Survey of Bandage Lens Use in North America, October???December 2002
Bibliographic record
Abstract
PURPOSE: The purpose of this work was to report the findings of a survey of current modes of bandage lens (BL) use by optometrists and ophthalmologists in Canada and the United States in 2002. METHODS: Two thousand voluntary surveys were sent to ophthalmic practitioners across the United States and Canada. The survey contained a questionnaire with 15 questions about the practitioner's background and BL-prescribing trends and views. It also contained a 10-patient list with parameters such as patient profile, BL type, and pharmaceutical use. RESULTS: Seventy-two percent of those opthalmic practitioners who returned surveys have prescribed soft contact lenses for therapeutic purposes. BLs are most often used for corneal wound healing and for managing postoperative complications. Pharmaceuticals are concomitantly administered in more than 81% of the patients treated with BLs. The most commonly prescribed pharmaceuticals are antibiotics (47.5% of patients) and antiinflammatory drugs (42% of patients). ACUVUE and Focus Night & Day lenses are the most popular choices for BLs. Most respondents (93%), regardless of whether they routinely prescribed BLs, would be interested in a BL that could deliver a topical pharmaceutical drug. CONCLUSIONS: The results from the survey indicated that BL use is prevalent across North America. The BL-prescribing habits of North American practitioners indicate that there is a strong interest and need for a drug-delivering therapeutic soft contact lens.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".