2021
DOI: 10.3390/vision5040058
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Validation of Digital Applications for Evaluation of Visual Parameters: A Narrative Review

Abstract: The current review aimed to collect and critically analyze the scientific peer-reviewed literature that is available about the use of digital applications for evaluation of visual parameters in electronic devices (tablets and smartphones), confirming if there are studies calibrating and validating each of these applications. Three bibliographic search engines (using the search equation described in the paper) and the Mendeley reference manager search engine were used to complete the analysis. Only articles wri… Show more

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Cited by 4 publications
(3 citation statements)
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References 33 publications
(74 reference statements)
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“…The main priority for any new screening tool is accuracy and validity. Despite the abundance of eye testing apps available in the virtual market, the scarcity of validated apps, mainly for visual acuity screening, added another challenge [ 6 ]. For this study, the Vis-Screen app had the highest sensitivity of 88% for PVR at the 6/12 cut-off point.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The main priority for any new screening tool is accuracy and validity. Despite the abundance of eye testing apps available in the virtual market, the scarcity of validated apps, mainly for visual acuity screening, added another challenge [ 6 ]. For this study, the Vis-Screen app had the highest sensitivity of 88% for PVR at the 6/12 cut-off point.…”
Section: Discussionmentioning
confidence: 99%
“…These include the most popular Tumbling E, followed by Early Treatment Diabetic Retinopathy Study (ETDRS), and Snellen charts [ 5 ]. Even though these existing apps could provide another option for vision screening, most of them need to be appropriately validated, thus raising the biggest concern toward their safety and accuracy [ 3 , 6 ]. Regardless of the platform, a validated app is essential to ensure that the number of false positives and negatives are minimal so that both misleading results and the burden of unnecessary referrals to health providers can be reduced [ 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…Various factors such as the variability of the smartphone screen sizes, screen resolution, optotype background luminance, and glares may affect the accurate generation of the necessary visual stimuli (optotype) and hence the accuracy of the measurements made across different devices. [ 13 ] To avoid this, app developers may use autocalibration by the software itself or manual calibration using a set of given instructions. This process of calibration may however make the user interface of the application to appear complex and unfriendly.…”
Section: Introductionmentioning
confidence: 99%