Clinical Utility of Smartphone Applications in Ophthalmology
Topic: Numerous smartphone applications have been devised for diagnosis, treatment, and symptom management in ophthalmology. Despite the importance of systematic evaluation of the purpose, target disease, effectiveness, and utility of smartphone applications to their effective utilization, few studi...
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Format: | Article |
Language: | English |
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Elsevier
2024-01-01
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Series: | Ophthalmology Science |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S266691452300074X |
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author | Ken Nagino, PhD Jaemyoung Sung, MD Akie Midorikawa-Inomata, MPH, PhD Atsuko Eguchi, PhD Keiichi Fujimoto, MD, PhD Yuichi Okumura, MD, PhD Maria Miura, MD, PhD Alan Yee, PhD Shokirova Hurramhon, MD, PhD Kenta Fujio, MD Yasutsugu Akasaki, MD Kunihiko Hirosawa, MD Tianxiang Huang, MD Mizu Ohno, MD Yuki Morooka, MD Xinrong Zou, MD Hiroyuki Kobayashi, MD, PhD Takenori Inomata, MD, PhD |
author_facet | Ken Nagino, PhD Jaemyoung Sung, MD Akie Midorikawa-Inomata, MPH, PhD Atsuko Eguchi, PhD Keiichi Fujimoto, MD, PhD Yuichi Okumura, MD, PhD Maria Miura, MD, PhD Alan Yee, PhD Shokirova Hurramhon, MD, PhD Kenta Fujio, MD Yasutsugu Akasaki, MD Kunihiko Hirosawa, MD Tianxiang Huang, MD Mizu Ohno, MD Yuki Morooka, MD Xinrong Zou, MD Hiroyuki Kobayashi, MD, PhD Takenori Inomata, MD, PhD |
author_sort | Ken Nagino, PhD |
collection | DOAJ |
description | Topic: Numerous smartphone applications have been devised for diagnosis, treatment, and symptom management in ophthalmology. Despite the importance of systematic evaluation of the purpose, target disease, effectiveness, and utility of smartphone applications to their effective utilization, few studies have formally evaluated their validity, reliability, and clinical utility. Clinical Relevance: This report identifies smartphone applications with potential for clinical implementation in ophthalmology and summarizes the evidence on their practical utility. Methods: We searched PubMed and EMBASE on July 28, 2022, for articles reporting original data on the effectiveness of treatment, disease detection, diagnostic accuracy, disease monitoring, and usability of smartphone applications in ophthalmology published between January 1, 1987, and July 25, 2022. Their quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. Results: The initial search yielded 510 articles. After removing 115 duplicates and 285 articles based on inclusion and exclusion criteria, the full texts of the remaining 110 articles were reviewed. Furthermore, 71 articles were included in the final qualitative synthesis. All studies were determined to be of high (87.3%) or moderate (12.7%) quality. In terms of respective application of interest, 24 (33.8%) studies assessed diagnostic accuracy, 17 (23.9%) assessed disease detection, and 3 (4.2%) assessed intervention efficacy. A total of 48 smartphone applications were identified, of which 27 (56.3%) were publicly available. Seventeen (35.4%) applications included functions for ophthalmic examinations, 13 (27.1%) included functions aimed at disease detection, 10 (20.8%) included functions to support medical personnel, five (10.4%) included functions related to disease education, and three (6.3%) included functions to promote treatment adherence for patients. The largest number of applications targeted amblyopia (18.8%), followed by retinal disease (10.4%). Two (4.2%) smartphone applications reported significant efficacy in treating diseases. Conclusion: In this systematic review, a comprehensive appraisal is presented on studies related to diagnostic accuracy, disease detectability, and efficacy of smartphone applications in ophthalmology. Forty-eight applications with potential clinical utility are identified. Appropriate smartphone applications are expected to enable early detection of undiagnosed diseases via telemedicine and prevent visual dysfunction via remote monitoring of chronic diseases. Financial Disclosure(s): Proprietary or commercial disclosure may be found after the references. |
first_indexed | 2024-03-11T18:07:06Z |
format | Article |
id | doaj.art-5d5c337846c24f958536cff2a8c5c9c8 |
institution | Directory Open Access Journal |
issn | 2666-9145 |
language | English |
last_indexed | 2024-03-11T18:07:06Z |
publishDate | 2024-01-01 |
publisher | Elsevier |
record_format | Article |
series | Ophthalmology Science |
