Treatment Network Typologies and the Working Alliance of Clients with Serious Mental Illness

Abstract

The climate and culture of treatment for clients with serious mental illness (SMI) are complex. In this study, we aim to cultivate a deeper understanding of the treatment environment using a network typological approach to measure the local treatment context and assess its implications on the perceived quality of clients’ relationships with their care providers. We use in-depth egocentric network data from clients with SMI in community mental health centers and state psychiatric hospitals from the Indiana Mental Health Services and HIV Risk Study ( N = 417). Clustering analysis identifies five unique and distinct network types: supportive, sparse, diverse, clinical, and treatment-focused. Weighted least squares regressions reveal clients in networks with high amounts of support predict a more trusting working alliance, whereas care-oriented networks predict a less trusting alliance. Our findings underscore the need to consider the local network context in studies of the quality of care provided to people with SMI.