The Alberta Health Technology Assessment (HTA) Ambassador Program: The Development of a Contextually Relevant, Multidisciplinary Clinical Practice Guideline for Non-specific Low Back Pain: A Review
Bibliographic record
Abstract
PURPOSE: To describe the development of a contextually relevant multidisciplinary clinical practice guideline (CPG) for non-specific low back pain (LBP) and to discuss its value to the management of LBP and the practice of physiotherapy. METHOD: To mitigate an identified knowledge gap for Alberta primary-care practitioners in the management of non-specific LBP, a collaborative process was developed to engage multidisciplinary health care providers in designing a primary-care CPG for non-specific LBP. A comprehensive review of published LBP guidelines identified the seven highest-quality CPGs; these were used to inform a multidisciplinary guideline development group (GDG) as they developed the CPG. RESULTS: The GDG constructed a CPG for non-specific LBP along with point-of-care decision-support and patient-education tools. CONCLUSIONS: The Ambassador Program on Low Back Pain worked with front-line clinicians from across Alberta to review the best available evidence in developing a CPG responsive to the Alberta context. This CPG is intervention specific and provides a wide range of primary-care practitioners with the best available evidence to inform their clinical decisions in managing non-specific LBP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".