Do Patients with Chronic Noncancer Pain Accept Treatment of Questionable Benefit More Readily that those Who Are Pain Free?
Bibliographic record
Abstract
BACKGROUND: The efficacy of some common, questionable chronic pain interventions has been debated and it is unclear why sufferers of chronic noncancer pain agree to receive them. This study attempts to determine if chronic pain sufferers characteristically more readily accept treatment with questionable benefit. OBJECTIVES: This study aims to compare the strength of acceptance or rejection of a hypothetical, mock chronic pain treatment of debatable value by two groups of patients: those reporting chronic noncancer pain and those who are "pain free". METHODS: A questionnaire proposing a hypothetical treatment for chronic pain was distributed to two groups: Group 1 (n=160), patients attending a chronic pain centre, and Group 2 (n=240), patients attending a family practice centre. Patients were asked to score their "treatment acceptance" using a modified Likert scale. The treatment was based on the risks and benefits of epidural steroids. RESULTS: Ninety-three patients in Group 1 were eligible for inclusion in the "chronic pain" group and 92 patients from Group 2, for the "pain free" group. The median scores were identical at +3; nonparametric testing revealed no significant difference between the groups in their acceptance of the treatment. CONCLUSIONS: An analogue study such as this removes the potential bias of clinical interaction with a physician, but lacks some reality. Nonetheless, the results from this study did not support the hypothesis that patients with chronic noncancer pain accept treatment of questionable benefit more readily than those who are "pain free".
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".