Empathy level among the medical students of national defence university of malaysia consuming toronto empathy scale
Bibliographic record
Abstract
Background: Multiple research articles were continuously emphasizing that constructive effects of empathy improve patient care. Medical professional bodies often talk that medical doctors need to be competent in clinical skills and empathetic. There was enormous demand from patients that doctors should be empathetic and motivate listeners. Therefore, medical educators became highly concern about the issue whether their students possess empathetic qualities. The Aim of the Study: To measure the empathy level among the medical students and to perform validation and reliability study of the Toronto Empathy Questionnaire (TEQ). Materials and Methods: This was a cross-sectional study among medical students of the Defence University of Malaysia to measure empathy level. The TEQ was utilized to collect data. The data were collected in early second half of 2017. The universal sampling method was adopted, and data were analyzed with IBM SPSS Software. Results: The current study population holds an average level of empathy. Female medical students had statistically significantly (P = 0.001) higher scores than their male friends. There no statistically significant differences observed in the TEQ score between the year of study (P = 0.948) and type of admission (P = 0.065). Conclusion: The current study respondents possess an average level of empathy. Educational intervention can be incorporated to enhance empathy level which sequentially promotes patient care.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".