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Record W7019833195

'I can sit and talk to her': Aboriginal people, chronic low back pain and heathcare practitioner communication

2014· article· en· W7019833195 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUWA Profiles and Research Repository (UWA) · 2014
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsActive listeningStyle (visual arts)Perspective (graphical)Culturally appropriateEthnographyHealth communicationPrimary careQualitative research
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.333
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it