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eHealth tools for the self-testing of visual acuity: a scoping review
Uncorrected refractive error is a major cause of vision impairment, and is indexed by visual acuity. Availability of vision assessment is limited in low/middle-income countries and in minority groups in high income countries. eHealth tools offer a solution; two-thirds of the globe own mobile devices...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706420/ https://www.ncbi.nlm.nih.gov/pubmed/31453377 http://dx.doi.org/10.1038/s41746-019-0154-5 |
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author | Yeung, Wai Kent Dawes, Piers Pye, Annie Charalambous, Anna-Pavlina Neil, Malcolm Aslam, Tariq Dickinson, Christine Leroi, Iracema |
author_facet | Yeung, Wai Kent Dawes, Piers Pye, Annie Charalambous, Anna-Pavlina Neil, Malcolm Aslam, Tariq Dickinson, Christine Leroi, Iracema |
author_sort | Yeung, Wai Kent |
collection | PubMed |
description | Uncorrected refractive error is a major cause of vision impairment, and is indexed by visual acuity. Availability of vision assessment is limited in low/middle-income countries and in minority groups in high income countries. eHealth tools offer a solution; two-thirds of the globe own mobile devices. This is a scoping review of the number and quality of tools for self-testing visual acuity. Software applications intended for professional clinical use were excluded. Keyword searches were conducted on Google online, Google Play and iOS store. The first 100 hits in each search were screened against inclusion criteria. After screening, 42 tools were reviewed. Tools assessed near and distance vision. About half (n = 20) used bespoke optotypes. The majority (n = 25) presented optotypes one by one. Four included a calibration procedure. Only one tool was validated against gold standard measures. Many self-test tools have been published, but lack validation. There is a need for regulation of tools for the self-testing of visual acuity to reduce potential risk or confusion to users. |
format | Online Article Text |
id | pubmed-6706420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67064202019-08-26 eHealth tools for the self-testing of visual acuity: a scoping review Yeung, Wai Kent Dawes, Piers Pye, Annie Charalambous, Anna-Pavlina Neil, Malcolm Aslam, Tariq Dickinson, Christine Leroi, Iracema NPJ Digit Med Review Article Uncorrected refractive error is a major cause of vision impairment, and is indexed by visual acuity. Availability of vision assessment is limited in low/middle-income countries and in minority groups in high income countries. eHealth tools offer a solution; two-thirds of the globe own mobile devices. This is a scoping review of the number and quality of tools for self-testing visual acuity. Software applications intended for professional clinical use were excluded. Keyword searches were conducted on Google online, Google Play and iOS store. The first 100 hits in each search were screened against inclusion criteria. After screening, 42 tools were reviewed. Tools assessed near and distance vision. About half (n = 20) used bespoke optotypes. The majority (n = 25) presented optotypes one by one. Four included a calibration procedure. Only one tool was validated against gold standard measures. Many self-test tools have been published, but lack validation. There is a need for regulation of tools for the self-testing of visual acuity to reduce potential risk or confusion to users. Nature Publishing Group UK 2019-08-22 /pmc/articles/PMC6706420/ /pubmed/31453377 http://dx.doi.org/10.1038/s41746-019-0154-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Article Yeung, Wai Kent Dawes, Piers Pye, Annie Charalambous, Anna-Pavlina Neil, Malcolm Aslam, Tariq Dickinson, Christine Leroi, Iracema eHealth tools for the self-testing of visual acuity: a scoping review |
title | eHealth tools for the self-testing of visual acuity: a scoping review |
title_full | eHealth tools for the self-testing of visual acuity: a scoping review |
title_fullStr | eHealth tools for the self-testing of visual acuity: a scoping review |
title_full_unstemmed | eHealth tools for the self-testing of visual acuity: a scoping review |
title_short | eHealth tools for the self-testing of visual acuity: a scoping review |
title_sort | ehealth tools for the self-testing of visual acuity: a scoping review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706420/ https://www.ncbi.nlm.nih.gov/pubmed/31453377 http://dx.doi.org/10.1038/s41746-019-0154-5 |
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