An Academic Educational Program for Providing Eye Care to Older Individuals
Bibliographic record
Abstract
The literature indicates that the prevalence of oculovisual problems increases with age and that it is higher in older individuals residing in long-term care facilities (LTCF) compared to those living in the community. It further indicates that eye care services in LTCF are sub-optimal. The objective of this article is to describe the university-based educational program we have developed and implemented to train optometry students in the eye care of older individuals, including those among the most vulnerable, i.e. those residing in LTCF. Our two university-based institutions, the Institut universitaire de gériatrie de Montréal and the école d’Optométrie de l’Université de Montréal, collaborated to implement this program. The program has three main components: formal didactic courses, clinical rotations and in situ clinical research. It allows the students to learn how to adapt their clinical interventions to a variety of older patients, taking into account their specific needs, potential complex health conditions, behavior, socio-economic and socio-cultural context, as well as their capacity to understand and collaborate to the oculovisual exam. The program further follows recommendations by leaders in public health, geriatrics and optometry in offering a discipline-specific program in geriatrics.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".