You Present like a Drug Addict: Patient and Clinician Perspectives on Trust and Trustworthiness in Chronic Pain Management: Table 1
Bibliographic record
Abstract
OBJECTIVE: Past research has demonstrated that trust is central to an effective therapeutic relationship, but the role of trust in chronic pain management is not well understood. The objective of this study was to provide an in-depth examination of how adults living with chronic pain negotiate trust and demonstrate trustworthiness with clinicians in therapeutic encounters. METHODS: This qualitative study focused on adults living in an urban setting in British Columbia, Canada. Semi-structured interviews (N = 27) were conducted with participants with chronic low back pain. The results were triangulated by two feedback groups comprising re-contacted interview participants (n = 4) and physicians with expertise in pain and addiction management (n = 6). RESULTS: Grounded theory analysis of the adult patient interviews and feedback groups yielded four major themes: 1) threats to trustworthiness and iatrogenic suffering; 2) communicating the invisible and subjective condition of chronic pain; 3) motive, honesty, and testimony; and 4) stigmatized identities. The following two themes emerged from the analysis of the physician feedback group: 1) challenges of the practice context, and 2) complicated clinical relationships. CONCLUSIONS: We found that perceived trustworthiness is important in therapeutic encounters as it helps to negotiate tensions with respect to subjective pain symptoms, addiction, and prescription opioid use. An attitude of epistemic humility may help both clinicians and patients cultivate a trustworthy clinical environment, manage the challenges associated with uncertain testimony, place trust wisely, and promote optimal pain care.
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".