A139 EQUITY IN ACCESS TO COLORECTAL CANCER SCREENING IN NOVA SCOTIA
Bibliographic record
Abstract
Abstract Background Population-based colorectal cancer (CRC) screening programs aim to minimize inequities in participation through universal access, however, there remain disparities associated with low education, socio-economic status, and population centre. In the United States racialized groups have lower screening participation, and Black and Indigenous adults have higher CRC mortality. There is no Canadian data on racialized group participation in CRC screening because racial and ethnic data is not routinely collected. The Nova Scotia Colon Cancer Prevention Program (NSCCPP) mails fecal immunochemical tests (FIT) biennially to all residents aged 50–74 and allows for optional self-identified race and ethnicity. Aims To determine whether participation rates in the NSCCPP differ on the basis of race/ethnicity, age, sex, or population centre. In this preliminary analysis we report screening participation on the basis of race/ethnicity. Methods A retrospective cohort study was performed using the NSCCPP database to identify screen-eligible adults who returned a FIT to the program (i.e. participated) from 2011 to 2021. Racialized groups were identified based on self-identification form results allowing for multiple category selections. Race/Ethnicity was categorized as White, Black/African Canadian, Indigenous, Asian, Middle Eastern. The 2016 Canadian census was used to estimate the screen-eligible population (age 50–74) and race/ethnicity group population sizes. Unique participants were identified as individuals who returned one or more FITs in the study period. Unique participants were compared to the screen-eligible population to estimate participation over the 10-year study period. Results 508,533 FITs were returned over 10 years by 208,702 unique participants. The number of annual FITs returned ranged from 14,066 in 2011 to 65,746 in 2019. Participants were 56% female, 44% male, with a mean age 62.8 (± 7.0). FIT status was 89% negative, 7% positive, and 4% indeterminate. 96% (n=490,398) of participants provided self-identification data. Table 1 provides the screen-eligible population, unique participants, and FIT participation over the 10-year study period all characterized by race/ethnicity. Over 10 years, 59% of the eligible population participated in CRC screening by returning at least one FIT. Conclusions CRC screening participation by race/ethnicity in Canada is unknown. This analysis of the NSCCPP suggests that participation by racialized individuals including Black/African Canadian, Asian, and Indigenous, are lower relative to White individuals. Further analyses will explore race/ethnicity and gender in terms of temporal and geographic trends. Table 1. Funding Agencies None
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".