Background: Faculty incivility can negatively affect student learning outcomes and safe clinical performance, yet little is known about the types of faculty incivility experienced by students.
Aim: The aim of this qualitative descriptive study was to describe common types of incidents of faculty incivility as reported by students enrolled in traditional bachelor of science in nursing programs.
Mehtod: Qualitative descriptive methods were used to analyze the narratives of 30 students who had experienced incidents of faculty incivility.
Results: A typology explicating the different ways students perceive faculty to be uncivil included six categories: judging or labeling students, impeding student progress, picking on students, putting students on the spot, withholding instruction, and forcing students into no-win situations.
Conclusion: Nursing faculty and administrators can use the incident typology to guide discussions related to detecting, assessing, and preventing incivility in nursing education.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/01.NEP.0000000000000287 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Background: Faculty-to-faculty incivility is an ongoing issue in nursing education. Negative effects for faculty experiencing incivility include both physical and psychological distress. Research related to faculty-to-faculty incivility has focused on the incidence and effects of incivility.
View Article and Find Full Text PDFBrain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments.
Sci Rep
January 2025
Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand.
Active transportation, such as cycling, improves mobility and general health. However, statistics reveal that in low- and middle-income countries, male and female cycling participation rates differ significantly. Existing literature highlights that women's willingness to use bicycles is significantly influenced by their perception of security.
View Article and Find Full Text PDFThe Impact of Comment Slant and Comment Tone on Digital Health Communication Among Polarized Publics: A Web-Based Survey Experiment.
J Med Internet Res
November 2024
School of Journalism and Communication, Shanghai University, Shanghai, China.
Background: Public attitudes toward health issues are becoming increasingly polarized, as seen in social media comments, which vary from supportive to oppositional and frequently include uncivil language. The combined effects of comment slant and comment tone on health behavior among a polarized public need further examination.
Objective: This study aims to examine how social media users' prior attitudes toward mask wearing and their exposure to a mask-wearing-promoting post, synchronized with polarized and hostile discussions, affect their compliance with mask wearing.
An Online Cross-Sectional Study of Nursing Students' Perceptions of Workplace Incivility in Nursing Schools During the COVID-19 Pandemic.
SAGE Open Nurs
November 2024
Faculty of Nursing, Al-Zaytoonah University of Jordan, Jordan.
Introduction: Despite a growing body of evidence on academic incivility, limited information exists on workplace incivility perceived by nursing students in nursing schools. This study, conducted amid the COVID-19 pandemic, explores nursing students' perceptions of workplace incivility in Jordanian nursing schools and investigates demographic-based differences.
Methods: This study employed a descriptive cross-sectional design, using an online survey for data collection.
Incivility in Nursing Education: A Concept Analysis.
Iran J Nurs Midwifery Res
September 2024
Department of Nursing, Saveh University of Medical Sciences, Saveh, Iran.
Background: Incivility in nursing education is a complex concept that is not exactly defined in nursing. The purpose of this study was to clarify the concept of incivility in nursing education in the Iranian cultural context.
Materials And Methods: Concept analysis was performed based on hybrid model in three steps.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!