Surgical Team Structure: How Familiarity and Team Size Influence Communication Effectiveness in Military Surgical Teams.

INTRODUCTION: Preventable patient harm has persisted in health care despite recent advances to reduce errors. There is increasing recognition that non-technical skills, including communication and relationships, greatly impact interprofessional team performance and health care quality. Team familiarity and size are critical structural components that potentially influence information flow, communication, and efficiency. METHODS: In this exploratory, prospective, cross-sectional study, we investigated the key structural components of surgical teams and identified how surgical team structure shapes communication effectiveness. Using total population sampling, we recruited surgical clinicians who provide direct patient care at a 138-bed military medical center. We used statistical modeling to characterize the relationship between communication effectiveness and five predictors: team familiarity, team size, surgical complexity, and the presence of surgical residents and student anesthesia professionals. RESULTS: We surveyed 137 surgical teams composed of 149 multidisciplinary clinicians for an 82% response rate. The mean communication effectiveness score was 4.61 (SD = 0.30), the average team size was 4.53 (SD = 0.69) persons, and the average surgical complexity was 10.85 relative value units (SD = 6.86). The surgical teams exhibited high variability in familiarity, with teams co-performing 26% (SD = 0.16) of each other's surgeries. We found for every unit increase in team familiarity, communication effectiveness increased by 0.36 (P ≤ .05), whereas adding one additional member to the surgical team decreased communication effectiveness by 0.1 (P ≤ .05). Surgical complexity and the influence of residents and students were not associated with communication effectiveness. CONCLUSIONS: For military surgical teams, greater familiarity and smaller team sizes were associated with small improvements in communication effectiveness. Military leaders can likely enhance team communication by engaging in a thoughtful and concerted program to foster cohesion by building familiarity and optimizing team size to meet task and cognitive demands. We suggest leaders develop bundled approaches to improve communication by integrating team familiarity and team size optimization into current evidence-based initiatives to enhance performance.

Associations of Surgical Team Communication With the Layout of Physical Space: A Network Analysis of the Operating Room in a Military Medical Center.

AIM: To examine how the spatial topology of the operating room (OR) within the medical center impacts surgical team communication. BACKGROUND: Understanding the complex association between surgical team communication and the OR's spatial network location is critical to patient safety. Effective surgical communication is associated with fewer adverse events and medical errors. METHODS: We employed a cross-sectional, quantitative, case study, and network-centric study design. We studied the population of 204 clinicians in a large military medical center (36 perioperative nurses, 34 surgical technicians, 62 anesthesia providers, and 72 surgeons), focusing on surgical teams with cases completed within duty hours. Data were collected from December 2020 to June 2021 using an electronic survey. Spatial network analysis was done using electronic floor plans. Statistical analysis was done with descriptive statistics and linear regressions. The outcomes were general and task-specific communication, and team-level variables were aggregated from scores for all team members. Spatial effects were assessed with network centrality (degree, Laplacian, and betweenness). RESULTS: The individual-level survey response rate was 77% (157 of 204). Data were collected on 137 surgical teams. On a 5-point scale, general and task-specific communication ranged from 3.4 to 5.0 and 3.5 to 5.0, respectively (for both, median = 4.7). Team size ranged from 4 to 6 individuals (median = 4). Surgical suites with higher network centralities were associated with significantly lower communication scores. CONCLUSIONS: The OR's spatial network location has important impacts on surgical team communication. Our findings have design and workflow implications for ORs and even surgical care in combat zones.

The Paradox of Network Inequality: Differential Impacts of Status and Influence on Surgical Team Communication.

