Abstract
Patients with mental disorders (MDs) form a highly heterogeneous group, whose satisfaction with mental health services (MHS) may vary according to different variables. Identifying patient subgroups with similar levels of satisfaction may help identify variables that contribute to satisfaction or dissatisfaction with services. This study established a typology of patient satisfaction with MHS that revealed variables specific to each group. The study included 325 patients with MDs across four health service networks offering integrated and diversified services. Data were collected using five standardized instruments, and participant medical records. A conceptual framework was developed, based on Andersen's Behavioral Model, which integrates socio-demographic, clinical, needs-related and service use variables. Using cluster analysis, a typology of patient satisfaction was created. Analyses yielded four patient clusters: two where levels of satisfaction were relatively high and two with lower levels of satisfaction (range 3.74-4.37). Greater care continuity and higher income related to greater patient satisfaction; whereas co-occurring MDs and substance use disorders (SUD), as well as more numerous and severe needs, characterized dissatisfied patients who were frequent users of MHS. Results highlight the need for continuity of care and adequate socio-economic conditions for increasing patient satisfaction with MHS. Lower levels of satisfaction among patients with common MDs and SUDs suggest the importance of addressing their specific needs to enhance satisfaction and MH recovery.
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