Relationship Between Orthopedic Surgeon’s Empathy and Inpatient Hospital Experience Scores in a Tertiary Care Academic Institution
Bibliographic record
Abstract
Studies have examined the relationship between physician empathy and patient experience, but few have explored it in surgeons. The purpose of this study was to report on orthopedic surgeon empathy in a mutlispecialty practice and explore its association with orthopedic patient experience. Patients completed the consultation and relational empathy (CARE) measure (March 2017-August 2018) and Canadian Patient Experience Survey-Inpatient Care (CPES-IC; March 2017-February 2019) to assess empathy and patient experience, respectively. Consultation and relational empathy measures were correlated to CPES-IC for 3 surgeon-related questions pertaining to respect, listening, and explaining. Surgeon CARE scores (n = 1134) ranged from 42.0 ± 9.1 to 48.6 ± 2.4 with 50.4% of patients rating their surgeon as perfectly empathic. There were no significant differences between surgeons for CPES-IC continuous and topbox scores (n = 834) for respect and correlations between CPES-IC questions. The CARE measure for both continuous and topbox scores were weak to moderate, but none were significant. Empathy was associated with surgeon respect and careful listening, despite lack of significant correlation. Possible future work could use an empathy tool more appropriate for this surgeon population.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".