Assessment of online patient education material for eye cancers: A cross-sectional study
Bibliographic record
Abstract
The objective of this study was to assess online American patient education material (PEM) related to eye cancers in order to determine the quality of the content and appropriateness of the contents' reading level as it relates to the American population. PEMs were extracted from fifteen American cancer and ophthalmology associations and evaluated for their reading level using ten validated readability scales. PEMs then had all words extracted and evaluated for their difficulty and familiarity. The quality of the PEMS were assessed according to DISCERN, Heath On the Net Foundation Code of Conduct (HONCode), and JAMA benchmarks. Overall, online PEMs from the associations were written at a 11th grade reading level, which is above the recommended 6th grade reading level. The difficult word analysis identified that 26% of words were unfamiliar. Only one of the fifteen association held a HONCode certification while no organization met the standards of all four JAMA benchmarks. The average score for DISCERN was 2.4 out of a total of 5 for the fifteen questions related to treatment option information quality. Consideration should be made to create PEMs at an appropriate grade reading level to encourage health literacy and ultimately promote health outcomes. Associations should also focus on incorporating easily identifiable quality indicators to allow patients to better identify reputable resources.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".