Health Advocacy: Bringing Clarity to Educators through the Voices of Physician Health Advocates
Bibliographic record
Abstract
BACKGROUND: Although advocacy is a value that is acknowledged among care providers, the definition of advocacy and the competencies associated with it vary among those who teach it. METHOD: Grounded theory analysis was used on case studies of eight physicians identified as being responsive to community needs. RESULTS: Community-responsive physicians were found to engage in health advocacy by working with, or on behalf of, their patients/communities through being either (a) informants-providing information to those who can enact change, or (b) change agents-initiating, mobilizing, and organizing ways to systematically modify policies or procedures that negatively effect patients/communities. Issues of health advocacy as they relate to the determinants of health and health promotion are highlighted. CONCLUSIONS: This article provides an enhanced understanding of health advocacy and proposes an operational definition of health advocacy that may allow for an enhanced method of teaching health advocacy to learners.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".