INTRODUCTION: Introduction: Healthcare is a dynamic and complex system predisposed to adverse events caused by human and technical errors. The ability of multidisciplinary clinicians to effectively communicate clinical information influences healthcare quality. Authority gradients, culture, and organizational hierarchy frequently constrict communication and contribute to surgical adverse events. Hierarchy is especially pronounced in military medicine, where military status, rank, and professional roles potentially create barriers to communication. METHODS: We used an exploratory, prospective, cross-sectional design to determine how the social structure of military surgical teams influences group (network) communication effectiveness. Using a social network questionnaire, we surveyed members of surgical teams concerning their close-working relationships with other team members and perceptions of their communication effectiveness. We addressed the following research question: In surgical teams, how do the status (indegree) and influence (outdegree) of its individual members impact communication within the team? RESULTS: We surveyed 50 surgical teams comprised of 45 clinicians and found that for close-working relationship networks communication effectiveness improved with lower concentrations of status and higher concentrations of influence. Network indegree (i.e., status) (ß=-0.893, p=.019) had a larger impact than outdegree (i.e., influence) (ß=0.617, p=.015), indicating status had a larger effect on communication effectiveness than influence. Put simply, our results show communication improves when there is more equality of status in the surgical team. Paradoxically, communication improves when there are higher concentrations of network influence among surgical team members. CONCLUSIONS: Inequality in surgical team networks has paradoxical effects on communication effectiveness. The impact of network structure on organizational behavior is of high interest to the military and provides essential insights into clinicians' ability to communicate in a highly complex and task-based environment. Communication will likely improve in surgical teams through methods to foster equality of team member status and promote surgical leadership. Military medical policies could both amplify the positive effects and mitigate the negative effects of network inequality.

Social network analysis: Exploring connections to advance military nursing science.

BACKGROUND: Military nurse scientists are embedded in service-affiliated branches (Army, Navy, Air Force) with different missions, but with the singular purpose of generating and disseminating research impacting the health and well-being of DoD beneficiaries. PURPOSE: This project examines collaboration among TriService Nursing Research Program (TSNRP) members, seeking opportunities to strengthen, diversify, and expand research collaboration. METHOD: Social network analysis (SNA) is the empirical inquiry of relations among social actors at different levels of analysis. An electronic SNA assessment and total enumerative sampling were used to explore current collaborations among PhD-prepared military nurse scientists (N = 136). FINDINGS: The TSNRP collaboration network has a complex service-driven structure with high status actors whose advice, knowledge, or skills are sought by others, and who function as connectors or bridges across service branches. DISCUSSION: For military scientists, SNA is instrumental in identifying influential individuals, visualizing opportunities for intraservice mentoring, designing responsive policy, and directing career opportunities for novice scientists.

A Protocol to Examine Surgical Team Communication in a Large Military Medical Center.

BACKGROUND: Preventable clinician communication errors are the most frequent root cause of surgical adverse events. Effective communication among surgical team members is an important overall indicator of clinical nursing excellence and is crucial to promote patient safety and reduce healthcare risk. OBJECTIVE: The purpose of this publication is to describe our research protocol, which will comprehensively investigate surgical team communication and surgical team structure. There are two overall study objectives: (a) to characterize the network factors that influence perioperative clinician communication and (b) to identify how team structure shapes communication effectiveness. Specifically, we will study the association among clinician relationships, surgical team familiarity, surgical team size, and communication effectiveness. METHODS: We will use an exploratory, prospective, cross-sectional, network-centric approach using social network analysis to determine how interdependent clinician relationships influence surgical communication patterns. Targeting an 80% response rate, we will use total population sampling to recruit all clinicians (nurses, surgeons, anesthetists, surgical technologists, students, residents) who directly provide surgical care in the operating room at a large military medical center. We will administer an electronic survey to surgical teams at the end of the surgical day to elicit clinician communication assessments and relational preferences. From the survey questions, we will develop six relational networks (interaction, close working relationship, socialization, advice seeking, advice giving, speaking up/voice) and three models that represent communication effectiveness for each participant and team. We will use various statistical methods to characterize the network factors that shape operating room clinician communication and identify how team structure shapes communication effectiveness. RESULTS: This study will start enrolling participants in 2020. DISCUSSION: We are among the first to comprehensively investigate operating room communication using social network analysis. The results of this study will provide valuable insight into nurse collaboration and communication in interprofessional teams, enable a thoughtful analysis of surgical staffing and perioperative team building, and inform future-targeted interventions to improve operating room communication weaknesses.

A Network Analysis of Perioperative Communication Patterns.

To foster teamwork, improve clinical excellence, and promote a culture of safety, perioperative leaders should have a clear understanding of the dynamics that affect clinician communication in the OR. We used social network analysis to characterize the typical OR clinician communication patterns at a military surgery center and determine how clinician relationships influenced individual behavior. We surveyed 50 surgical teams and used the data to develop six relational networks and a clinician communication effectiveness index. The study results showed that communication effectiveness increased in networks in which clinicians reported interacting frequently, having close working relationships, socializing, and seeking advice and providing advice to others. Increases in individual clinician centrality were associated with increased communication effectiveness. Participants rated anesthesia professionals as the most effective communicators, followed by perioperative nurses, surgeons, and surgical technologists. Perioperative leaders should consider surgical team familiarity as a potential option to optimize surgical care and improve communication effectiveness.

