Self-Reported Emotional Intelligence on the Competencies of Nurse Managers in a Level 2 Government Hospital

Authors

Roxanne O. Villaruz, RN

Graduate School of Allied Health Sciences, University of the Visayas (Philippines)

Resty L. Picardo, DM, MAN, JD, RN

Gullas College of Medicine, Inc. (Philippines)

Joan P. Bacarisas, DM, MAN, RN

Graduate School of Allied Health Sciences, University of the Visayas (Philippines)

Article Information

DOI: 10.51584/IJRIAS.2026.11080019

Subject Category: Management

Volume/Issue: 11/8 | Page No: 301-314

Publication Timeline

Submitted: 2026-07-26

Accepted: 2026-07-31

Published: 2026-08-31

Abstract

Nurse manager competencies are vital because they directly bridge the gap between corporate administrative strategy and frontline clinical execution to ensure operational efficiency. There is a scarcity pf research studies at the local level where competencies of nurse managers is influenced by self-reported emotional intelligence in a level 2 hospital. This quantitative study utilized the descriptive correlational design to assess the relationship of self-reported emotional intelligence and competencies among nurse managers in a level 2 government hospital in Mandaue City for the first half of August 2026. Findings of the study revealed that self-reported emotional intelligence of the nurse managers was average. Specifically, they had an average appraisal of emotions (perceiving emotions), managing self-relevant emotions, managing others' emotions (social skills), and utilization of emotions. The competencies of the nurse mangers were high. Specifically, they had a high level of staff advocacy and development, team communication and collaboration, change and resource management, quality monitoring and pursuance, and personal mastery. Self-reported emotional intelligence was significantly correlated with competencies of the nurse managers. As a result, a competency enhancement plan for nurse managers was proposed.

Keywords

Competencies; Nurse Managers; Self-reported Emotional Intelligence; Government Hospital; Descriptive-correlational design.

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References

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