Implementing AI-based Glaucoma Screening Within Federally Qualified Health Centers
NCT ID: NCT06629649
Last Updated: 2025-12-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
1800 participants
INTERVENTIONAL
2025-10-22
2029-09-29
Brief Summary
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* How does this eye screening program compare to the rate of glaucoma and other eye conditions detected at other FQHC clinics where the screening program has not been implemented?
* Do particpants who screen positive for these conditions adhere to the physician's recommendation for a follow-up examination by an optometrist or ophthalmologist?
* Are referral rates for a follow-up comprehensive eye exam by an optometrist or ophthalmologist similar to those implemented by an ophthalmologist using telemedicine (that is, using the results of the screening to make a diagnosis remotely)?
* What is the cost-effectiveness of the AI-assisted screening program in diagnosing glaucoma as compared to a physician-guided program?
* Are participants completing the screening satisfied with it?
* Are physicians at the FQHC clinics administering the screening satisfied with it?
Participants will:
* Undergo an ocular screening whose goal is to detect glaucoma, diabetic retinopathy, cataract, and/or impairment in visual acuity. If the screening indicates that participants may have these conditions, participants will be referred for a comprehensive eye examination by an optometrist or ophthalmologist.
* Following the screening, participants and physicians will complete a survey on their satisfaction with the program.
Detailed Description
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The screening methods used in this protocol are a modified version of our prior imaging-based ophthalmologist guided telemedicine screening protocol utilized in the previous CDC- funded Alabama Screening and Intervention for Glaucoma and eye Health through Telemedicine (AL-SIGHT) study. In AL-SIGHT we used a telemedicine program to screen for glaucoma in 3 FQHCs located in a low-income, under-resourced region of the state with a high proportion of Black residents. Just as we did in AL-SIGHT, investigators in the current protocol will target screening only for those FQHC patients at-risk for glaucoma. The eligibility definition for screening in the current project is listed under Eligibility.
After screening, patients with a screening diagnosis of GAD, diabetic retinopathy, cataract, or visual acuity impairment will be referred for an in-person follow-up exam by an ophthalmologist or optometrist located in the FQHC clinic's region. In the investigators' previous project, participants had excellent adherence to the follow-up appointment with the optometrist or ophthalmology at a rate of 76.7% of patients attending follow-up. Thus, Investigators are hopeful that in the current project they will also have this high level of adherence.
There are two major differences between our previous project (AL-SIGHT) and the current project AI-RONA. In AL-SIGHT, we used research staff members to do the screening at the FQHCs. In AI-RONA investigators will now use implementation science to do the screening. This means that investigators will train the FQHC clinic staff to do the screening after a detailed training and certification program. A second way AI-RONA differs from AL-SIGHT is that investigators will use an AI-assisted, remote screening algorithm to generate the screening results for glaucoma. Investigators will also focus on both the effectiveness of the program (disease detection, rate of referrals) and primary care providers (PCPs) and patients' attitudes about AI-RONA. The latter will be achieved by administering a questionnaire to PCPs and to participants about their satisfaction with the screening program.
The AI approaches to be deployed for AI-RONA have been previously developed and extensively tested by the AI-researchers at the University of California, San Diego, who are also investigators in AI-RONA. It was found that glaucoma testing using AI based on retinal images taken of patients' eyes lead to clinician-level accuracy. These AI methodologies have been tested on diverse populations and publicly available datasets to facilitate their accuracy.
The eye screen protocol that investigators are using includes the following. All assessments are performed on each eye separately: (1) retinal imaging including fundus photography and optical coherence tomography (OCT), (2) visual acuity measurement, (3) refractive error measurement.
Conditions
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Keywords
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Study Design
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RANDOMIZED
CROSSOVER
SCREENING
NONE
Study Groups
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The Federally Qualified Health Centers (FQHCs)
Eight FQHCs will participate in this project. Four FQHCs will implement a glaucoma screening protocol and a protocol for detecting diabetic retinopathy, cataract, and visual acuity impairment, while the other four will be standard of care without the above screening protocol.
Glaucoma screening using an AI-algorithm and screening for diabetic retinopathy, cataract, and visual acuity impairment.
Participants who have the glaucoma screening will undergo an Artificial Intelligence Remote Optic Nerve Assessment (AI-RONA). The AI information may or may not be used by the FQHC provider to refer their patient for follow-up eye exam. It is information that the provider may find useful in making a referral.
Primary Standard of Care
Primary care provider asks participants if they are having symptoms or problems with their eyes or vision.
No interventions assigned to this group
Interventions
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Glaucoma screening using an AI-algorithm and screening for diabetic retinopathy, cataract, and visual acuity impairment.
Participants who have the glaucoma screening will undergo an Artificial Intelligence Remote Optic Nerve Assessment (AI-RONA). The AI information may or may not be used by the FQHC provider to refer their patient for follow-up eye exam. It is information that the provider may find useful in making a referral.
Eligibility Criteria
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Inclusion Criteria
* Non-Hispanic white persons ≥ 50 years old
* Anyone ≥ 18 years old with diabetes type 1 or type 2
* Anyone ≥ 18 years old who already has a glaucoma associated disease
* Anyone ≥ 18 years old with a family history of glaucoma
Exclusion Criteria
* Cannot communicate in English
18 Years
ALL
No
Sponsors
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Centers for Disease Control and Prevention
FED
University of California, San Diego
OTHER
University of Alabama at Birmingham
OTHER
Responsible Party
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Cynthia Owsley
Principal Investigator
Principal Investigators
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Cynthia Owsley, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Alabama at Birmingham
Locations
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Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham
Birmingham, Alabama, United States
Countries
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Central Contacts
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Facility Contacts
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Dawn Matthies, PhD
Role: primary
Mitzi Swift, BS
Role: backup
Other Identifiers
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IRB-300013425
Identifier Type: -
Identifier Source: org_study_id