Projected Cost Comparison of Trabectome, iStent, and Endoscopic Cyclophotocoagulation Versus Glaucoma Medication in the Ontario Health Insurance Plan
Bibliographic record
Abstract
PURPOSE: To compare the direct cost of treating glaucoma patients with Trabectome, iStent, and endoscopic cyclophotocoagulation (ECP) versus topical medications in Ontario, Canada. Costs are projected over a 6-year period, and presented on a per-patient level from the perspective of the Ontario Health Insurance Plan (OHIP). METHODS: The per-bottle cost of each medication was obtained from the 2011 Ontario Drug Benefit (ODB) formulary. A wastage adjustment fee was added to the cost, as was a pharmacy markup, and an ODB dispensing fee. Previously published medication prescription rates were used to determine the frequency with which each medication is prescribed. We estimated the overall cost by taking a weighted average of the cost of each class of glaucoma medications.The cost of each glaucoma device was determined by contacting local distributors. We then added the cost of disposables used during surgery (viscoelastic and keratome) to the cost of each procedure. Start-up costs for each device and surgeons' fees were excluded from the overall cost. RESULTS: At 6 years, treatment with the Trabectome offered a cumulative cost savings of $279.23, $1572.55, and $2424.71 per patient versus monodrug, bidrug, and tridrug therapy, respectively. A cumulative cost difference of -$20.77, $1272.55, and $2124.71 per patient were found when comparing iStent versus monodrug, bidrug, and tridrug therapy, respectively. Treatment with ECP yielded a cost savings of $779.23, $2072.55, and $2924.71 per patient versus monodrug, bidrug, and tridrug therapy, respectively. CONCLUSIONS: Over a projected period of 6 years, the Trabectome, iStent, and ECP may all offer a modest cost savings to OHIP versus the cost of glaucoma medication. Further analysis of direct and indirect costs to patients as well as quality of life assessments will help further delineate the role of these treatments in the glaucoma treatment paradigm.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".