spelling | doaj.art-5d5c337846c24f958536cff2a8c5c9c82023-10-17T04:07:24ZengElsevierOphthalmology Science2666-91452024-01-0141100342Clinical Utility of Smartphone Applications in OphthalmologyKen Nagino, PhD0Jaemyoung Sung, MD1Akie Midorikawa-Inomata, MPH, PhD2Atsuko Eguchi, PhD3Keiichi Fujimoto, MD, PhD4Yuichi Okumura, MD, PhD5Maria Miura, MD, PhD6Alan Yee, PhD7Shokirova Hurramhon, MD, PhD8Kenta Fujio, MD9Yasutsugu Akasaki, MD10Kunihiko Hirosawa, MD11Tianxiang Huang, MD12Mizu Ohno, MD13Yuki Morooka, MD14Xinrong Zou, MD15Hiroyuki Kobayashi, MD, PhD16Takenori Inomata, MD, PhD17Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, 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, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, 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, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Fengcheng Hospital, Shanghai, ChinaDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, JapanDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan; Correspondence: Takenori Inomata, MD, PhD, Department of Ophthalmology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.Topic: Numerous smartphone applications have been devised for diagnosis, treatment, and symptom management in ophthalmology. Despite the importance of systematic evaluation of the purpose, target disease, effectiveness, and utility of smartphone applications to their effective utilization, few studies have formally evaluated their validity, reliability, and clinical utility. Clinical Relevance: This report identifies smartphone applications with potential for clinical implementation in ophthalmology and summarizes the evidence on their practical utility. Methods: We searched PubMed and EMBASE on July 28, 2022, for articles reporting original data on the effectiveness of treatment, disease detection, diagnostic accuracy, disease monitoring, and usability of smartphone applications in ophthalmology published between January 1, 1987, and July 25, 2022. Their quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. Results: The initial search yielded 510 articles. After removing 115 duplicates and 285 articles based on inclusion and exclusion criteria, the full texts of the remaining 110 articles were reviewed. Furthermore, 71 articles were included in the final qualitative synthesis. All studies were determined to be of high (87.3%) or moderate (12.7%) quality. In terms of respective application of interest, 24 (33.8%) studies assessed diagnostic accuracy, 17 (23.9%) assessed disease detection, and 3 (4.2%) assessed intervention efficacy. A total of 48 smartphone applications were identified, of which 27 (56.3%) were publicly available. Seventeen (35.4%) applications included functions for ophthalmic examinations, 13 (27.1%) included functions aimed at disease detection, 10 (20.8%) included functions to support medical personnel, five (10.4%) included functions related to disease education, and three (6.3%) included functions to promote treatment adherence for patients. The largest number of applications targeted amblyopia (18.8%), followed by retinal disease (10.4%). Two (4.2%) smartphone applications reported significant efficacy in treating diseases. Conclusion: In this systematic review, a comprehensive appraisal is presented on studies related to diagnostic accuracy, disease detectability, and efficacy of smartphone applications in ophthalmology. Forty-eight applications with potential clinical utility are identified. Appropriate smartphone applications are expected to enable early detection of undiagnosed diseases via telemedicine and prevent visual dysfunction via remote monitoring of chronic diseases. Financial Disclosure(s): Proprietary or commercial disclosure may be found after the references.http://www.sciencedirect.com/science/article/pii/S266691452300074XSmartphone applicationsOphthalmologyPotential clinical utilityEarly detection of undiagnosed diseasesRemote monitoring |
spellingShingle | Ken Nagino, PhD Jaemyoung Sung, MD Akie Midorikawa-Inomata, MPH, PhD Atsuko Eguchi, PhD Keiichi Fujimoto, MD, PhD Yuichi Okumura, MD, PhD Maria Miura, MD, PhD Alan Yee, PhD Shokirova Hurramhon, MD, PhD Kenta Fujio, MD Yasutsugu Akasaki, MD Kunihiko Hirosawa, MD Tianxiang Huang, MD Mizu Ohno, MD Yuki Morooka, MD Xinrong Zou, MD Hiroyuki Kobayashi, MD, PhD Takenori Inomata, MD, PhD Clinical Utility of Smartphone Applications in Ophthalmology Ophthalmology Science Smartphone applications Ophthalmology Potential clinical utility Early detection of undiagnosed diseases Remote monitoring |
title | Clinical Utility of Smartphone Applications in Ophthalmology |
title_full | Clinical Utility of Smartphone Applications in Ophthalmology |
title_fullStr | Clinical Utility of Smartphone Applications in Ophthalmology |
title_full_unstemmed | Clinical Utility of Smartphone Applications in Ophthalmology |
title_short | Clinical Utility of Smartphone Applications in Ophthalmology |
title_sort | clinical utility of smartphone applications in ophthalmology |
topic | Smartphone applications Ophthalmology Potential clinical utility Early detection of undiagnosed diseases Remote monitoring |
url | http://www.sciencedirect.com/science/article/pii/S266691452300074X |
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