Twelve years of clinical practice guideline development, dissemination and evaluation in Canada (1994 to 2005)
Bibliographic record
Abstract
BACKGROUND: Despite the growing availability of clinical practice guidelines since the early 1990's, little is known about how guideline development and dissemination may have changed over time in Canada. This study compares Canadian guideline development, dissemination, and evaluation in two six year periods from 1994-1999 and 2000-2005. METHODS: Survey of guideline developers who submitted their clinical practice guidelines to the Canadian Medical Association Infobase (a Canadian guideline repository) between 1994 and 2005. Survey items included information about the developers, aspects of guideline development, and dissemination and evaluation activities. RESULTS: Surveys were sent to the developers of 2341 guidelines in the CMA Infobase over the 12 year period, 1664 surveys were returned (response rate 71%). Of these, 730 unique guidelines were released from 1994-1999, and 630 were released from 2000-2005. Compared to the earlier period, more recent guidelines were being produced in English only. There has been little change in the type of organizations developing guidelines with most developed by provincial and national organizations. In the recent period, developers were more likely to report using computerized search strategies (94% versus 88%), publishing the search strategy (42% versus 34%), reaching consensus using open discussion (95% versus 78%), and evaluating effectiveness of the dissemination strategies (12% versus 6%) and the impact of the CPGs on health outcomes (24% versus 5%). Recent guidelines were less likely to be based on literature reviews (94% versus 99.6%) and were disseminated using fewer strategies (mean 4.78 versus 4.12). CONCLUSION: Given that guideline development processes have improved in some areas over the past 12 years yet not in others, ongoing monitoring of guideline quality is required. Guidelines produced more recently in Canada are less likely to be based on a review of the evidence and only about half discuss levels of evidence underlying recommendations. Guideline dissemination and implementation activities have actually decreased. Unfortunately, the potential positive impact on patient health outcomes will not be realized until the recommendations are adopted and acted upon.
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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 | 0.019 | 0.084 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.015 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".