A Web-based Digital Distance Visual Acuity Test
- Conditions
- Refractive ErrorsVision DisordersLow Vision
- Interventions
- Diagnostic Test: DDVIT testingDiagnostic Test: ETDRS testing
- Registration Number
- NCT04756596
- Lead Sponsor
- Democritus University of Thrace
- Brief Summary
Primary objective of this study is the development and validation of a web-based application for the examination of the distance visual acuity of normal- and low-vision patients.
- Detailed Description
Present study aims to develop and validate a web-based digital distance visual acuity test (Democritus Distance Vision Test - DDVIT). DDVIT is an application, which will be easily accessed through a simple internet connection. This application will provide the possibility of a simple but reliable examination of patients, establishing a commonly accepted way of measuring the distance visual acuity among rural doctors, general practitioners and ophthalmologists.
Specifically, present study aims to develop a new online distance visual acuity test (DDVIT) according to the standards of the Early Treatment Diabetic Retinopathy Study (ETDRS) test and to evaluate the level of agreement between the two visual acuity tests, as well as the test-retest reliability of the online DDVIT visual acuity test.
The first part of the study is the development of the online visual acuity test (letters, numbers, symbols) including the following smart features:
1. Adjustment of the font size according to the size of the computer screen used for the examination
2. Real time calculation of the patient-screen distance through a face detection system
3. Automatic calculation of the reading time of each line (each logMAR)
4. Entering the number of patient's reading errors for each line
5. Automatic calculation of the visual acuity in the following score units:
* Number of Letters (max 85)
* Visual Acuity Score (max 100)
* logMAR
* Decimal
* Snellen Fraction
The calculation of various reading parameters resulting from the aforementioned features (visual acuity score in different units, reading duration (in sec) and number of errors for each slide (line), patient-screen distance for each slide) will be performed after the end of the examination. Except for the html format, a file in the format of Microsoft Excel and Pdf are also generated.
The second part of this study is the clinical validation of the DDVIT visual acuity test. In this part, the reading acuity measured with the DDVIT and ETDRS test are compared.
All the comparisons will take place in two groups: a) a Normal Vision Group (NVG), and b) a Low Vision Group (LVG) in order to estimate the visual acuity in a population with a wide range of vision.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 300
- Patients of our outpatient ophthalmology clinic
- Age between 18 to 75 years
- Dyslexia
- Attention-deficiency
- Former diagnosis of mental and/or psychiatric diseases
- Inability to cooperate
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Study group DDVIT testing 70 patients with normal vision (NVG) 30 patients with low vision (LVG) These patients will be tested on the DDVIT Study group ETDRS testing 70 patients with normal vision (NVG) 30 patients with low vision (LVG) These patients will be tested on the DDVIT
- Primary Outcome Measures
Name Time Method Distance visual acuity using DDVIT vision test 4 months The distance visual acuity of the one randomly selected eye of each participant will be evaluated by the examiner using DDVIT vision test.
Distance visual acuity using ETDRS vision test 4 months The distance visual acuity of the same eye of each participant will be evaluated by the same examiner using the web-based ETDRS vision test under the same predetermined environmental lighting conditions.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (2)
Department of Ophthalmology, University Hospital of Alexandroupolis
🇬🇷Alexandroupolis, Evros, Greece
Department of Computer Science and Biomedical Informatics, University of Thessaly
🇬🇷LamÃa, Thessaly, Greece