ArticleOphthalmology science2023
Health Disparities in Lapses in Diabetic Retinopathy Care.
Article in Ophthalmology science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Diabetic retinopathy treatment cascade and care continuum in the USA: a systematic review.BMJ open · 2026Pooled it
- Measuring the Impact of Data Quality and Computable Phenotypes on Potential Racial Disparities in Predicting Healthcare Utilization Among Type 2 Diabetes Populations.Journal of racial and ethnic health disparities · 2026Article
- Who Gets Panretinal Photocoagulation? National Patterns in Proliferative Diabetic Retinopathy Treatment.Ophthalmology science · 2026Article
- Pilot Community Health Worker-Based Intervention to Address Social Determinants of Health Among Patients with Diabetes in Ophthalmology.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Identifying Patients at High Risk of Lapses in Diabetic Retinopathy Care: A Machine Learning Study.Ophthalmology science · 2026Article
- The Association of Lapses in Diabetic Retinopathy Care with Vision Impairment.Ophthalmology science · 2026Article
- The Association of Vertically Integrated Delivery Networks on Lapses in Diabetic Retinopathy Care and Presenting Diabetic Retinopathy Severity.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Comparing the Use of Administrative Claims with the Electronic Health Record Data for Identifying Diabetic Retinopathy Examinations.Ophthalmic epidemiology · 2025Article
- Association Between Sociodemographic Risk Factors and No-Show Propensity in a Glaucoma Population Before and During COVID-19 Pandemic.Journal of glaucoma · 2025Article
- Association of Neighborhood Socioeconomic Disadvantage with Proliferative Diabetic Retinopathy.Ophthalmology. Retina · 2025Article
- Unequal Referral Patterns to Ophthalmology Subspecialists Based on Race and Ethnicity in Diabetes Mellitus: A Retrospective Analysis.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
- Patients' Perspectives on Social Barriers to Care and the Acceptability and Impact of a Community Health Worker Program in Outpatient Ophthalmology.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
- The Role of Urban Residence, Race and Ethnicity, and Glycemic Control in Receiving Standards of Care and Progression to Vision-Threatening Diabetic Retinopathy.Diabetes care · 2025Article
- Racial and Ethnic Disparities in Receipt of Retinal Imaging Among Patients With Diabetes.JAMA ophthalmology · 2024Article
- Social Risk Groups in Patients With Diabetes With Differing Eye Care Utilization and Vision Outcomes.Translational vision science & technology · 2024Article
- Baseline Characteristics and Clinical Outcomes of Patients Seen Through the Free Diabetes Screening (FDS) Program.Clinical ophthalmology (Auckland, N.Z.) · 2024Article
- Improving the Identification of Diabetic Retinopathy and Related Conditions in the Electronic Health Record Using Natural Language Processing Methods.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Objective: To develop a novel methodology to identify lapses in diabetic retinopathy care in electronic health records (EHRs) and evaluate health disparities by race and ethnicity. Design: Retrospective cohort study. Subjects: Adult patients with diabetes mellitus who were evaluated at the Wilmer Eye Institute from January 1, 2013 to April 2, 2022. Methods: The methodology to identify lapses in care first identified diabetic retinopathy screening or treatment visits and then compared the providers' recommended follow-up timeframe with the patient's actual time to next encounter. The association of race and ethnicity with odds of lapses in care was evaluated using a mixed-effects logistic regression model controlling for age, sex, insurance, severity of diabetic retinopathy, presence of other retinal disorders, and glaucoma. Main Outcome Measures: Lapses in diabetic retinopathy care. Results: The methodology to identify diabetic retinopathy-related visits had a 95.0% (95% confidence interval, 93.0-96.6) sensitivity and 98.8% (98.1-99.3) specificity as compared with a gold standard grader. The methodology resulted in a 97.3% (96.2-98.4) sensitivity and 98.1% (97.3-98.9) specificity for detecting a follow-up recommendation, with an average error of -0.05 (-0.31 to 0.21) weeks in extracting the precise timeframe. A total of 39 561 patients with 91 104 office visits were included in the analysis. The average age was 61.4 years. More than 3 (77.6%) in 4 patients had a lapse in care. In multivariable analysis, non-Hispanic Black patients had 1.24 (1.19-1.30) odds and Hispanic patients had 1.26 (1.13-1.40) odds of ever having a lapse in care compared with non-Hispanic White patients ( Conclusions: We have developed a reliable methodology for identifying lapses in diabetic retinopathy care that is tailored to a provider's recommended follow-up. Using this approach, we find that 3 in 4 patients experience a lapse in diabetic retinopathy care and that these rates are higher among non-Hispanic Black and Hispanic patients. Deploying this methodology in the EHR is one potential means by which to identify and mitigate lapses in critical ophthalmic care in patients with diabetes. Financial Disclosures: Proprietary or commercial disclosure may be found after the references.
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Registered trials
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