Beyond the Bench and Bedside: Health Literacy Is Fundamental to Sustainable Health and Development
Bibliographic record
Abstract
Thirty years after the Ottawa Charter for Health Promotion, the 2030 Agenda for Sustainable Development - predicated on seventeen Sustainable Development Goals (SDGs) - were unveiled to the global community. Health literacy is an essential precondition and indicator of achieving the SDGs. Efforts to define and describe health literacy within public health and medicine have identified that the skills and abilities of many populations are inadequate to navigate the demands and complexity of health and healthcare. The authors suggest health literacy must move beyond the bench and bedside in clinical practice to achieve the aspirations and objectives of the SDGs. This report synthesizes major developments in health literacy and draws from related disciplines to propose opportunities and future directions to improve health literacy across the lifespan. It introduces the cases of early childhood vaccinations; alcohol intake in adolescence; and dementia care in older adults to demonstrate the need for health literacy across the life course. It also draws on digital health data and technology and multisectoral partnerships to define the future of health literacy. The authors believe these approaches can and will lead to unlikely collaborations that advance health and well-being throughout and beyond the 2030 Agenda for Sustainable Development.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".