An exploration of low back pain beliefs held by health care professionals in Northern America
Bibliographic record
Abstract
BACKGROUND: Prior research demonstrated that people in the United States and Canada (Northern America) hold predominantly biomedical beliefs about Low back pain (LBP); such beliefs were attributed to healthcare professionals (HCP). Further investigation is needed to understand HCP' LBP beliefs, preferred management strategies, and sources of beliefs. METHODS: Participants were recruited via social media to complete a qualitative cross-sectional online survey. The survey was distributed to assess LBP beliefs in a U.S. and Canadian-based clinician population. Participants answered questions about the cause of LBP, reasons for recurrence or persistence, use of imaging, management strategies, and sources of beliefs. Responses were analysed using an inductive thematic analysis. RESULTS: One hundred and sixty three participants were included, reporting multiple causes for LBP. However, many references were anchored to biological problems. When psychological variables were mentioned, it typically involved patient blaming. Like prior research studies, minimal attention was given to societal and environmental influences. Management strategies often aligned with guideline care except for the recommendation of inappropriate imaging and a reliance on passive interventions. CONCLUSIONS: These findings align with prior research studies on general population beliefs, demonstrating a preference for biological causes of LBP. Further updates are needed for clinical education, while future studies should seek to assess the translation of clinician beliefs into clinical practice and health system constraints.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".