'I can sit and talk to her': Aboriginal people, chronic low back pain and heathcare practitioner communication
Bibliographic record
Abstract
Background: Chronic low back pain (CLBP) is a complex issue to manage in primary care and under-researched in Aboriginal populations. Good communication between practitioners and patients is essential but difficult to achieve. This study examined communication from the perspective of Aboriginal people with CLBP in regional and remote Western Australia. Methods: Qualitative, in-depth interviews were conducted with 32 adults with CLBP who identify as Aboriginal. The approach and analysis were informed by clinical ethnography and cultural security. Results: Barriers to communication related to communication content, information that was not evidence-based, miscommunications, communicative absence and the use of medical jargon. Enablers related to communication style described as 'yarning', a two-way dialogue, and healthcare practitioners with good listening and conversational skills. Discussion: Health practitioners need to consider communication content and style to improve interactions with Aboriginal people with CLBP. A 'yarning' style may be a useful framework. Findings may be pertinent to other populations.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".