Patient-centred Smartphone AI for Protecting Vision in Macular Disease

Sponsor
OKKO Health (Industry)
Overall Status
Not yet recruiting
CT.gov ID
NCT05433766
Collaborator
INNOVATEUK (Other), Nottingham University Hospitals NHS Trust (Other), Oxford University Hospitals NHS Trust (Other), The Macular Society (Other)
500
18

Study Details

Study Description

Brief Summary

Macular disease is the leading cause of blindness in the UK and age-related macular degeneration must undergo monitoring to determine if an injection into the eye is required that month [required in 50% of visits] - these patients are the 'frequent fliers' within ophthalmology units, visiting specialist hospital clinics on a monthly or bi-monthly basis. This project aims to create a home-monitoring algorithm that could in the future, enable the movement of 'monitoring' of chronic eye disease into the patients' homes: remotely identifying who does need an in-person appointment, and who can safely stay away from hospital.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    The OKKO Health application is a CE-marked medical software application that aims to monitor visual function, track symptoms and treatment, and improve patient knowledge about their condition.

    To monitor visual function, OKKO implements quick and engaging activities to assess visual function, contrast sensitivity, and hyperacuity. The aim of this is to develop the app to see if it is possible to detect changes in visual function in a timely manner. This would enable regular monitoring for disease progression and/or the response of visual function to treatments between clinical visits. Home monitoring may reveal information that may support the early diagnosis of worsening conditions and may enable a greater understanding of disease progression or stabilisation. Currently unpublished data collected using the OKKO Health app highlights its acceptability when collecting visual acuity compared to gold standard techniques used in clinical practice.

    OKKO includes self-monitoring features which may result in an increased (disease) awareness including vision changes between clinic visits. OKKO offers symptom and treatment tracking functionality as well as education modules to increase literacy about the disease and treatment. These elements may improve the patient's self-efficacy, enable patient empowerment, and may increase the involvement of patients in their care and more thorough communication with ophthalmologists including shared decision-making processes. Thus, these psychological and behavioural changes may alleviate the patient's burden.

    Study Design

    Study Type:
    Observational
    Anticipated Enrollment :
    500 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Exploring the Feasibility of the OKKO Health App to Monitor and Predict the Decline in Vision Caused by Age-related Macular Degeneration
    Anticipated Study Start Date :
    Jul 1, 2022
    Anticipated Primary Completion Date :
    Jan 1, 2024
    Anticipated Study Completion Date :
    Jan 1, 2024

    Outcome Measures

    Primary Outcome Measures

    1. Change in visual status [12 months continuous use]

      Generate an algorithm to detect a change in visual status (in particular a deterioration) in advance of in-person hospital appointment.

    Secondary Outcome Measures

    1. Impact of the OKKO Health app on Health literacy [3-6 months of app use]

      The HLS-EU-Q16, a validated questionnaire, will be used to assess Health Literacy at baseline and following 3-6 months of app use.

    2. Establish the real-world adoptability and cost benefit of OKKO Health use. [12 months continuous use]

      Patient and clinician engagement with the OKKO Health app will be used to determine its clinical effectiveness and real world adoptability.

    3. To explore the correlation of varying demographic and lifestyle factors on AMD disease progression [12 months continuous use]

      This will include identifying the correlation between the trend in the OKKO Health app data versus lifestyle data (this will include physical activity (steps taken, distance walked) and sleep recorded through the participants device). Correlations between health data (BMI and blood pressure) and OKKO Health trend data will also be calculated.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    N/A and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • Patients newly diagnosed with wet (neovascular) AMD in at least on eye at the start of their anti-VGEF treatment.

    • Participants with wet AMD in at least one eye undergoing anti-VGEF therapy.

    • Access to a device running a compatible software

    • Apple device running iOS 12 or later,

    • Android devices running Android 7.0 or later,

    • Ability to read and understand English.

    • Willing and able to provide informed consent.

    Exclusion Criteria:
    • Vision worse than 6/60 or 1.0 LogMAR in both eyes.

    • Significant cognitive impairment.

    • Patients who do not have the manual dexterity to tap a screen.

    Contacts and Locations

    Locations

    No locations specified.

    Sponsors and Collaborators

    • OKKO Health
    • INNOVATEUK
    • Nottingham University Hospitals NHS Trust
    • Oxford University Hospitals NHS Trust
    • The Macular Society

    Investigators

    • Principal Investigator: Alexander Foss, D.M, Nottingham University Hospitals NHS Trust

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    OKKO Health
    ClinicalTrials.gov Identifier:
    NCT05433766
    Other Study ID Numbers:
    • OKHR-01
    First Posted:
    Jun 27, 2022
    Last Update Posted:
    Jun 27, 2022
    Last Verified:
    Jun 1, 2022
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Jun 27, 2022