Using patient and physician perspectives to develop a shared decision-making framework for colorectal cancer
Bibliographic record
Abstract
BACKGROUND: Colorectal cancer is the third leading cause of death from cancer worldwide with over 900,000 diagnoses and 639,000 deaths each year. Although shared decision making is broadly advocated as a mechanism by which to achieve patient-centred care, there has been little investigation of patient and physician shared decision-making preferences and practices or the outcomes associated with shared decision making in the context of colorectal cancer. AIM: The aim of this study is to determine patient and physician attitudes towards the use of shared decision making in the setting of colorectal cancer. METHODS: Standard principles of qualitative research will be used to sample and interview 20 colorectal cancer patients in each of three tertiary care hospitals (n = 60) and 15 surgeons, radiation oncologists, and medical oncologists (n = 45) affiliated with cancer centres. The interview questions will be guided by a conceptual framework defining patient and physician factors that influence the shared decision-making process and associated outcomes in the setting of colorectal cancer. An inductive, grounded approach will be used by two investigators to independently analyze the interview transcripts. These investigators will meet to compare and achieve consensus on themes that will be tabulated to compare barriers, enablers, and outcomes of shared decision making by patient, physician, and contextual factors. DISCUSSION: This study is the first to examine both patient and physician perspectives on the use of shared decision making for colorectal cancer in North America or elsewhere. It will provide a framework that can be used to describe the shared decision-making process and its outcomes, and evaluate strategies to facilitate this process for patients with colorectal cancer.
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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 | 0.085 | 0.058 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.015 | 0.041 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.005 | 0.017 |
| Research integrity | 0.004 | 0.010 |
| 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".