Evidence map›Paper›PMID 39591609›Full record

Observational studyJMIR formative research2024

Minimal Clinically Important Differences With the Outcomes of the App-Based Japanese Allergic Conjunctival Diseases Quality of Life Questionnaire: Cross-Sectional Observational Study.

Ken Nagino, Jaemyoung Sung, Akie Midorikawa-Inomata, Yasutsugu Akasaki, Takeya Adachi, Nobuyuki Ebihara, Ken Fukuda, Atsuki Fukushima, Kenta Fujio, Yuichi Okumura and 10 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Ken NaginoDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-0317-6074
Jaemyoung SungDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-9441-3687
Akie Midorikawa-InomataDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-6054-5710
Yasutsugu AkasakiDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0001-9527-0115
Takeya AdachiDepartment of Dermatology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-5289-5980
Nobuyuki EbiharaDepartment of Ophthalmology, Juntendo University, Urayasu Hospital, Chiba, Japan.ORCID 0000-0002-6772-6549
Ken FukudaENGAGE-Task Force, Tokyo, Japan.ORCID 0000-0003-4990-6308
Atsuki FukushimaENGAGE-Task Force, Tokyo, Japan.ORCID 0000-0002-6350-2599
Kenta FujioDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-8472-0800
Yuichi OkumuraDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-5521-5469
Atsuko EguchiDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-5540-055X
Keiichi FujimotoDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0003-0420-0782
Hurramhon ShokirovaDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0009-0007-7876-0842
Alan YeeDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-5613-9613
Yuki MorookaDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-6970-4343
Tianxiang HuangDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0001-8867-1367
Kunihiko HirosawaDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0001-6775-3697
Shintaro NakaoDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0003-4200-0052
Hiroyuki KobayashiDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0001-7441-5610
Takenori InomataDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0003-3435-1055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessing changes in quality of life in patients with hay fever-related allergic conjunctivitis requires validated and clinically meaningful metrics. A minimal clinically important difference (MCID) that can be applied to assess Domain II of the Japanese Allergic Conjunctival Disease Quality of Life Questionnaire (JACQLQ) in a smartphone app setting has yet to be determined.

objectiveThis cross-sectional observational study aimed to determine MCIDs for the app-based JACQLQ in assessing hay fever-related allergic conjunctivitis.

methodsThis study used data from a crowdsourced, cross-sectional, observational study conducted via the smartphone app "AllerSearch" between February 1, 2018, and May 1, 2020. Participants were recruited through digital media and social networking platforms and voluntarily provided electronic informed consent. Participants completed the JACQLQ, which includes items on daily activity and psychological well-being, as well as a visual analog scale to measure stress levels related to hay fever. Data were collected through the app, ensuring comprehensive user input. MCIDs were determined using both anchor- and distribution-based methods. The face scale of the JACQLQ Domain III and stress level scale for hay fever were used as anchors to estimate the MCID; ranges were derived from these MCID estimates. In the distribution-based method, MCIDs were calculated using half the SD and SE of the JACQLQ Domain II scores. SEs were derived from the intraclass correlation coefficient of an app-based JACQLQ test-retest reliability metric.

resultsA total of 17,597 individuals were identified, of which 15,749 individuals provided electronic consent. After excluding those with incomplete data, 7590 participants with hay fever were included in the study (mean age 35.3, SD 13.9 years; n=4331, 57.1% of women). MCID ranges calculated using the anchor-based method were 1.0-6.9, 1.2-5.6, and 2.1-12.6 for daily activity, psychological well-being, and total JACQLQ Domain II scores, respectively. Using the distribution-based method, the intraclass correlation coefficients were odds ratio (OR) 0.813 (95% CI 0.769-0.849) for daily activity, OR 0.791 (95% CI 0.743-0.832) for psychological well-being, and OR 0.841 (95% CI 0.791-0.864) for total JACQLQ Domain II scores. In addition, the distribution-based method resulted in 2 MCIDs based on half the SD and SE of measurement for daily activity (4.8 and 4.2), psychological well-being (3.4 and 3.1), and total JACQLQ Domain II (7.8 and 6.4) scores. The final suggested MCID ranges for daily activity, psychological well-being, and total JACQLQ Domain II scores were 4.2-6.0, 3.1-4.7, and 6.4-10.5, respectively.

conclusionsMCID ranges for the JACQLQ estimation could help to standardize the app-based quality of life assessment for patients with hay fever-related allergic conjunctivitis. These MCIDs enhanced the precision of remote symptom monitoring and facilitated timely, data-driven interventions, ultimately improving the overall management and outcomes of allergic conjunctivitis through mobile health platforms.

Indexed as

Conjunctivitis, AllergicMobile ApplicationsQuality of LifeAdultCross-Sectional StudiesEast Asian PeopleFemaleHumansJapanMaleMiddle AgedRhinitis, Allergic, SeasonalSurveys and QuestionnairesYoung Adultallergic conjunctivitishay feverJapanese Allergic Conjunctival Disease Quality of Life Questionnaireminimal clinically important differencemobile phonepollinosistelemedicine

Identifiers

PMID39591609
PMCPMC11632287

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Registered trials

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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.