Quantifying Barriers to Diabetic Eye Screening: A Two-Center Study at the University of California
Authors' conclusion
Many patients with T2DM remain unscreened after primary care visits. Although an automated referral system may partially improve adherence, additional tailored strategies are needed.
Study context
- Population
- Unscreened primary care patients with T2D needing diabetic eye screening, University of California, San Francisco and Irvineunscreened T2D
- Participants
- 8,240 patients
- Outcome
- Diabetic eye screening continuum
- Follow-up
- 1 year
Methodological detailstwo-center, health record analysis, GPT-4o analysis of physician notes
- Two-center
- Health record analysis
- GPT-4o analysis of physician notes
Main finding
As reported in the abstract
Received a referral
43%
Completed screening within 1 year
16%
Observational data: associations, not effects.
Further findings
Referral received
- Unscreened T2DM patients who received a referral
- 43%
Predictors of screening adherence
- Demographic, provider and socioeconomic factors predicted adherence; referral was the strongest predictor
Barriers cited in clinician notes (GPT-4o analysis)
- Comorbidities, scheduling challenges, logistical issues, coronavirus disease 2019 and personal circumstances cited as barriers
Projected screening rate with automated referral system
- Automated referral system could improve screening rates to
- 22-34%
Original publication
Quantifying Barriers to Diabetic Eye Screening: A Two-Center Study at the University of California. Diabetes Care. Published 9 September 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →