A theory-based self-report measure of health literacy: The Calgary Charter on Health Literacy scale
Bibliographic record
Abstract
We set out to test a theory-based measure of health literacy. To do so, we included the newly developed Calgary Charter on Health Literacy scale in Pre- and Post-evaluation of the Life Enhancement Program at multiple sites. The program focusing on health literacy and the prevention of chronic disease is conducted with health-care provider organization partners across the United States. In testing the reliability and validity of the new measure of health literacy, Cronbach’s alpha is very acceptable level at 0.80. There are numerous statistically significant correlations between the change in health literacy and participants’ changes in knowledge, attitudes, beliefs, behaviors, and health status. Data and analysis indicate that the Calgary Charter on Health Literacy Scale is a valid and reliable measurement tool in the contexts and with the populations they were tested within. More testing is necessary and warranted in a wider variety of contexts and populations—ideally to include large representative random samples and comparison groups. We recommend that policymakers increase focus on advancing health literacy as an evidence-based approach to reach the goals of improved individual and public health at a lower cost.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".