome measures pollen allergy |
| title | The minimal clinically important difference of app‐based electronic patient‐reported outcomes for hay fever |
| title_full | The minimal clinically important difference of app‐based electronic patient‐reported outcomes for hay fever |
| title_fullStr | The minimal clinically important difference of app‐based electronic patient‐reported outcomes for hay fever |
| title_full_unstemmed | The minimal clinically important difference of app‐based electronic patient‐reported outcomes for hay fever |
| title_short | The minimal clinically important difference of app‐based electronic patient‐reported outcomes for hay fever |
| title_sort | minimal clinically important difference of app based electronic patient reported outcomes for hay fever |
| topic | hay fever minimal clinically important difference mobile health patient‐reported outcome measures pollen allergy |
| url | https://doi.org/10.1002/clt2.12244 |
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