Application of a Model of Workforce Resilience to the Education Workforce: Expanding Opportunities for Support.

The current study analyzed 502 responses from members of the education workforce on the Resilience at Work (RAW) scale and other measures of health and job satisfaction as part of an initiative offering training and technical assistance to support student and staff well-being. A latent profile analysis using scores on components of the RAW identified three resilience profiles: lower, moderate, and higher capacities for resilience. Profiles were differentiated across components related to resilience capacity including alignment of work and personal values, level of social support, and ability to manage stress. Differences between profiles were observed across days of poor physical health, days of poor mental health, days of activity restriction, general health rating, and domains of burnout, compassion satisfaction, and secondary traumatic stress. These findings reinforce calls to support the education workforce through changes that allow access to meaningful work, an evaluation of demands including workload, relevant training on emotional wellness, positive experiences, connections with others, and stress management.

Advancing Mental Health Screening in Schools: Innovative, Field-Tested Practices and Observed Trends During a 15-Month Learning Collaborative.

Schools are well positioned to facilitate early identification and intervention for youth with emerging mental health needs through universal mental health screening. Early identification of mental health concerns via screening can improve long-term student development and success, but schools face logistical challenges and lack of pragmatic guidance to develop local screening policies and practices. This study summarizes mental health screening practices tested by six school districts participating in a 15-month learning collaborative. Qualitative analysis of 42 Plan-Do-Study-Act cycles revealed that districts tested quality improvement changes across seven screening practice areas, with all teams conducting at least one test to: 1) build a foundation; and 2) identify resources, logistics and administration processes. Quantitative data indicated that the average percentage of total students screened increased from 0% to 22% (range = 270 - 4,850 students screened at follow-up). Together, these results demonstrate how school districts not currently engaged in mental health screening can apply small, specific tests of change to develop a locally-tailored, practical and scalable process to screen for student mental health concerns. Lessons learned are provided to inform future directions for school-based teams.