Population-Based Longitudinal Study of Follow-Up Care for Patients With Colorectal Cancer in Nova Scotia
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to examine colorectal cancer (CRC) follow-up care in Nova Scotia, Canada. More specifically, the objectives were to describe adherence to two elements of follow-up guidelines (colonoscopies and physician visits) and to identify factors associated with receiving at least guideline-recommended care. METHODS: All patients with stage II or III CRC undergoing curative-intent surgery in Nova Scotia, Canada, were identified through the provincial cancer registry and anonymously linked to additional administrative health databases. For a 3-year follow-up period, beginning 1 year after the diagnosis date, descriptive statistics were calculated for physician visits and colonoscopies. Factors associated with receiving at least guideline-recommended care were identified using logistic regression. RESULTS: Most patients received follow-up care from multiple physician specialties. In year 3, 58.1% of patients received oncologist follow-up care. Guideline adherence for colonoscopies was 52.4%, whereas guideline adherence for physician visits decreased from 41.9% to 25.4%. Receipt of at least guideline-recommended care was inversely associated with age and comorbidity for colonoscopy and inversely associated with age for physician visits. CONCLUSION: Receipt of follow-up care from oncologists and primary care physicians, prolonged oncologist care, and receipt of care inconsistent with guideline recommendations suggest there may be potential issues with inefficient use of cancer system resources and integration of guidelines into follow-up care practices in Nova Scotia. Transitioning routine follow-up to primary care could potentially increase guideline adherence by improving access to and continuity of care. CRC may be well suited to targeted knowledge translation strategies to improve guideline 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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".