Timely access and quality of care in colorectal cancer: are they related?
Bibliographic record
Abstract
OBJECTIVE: Colorectal cancer patients want both timely access and high-quality care. The objective of this study was to explore relationships between quality indicators and access time intervals specific to colorectal cancer patients. DESIGN: Prospective consecutive cohort study. SETTING: Single health district. PARTICIPANTS: Between February 2002 and February 2004, all patients undergoing non-emergent surgery for primary colorectal cancer were enrolled. INTERVENTION: A standardized method was used to collect clinicodemographic, diagnostic and treatment event data. MAIN OUTCOME MEASURES: Associations between accepted colorectal cancer-specific quality indicators and benchmarked access time intervals for diagnosis, surgery and adjuvant therapy were examined using multivariate logistic regression, controlling for clinicodemographic factors. RESULTS: Among the 392 patients in the study cohort, 9.9% were diagnosed on screening examination, 53.1% underwent preoperative staging imaging and 74.5% underwent full preoperative colonic examination. On multivariate logistic regression, patients presenting via screening were more likely to move from presentation to diagnosis within the 4-week benchmark for this access time interval, compared with symptomatic patients (RR 8.1, P < 0.001). The absence of preoperative staging imaging was associated with achievement of the 4-week benchmark for the access time interval from diagnosis to surgery (RR 2.5, P < 0.001). Similarly, an absence of complete preoperative colonic examination was associated with achievement of the 8-week benchmark for the access time interval from surgery to adjuvant therapy (RR 6.6, P = 0.008). CONCLUSIONS: Although several associations between quality indicators and benchmarked access time intervals for colorectal cancer patients were identified, the relationship between quality and access is complex and far from universal. It is therefore clear that quality care and timely access are not synonymous, and that both must be studied to improve colorectal cancer care.
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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 | 0.003 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".