OP35 Integrated Knowledge Translation In Policy Development
Bibliographic record
Abstract
Introduction: Immune globulin (IG) is a publicly funded blood product with high utilization rates and rapidly rising costs. Inappropriate use of IG, particularly in dose and treatment duration, is observed in about 10 percent of cases, and the national guidelines for IG treatment are outdated. To develop a utilization management policy for IG, the Alberta, Manitoba and Saskatchewan Ministries of Health collaborated with health technology assessment (HTA) researchers and clinicians to develop evidence-based guideline recommendations for IG treatment to inform an authorization policy for IG utilization in the provinces. Methods: A multidisciplinary committee comprising HTA researchers and 22 physicians from seven medical specialties adapted recommendations from 43 “seed” guidelines into one locally contextualized IG guideline. HTA methods and rapid review products were used extensively to update gaps in the evidence base. The guideline recommendation document was used to develop a provincial IG utilization management policy. The challenges of achieving a methodologically rigorous guideline development process will be discussed. Results: The guideline contained over 60 recommendations for IG use in different medical specialties. The health ministries used the guideline recommendations to develop an IG authorization policy. The clinician-sanctioned review criteria were used to construct a conditional reimbursement system for generating outcome data from controlled off-label IG use for conditions where evidence gaps existed, and were built into policies for benchmarking compliance. Conclusions: Three provinces successfully collaborated to develop an IG utilization management policy. The unique approach involved a credible and transparent process that incorporated key review elements for compliance benchmarking and reimbursement, promoted clinician buy-in, and created a cadre of clinical champions willing to assist in policy development and implementation. The proactive, rather than retroactive, incorporation of clinician-sanctioned benchmarking and review criteria into policy will help bridge the know-do gap and foster a stronger, more direct link between health policy and evidence.
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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 | 0.109 | 0.258 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.005 | 0.014 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.110 | 0.019 |
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".