Investigation of empathy amongst dietetic interns at selected primary and tertiary health‐care facilities
Bibliographic record
Abstract
AIM: Empathy is an essential aspect in the delivery of quality nutrition care and promoting better outcomes in patients. With an increased emphasis of patient-centred care in dietetic practice, empathy should underpin the construct of the curriculum in dietetic education. The present study investigated the empathy level of dietetic interns through self-reporting measures and patients' perception. METHODS: This cross-sectional study was conducted on a total of 57 dietetic interns and 99 patients from primary and tertiary health care settings. The dietetic interns completed the Toronto Empathy Questionnaire (TEQ) while the Consultation and Relational Empathy (CARE) measure was self-administered by patients. Socio-demographic information of participants was collected. RESULTS: The dietetic interns' mean (standard deviation [SD]) TEQ scores were 46.90 ± 5.28 and 47.78 ± 5.34 in primary and tertiary care, respectively. CARE measure scores rated by patients in the primary care were 38.61 ± 8.38 and for tertiary setting, the scores were slightly higher (39.47 ± 7.65). The settings, gender, ethnicity and period of internship did not affect dietetic interns' empathy level. In primary care, CARE scores were significantly different between patients' age grouping (P = 0.007). CONCLUSIONS: Findings from the present study showed that patients' age significantly affected their perception of dietetic interns' empathy in primary health care. These preliminary findings could facilitate an understanding of the level of empathy amongst interns for consideration in the future design of dietetic training.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".