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Record W2263826116 · doi:10.4103/0974-620x.176094

Eye drop administration in patients attending and not attending a glaucoma education center

2016· article· en· W2263826116 on OpenAlexaff
Aisha Al-Busaidi, Debbie Anne Samek, Oscar Kasner

Bibliographic record

VenueOman Journal of Ophthalmology · 2016
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsJewish General HospitalRoyal Victoria HospitalMcGill University Health Centre
Fundersnot available
KeywordsMedicineEye dropGlaucomaLogistic regressionGlaucoma medicationExact testOphthalmologyDrop outOptometryPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: To assess the technique of glaucoma eye drop instillation in patients who have and have not attended glaucoma education sessions. To compare this with their subjective perception of eye drop use and identify factors associated with improved performance. PATIENTS AND METHODS: An observational study of 55 participants who instill their topical glaucoma medication for more than 1 year. Twenty-five patients attended (A) glaucoma teaching sessions >1 year before the study and were compared to thirty patients who never attended (NA). Patients completed a self-reporting questionnaire. They instilled their eye drop, and the technique was video-recorded digitally and later graded by two masked investigators. The results were analyzed using Fisher's exact test and Chi-square test. Predictors were assessed using logistic regression models. RESULTS: There was no significant difference in overall performance scores between the two groups. Good technique was observed in 16% of (A) group versus 23% (NA) group, (P = 0.498). There was a mismatch between patient's subjective and actual performance. Female gender and higher educational level were found to be predictors of good performance of drop instillation on univariable logistic regression analysis. CONCLUSION: Glaucoma patients are challenged with eye drop instillation despite receiving education on drop administration. There is a discrepancy between patient's perceptions and observed technique of 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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.299
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2016
Admission routes1
Has abstractyes

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