The role of Empathy in the relationship between emotional support and caring behavior towards patients among intern nursing students
Bibliographic record
Abstract
BACKGROUND: The empathic relationship between nursing students and patients allows them to understand and address caring behavior for patients. Appropriate emotional support equips them to overcome the complexities and difficulties inherent in patient care. This support cultivates resilience and self-awareness, enabling students to manage their emotions effectively and establish meaningful connections and caring with their patients. OBJECTIVES: To investigate the role of empathy in the association between emotional support and caring behavior toward patients among intern nursing students at Alexandria and Damanhur University. SUBJECTS: The study subjects were 200 intern nursing students in their internship years of 2022-2023, randomly selected from an equal sample size from Alexandria and Damanhur University, Egypt. TOOLS: A questionnaire of social information& academics from students, the Toronto Empathy Questionnaire, the Caring Dimension Inventory, and the Multidimensional Scale of Perceived Social Support are used to collect participants' data. RESULTS: Empathy was associated with caring behavior and emotional support among nursing students (P < 0.001), and higher levels of empathy indicated increased levels of caring behavior and emotional support. The caring behavior significantly increased when intern nursing students received more emotional support and among those who were not working in private hospitals (p < 0.001,&p = 0.023 respectively). Empathy acts as a mediating role in the relationship between emotional support and caring behavior. IMPLICATIONS: Implementing strategies to assist interns in navigating challenges and promoting a culture of support can facilitate the cultivation of caring behaviors. Shedding light on the interconnectedness of empathy, emotional support, and caring behavior can inform the design of interventions to strengthen empathy as a pathway to improving patient outcomes. CONCLUSION: Empathy is a mediating factor in the relationship between emotional support and caring behavior. This suggests that interventions promoting empathy may serve as a pathway to enhancing caring behavior among nursing students and strategies for improving patient care outcomes by strengthening empathy skills among healthcare professionals.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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".