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A Web-based Digital Distance Visual Acuity Test

Conditions
Refractive Errors
Vision Disorders
Low Vision
Interventions
Diagnostic Test: DDVIT testing
Diagnostic 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
Inclusion Criteria
  • Patients of our outpatient ophthalmology clinic
  • Age between 18 to 75 years
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Exclusion Criteria
  • Dyslexia
  • Attention-deficiency
  • Former diagnosis of mental and/or psychiatric diseases
  • Inability to cooperate
Read More

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Study groupDDVIT testing70 patients with normal vision (NVG) 30 patients with low vision (LVG) These patients will be tested on the DDVIT
Study groupETDRS testing70 patients with normal vision (NVG) 30 patients with low vision (LVG) These patients will be tested on the DDVIT
Primary Outcome Measures
NameTimeMethod
Distance visual acuity using DDVIT vision test4 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 test4 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
NameTimeMethod

Trial Locations

Locations (2)

Department of Ophthalmology, University Hospital of Alexandroupolis

🇬🇷

Alexandroupolis, Evros, Greece

Department of Computer Science and Biomedical Informatics, University of Thessaly

🇬🇷

Lamía, Thessaly, Greece

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