Personal and Clinical Predictors of Professional Nursing Governance Among Nurses in a Government Hospital

Authors

Carol B. Silverio, RN

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

Joan P. Bacarisas, DM, MAN, RN

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

Article Information

DOI: 10.51584/IJRIAS.2026.11060066

Subject Category: Nursing

Volume/Issue: 11/6 | Page No: 743-762

Publication Timeline

Submitted: 2026-05-23

Accepted: 2026-05-28

Published: 2026-06-23

Abstract

This study aimed to determine the level of professional nursing governance and identify the personal and clinical profile variables that predict governance among nurses in a government hospital. This quantitative study utilized a descriptive and correlational (predictive) research design. A complete enumeration of staff nurses was conducted, and data were gathered using a structured questionnaire consisting of a researcher-developed profile form and an adapted Index of Professional Nursing Governance (IPNG). Descriptive statistics and multiple linear regression analysis were used. Findings showed that nurses demonstrated a high level of professional nursing governance, although participation in organizational decision-making and influence over resources were only moderate. Selected personal variables and clinical factors significantly predicted governance, particularly those related to leadership exposure, participation, autonomy, collaboration, and managerial support. The study concludes that professional nursing governance is influenced by both individual and workplace factors. A Professional Nursing Governance Enhancement Plan is proposed to strengthen participation, leadership support, and shared governance structures.

Keywords

Descriptive, Correlational Design; Nurses; Professional Nursing Governance; Shared Governance; Predictors

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