Validation of a More Reliable Method of Eye Drop Self‐Administration
Bibliographic record
Abstract
SIGNIFICANCE: We propose an alternative method for eye drop self-administration. Similar IOP reductions were found with this method compared with clinician instillation. The alternative method of self-administration potentially benefits patients who have trouble successfully instilling drops. PURPOSE: The purpose of this study was to validate the efficacy of an alternative method of drop instillation. METHODS: This study is a randomized controlled crossover clinical trial. Thirty participants were recruited. A drop of 0.5% timolol maleate was instilled into subject's eye on two separate visits. On one visit, eye drop instillation was by a trained clinician, and on the other, self-instillation using an alternative method was used. The order was randomly chosen. Intraocular pressure was measured before drop instillation and 2 hours after drop instillation. The investigator was masked during measurement, and an observer recorded the IOP measurements. RESULTS: Mean ± SD IOP measurement before 0.5% timolol maleate instillation measured 13.89 ± 2.29 mmHg. An average reduction 3.75 ± 2.36 mmHg was found with clinician administration, and an average reduction of 3.32 ± 2.31 mmHg was recorded with the new method. No significance was found in IOP reduction between two groups P < .45. Percent reduction was 25.17 ± 16.21% and 24.38 ± 16.31% in clinician instillation and alternative instillation method group, respectively. No significant difference was found. This percentage reduction was similar to previously reported studies. No reported cases of eye infection or irritation were found in any case, within a 3-month follow-up period. CONCLUSIONS: We have proposed a more reliable method for instillation that provides a larger area for instillation and lessen the risk of contamination and patient's fear for eye drops. Similar efficacy was found compared with that of having a clinician directly administer the drop. This alternative method could potentially benefit patients who require topical eye drop therapy and result in increased compliance.
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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 | 0.031 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".