- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05433766
Patient-centred Smartphone AI for Protecting Vision in Macular Disease
Exploring the Feasibility of the OKKO Health App to Monitor and Predict the Decline in Vision Caused by Age-related Macular Degeneration
Study Overview
Status
Conditions
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 Currently unpublished data collected using the OKKO Health app highlights its acceptability when collecting visual acuity compared to gold standard techniques used in clinical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 Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
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Nottingham, United Kingdom, NG7 2UH
- Nottingham University Hospitals NHS Trust
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Oxford, United Kingdom, OX3 9DU
- Oxford University Hospitals NHS Trust
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change in visual status
Time Frame: 12 months continuous use
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Generate an algorithm to detect a change in visual status (in particular a deterioration) in advance of in-person hospital appointment.
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12 months continuous use
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Impact of the OKKO Health app on Health literacy
Time Frame: 3-6 months of app use
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The HLS-EU-Q16, a validated questionnaire, will be used to assess Health Literacy at baseline and following 3-6 months of app use.
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3-6 months of app use
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Patient engagement with OKKO Health app
Time Frame: 12 months continuous use
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Patient engagement will be determined through an analyses of engagement collected within the OKKO Health.
Volunteers will be asked to use the OKKO Health app three times per week.
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12 months continuous use
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To explore the correlation of varying demographic and lifestyle factors on AMD disease progression
Time Frame: 12 months continuous use
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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.
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12 months continuous use
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Alexander Foss, D.M, Nottingham University Hospitals NHS Trust
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- OKHR-06
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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