Hidden barriers between knowledge and behavior
Bibliographic record
Abstract
BACKGROUND: Prostate cancer (PC) mortality is much greater for African American than for Caucasian men. To identify patient factors that might account for some of this disparity, men within 6 months of diagnosis were surveyed about health attitudes and behavior. METHODS: Using Rapid Identification in the North Carolina Cancer Registry, 207 African American and 348 Caucasian recently diagnosed PC patients were identified and surveyed. RESULTS: African American men were younger and less often currently married, and had lesser education, job status, and income than Caucasian men (all P < .001). African American men were at no greater distance to medical care, but had less access: poorer medical insurance coverage, more use of public clinics and emergency wards, less continuity with a primary physician, and more often omitted physician visits they felt they needed. They also expressed less trust in physicians. African American men acknowledged their greater risk of PC, accepted greater responsibility for their health, and reported more personal failures that delayed diagnosis. African American men more often requested the tests that diagnosed their cancers, which resulted more often from routinely ordered screening tests for Caucasian men. African American men expressed less interest in nontraditional treatments. CONCLUSIONS: Despite lesser education, African American men in North Carolina are aware of their increased risk of cancer, the importance of treatment, and their responsibility for their health. Obstacles to timely diagnosis and appropriate care, including greater physician distrust, appear more likely to arise from reduced access and continuity of medical care arising from their worse socioeconomic position.
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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 | 0.000 |
| 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".