Academic Journal

Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study

التفاصيل البيبلوغرافية
العنوان: Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study
المؤلفون: Ken Nagino, Yuichi Okumura, Masahiro Yamaguchi, Jaemyoung Sung, Masashi Nagao, Kenta Fujio, Yasutsugu Akasaki, Tianxiang Huang, Kunihiko Hirosawa, Masao Iwagami, Akie Midorikawa-Inomata, Keiichi Fujimoto, Atsuko Eguchi, Yukinobu Okajima, Koji Kakisu, Yuto Tei, Takefumi Yamaguchi, Daisuke Tomida, Masaki Fukui, Yukari Yagi-Yaguchi, Yuichi Hori, Jun Shimazaki, Shuko Nojiri, Yuki Morooka, Alan Yee, Maria Miura, Mizu Ohno, Takenori Inomata
المصدر: JMIR Research Protocols, Vol 12, p e45218 (2023)
بيانات النشر: JMIR Publications, 2023.
سنة النشر: 2023
المجموعة: LCC:Medicine
LCC:Computer applications to medicine. Medical informatics
مصطلحات موضوعية: Medicine, Computer applications to medicine. Medical informatics, R858-859.7
الوصف: BackgroundDry eye disease (DED) is one of the most common ocular surface diseases. Numerous patients with DED remain undiagnosed and inadequately treated, experiencing various subjective symptoms and a decrease in quality of life and work productivity. A mobile health smartphone app, namely, the DEA01, has been developed as a noninvasive, noncontact, and remote screening device, in the context of an ongoing paradigm shift in the health care system, to facilitate a diagnosis of DED. ObjectiveThis study aimed to evaluate the capabilities of the DEA01 smartphone app to facilitate a DED diagnosis. MethodsIn this multicenter, open-label, prospective, and cross-sectional study, the test method will involve using the DEA01 smartphone app to collect and evaluate DED symptoms, based on the Japanese version of the Ocular Surface Disease Index (J-OSDI), and to measure the maximum blink interval (MBI). The standard method will then involve a paper-based J-OSDI evaluation of subjective symptoms of DED and tear film breakup time (TFBUT) measurement in an in-person encounter. We will allocate 220 patients to DED and non-DED groups, based on the standard method. The primary outcome will be the sensitivity and specificity of the DED diagnosis according to the test method. Secondary outcomes will be the validity and reliability of the test method. The concordance rate, positive and negative predictive values, and the likelihood ratio between the test and standard methods will be assessed. The area under the curve of the test method will be evaluated using a receiver operating characteristic curve. The internal consistency of the app-based J-OSDI and the correlation between the app-based J-OSDI and paper-based J-OSDI will be assessed. A DED diagnosis cutoff value for the app-based MBI will be determined using a receiver operating characteristic curve. The app-based MBI will be assessed to determine a correlation between a slit lamp–based MBI and TFBUT. Adverse events and DEA01 failure data will be collected. Operability and usability will be assessed using a 5-point Likert scale questionnaire. ResultsPatient enrollment will start in February 2023 and end in July 2023. The findings will be analyzed in August 2023, and the results will be reported from March 2024 onward. ConclusionsThis study may have implications in identifying a noninvasive, noncontact route to facilitate a diagnosis of DED. The DEA01 may enable a comprehensive diagnostic evaluation within a telemedicine setting and facilitate early intervention for undiagnosed patients with DED confronting health care access barriers. Trial RegistrationJapan Registry of Clinical Trials jRCTs032220524; https://jrct.niph.go.jp/latest-detail/jRCTs032220524 International Registered Report Identifier (IRRID)PRR1-10.2196/45218
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1929-0748
Relation: https://www.researchprotocols.org/2023/1/e45218; https://doaj.org/toc/1929-0748
DOI: 10.2196/45218
URL الوصول: https://doaj.org/article/b27924c66e484652b646b16b6d87587d
رقم الانضمام: edsdoj.b27924c66e484652b646b16b6d87587d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19290748
DOI:10.2196/45218