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Reciprocal dynamics of empathy and attachment styles in pediatric emergency nursing care: A cross-sectional study
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Background

Despite their critical role in child care, emergency department (ED) nurses’ empathy and their attachment style toward children have not been thoroughly studied.

Objectives

This research is conducted to explore the reciprocal dynamic relationship between nurses’ empathetical orientation and their level of attachment style in the pediatric emergency departments.

Methods

A descriptive cross-sectional survey was conducted across 132 pediatric emergency nurses from three pediatric hospitals in 2024. The study utilized a tool comprised socio-demographic characteristics of pediatric emergency nurses, the Jefferson Scale of Empathy, and Adult Attachment Scale. The Statistical Package for Social Sciences, version 26 was used to examine the associations among the measured variables in the study.

Results

The study results show that the mean of empathetical orientation of nurses in the pediatric emergency departments was at a moderate level with a total mean score of M(SD) = 47.08 (8.68) (perspective-taking); M(SD) = 30.33 (5.68) (compassionate care); and M(SD) = 14.50 (3.44) (standing in the patient’s shoes). The total mean attachment style was at a moderate level, with a total mean score of their secure M(SD) = 18.46 (3.33), anxious M(SD) = 8.04 (2.40), and avoidant M(SD)= 17.34 (3.93). There is a significant association between the level of empathetical orientation and the level of attachment style (P-value ≤ 0.001) for pediatric nurses in the emergency departments.

Conclusion

An empathetical orientation is independently significantly predicted of attachment style of pediatric emergency nurses. The findings could be the basis for emergency nurses to expand their roles in enhancing children health outcomes to improve their own empathy recognition abilities for adapting attachment style.

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Wed Feb 27 2019
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Wed Oct 18 2023
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The Impact of Nutrition Education Program upon Pregnant Mothers’ Nutritional Knowledge
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Thu Oct 01 2020
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Publication Date
Wed Sep 16 2015
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Formation of self-assembled polymeric complexes with bridged azido-dicarboxylato ligands
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Preparing of ECG Dataset for Biometric ID Identification with Creative Techniques
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