Neuroleadership: A Concept Analysis and Implications for Nursing

Author:

Abou Hashish Ebtsam AlyORCID

Abstract

ABSTRACT BACKGROUND: Neuroleadership in nursing is a specialized leadership approach that integrates insights from social neuroscience with nursing leadership practices, aiming to proficiently lead healthcare teams to enhance patient care, staff productivity, and organizational outcomes. Yet, the exploration of neuroleadership in nursing remains limited. AIM: The aim of this study was to provide an analysis of the concept of neuroleadership and its implications in the nursing context. METHODS: Walker and Avant's 8-step methodology was used for this concept analysis, including identifying the concept, clarifying the purpose of the analysis, exploring the uses of the concept, and defining its attributes, model and contrary cases, antecedents and consequences, and its empirical referents. A comprehensive search included PubMed, CINAHL, and ERIC, between 2000 and 2023. RESULTS: This concept analysis significantly contributes to the literature by providing a comprehensive overview of neuroleadership as a distinct form of nursing leadership. It covers key aspects such as definition, attributes, uses, cases, antecedents, consequences, and empirical evidence, and highlights the importance of specialized education, practical experience, and leadership attributes in this domain. The findings could serve as determinants for establishing a neuroleadership framework and developing a structured questionnaire to measure neuroleadership among nurses and nurse leaders, thereby addressing existing empirical reference gaps. CONCLUSION: Nurse leaders adopting a neuroleadership approach can gain insights into how cognitive processes shape nurses' behaviors and motivation, which directly impact patient outcomes and care quality. Further research is needed to assess the practical impact of neuroleadership and validate its factors and model case in clinical nursing practice.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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