Military Surgical Team Communication: Implications for Safety.

INTRODUCTION: Medical error is the third leading cause of death in the United States, contributing to suboptimal care, serious patient injury, and mortality among beneficiaries in the Military Health System. Recent media reports have scrutinized the safety and quality of military healthcare, including surgical complications, infection rates, clinician competence, and a reluctance of leaders to investigate operational processes. Military leaders have aggressively committed to a continuous cycle of process improvement and a culture of safety with the goal to transform the Military Health System into a high-reliability organization. The cornerstone of patient safety is effective clinician communication. Military surgical teams are particularly susceptible to communication error because of potential barriers created by military rank, clinical specialty, and military culture. With an operations tempo requiring the military to continually deploy small, agile surgical teams, effective interpersonal communication among these team members is vital to providing life-saving care on the battlefield. METHODS: The purpose of our exploratory, prospective, cross-sectional study was to examine the association between social distance and interpersonal communication in a military surgical setting. Using social network analysis to map the relationships and structure of interpersonal relations, we developed six networks (interaction frequency, close working relationship, socialization, advice-seeking, advice-giving, and speaking-up/voice) and two models that represented communication effectiveness ratings for each participant. We used the geodesic or network distance as a predictor of team member network position and assessed the relationship of distance to pairwise communication effectiveness with permutation-based quadratic assignment procedures. We hypothesized that the shorter the network geodesic distance between two individuals, the smaller the difference between their communication effectiveness. RESULTS: We administered a network survey to 50 surgical teams comprised of 45 multidisciplinary clinicians with 522 dyadic relationships. There were significant and positive correlations between differences in communication effectiveness and geodesic distances across all five networks for both general (r = 0.819-0.894, P < 0.001 for all correlations) and task-specific (r = 0.729-0.834, P < 0.001 for all correlations) communication. This suggests that a closer network ties between individuals is associated with smaller differences in communication effectiveness. In the quadratic assignment procedures regression model, geodesic distance predicted task-specific communication (ß = 0.056-0.163, P < 0.001 for all networks). Interaction frequency, socialization, and advice-giving had the largest effect on task-specific communication difference. We did not uncover authority gradients that affect speaking-up patterns among surgical clinicians. CONCLUSIONS: The findings have important implications for safety and quality. Stronger connections in the interaction frequency, close working relationship, socialization, and advice networks were associated with smaller differences in communication effectiveness. The ability of team members to communicate clinical information effectively is essential to building a culture of safety and is vital to progress towards high-reliability. The military faces distinct communication challenges because of policies to rotate personnel, the presence of a clear rank structure, and antifraternization regulations. Despite these challenges, overall communication effectiveness in military teams will likely improve by maintaining team consistency, fostering team cohesion, and allowing for frequent interaction both inside and outside of the work environment.

Measuring team science: Associations between a clinical-translational science institute and investigator ego networks.

The National Institutes of Health's Clinical and Translational Science Awards (CTSA) institutes have been created, in part, to have a positive impact on collaboration and team science. This study is the first to examine the associations between a CTSA hub, the Michigan Institute for Clinical and Health Research (MICHR), and investigators' ego networks. We ran cross-sectional and panel models of the associations between consulting with MICHR and the ego network measure of two-step reach (TSR) - that is, colleagues of colleagues reachable in two steps - from a network of 2161 investigators who had co-submitted a grant proposal to an external sponsor in 2006. Our analyses covered the period 2004-2012, although some model specifications covered the shorter time period 2006-2010. Consulting with MICHR had positive associations with the size of and changes in an investigator's TSR across and over time, even controlling for research productivity and organizational affiliation. For example, over the period 2006-2010 an investigator who consulted with MICHR reached 44 more individuals than a non-consulting investigator. This study expands our understanding of the indirect impacts that clinical and translational science institutes have on investigators' scientific networks. This network-based approach might be useful in quantifying the impact of team science initiatives at the university level.

