Multicenter study of compliance and drop administration in glaucoma.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Poor compliance with medication is a major concern in the management of glaucoma. Improper administration technique can lead to contamination and inaccurate dosing. This study estimates the prevalence and predictors of noncompliance and improper administration technique among Canadian glaucoma patients. METHODS: Data were collected using a standardized questionnaire. Noncompliance was defined as missing at least 1 drop of medication per week and (or) the inability to accurately describe the medication regimen. Patients were asked to indicate the most common reason for missing medication. Study personnel assessed drop administration technique as patients were applying eye drops. Physicians provided information, including measures of disease stability, regarding the patient's glaucoma. Predictors were assessed using odds ratios from a logistic regression model. RESULTS: 500 patients from 10 centers across Canada participated in the study. Of these, 25.6% reported missing at least 1 drop of medication per week, and 4.2% were unable to accurately describe their medication regimen. The overall proportion of noncompliance was 27.9%. With regard to drop administration, 6.8% missed their eye and 28.8% contaminated the bottle tip; overall, 33.8% demonstrated improper technique. The most common reasons given for missing eye drops were "forgetfulness" and "being away from drops." Formal education limited to elementary school and treatment duration of <5 years increased patient-reported noncompliance. Factors associated with improper administration technique were age 60 years and older and formal education limited to elementary school. INTERPRETATION: Over 50% of the patients surveyed were either noncompliant or demonstrated improper administration technique. Glaucoma patients should be educated on the importance of compliance and instructed on proper drop administration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it