ArticleJAMA ophthalmology2020
Application of the Sight Outcomes Research Collaborative Ophthalmology Data Repository for Triaging Patients With Glaucoma and Clinic Appointments During Pandemics Such as COVID-19.
Article in JAMA ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 43 citations in OpenAlex.
- Data Volume and the Need for Clinical Decision Support in Glaucoma Care.Ophthalmology science · 2026Article
- "I want to see everything": A community-based participatory research framework to identify eye health and vision care knowledge, perceptions, values, and barriers.Journal of clinical and translational science · 2026Article
- Risk Factors and Consequences of Lapses in Proliferative Diabetic Retinopathy Care in a National Cohort.Diabetes care · 2025Article
- Quality of Care in Patients With Newly Diagnosed Glaucoma.JAMA ophthalmology · 2025Article
- Ensemble learning to enhance accurate identification of patients with glaucoma using electronic health records.JAMIA open · 2025Article
- Nationwide Prevalence and Geographic Variation of Idiopathic Intracranial Hypertension among Women in the United States.Ophthalmology · 2025Article
- Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records.American journal of ophthalmology · 2024Article
- Mapping vision loss of patients in a glaucoma backlog following the COVID-19 pandemic: a real-world analysis using the Glauc-Strat-Fast risk stratification tool.Eye (London, England) · 2024Article
- Clinical risk stratification in glaucoma.Eye (London, England) · 2023Review
- Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery.The British journal of ophthalmology · 2023Article
- MAEPI and CIR: New Metrics for Robust Evaluation of the Prediction Performance of AI-Based IOL Formulas.Translational vision science & technology · 2023Article
- Emerging glaucoma treatments: are we seeing an improvement in adherence?Expert review of ophthalmology · 2023Article
- Audit of outcomes following attendance at the City West drive-through IOP glaucoma clinic during the COVID-19 pandemic.Irish journal of medical science · 2022Article
- Data Sources for Evaluating Health Disparities in Ophthalmology: Where We Are and Where We Need to Go.Ophthalmology · 2022Article
- United States Cornea Graft Registry: Vision for the Future.Ophthalmology science · 2022Article
- COVID-19 and retinal degenerative diseases: Promising link "Kaempferol".Current opinion in pharmacology · 2022Review
- The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19.Social science & medicine (1982) · 2022Review
- Impact of COVID-19-Related Lockdown on Glaucoma PatientsTurkish journal of ophthalmology · 2022Article
- Challenges in managing glaucoma-related morbidity due to lockdown in a developing country.Journal of family medicine and primary care · 2022Article
- Evaluation of machine learning algorithms for trabeculectomy outcome prediction in patients with glaucoma.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
16 authors at 1 institution in 1 country.
Funding
Abstract
Importance: During the coronavirus disease 2019 (COVID-19) pandemic, eye care professionals caring for patients with sight-threatening diseases, such as glaucoma, have had to determine whether some patient appointments could safely get postponed, weighing the risk that the patient's glaucoma could worsen during the interim vs the morbidity risk of acquiring COVID-19 while seeking ophthalmic care. They also need to prioritize appointment rescheduling during the ramp-up phase (when pandemic-associated service reductions are eased). Objective: To describe a flexible and scalable scoring algorithm for patients with glaucoma that considers glaucoma severity and progression risk vs the presence of high-risk features for morbidity from COVID-19, using information from a large data repository. Design, Setting, and Participants: In this cross-sectional study, patients with upcoming clinic appointments for glaucoma from March 16, 2020, to April 16, 2020, at an academic institution enrolled in the Sight Outcomes Research Collaborative (SOURCE) Ophthalmology Electronic Health Record Data Repository were identified. A risk stratification tool was developed that calculated a glaucoma severity and progression risk score and a COVID-19 morbidity risk score. These scores were summed to determine a total score for each patient. Main Outcomes and Measures: Total scores and percentages of clinic appointments recommended for rescheduling. Results: Among the 1034 patients with upcoming clinic appointments for glaucoma, the mean (SD) age was 66.7 (14.6) years. There were 575 women (55.6%), 733 White individuals (71%), and 160 Black individuals (15.5%). The mean (SD) glaucoma severity and progression risk score was 4.0 (14.4) points, the mean (SD) COVID-19 morbidity risk score was 27.2 (16.1) points, and the mean (SD) total score was 31.2 (21.4) points. During pandemic-associated reductions in services, using total score thresholds of 0, 25, and 50 points would identify 970 appointments (93.8%), 668 appointments (64.6%), and 275 appointments (26.6%), respectively, for postponement and rescheduling. The algorithm-generated total scores also helped prioritize appointment rescheduling during the ramp-up phase. Conclusions and Relevance: A tool that considers the risk of underlying ophthalmic disease progression from delayed care receipt and the morbidity risk from COVID-19 exposure was developed and implemented, facilitating the triage of upcoming ophthalmic appointments. Comparable approaches for other ophthalmic and nonophthalmic care during the COVID-19 pandemic and similar crises may be created using this methodology.
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