Methods: We utilized a community-based systems dynamics approach to develop a best-practice model for a ‘supervision hub’ of Latinx-serving clinical supervisors. We conducted focus groups with Latinx-serving clinical supervisors (N=6) and in-depth interviews with agency administrators who have contracted out for external supervision (N=8) in the greater Boston area. Data taken from the focus groups and in-depth interviews were used to create a theory of practice and a dynamic systems map of a university-based ‘hub’ of clinical supervision for Latinx-serving agencies.
Results: We found that the supervision hub was effective in strengthening behavioral health services for Latinx communities with Latinx community-based agencies because it allowed them to engage MSW interns, and for agencies with established clinical services who wanted to bring in additional expertise regarding Latinx populations. Emergent themes included the need for systems-building within organizations who did not previously provide formal mental health services, the financial burden of supervision on grassroots organizations, and the benefit of having an external perspective for supervisees to process dynamics within organizations. Results indicate the need for systemic structures that ensure the supply of clinical supervisors with Latinx expertise and continuous training on innovative clinical guidelines tailored to diverse Latinx communities.
Conclusions and Implications: University-based clinical supervision hubs may be critical to improving the quality of clinical services for Latinx populations by amplifying the reach of professional networks, ensuring the supply of clinical supervisors, and facilitating ongoing dissemination of current best practices. We present a dynamic systems model that can be used as a guide by other regions to enhance the provision of culturally-congruent clinical supervision. The creation of these hubs can play an important role in expanding the availability of relevant and appropriate behavioral health services for Latinx populations, thereby reducing service disparities and improving the overall quality of services.