Latent class profile of psychiatric symptoms and treatment utilization in a sample of patients with co-occurring disorders
Rev. bras. psiquiatr
;
39(4): 286-292, Oct.-Dec. 2017. tab, graf
Artículo
en Inglés
| LILACS
| ID: biblio-899384
ABSTRACT
Objective:
To identify symptom-based subgroups within a sample of patients with co-occurring disorders (CODs) and to analyze intersubgroup differences in mental health services utilization.Methods:
Two hundred and fifteen patients with COD from an addiction clinic completed the Symptom Checklist 90-Revised. Subgroups were determined using latent class profile analysis. Services utilization data were collected from electronic records during a 3-year span.Results:
The five-class model obtained the best fit (Bayesian information criteria [BIC] = 3,546.95; adjusted BIC = 3,363.14; bootstrapped likelihood ratio test p < 0.0001). Differences between classes were quantitative, and groups were labeled according to severity mild (26%), mild-moderate (28.8%), moderate (18.6%), moderate-severe (17.2%), and severe (9.3%). A significant time by class interaction was obtained (chi-square [χ2[15]] = 30.05, p = 0.012); mild (χ2[1] = 243.90, p < 0.05), mild-moderate (χ2[1] = 198.03, p < 0.05), and moderate (χ2[1] = 526.77, p < 0.05) classes displayed significantly higher treatment utilization.Conclusion:
The classes with more symptom severity (moderate-severe and severe) displayed lower utilization of services across time when compared to participants belonging to less severe groups. However, as pairwise differences in treatment utilization between classes were not significant between every subgroup, future studies should determine whether subgroup membership predicts other treatment outcomes.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Trastornos Relacionados con Sustancias
/
Trastornos Mentales
/
Servicios de Salud Mental
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
Límite:
Adolescente
/
Adulto
/
Femenino
/
Humanos
/
Masculino
Idioma:
Inglés
Revista:
Rev. bras. psiquiatr
Año:
2017
Tipo del documento:
Artículo
País de afiliación:
México
Institución/País de afiliación:
Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz/MX
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