The Wequedong Lodge Cancer Screening Program: implementation of an opportunistic cancer screening pilot program for residents of rural and remote Indigenous communities in Northwestern Ontario, Canada
Bibliographic record
Abstract
INTRODUCTION: The rural and remote nature of many First Nations communities in Northwestern Ontario, Canada poses unique obstacles to physically accessing health care, in addition to other barriers. Indigenous peoples face similar challenges globally. First Nations communities experience significant health inequities, including cancer burden, which can be attributed to complex factors associated with colonization and Westernization. One potentially promising intervention to decrease the burden of advanced cancers is the provision of accessible, convenient and culturally sensitive cancer screening services, leading to early detection and treatment. The Wequedong Lodge Cancer Screening Program (WLCSP) was a pilot project aiming to provide cancer screening education and opportunistic cancer screening to residents from rural and remote First Nations communities while accessing health services in the urban center of Thunder Bay, Ontario, Canada. METHODS: Cancer screening education and opportunistic breast, cervical and colorectal cancer screening appointments were offered to individuals and their travel escorts already staying at Wequedong Lodge. Program uptake was determined primarily by education participation, and secondarily by client participation in screening. RESULTS: In total, the WLCSP booked 1033 appointments, with 841 being attended. Over the program's 3 years there was an increase in clients each year. Specifically, 22% (60/275) of age-eligible women completed a mammogram. Pap tests were provided to 8% (45/554) of age-eligible females. Finally, 32% (106/333) of all age-eligible service participants were given a fecal occult blood test kit. An evaluation survey (n=396) demonstrated overall client satisfaction with the program. CONCLUSION: The WLCSP aimed to provide education about, access to and uptake of cancer screening services for First Nations people from rural and remote communities in Northwestern Ontario by targeting inequalities in accessing cancer screening opportunities. Therefore, program uptake may provide helpful numerical comparisons for similar future programs globally. Other entities working to improve cancer screening rates in remote and/or rural populations and/or amongst Indigenous peoples may find consideration of the WLCSP processes, successes and challenges helpful to their efforts.
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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".