“Gleaning a lot from the history and physical exam,” and “reasonably confident without imaging”: a qualitative study of primary care clinicians' management of patients with low back pain
Bibliographic record
Abstract
BACKGROUND: Routine seeking of imaging for patients with low back pain is not concordant with the evidence-based recommendation that imaging is rarely of diagnostic value. Inappropriate imaging is a waste of resources and can lead to undesirable downstream effects for individuals and health systems. To develop effective strategies to reduce unwarranted referrals for imaging in primary care, we must understand the drivers for, and barriers to, guideline-adherent practice. We explored clinicians' views to identify the dominant influences on clinicians as they choose to pursue, or avoid, imaging for their patients with low back pain. METHODS: We interviewed a purposeful sample of 47 primary care clinicians (14 physiotherapists, 18 chiropractors, 15 physicians) throughout Ontario, Canada, with a guide based on the Theoretical Domains Framework (TDF). We investigated clinicians' views about their use of imaging in the management of low back pain. Interviews were recorded and transcribed verbatim. We analysed transcripts, then identified themes within TDF domains. RESULTS: Most clinicians reported that, for most clinical encounters, they adhered to guideline recommendations about imaging. Many clinicians across disciplines expressed the following themes: (1) imaging may result in an incidental finding or otherwise cause harm to patients, and drive up health system costs (TDF domain Beliefs about consequences); (2) clinicians were confident in their abilities to diagnose, to explain to patients the rationale for not recommending imaging, and to respond to their needs (domains Beliefs about capabilities; Skills). Many clinicians identified that patients occasionally want the validation that imaging provides (domain Social influences). Some clinicians described the value of imaging to corroborate a diagnosis (domain Beliefs about consequences). CONCLUSIONS: This study is the first to examine influences on imaging behaviours of a large interprofessional sample of primary care clinicians in Canada. Even among knowledgeable, skilled, confident clinicians who reported mostly adhering to guideline recommendations, there are potential influences on deviating from guideline-adherent care.
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 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 | 0.025 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.019 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".