Do physicians follow systemic treatment and funding policy guidelines?
Bibliographic record
Abstract
BACKGROUND: The use of bisphosphonates for the prevention of skeletal related events in women with bone metastases from breast cancer is well established. We undertook an evaluation of bisphosphonate use in clinical practice in three Canadian cancer centres. In addition we assessed whether or not physicians at these centres are following their local treatment guidelines and funding policies. METHODS: Charts and electronic files of patients who had received either clodronate or pamidronate at any time between January 2000 and December 2001 at three Canadian cancer centres were retrospectively reviewed. RESULTS: There has been a marked improvement in the time between the diagnosis of bone metastases and the commencement of bisphosphonates from a median of 155 days in 1998 to 24 days in 2001. However, despite a local funding policy requiring that oral clodronate be the first bisphosphonate used, this was the case in only 67% of patients. In addition, despite one centre's guidelines recommending that bisphosphonates be stopped once the patient was progressing, 90% of their patients remained on bisphosphonates until they died. CONCLUSIONS: A considerable amount of effort is spent on the creation of "evidence based" treatment guidelines. Funding agencies develop policies based on these treatment guidelines, but often funding is more restrictive than the treatment guideline would suggest. It is clear from this review that physicians still appear to manage a substantial proportion of patients outside of funding policies, but within evidence based recommendations. Therefore, a need exists for either the creation of guidelines and policies that physicians will follow or the implementation of methods to ensure that restrictive policies are actually followed.
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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 | 0.023 | 0.167 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".