Rapid Reviews to Support Practice: A Guide for Professional Organization Practice Networks
Bibliographic record
Abstract
Background. Occupational Therapists, among other healthcare decision makers, often need to make decisions within limited timeframes and cannot wait for the completion of large rigorous systematic reviews and meta-analyses. Rapid reviews are one method to increase the integration of research evidence into clinical decision making. Rapid reviews streamline the systematic review process to allow for the timely synthesis of evidence; however, there does not exist a single agreed upon guide for the methodology and reporting of rapid reviews. Purpose. This paper proposes a rapid review methodology that is customized to a professional organization practice which can feasibly be used by practice networks such as those of the Canadian Association for Occupational Therapy to conduct reviews. Implications. Practice networks provide a sustainable mechanism to integrate research evidence and foster communication amongst practitioners. This guide for conducting and reporting rapid reviews can be used across Occupational Therapy practice networks and similar groups to support the consistent and timely synthesis of evidence necessary to improve evidence-informed clinical decision making.
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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 | 0.441 | 0.650 |
| Meta-epidemiology (narrow) | 0.006 | 0.012 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.037 | 0.041 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.023 | 0.022 |
| Open science | 0.015 | 0.019 |
| Research integrity | 0.017 | 0.023 |
| Insufficient payload (model declined to judge) | 0.033 | 0.060 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".