Cerri, Petrine

Hospital practitioners have a high prevalence of work-related musculoskeletal disorders due to manual patient transfers. Reducing patient transfers can improve safety for staff and patients, especially those with unstable spines. A study at our academic hospital with the Safe TrAnsfer Tray prototype (STAT Tray V1) found transfers could be reduced to the two unavoidable transfers at the beginning and end of care. Surveys from 37 practitioners identified clinical challenges. User feedback informed design requirements for STAT Tray V2. Candidate materials were tested for MRI and CT compatibility, and pressure mapping evaluated padding combinations to reduce pressure-related injuries. STAT Tray V2 was designed for MRI and CT compatibility, current lift systems, and patients ranging from the 5th percentile female to the 95th percentile male while reducing pressure injury risk. Following manufacturing, usability testing will evaluate performance in the Emergency Department, imaging, operating suite, and ICU.

Goal: The purpose of the research is to explore, through the lens of organizational performance and staff satisfaction, the characteristics of administrative leaders working as dyad partners with physician leaders. Methods: All 54 administrative leaders from 71 clinical departments at the three US Mayo Clinic sites were invited to participate in the study. We used an unsupervised cluster analysis machine learning method to group the leaders based on their characteristics, as measured by the 32-dimension Occupational Personality Questionnaire (OPQ 32r), and we used a three-cluster model to explore the relationships between the clusters and the performance outcome. We took the department performance data from the previous year and compared the percentage of departments with the upward changes among the clusters. For staff survey data, we calculated the percentage of departments with scores that were above average among the three clusters for both physician and administrative staff responses. Principal Findings: Analysis of personality data revealed three different clusters. Cluster 1 leaders were caring and democratic, forward-thinking, strategic, optimistic, and trusting of others. Cluster 2 leaders were extremely hardworking and authoritative. Cluster 3 leaders were caring, modest, and rule-following. Cluster 1 leaders showed the best financial performance and sense of belonging among their followers, cluster 2 leaders elicited high engagement from their departments, and cluster 3 leaders encouraged lower burnout among staff members. Practical Applications: From this study, we obtained empirical evidence of administrative leaders’ characteristics that showed positive relationships with financial and staff-satisfaction metrics. The results showed that distinct types of leaders influence administrative staff and physician staff differently and that different situations require different styles of leadership. We can also conclude that implementing robust, scientifically validated tools to assess leadership traits and tendencies can positively affect leadership and organizational performance for healthcare organizations.