Intervention usage for the management of low back pain in a chiropractic teaching clinic
Bibliographic record
Abstract
BACKGROUND: Despite numerous low back pain (LBP) clinical practice guidelines, published studies suggest guideline nonconcordant care is still offered. However, there is limited literature evaluating the degree to which chiropractors, particularly students, follow clinical practice guidelines when managing LBP. The aim of this study was to evaluate the frequency of use of specific interventions for LBP by students at a chiropractic teaching clinic, mapping recommended, not recommend, and without recommendation interventions based on two clinical practice guidelines. METHODS: This was a retrospective chart review of patients presenting to the Canadian Memorial Chiropractic College teaching clinic with a new complaint of LBP from January to July 2019. Interventions provided under treatment plans for each patient were extracted. Interventions were classified as recommended, not recommended, or without recommendation according to two guidelines, the NICE and OPTIMa LBP guideline. RESULTS: 1000 patient files were identified with 377 files meeting the inclusion criteria. The most frequent interventions provided to patients were manipulation/mobilization (99%) and soft tissue therapy (91%). Exercise, localized percussion, and advice and/or education were included in just under half of the treatment plans. Patient files contained similar amounts of recommended (70%) and not recommended (80%) interventions according to the NICE guideline classification, with half the treatment plans including an intervention without recommendation. Under the OPTIMa acute guideline, patient files contained similar amounts of recommended and not recommended care, while more recommended care was provided than not recommended under the OPTIMa chronic guideline. CONCLUSIONS: Despite chiropractic interns providing guideline concordant care for the majority of LBP patients, interventions classified as not recommended and without recommendation are still frequently offered. This study provides a starting point to understand the treatment interventions provided by chiropractic interns. Further research should be conducted to improve our understanding of the use of LBP guideline recommended care in the chiropractic profession. TRIAL REGISTRATION: Open Science Framework # g74e8.
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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 | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".