A Social Relations and Networks Perspective of Depressive Symptoms in Older African Americans Relative to Two Other Ethno-racial Groups.

BACKGROUND AND OBJECTIVES: Family ties and role relationships through their effects on exchanges of resources and social support are critical health contexts for older African Americans. We studied the influence of affect-based (positive or negative) social relations and respondent-role network centrality on depressive symptoms in older African Americans compared to two ethno-racial groups, Black Caribbeans and Non-Hispanic Whites. RESEARCH DESIGN AND METHODS: We used data from the multigenerational 2004 National Survey of American Life Family Connections across Generations and Nations Study (NSAL 3-Gen). For respondents aged 50 years or older, we used tie affect (positive or negative) to code family role relations and two-mode (where an entity or thing is connected to a different type of entity, here individuals are connected to role relations) family networks. We used survey linear regressions to probe the independent association of relations and networks on depressive symptoms among older African Americans as compared to Black Caribbeans and Non-Hispanic Whites. RESULTS: Negative and positive relations are significantly associated with depressive symptoms, but there were some ethno-racial differences. For example, the negative Father relation is significantly associated with greater depressive symptoms among African Americans, but not in Black Caribbeans and Non-Hispanic Whites. Negative two-mode networks (connections from individuals to role relations) are significantly associated with depressive symptoms among African Americans and in the two comparison ethno-racial groups, while there is no significant association between positive networks and depressive symptoms. DISCUSSION AND IMPLICATIONS: We found that negative relations had larger effects on depressive symptoms than positive ones, and conversely that negative networks had larger effects than positive networks. Simultaneously modeling social relations and networks could potentially enhance our understanding of the links between social structure, and depressive symptoms among older adults in African American and other ethno-racial minorities.

The architecture of network collective intelligence: correlations between social network structure, spatial layout and prestige outcomes in an office.

A social network represents interactions and knowledge that transcend the intelligence of any of its individual members. In this study, I examine the correlations between this network collective intelligence, spatial layout, and prestige or status outcomes at the individual and team levels in an organization. I propose that spatially influenced social cognition shapes which individuals become members of prestigious teams in organizations, and the prestige perception of teams by others in the organization. Prestige is a pathway to social rank, influence and upward mobility for individuals in organizations. For groups, perceived prestige of work teams is related to how team members identify with the group and with their collaborative behaviours. Prestige enhances a team's survivability and its access to resources. At the individual level, I ran two-stage Heckman sample selection models to examine the correlation between social network position and the number of prestigious projects a person is a member of, contingent on the association between physical space and social ties and networks. At the team level, I used linear regressions to examine the relationship among network structure, spatial proximity and the perceived prestige or innovativeness of a project team. In line with my hypotheses, for individuals there is a significant correlation between physical space and social networks, and contingent on that, between social network positions and the number of prestigious projects that a person is a member of. Also in accordance with my hypotheses, for teams there is a significant correlation between network structure and spatial proximity, and perceived prestige. While cross-sectional, the study findings illustrate the importance of considering the spatial domain in examinations of how network collective intelligence is related to organizational outcomes at the individual and team levels.This article is part of the theme issue 'Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour'.

Effect of a Clinical and Translational Science Award institute on grant funding in a major research university.

INTRODUCTION: Previous studies have examined the impact of Clinical and Translational Science Awards programs on other outcomes, but not on grant seeking. The authors examined the effects on grant seeking of the Michigan Institute for Clinical & Health Research (MICHR), a Clinical and Translational Science Awards institute at the University of Michigan. METHODS: We assessed over 63,000 grant proposals submitted at the University of Michigan in the years 2002-2012 using data from the university and MICHR's Tracking Metrics and Reporting System. We used a retrospective, observational study of the dynamics of grant-seeking success and award funding. Heckman selection models were run to assess MICHR's relationship with a proposal's success (selection), and subsequently the award's size (outcome). Models were run for all proposals and for clinical and translational research (CTR) proposals alone. Other covariates included proposal classification, type of grant award, academic unit, and year. RESULTS: MICHR had a positive and statistically significant relationship with success for both proposal types. For all grants, MICHR was associated with a 29.6% increase in award size. For CTR grants, MICHR had a statistically nonsignificant relationship with award size. CONCLUSIONS: MICHR's infrastructure, created to enable and enhance CTR, has also created positive spillovers for a broader spectrum of research and grant seeking.