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Covert incivility: Challenges as a challenge in the nursing academic workplace
The purpose of this paper is to present a Neuman Systems Model-guided discussion of current knowledge associated with covert incivility in the nursing academic workplace. The Neuman Systems Model provides a multiple discipline, systems perspective of the stressor covert incivility and levels of prev...
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Published in: | Journal of professional nursing 2018-07, Vol.34 (4), p.253-258 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The purpose of this paper is to present a Neuman Systems Model-guided discussion of current knowledge associated with covert incivility in the nursing academic workplace.
The Neuman Systems Model provides a multiple discipline, systems perspective of the stressor covert incivility and levels of prevention interventions to counter it.
Covert incivility is defined as a stressor that affects individual, group, community, and social systems' intrapersonal, interpersonal, and extrapersonal levels of function. Two prominent examples of expressing covert incivility in academic settings are identified—pluralistic ignorance and passive aggression.
The Neuman Systems Model can guide development and testing of primary, secondary, and tertiary prevention interventions targeted to covert incivility in the nursing academic workplace, as well as outcomes of the interventions.
The Neuman Systems Model is a useful multiple discipline conceptual model for identification and testing of the effects of covert incivility in the nursing academic workplace.
•A guided discussion focused on covert incivility within the nursing academic workplace using the Neuman Systems Model•Covert incivility affects three levels of function and is expressed through pluralistic ignorance and passive aggression•The Neuman Systems Model provides a framework for developing and testing prevention interventions and outcomes |
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ISSN: | 8755-7223 1532-8481 |
DOI: | 10.1016/j.profnurs.2017.10.001 |