Abstract
Background: Nurse champions are front-line practitioners who implement innovation and reconstruct policy. Purpose: To understand through a network theory lens the factors that facilitate nurse champions’ engagement with radical projects, representing their actions as street-level bureaucrats (SLBs). Materials and methods: A personal-network survey was employed. Ninety-one nurse champions from three tertiary medical centers in Israel participated. Findings: Given high network density, high levels of advice play a bigger role in achieving high radicalness compared with lower levels advice. High network density is also related to higher radicalness when networks have high role diversity. Discussion: Using an SLB framework, the findings suggest that nurse champions best promote adoption of innovation and offer radical changes in their organizations through professional advice given by colleagues in their field network. Healthcare organizations should establish the structure and promote the development of dense and heterogeneous professional networks to realize organizations’ goals and nurses’ responsibility to their professional employees, patients, and society.
Original language | English |
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Article number | 872131 |
Pages (from-to) | 872131 |
Journal | Frontiers in Psychology |
Volume | 13 |
DOIs | |
State | Published - 23 Aug 2022 |
Bibliographical note
Funding Information:The authors acknowledge the financial assistance received by the Cheryl Spencer Institute of Nursing Research for this research.
Funding Information:
This study was funded by a grant from the Israel National Institute for Health Policy (2014/95/A). The funding organization had no involvement in the study design, the collection, analysis and interpretation of the data, the writing of the report, or in the decision to submit the article for publication.
Publisher Copyright:
Copyright © 2022 Sperling, Shadmi, Drach-Zahavy and Luz.
Keywords
- champion nurses
- innovation
- network
- nurses
- policy
- street-level bureaucrats
ASJC Scopus subject areas
- Psychology (all)