Applying Social Network Analysis to the Spread of Moods and Emotions Among Graduate Nursing Students
Patricia M. Schmidt, PhD, RN; Jose Luis Nuncio-Dominguez; Raul Adrian Castillo-Vargas; Irving Arnoldo Viera-Villanueva Sr.; Zabdiely E. Vargas-Rangel Jr.; Maria Ascencion Tello
- Sigma Affiliation
Visits vs Downloads
Visitors - World Map
Top Visiting Countries
Top Visiting Cities
Visits (last 6 months)
Downloads (last 6 months)
Popular Works for Schmidt, Patricia M. by View
Popular Works for Schmidt, Patricia M. by Download
Turnover costs average 21 percent of an employee’s annual salary in healthcare. Organizations invest more for the turnover of specialized employees. Hospitals expend thousands of dollars annually hiring and training new staff. Healthcare workers spend a significant percentage of time at work . Heavy workloads and long hours, burn out and turnover are a continued concern. Relationships in a nursing environment are complex and highly integrated. Affect is the experience of moods and emotions, and is influenced by behavior and interactions. Affect influences performance, decision making, safety, turnover and absence, prosocial behavior, and negotiation and conflict resolution which may impact on patient outcomes. Affect contagion, the transfer of moods and emotions in groups, occurs with interaction. It’s existence is well established in corporate and industry settings to influence workplace outcomes. Understanding how relationships impact affect, behaviors, and cognition can lead to a healthier work environment therefore improving patient outcomes. Workplace affect can be of critical importance. An individual’s work affect is influenced by those around them. Affect contagion, the transfer of affect between individuals, is well documented. Affect transmission has been studied in healthcare. The purpose of the study was to observe and describe the spread of affect in a group of military graduate nursing students using social network analysis.
Healthcare affect contagion research has occurred on the dyadic level or as a single time point, identifying the presence of collective affect but does not account for the dynamic capabilities of affect to evolve and change. Using social network methodologies to examine affect contagion provides a conduit to understand affect contagion as an environmental phenomenon. Social network analysis (SNA) identifies important individuals, channels of affect flow, the dynamics behind positive and negative self-reinforcement, and the impact of network topologies on the effectiveness of affect-oriented interventions.
The Kelly and Barsade middle range theory of moods and emotions in small groups and work teams was used to develop the design of the study, find valid measurement tools, and conduct analysis.
There were 35 participants from a closed network of 60 advanced practice nursing students. Social network surveys established relationships among the participants. Student’s affect was surveyed twice daily 14 times over the course of a semester to measure changes in affect. Affect expressivity and susceptibility to the affect of others was measured. This study utilized social network analysis and linear statistics to identify and visualize relationships among graduate nursing students during an academic semester. The relationships were correlated with the affect of participants to determine the impact of individual moods and emotions on those with whom they interact.
Using assortative mixing calculations, affect among participants was correlated with their identified “friends” at four time points and affect similarity was correlated with academic specialty program and the amount of time spent with classmates. Stimulus exposure on three data collection days changed the affect of exposed participants. The students exposed to the stimuli demonstrated a change in affect, and assortativity correlation demonstrated similar affect. Environmental events occurring during the semester were identified and associated with changes in affect among the participants. Affect contagion occurs in advanced practice nursing student networks and affect influencing stimuli have the potential to influence the exposed individual.
The moods and emotions of nurses are impacted by the events of the day and those whom they spend much of their time. Developing environments that support and facilitate high positive affect and low negative affect of nursing staff should improve the quality of patient care. Utilizing advanced statistical methods, like social network analysis, promotes comprehensive quantification of the relationship that exists among group members. An understanding of the behaviors exhibited by group members related their affective state may facilitate development of methods to decrease negative affect and increase positive affect as a means to promote a healthy productive environment.
|Review Type||Abstract Review Only: Reviewed by Event Host|
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Showing items related by title, author, creator and subjects.
Lambert-Davis, Jacquelyn Denise; Patrician, PatriciaCaring is a feeling of compassion and an understanding of the difficulties of others. Research indicates that caring behaviors and attitudes are an important part of the knowledge base for nursing students. These findings ...
Knowledge Gaps in Practice-Based Problems and Research-Based Interventions among Online Graduate Nursing Students Riccio, Patricia A.; Patton, Carol M.; Bloch, Joan Rosen (2016-03-17)Session presented on Saturday, July 25, 2015: Purpose: This study sought to: (1) describe the salient clinical nursing problems identified by practicing MSN students (2) determine if areas of inquiry were congruent to the ...
Exploring advanced practice nurse personal professional practice behaviors in engaging people in shared decision-making Galante, Christine M.; Winstanley, Helene D.; Hood, PatriceTo explore the attitudes and perceptions of advanced practice nurses in active clinical settings about engaging patients with chronic diseases as partners in shared decision-making and self-management which may improve ...
Applying Evidence-Based Practice to Advance Leadership in Practice Among Graduate Nursing Students Byrne, Sharon K.Graduate students need a firm knowledge and application of evidence-based practice (EBP) and research in order to promote positive outcomes in patient populations and healthcare practice settings. A capstone project can ...
Good Work in Nursing and Relationship to Professional Socialization: A Comparative Analysis of Two Research Studies and Implications for Nursing Education Alichnie, M. Christine; Miller, Joan F. (2012-9-12)Purpose: Nursing practice adheres to high standards regardless of the multi-contextual work environment or the paradigm shift in modern health care. This concept of Good Work in Nursing has three major characteristics; ...