The Association of Name Recognition, Empathy Perception, and Satisfaction With Resident Physicians’ Care Amongst Patients in an Academic Emergency Department
Bibliographic record
Abstract
Background: Recognition of the provider's name, provider empathy, and the patient's satisfaction with their care are patient-provider rapport measures. This study aimed to determine: 1) resident physicians' name recognition by patients in the emergency department; and 2) name recognition in association with patient perception of the resident's empathy and their satisfaction with the resident's care. Methods: This was a prospective observational study. A patient recognizing a resident physician was defined as the patient remembering a resident's name, understanding the level of training, and understanding a resident's role in patient care. A patient's perception of resident physician empathy was measured by the Jefferson Scale of Patient Perception of Physician Empathy (JSPPPE). Patient satisfaction of the resident was measured utilizing a real-time satisfaction survey. Multivariate logistic regressions were performed to determine the association amongst patient recognition of resident physicians, JSPPPE, and patient satisfaction after adjustments were made for demographics and resident training level. Results: We enrolled 30 emergency medicine resident physicians and 191 patients. Only 26% of studied patients recognized resident physicians. High JSPPPE scores were given by 39% of patients recognizing resident physicians compared to 5% of those who were not recognized (P = 0.013). High patient satisfaction scores were recorded in 31% of patients who recognized resident physicians compared to 7% who did not (P = 0.008). The adjusted odds ratios of patient recognition of resident physicians to high JSPPPE and high satisfaction scores were 5.29 (95% confidence interval (CI): 1.33 - 21.02, P = 0.018) and 6.12 (1.84 - 20.38, P = 0.003) respectively. Conclusions: Patient recognition of resident physicians is low in our study. However, patient recognition of resident physicians is associated with a higher patient perception of physician empathy and higher patient satisfaction. Our study suggests that resident education advocating for patient recognition of their healthcare provider's status needs to be emphasized as part of patient-centered health 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 | 0.001 | 0.008 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".