BACKGROUND: : Very little research has been focused on the interdisciplinary staffing characteristics of the operating room team, an essential component of providing safe patient care in a high-risk setting. OBJECTIVES: : The aim of this study was to determine how the operating room staffing of two surgical specialties compares in terms of social network variables. METHODS: : Staffing data from all general and neurosurgical procedures performed at a large Midwestern hospital were analyzed using Social Network Analysis methods. Network variables include centrality, team coreness, and the core/periphery network structure. Multidimensional scaling, correlation, and descriptive statistics were used for the analysis. RESULTS: : The core/periphery network structure was characteristic of both surgical services. Team coreness, a measure of how often the team worked together, was associated with the length of the case (p < .001). Procedure start time predicts the team coreness measure, with cases starting later in the day less likely to be staffed with a high core team (p < .001). Registered nurses constitute the majority of core interdisciplinary team members in both groups. DISCUSSION: : Analysis of the core/periphery structure of specialty team staffing networks indicates that many procedures are staffed with individuals who are associated peripherally with the specialty. Registered nurses as core group members are in a position to take a leadership role in the communication of norms and process variations to noncore members. The effect of having late starting cases staffed with a lower core team should be studied further because it pertains to patient outcomes. Future work should strive to account for the complex and dynamic nature of team development.
BACKGROUND: : Very little research has been focused on the interdisciplinary staffing characteristics of the operating room team, an essential component of providing safe patient care in a high-risk setting. OBJECTIVES: : The aim of this study was to determine how the operating room staffing of two surgical specialties compares in terms of social network variables. METHODS: : Staffing data from all general and neurosurgical procedures performed at a large Midwestern hospital were analyzed using Social Network Analysis methods. Network variables include centrality, team coreness, and the core/periphery network structure. Multidimensional scaling, correlation, and descriptive statistics were used for the analysis. RESULTS: : The core/periphery network structure was characteristic of both surgical services. Team coreness, a measure of how often the team worked together, was associated with the length of the case (p < .001). Procedure start time predicts the team coreness measure, with cases starting later in the day less likely to be staffed with a high core team (p < .001). Registered nurses constitute the majority of core interdisciplinary team members in both groups. DISCUSSION: : Analysis of the core/periphery structure of specialty team staffing networks indicates that many procedures are staffed with individuals who are associated peripherally with the specialty. Registered nurses as core group members are in a position to take a leadership role in the communication of norms and process variations to noncore members. The effect of having late starting cases staffed with a lower core team should be studied further because it pertains to patient outcomes. Future work should strive to account for the complex and dynamic nature of team development.
Authors: Nicholas D Soulakis; Matthew B Carson; Young Ji Lee; Daniel H Schneider; Connor T Skeehan; Denise M Scholtens Journal: J Am Med Inform Assoc Date: 2015-02-20 Impact factor: 4.497
Authors: Matthew B Carson; Denise M Scholtens; Conor N Frailey; Stephanie J Gravenor; Gayle E Kricke; Nicholas D Soulakis Journal: PLoS One Date: 2016-10-05 Impact factor: 3.240
Authors: Barbara B Brewer; Kathleen M Carley; Marge M Benham-Hutchins; Judith A Effken; Jeffrey Reminga; Michael Kowalchuck Journal: J Nurs Adm Date: 2018-09 Impact factor: 1.737
Authors: Brigid M Gillespie; Joan Webster; David Ellwood; Helen Stapleton; Jennifer A Whitty; Lukman Thalib; Nicky Cullum; Kassam Mahomed; Wendy Chaboyer Journal: BMJ Open Date: 2016-02-01 Impact factor: 2.692