Building evidence to reduce inequities in management of pain for Indigenous Australian people
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.
Bibliographic record
Abstract
OBJECTIVES: Pain is a universal experience which each person encounters differently, guided by the psycho-socio-environmental context in which it occurs. Although more research is underway yet very little is known about pain from Indigenous Australian perspective. Therefore, this study aims to examine, experience of pain and coping, and utility of three measures: Brief Pain Inventory short form, McGill Pain Questionnaire and Numerical rating scale, from Indigenous South Australian people perspective. METHODS: Thirteen in-person interviews were conducted which lasted around 90 min and were audio-recorded. The transcripts were coded and analysed thematically with NVivo. RESULTS: Six key themes were identified; 1: Spiritual conceptualisation of pain; 2: Frequent experience of trauma and injury; 3: Influence of familial history of pain; 4: Acceptance of pain as normal; 5: Outlook on biomedical management of pain; 6: Preference for non-pharmacological management of pain. Also, the three measures did not fully capture pain from an Indigenous Australian perspective which is more deeply rooted in a bio-psycho-socio-spiritual context which is cardinal to conceptualization of health and wellbeing in Indigenous Australian communities. CONCLUSIONS: Findings highlight some commonalities as well as unique differences between Indigenous experiences of pain as compared to non-Indigenous. Factors such as spiritual connection with pain, grief and loss, history of trauma and injury, fear of addiction to pain medication and exposure to pain from early childhood had important implications for how participants viewed pain.
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 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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it