ABSTRACT
Os Centros de Atenção Psicossocial (CAPS) são serviços de saúde mental voltados à reabilitação social e redução das internações para pacientes com transtornos mentais severos e persistentes (TMSP). A principal ferramenta terapêutica ressocializadora é representada pelas atividades multiprofissionais coletivas (AMPC), os grupos e oficinas dos CAPS. Esta dissertação é resultado do trabalho desenvolvido no Mestrado Profissional em Avaliação de Tecnologias em Saúde (ATS) para o Sistema Único de Saúde (SUS) do Grupo Hospitalar Conceição (GHC), o qual teve como objetivo avaliar o grau de adesão à tecnologia das AMPC e identificar fatores associados no CAPS II, vinculado ao Hospital Nossa Senhora da Conceição (HNSC) do GHC, localizado na zona norte da cidade de Porto Alegre.Trata-se de estudo transversal no qual 111 indivíduos foram avaliados... (AU)
Subject(s)
Humans , Male , Female , Unified Health System , Brazil , Public Health , Medication Adherence , Mental Health ServicesABSTRACT
OBJECTIVE: To ascertain factors associated with engagement of patients with alcohol dependence in Alcoholics Anonymous (AA) groups and psychotherapy. METHODS: About 300 hospitalized alcoholics were interviewed at hospitalization and again 3 and 6 months thereafter. Assessment included the administration of standardized instruments. Determinants of engagement in both interventions were assessed through logistic regression analysis. RESULTS: Higher educational level was predictive of engagement in AA after 6 months (OR = 2.19; CI 1.08-4.41). Engagement in psychotherapy after 6 months was related to having a university degree (OR = 3.60; CI 1.6-7.9), to a co-morbid depressive disorder (OR = 3.47; CI 1.8-6.5), to the use of other drugs together with alcohol (OR = 3.08; CI 1.5-6.19), to previous treatment (OR = 2.87; CI 1.29-6.40), and to having a high school degree (OR = 2.44; CI 1.24-4.80). The presence of substance-induced anxiety disorder was associated with non-engagement in psychotherapy (OR = 0.27; CI 0.63-0.003). CONCLUSION: The identification of predictors of engagement is important to guide clinicians in the choice of the treatment strategies that are more likely to be successful.