DryEyeRhythm: A reliable and valid smartphone application for the diagnosis assistance of dry eye

Okumura, Yuichi; Inomata, Takenori; Midorikawa‐Inomata, Akie; Sung, Jaemyoung; Fujio, Kenta; Akasaki, Yasutsugu; Nakamura, Masahiro; Iwagami, Masao; Fujimoto, Keiichi; Eguchi, Atsuko; Miura, Maria; Nagino, Ken; Hirosawa, Kunihiko; Huang, Tianxiang; Kuwahara, Mizu; Dana, Reza; Murakami, Akira

doi:10.1016/j.jtos.2022.04.005

Cited by 24 publications

(34 citation statements)

References 37 publications

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“…Recent findings also raised concerns regarding a high percentage of missed diagnoses of chronic DE in the working-age population [43]. By reaching such critical and wide populations in a timely manner, medicine driven by smartphone-based mHealth applications appears to hold potential in identifying symptoms and individual risk factors and in recommending appropriate management and hospital visits [40,41,[43][44][45][46][47][48][49].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Comorbidity between Dry Eye and Allergic Conjunctivitis: A Systematic Review and Meta-Analysis

Akasaki

Inomata²,

Sung³

et al. 2022

JCM

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This systematic review aimed to determine the comorbid dry eye (DE) and allergic conjunctivitis (AC) prevalence. We searched PubMed and EMBASE for articles published until 22 March 2022, combining the terms “(dry eye OR keratoconjunctivitis sicca) AND allergic conjunctivitis.” Study-specific estimates (DE and AC incidence rates among patients with AC and DE, respectively) were combined using the one-group meta-analysis in a random-effects model. The initial search yielded 700 studies. Five articles reporting AC incidence among individuals with DE and six articles reporting DE incidence among individuals with AC were included in the qualitative synthesis. In these nine articles, the total sample size was 7254 patients. The DE incidence among individuals with AC was 0.9–97.5%; the AC incidence among individuals with DE was 6.2–38.0%. One-group meta-analysis using a random-effects model showed that 47.2% (95% confidence interval: 0.165–0.779; 320/1932 cases) of patients with AC had comorbid DE and 17.8% (95% confidence interval: 0.120–0.236; 793/4855 cases) of patients with DE had comorbid AC, as defined by each article. Complimentary screening and treatment for patients with DE and AC may improve long-term outcomes and prevent chronic ocular damage in highly susceptible populations.

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Section: Discussionmentioning

confidence: 99%

Prevalence of Comorbidity between Dry Eye and Allergic Conjunctivitis: A Systematic Review and Meta-Analysis

Akasaki

Inomata²,

Sung³

et al. 2022

JCM

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“…This study employed a prospective observational design based on previously published validation studies of medical instruments [ 15 , 16 ].…”

Section: Methodsmentioning

confidence: 99%

“…The internal consistency of the app-based JACQLQ was assessed using Cronbach alpha coefficient, with an alpha score of >.70 considered acceptable [ 20 ]. Concurrent validity was assessed by calculating the correlations (Pearson coefficient) and mean differences (Bland-Altman analysis) [ 15 , 21 ].…”

Section: Methodsmentioning

confidence: 99%

Reliability and Validity of Electronic Patient-Reported Outcomes Using the Smartphone App AllerSearch for Hay Fever: Prospective Observational Study

Akasaki¹,

Inomata²,

Sung³

et al. 2022

JMIR Form Res

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Background Hay fever is a highly prevalent, heterogenous, and multifactorial disease. Patients may benefit from longitudinal assessments using mobile health (mHealth) principles. We have previously attempted to establish an effective mHealth platform for patients with hay fever through AllerSearch, our in-house smartphone app that assesses electronic patient-reported outcomes through a questionnaire on hay fever and provides evidence-based advice. To be used by the public, an investigation on its reliability and validity is necessary. Objective The aim of this paper is to assess the reliability and validity of subjective symptom data on hay fever collected through our app, AllerSearch. Methods This study used a prospective observational design. The participants were patients aged ≥20 years recruited from a single university hospital between June 2, 2021, and January 26, 2022. We excluded patients who could not use smartphones as well as those with incomplete data records and outlier data. All participants answered the Japanese Allergic Conjunctival Disease Standard Quality of Life Questionnaire (JACQLQ), first in the paper-and-pencil format and subsequently on AllerSearch on the same day. The JACQLQ comprises the following three domains: Domain I, with 9 items on ocular or nasal symptoms; Domain II, with 17 items on daily activity and psychological well-being; and Domain III, with 3 items on overall condition by face score. The concordance rate of each domain between the 2 platforms was calculated. The internal consistency of Domains I and II of the 2 platforms was assessed using Cronbach alpha coefficients, the concurrent validity of Domains I and II was assessed by calculating Pearson correlation coefficients, and the mean differences between the 2 platforms were assessed using Bland-Altman analysis. Results In total, 22 participants were recruited; the data of 20 (91%) participants were analyzed. The average age was 65.4 (SD 12.8) years, and 80% (16/20) of the participants were women. The concordance rate of Domains I, II, and III between the paper-based and app-based JACQLQ was 0.78, 0.85, and 0.90, respectively. The internal consistency of Domains I and II between the 2 platforms was satisfactory (Cronbach alpha of .964 and .919, respectively). Pearson correlation analysis yielded a significant positive correlation between Domains I and II across the 2 platforms (r=0.920 and r=0.968, respectively). The mean difference in Domains I and II between the 2 platforms was 3.35 units (95% limits of agreement: –6.51 to 13.2). Conclusions Our findings indicate that AllerSearch is a valid and reliable tool for the collection of electronic patient-reported outcomes to assess hay fever, contributing to the advantages of the mHealth platform.

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“…In this new paradigm, medical big data and its analysis could bring a more accurate community and global health profile, which will lay foundations for a better and tailored predictive models, diagnostic standards, and intervention choices [ 4 ]. Furthermore, the digitization of medicine could shift the traditional facility-based, ex-post facto care infrastructure to one that operates within one’s daily life with an emphasis on patient-centered predictive and longitudinal medicine [ 2 , 5 ].…”

mentioning

confidence: 99%

“…Through proposed changes in Society 5.0 and adoption of mobile health (mHealth) principles, providers and researchers may be able to deduce certain ocular inflammatory dynamics at an individual level with correlating digital phenotypes [ 39 ] (i.e., ePROs, sensor data, on-screen time, blink pattern recognition) [ 5 ]. Various mHealth-driven approach to gain personalized data have gone underway with significant findings, particularly in chronic disease and mood disorder management [ 36 , 40 , 41 ].…”

mentioning

confidence: 99%

Changing Medical Paradigm on Inflammatory Eye Disease: Technology and Its Implications for P4 Medicine

Inomata

Sung

2022

JCM

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DryEyeRhythm: A reliable and valid smartphone application for the diagnosis assistance of dry eye

Cited by 24 publications

References 37 publications

Prevalence of Comorbidity between Dry Eye and Allergic Conjunctivitis: A Systematic Review and Meta-Analysis

Prevalence of Comorbidity between Dry Eye and Allergic Conjunctivitis: A Systematic Review and Meta-Analysis

Reliability and Validity of Electronic Patient-Reported Outcomes Using the Smartphone App AllerSearch for Hay Fever: Prospective Observational Study

Changing Medical Paradigm on Inflammatory Eye Disease: Technology and Its Implications for P4 Medicine

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