Social Dynamics of Advice-Seeking: A Network Analysis of Two Residency Programs

Abstract

Phenomenon: Residents interact with their peers and supervisors to ask for advice in response to complicated situations occurring during patient care. To provide a deeper understanding of workplace learning, this study explores the structure and dynamics of advice-seeking networks in two residency programs. Approach: We conducted a survey-based social network study. To develop the survey, we conducted focus group discussions and identified three main categories of advice: factual knowledge, clinical reasoning, and procedural skills. We invited a total of 49 emergency medicine and psychiatry residents who had completed at least six months of their training, to nominate their supervisors and peer residents, as their sources of advice, from a roster. Participants identified the number of occasions during the previous month that they turned to each person to seek advice regarding the three broad categories. We calculated the density, centrality, and reciprocity measures for each advice category at each department. Findings: The response rates were 100% (n = 21) and 85.7% (n = 24) in the emergency medicine and psychiatry departments, respectively. The advice network of emergency medicine residents was denser, less hierarchical, and less reciprocated compared to the psychiatry residents’ network. In both departments, PGY-1s were the top advice-seekers, who turned to PGY-2s, PGY-3s, and supervisors for advice. The "procedural skills" network had the lowest density in both departments. There was less overlap in the sources of advice for different advice types in the psychiatry department, implying more selectivity of sources. Insights: Complex social structures and dynamics among residents vary by discipline and level of seniority. Program directors can develop tailored educational interventions informed by their departments’ specific network patterns to promote a timely and effective advice-seeking culture which in turn, could lead to optimally informed patient care.