Impact on immigrant screening adherence with introduction of a population‐based colon screening program in Ontario, Canada
Bibliographic record
Abstract
INTRODUCTION: The literature suggests that differential colorectal cancer (CRC) screening adherence exists between Canada's immigrant and nonimmigrant populations. This study explores the impact of Ontario's population screening program, ColonCancerCheck, on CRC screening uptake in immigrant and nonimmigrant population groups. METHODS: Data from 2005, 2007-2008, and 2011-2012 was obtained from the Canadian Community Health Survey, to represent the intervention periods (the time periods before, during, and after implementation of the ColonCancerCheck intervention). Multivariable logistic regression was used to examine the effect of immigration status on the risk of nonadherence to guideline-recommended CRC screening, and an interaction analysis was performed to determine whether the screening differential between immigrant and nonimmigrant populations changed upon introduction of the ColonCancerCheck program. RESULTS: Recent and long-term immigrants were both at increased risk of CRC screening nonadherence compared to the Canadian-born population (OR 3.73 (CI 2.25-6.18) and OR 1.24 (CI 1.13-1.36), respectively). While not statistically significant, there was an attenuation of the risk of nonadherence to screening for recent immigrants compared with Canadian-born individuals after the implementation of the ColonCancerCheck program. CONCLUSIONS: This study provides evidence of a screening differential between immigrants and nonimmigrants, and suggests that the implementation of the ColonCancerCheck screening program in Ontario may have increased colon screening uptake amongst recent immigrants. Further studies are needed to address the factors leading to inequities in immigrant CRC screening adherence.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".