Inclusivity in Leader Selection: An 8-Step Process to Promote Representation of Women and Racial/Ethnic Minorities in Leadership.

At a systemic level, organizations need to take intentional steps to build inclusion, equity, and diversity at all levels. In accordance with this need, organizations have been catalyzed by national conversations surrounding gender and racial/ethnic discrimination to generate sustainable change that addresses the disenfranchisement of women and racial/ethnic minorities. Although progress toward addressing the systemic issues that perpetuate these inequities has been made in recent years, research indicates that underrepresentation at the leadership level persists in academic medicine. Further, those in more senior roles are more likely to select, sponsor, and/or mentor individuals like themselves, thereby depriving minority populations of experiences directly correlated with career development and advancement. Hence, the authors posit a focus on the characteristics and competencies of a leader along with a structured selection process is an effective intervention to reduce bias and support inclusion by recalibrating the representation of leadership within academic medical centers. To this end, the authors developed a sequential 8-step leader selection process informed by their model of leadership characteristics and competencies. This process includes a policy update, selection of interview panels, training of panelists, screening the candidate pool, structured interview guides, final candidate slates, assessments of final candidates, and development of newly selected leaders. By following this process, the authors' organization has seen an increase in the representation of women and racial/ethnic minority leaders, an increase in employees' favorable perceptions specific to representation, and data indicative of developing and maintaining an internal diverse leadership candidate pipeline. Ultimately, inclusion makes stronger and more resilient organizations. By following a standardized process grounded in leadership characteristics and competencies, academic medical centers can see changes in their leadership that mirror the populations they lead and serve. Using such processes can lead to the kind of systemic change needed to create inclusive environments.

Core conditions of team effectiveness: Development of a survey measuring Hackman's framework.

Leaders and team development practitioners working toward increasing interprofessional team effectiveness frequently need to quickly and accurately determine the extent to which a team possesses the most essential and foundational components required for effective teamwork. While there is no shortage of team theories, there are few freely available, practical, short, and well-developed surveys to measure team functioning across a variety of team types. We developed a 9-item team assessment to fill this gap in the literature, measuring the most fundamental criteria for optimising team functioning, based on Hackman's widely used framework of the foundational conditions for team effectiveness. Reliability and validity of the assessment were investigated through multiple methods, including confirmatory factor analysis and bivariate correlations. Initial psychometric work would appear to support the use of this assessment to measure the three core conditions of team effectiveness. This assessment can be completed by interprofessional team members and their responses can be used to help leaders and team development practitioners focus resources on the most relevant conditions to increase the likelihood of team effectiveness.

An Examination of Burnout Predictors: Understanding the Influence of Job Attitudes and Environment.

Burnout amongst healthcare employees is considered an epidemic; prior research indicates a host of associated negative consequences, though more research is needed to understand the predictors of burnout across healthcare employees. All employees in a cancer-focused academic healthcare institution were invited to participate in a bi-annual online confidential employee survey. A 72% response rate yielded 9979 complete responses. Participants completed demographic items, a validated single-item measure of burnout, and items measuring eight employee job attitudes toward their jobs and organization (agility, development, alignment, leadership, trust, resources, safety, and teamwork). Department-level characteristics, turnover, and vacancy were calculated for group level analyses. A univariate F test revealed differences in burnout level by department type (F (3, 9827) = 54.35, p < 0.05) and post hoc Scheffe's tests showed employees in clinical departments reported more burnout than other departments. Hierarchical multiple regression revealed that employee demographic and job-related variables (including department type) explained 8% of the variance of burnout (F (19, 7880) = 37.95, p < 0.001), and employee job attitudes explained an additional 27% of the variance of burnout (F (8, 7872) = 393.18, p < 0.001). Relative weights analysis at the group level showed that, of the constructs measured, alignment is the strongest predictor of burnout, followed by trust and leadership. The relationships are inverse in nature, such that more alignment is related to less burnout. Turnover and vacancy rates did not predict group level burnout. The results reported here provide evidence supporting a shift in the focus of research and practice from detection to prevention of employee burnout and from individual-focused interventions to organization-wide interventions to prevent burnout.

Retesting personality in employee selection: implications of the context, sample, and setting.

The present study sought to assess when and how actual job applicants change their responses when filling out an unproctored personality selection assessment for a second time. It was predicted feedback would be a key contextual motivator associated with how much applicants change their answers during the second administration. Mediation results showed that individuals receiving feedback that showed a low score on the personality assessment was the reason they did not get the job were more likely to employ faking response strategies in the second testing session, predicting the highest change in scores between the first and second testing sessions. Individuals receiving no feedback and those not experimentally motivated to fake (i.e., a comparison group of students) showed less change in responses across administrations.

The performance management system: applying and evaluating a pay-for-performance initiative.

The clinical operations and programs division at the University of Texas M. D. Anderson Cancer Center undertook an initiative, as part of a new performance management system, to determine the effectiveness in aligning individual performance goals to institutional goals and linking performance to rewards (i.e., distinguishing high performers from low performers). The initiative was completed in two phases--the first involved a pilot group of administrators and managers, and the second encompassed the entire clinical area of the institution. Progress was monitored using a survey specific to the performance management initiative, an institutional employee opinion survey, and employee performance review and merit data. We demonstrated support for both goals in the findings from our performance management survey and for our second goal with the institutional employee opinion survey results. Our correlation analysis of the linkage between performance and merit data provided further evidence that the initiative's implementation affected our goal of better distinguishing high performers from low performers. Although our results indicate that we made significant progress toward meeting our goals, we outlined limitations and implications of our results for other organizations to consider as they embark on their own performance management initiatives. Thinking of performance management as a complete system that encompasses goal alignment, education, communication, and continuous feedback can lead to the recognition of top performers. This recognition is important as organizations try to retain their top talent and improve the performance of all employees in an effort to positively influence the patient experience.

Practice variability and transfer of training: the role of self-efficacy generality.

Practice variability has been shown to enhance transfer of training. The purpose of the present study was to examine the role of self-efficacy generality as a motivational mechanism in explaining the relationship between practice variability and transfer. Undergraduate students (N = 82) were randomly assigned to 1 of 2 training conditions (constant or variable) for a computer decision-making task. Measures of self-efficacy (intensity and generality) and transfer (near and far) were assessed. The results provided support for some of the hypothesized relationships. Specifically, practice variability led to increased self-efficacy generality. Both self-efficacy intensity and generality influenced far transfer performance, although only self-efficacy generality served as a mediator between practice variability and far transfer.