Feasibility of Visual Field Screening Apps

NCT05169983 | Completed

• 1 other identifier: RHM OPH0297
• Study Type: observational
• Target: 45
• Locations: 1 country
• Sites: 1

Brief Summary

A visual field (VF) is a measurement of how wide an area our eyes can see when fixed onto a point. Visual field testing is one of the ways of assessing how much vision there is in each eye and how much vision might have been lost over time. Defects in the visual field are seen in diseases such as glaucoma, which is one of the leading causes of blindness. VF tests should be performed regularly during outpatient appointments to help monitor these conditions before they progress. Monitoring individuals with VF defects presents a large strain on eye services at University Hospitals Southampton (UHS). Recently an Apple iPad-based application called 'VisualFields easy' has been developed that could be used at home to test visual fields, opening up the possibility of remote monitoring. This is especially significant since the onset of the COVID-19 pandemic which has left outpatient clinics across the UK with large patient backlogs. However, it's not understood yet to what level of accuracy this iPad test can be performed by untrained people and whether the results of this test are medically reliable. This study will measure if there's a correlation between iPad-based VF measurements and the standard clinic-based measurements taken by professionals. The potential of this app to be used at home will also be assessed with a usability questionnaire. These measurements will be taken during routine eye and neurology outpatient clinics at UHS. Home-based VF testing could allow those who weren't able to access eye services during the pandemic greater follow-up and monitoring. Through providing regular, up-to-date information on a patient's condition and progress, VF tests at home may improve outcomes. The investigators also foresee the benefits of this app on NHS clinical services, with the potential of reduced outpatient appointments and waiting times thus easing pressure on the NHS.

Conditions

Visual Field Defect, Peripheral

Outcome Measures

Primary Outcomes (1)

• Accuracy of the visualFields easy App

  To determine the statistical strength and / or presence or absence of correlation between the iPad-based visual field assessment procedure in comparison to clinic-based visual field assessment.

  Through study completion, an average of 1 year

Secondary Outcomes (1)

• Feasibility of home-based visual field assessment

  Through study completion, an average of 1 year

Interventions

iPad-Based Visual Field Test DIAGNOSTIC_TEST

In this study, the investigators aim to teach the participants to use the the visualFields easy App . The investigators will be using the app in the clinic with the patients watching, demonstrating its use and discussing and explaining its functions. Having observed how to use the application, the participant will then complete the visual field assessment.

Eligibility Criteria

• Age: 17 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

All participants will be recruited from the ophthalmology and neurology outpatient clinics in Southampton General Hospital. Typically, patients in these clinics are seen for a variety of ocular and neurological diagnoses and will be undergoing visual field testing as part of their routine care.

You may qualify if:

• Participant aged 17 or older
• Familiar with and able to use tablet technology

You may not qualify if:

• Patient not willing to participate in the study and give written informed consent
• Patients with learning difficulties that preclude reliable assessment of visual fields

Sponsors & Collaborators

• University Hospital Southampton NHS Foundation Trust: lead
• University of Southampton: collaborator

Study Sites (1)

Eye Unit, University Hospitals Southampton NHS Foundation Trust

Southampton, SO16 6YD, United Kingdom

Location

Study Officials

• Helena Lee, PhD

  Associate Professor & Honorary Consultant Ophthalmologist

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 20, 2021
• First Posted: December 27, 2021
• Study Start: September 10, 2021
• Primary Completion: August 19, 2022
• Study Completion: August 19, 2022
• Last Updated: October 27, 2022

Record last verified: 2022-10

Data Sharing

• IPD Sharing: Will not share

Locations

GB (1)