Afrocentric screening program for breast, colorectal, and cervical cancer among immigrant patients in Ontario
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PROBLEM ADDRESSED: Black and immigrant populations across Canada have lower screening rates than Canadian-born white populations, predisposing them to increased cancer morbidity and mortality. Effective interventions are required to increase cancer screening rates among these populations. OBJECTIVE OF PROGRAM: To improve breast, colorectal, and cervical cancer screening rates at TAIBU Community Health Centre, which has a mandate to provide primary health care services to the Black and immigrant community in the greater Toronto area. PROGRAM DESCRIPTION: An Afrocentric quality improvement program was developed and implemented, consisting of provider audits, cancer screening education programs, a patient call-back program, and a mammography promotion day. CONCLUSION: TAIBU Community Health Centre's continuous quality improvement approach was successful in engaging health care providers and patients to increase cancer screening participation sustainably in a racially and socioeconomically diverse setting. Rates of breast, colorectal, and cervical cancer screening offered to eligible patients increased from 17% to 72%, 18% to 67%, and 59% to 70%, respectively, between 2011 and 2018.
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.
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 it