2022_Validation of a Newly Developed Vis-Screen Mobile Application for Community Vision Screening
| Format: | General Document |
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| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 |
| copyright | Copyright©PWB2025 |
| country | Malaysia |
| date | 2022-10-11 00:00 |
| format | General Document |
| id | 15550 |
| institution | UniSZA |
| internalnotes | Sila masukkan subject wajib Dissertations, Academic. Terima kasih... |
| originalfilename | 15550_f6432a5569f9753.pdf |
| person | Siti Nor Aishah Binti Abdul Rahman |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15550 |
| sourcemedia | Server storage Scanned document |
| spelling | 15550 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15550 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu Faculty of Medicine English application/pdf 1.5 257 Server storage Scanned document Universiti Sultan Zainal Abidin UniSZA Private Access Universiti Sultan Zainal Abidin SAMBox 2.3.4; modified using iTextSharp™ 5.5.10 ©2000-2016 iText Group NV (AGPL-version) 15550_f6432a5569f9753.pdf 2022_Validation of a Newly Developed Vis-Screen Mobile Application for Community Vision Screening Copyright©PWB2025 Siti Nor Aishah Binti Abdul Rahman 2022-10-11 00:00 Vision screening—Methods Vision screening Telemedicine Majority of the eye diseases and visual impairments are preventable by early detection and treatment. This issue may be addressed by exploiting mobile applications and related technology to promote regular vision screening and eye care. However, most of the currently available mobile applications for vision tests are not validated. Thus, this study aimed to validate the test accuracy of our newly developed Vis-Screen app by determining its sensitivity, specificity, predictive values, likelihood ratios, correctly classified percentage (CCP), receiver operating characteristic (ROC) analysis, reliability, and test of association. A cross-sectional study was executed from November 2019 until September 2020, and the participants were selected via purposive sampling from selected communities in Terengganu. The inclusion criteria were individuals aged 4 years old and above, physically fit, and able to communicate with reliable mental status. The Snellen chart, handled by a single user, was used as the gold standard. Meanwhile, the vision obtained by the app involved multiple users, and the results were auto-generated according to the World Health Organisation (WHO) classification of visual impairment and blindness. All data obtained were analyzed by using Stata Statistical software version 16.0. A total of 408 participants were involved, with a mean age of 29.3 years old. The youngest participant was 4 years old, while the oldest was 91 years old. The sensitivity of the presenting vision of the right eye ranged from 55.56% to 88.37%, while its specificity ranged from 94.72% to 99.25%. The positive predictive values were between 57.89% to 81.72%, while the negative predictive values ranged from 96.79% to 99.0%. The positive likelihood ratios ranged from 16.73 to 73.89, whereas the negative likelihood ratios were 0.12 to 0.45. The area under the ROC curve (AUC) for all categories of visual levels was between 0.93 and 0.97, and its CCP ranged from 93.38% to 98.28%, with the optimum cut-off point at 6/12. Reliability determination revealed kappa values for the intra-user and inter-user were 0.85 and 0.72, respectively, and the reliability attained for the Vis-Screen app test results against the Snellen chart was 0.61. Both test results showed good agreement as the McNemar’s and marginal homogeneity analysis for all visual categories had p values of more than 0.05. Based on the findings obtained from this study, the Vis-Screen app is proven to provide valid and reliable vision test results. Hence this app is suitable to be used as a screening tool in detecting individuals with visual impairment and blindness presence in the community. Dissertations, Academic Sila masukkan subject wajib Dissertations, Academic. Terima kasih... Ophthalmology Innovations Thesis |
| spellingShingle | 2022_Validation of a Newly Developed Vis-Screen Mobile Application for Community Vision Screening |
| state | Terengganu |
| subject | Vision screening—Methods Dissertations, Academic |
| summary | Majority of the eye diseases and visual impairments are preventable by early detection and treatment. This issue may be addressed by exploiting mobile applications and related technology to promote regular vision screening and eye care. However, most of the currently available mobile applications for vision tests are not validated. Thus, this study aimed to validate the test accuracy of our newly developed Vis-Screen app by determining its sensitivity, specificity, predictive values, likelihood ratios, correctly classified percentage (CCP), receiver operating characteristic (ROC) analysis, reliability, and test of association. A cross-sectional study was executed from November 2019 until September 2020, and the participants were selected via purposive sampling from selected communities in Terengganu. The inclusion criteria were individuals aged 4 years old and above, physically fit, and able to communicate with reliable mental status. The Snellen chart, handled by a single user, was used as the gold standard. Meanwhile, the vision obtained by the app involved multiple users, and the results were auto-generated according to the World Health Organisation (WHO) classification of visual impairment and blindness. All data obtained were analyzed by using Stata Statistical software version 16.0. A total of 408 participants were involved, with a mean age of 29.3 years old. The youngest participant was 4 years old, while the oldest was 91 years old. The sensitivity of the presenting vision of the right eye ranged from 55.56% to 88.37%, while its specificity ranged from 94.72% to 99.25%. The positive predictive values were between 57.89% to 81.72%, while the negative predictive values ranged from 96.79% to 99.0%. The positive likelihood ratios ranged from 16.73 to 73.89, whereas the negative likelihood ratios were 0.12 to 0.45. The area under the ROC curve (AUC) for all categories of visual levels was between 0.93 and 0.97, and its CCP ranged from 93.38% to 98.28%, with the optimum cut-off point at 6/12. Reliability determination revealed kappa values for the intra-user and inter-user were 0.85 and 0.72, respectively, and the reliability attained for the Vis-Screen app test results against the Snellen chart was 0.61. Both test results showed good agreement as the McNemar’s and marginal homogeneity analysis for all visual categories had p values of more than 0.05. Based on the findings obtained from this study, the Vis-Screen app is proven to provide valid and reliable vision test results. Hence this app is suitable to be used as a screening tool in detecting individuals with visual impairment and blindness presence in the community. |
| title | 2022_Validation of a Newly Developed Vis-Screen Mobile Application for Community Vision Screening |
| title_full | 2022_Validation of a Newly Developed Vis-Screen Mobile Application for Community Vision Screening |
| title_fullStr | 2022_Validation of a Newly Developed Vis-Screen Mobile Application for Community Vision Screening |
| title_full_unstemmed | 2022_Validation of a Newly Developed Vis-Screen Mobile Application for Community Vision Screening |
| title_short | 2022_Validation of a Newly Developed Vis-Screen Mobile Application for Community Vision Screening |
| title_sort | 2022_validation of a newly developed vis-screen mobile application for community vision screening |