Premature psychotherapy termination in an outpatient treatment program for personality disorders: a survival analysis
Autor: | Evens Villeneuve, Claudia Savard, Sophie Lemelin, Dominick Gamache, Alexandre Côté |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Adult
Male 050103 clinical psychology Multivariate statistics Patient Dropouts Psychotherapist lcsh:RC435-571 Global Assessment of Functioning Personality Disorders Young Adult 03 medical and health sciences 0302 clinical medicine Risk Factors lcsh:Psychiatry Outpatients medicine Humans 0501 psychology and cognitive sciences Survival analysis Retrospective Studies Proportional hazards model 05 social sciences Confounding Univariate medicine.disease Survival Analysis Personality disorders 030227 psychiatry Aggression Psychotherapy Psychiatry and Mental health Clinical Psychology Distress Unemployment Female Psychology Clinical psychology |
Zdroj: | Comprehensive Psychiatry, Vol 80, Iss, Pp 14-23 (2018) |
Popis: | Objective Psychological treatment for patients with personality disorders (PD) is plagued with a high proportion of early dropouts, and attempts to identify risk factors for attrition have generated very few conclusive results. The purpose of the present study is to identify significant predictors of early treatment termination in a long-term psychotherapy program for PD. Methods Data was retrospectively retrieved from 174 files of patients who began long-term psychotherapy in an outpatient treatment program in Quebec City, Canada. Socio-demographic, initial disturbance, and diagnostic variables were considered for prediction, along with a measure specifically designed to identify PD patients at risk of dropping out early from psychotherapy, the Treatment Attrition-Retention Scale for Personality Disorders (TARS-PD). Survival analysis using Cox proportional hazard regression was performed to identify significant predictors. Results Results using univariate Cox proportional hazards regressions revealed that unemployment, Global Assessment of Functioning scores, and recent hetero-aggressive behavior were significant predictors of early dropout in the first six months of therapy. Adjusting for these three confounders, four of the factor scores from the TARS-PD (Narcissism, Secondary gains, Low distress, and Cluster A features) were significantly associated with dropout in univariate Cox proportional hazards regressions. Secondary gains and Narcissism remained significant predictors after entering all five TARS-PD factors in a multivariate Cox proportional hazards regression adjusting for confounders. Conclusions Taking into consideration specific treatment prognosis variables, such as those measured by the TARS-PD, might be more useful for dropout prediction in PD patients in comparison with more general demographic and diagnostic variables. |
Databáze: | OpenAIRE |
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