Cost Analysis of Dropless Cataract Surgery Prophylaxis with Intracameral Antibiotics and Subconjunctival Steroids.

PURPOSE: To determine whether dropless, injection-based cataract surgery prophylaxis with intracameral antibiotic and subconjunctival steroid may reduce healthcare system costs and patient out-of-pocket costs compared to topical medication regimens. SETTING: United States national medical expenditures database. DESIGN: Retrospective cost analysis. METHODS: Costs were analyzed for topical ophthalmics from the 2020 Medical Expenditure Panel Survey (MEPS) and for dropless medications from pharmaceutical invoices/catalogs. Main outcomes included system costs, from insurance and patient payments, and out-of-pocket costs for cataract surgery topical and dropless, injection-based prophylactic medication regimens, per eye and nationally. System costs for individual topical medications and same-class dropless, injection-based medications were compared using two-sided, one-sample t-tests. RESULTS: There were 583 prophylactic topical ophthalmic purchases in MEPS. Mean system costs per eye were $76.20 ± SD 39.07 for the lowest cost topical steroid (prednisolone) compared to $4.01 for the lowest cost subconjunctival steroid (triamcinolone acetonide) (p < 0.001). Per eye, the lowest cost dropless, injection-based regimen, at $15.91, results in an $87.99 (84.7%) reduction in overall healthcare costs and a $43.64 (100%) reduction in patient out-of-pocket costs relative to the lowest cost topical regimen ($103.90 ± 43.14 mean system cost and $43.64 ± 37.32 mean out-of-pocket cost per eye). Use of intracameral moxifloxacin and subconjunctival triamcinolone acetonide can reduce annual national healthcare system and out-of-pocket costs up to $450,000,000 and $225,000,000, respectively. CONCLUSIONS: An evidence-based cataract surgery prophylactic medication regimen of intracameral moxifloxacin and subconjunctival triamcinolone acetonide can reduce healthcare system and patient out-of-pocket costs in comparison to various topical regimens.

Machine Learning in the Detection of the Glaucomatous Disc and Visual Field.

Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is of utmost importance as there is abundant evidence that early treatment prevents disease progression, preserves vision, and improves patients' long-term quality of life. The structure and function thresholds that alert to the diagnosis of glaucoma can be obtained entirely via digital means, and as such, screening is well suited to benefit from artificial intelligence and specifically machine learning. This paper reviews the concepts and current literature on the use of machine learning for detection of the glaucomatous disc and visual field.