Understanding how chiropractors build trust with patients: a mixed-methods study.
Bibliographic record
Abstract
INTRODUCTION: Trust is a key component of any therapeutic relationship and correlates with treatment satisfaction. Patients with high levels of trust in their healthcare providers report more beneficial heath behaviours, fewer symptoms, and a higher quality of life. The purpose of this study was to explore how chiropractors in British Columbia (BC) understand the process of building trust with patients. DESIGN: This was a sequential exploratory mixed-methods design. Semi-structured one-on-one interviews informed an online survey that was sent to all BC Chiropractic Association members. PARTICIPANTS: Interviews were completed by six chiropractors from the Vancouver Practice Based Research Network; an online survey was completed by 97 chiropractors. RESULTS: Themes of honesty, communication, perceived competence, and caring emerged during interviews. Survey findings confirmed the importance of honesty, communication, and perceived competence in building trust. CONCLUSION: Chiropractors can employ a variety of interpersonal strategies to foster trust with patients.
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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 | 0.018 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".