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Predictors of treatment discontinuation during an 18-month multi-site randomized trial of Cognitive Enhancement Therapy for early course schizophrenia.
Wojtalik, Jessica A; Brown, Wilson J; Mesholam-Gately, Raquelle I; Kotwani, Anju; Keshavan, Matcheri S; Eack, Shaun M.
Affiliation
  • Wojtalik JA; Jack, Joseph and Morton Mandel School of Applied Social Sciences, Case Western Reserve University, Cleveland, OH, USA. Electronic address: jaw317@case.edu.
  • Brown WJ; Department of Psychology, School of Humanities and Social Sciences, Pennsylvania State University, The Behrend College, Erie, PA, USA.
  • Mesholam-Gately RI; Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center Division of Public Psychiatry, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
  • Kotwani A; Jack, Joseph and Morton Mandel School of Applied Social Sciences, Case Western Reserve University, Cleveland, OH, USA.
  • Keshavan MS; Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center Division of Public Psychiatry, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
  • Eack SM; School of Social Work, University of Pittsburgh, Pittsburgh, PA, USW; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Psychiatry Res ; 326: 115254, 2023 08.
Article in En | MEDLINE | ID: mdl-37267670
ABSTRACT
Treatment discontinuation during clinical trials in schizophrenia is a critical challenge, especially for longer-term interventions in the early course. This research explored predictors of treatment discontinuation in an outpatient early course schizophrenia sample (N = 102) during an 18-month multi-site trial of Cognitive Enhancement Therapy (n = 58) and Enriched Supportive Therapy (n = 44). Fifty-three (52%) participants discontinued, with no significant difference between the treatment groups in discontinuation rate. Univariate and multivariate binary logistic regression models explored differences in key demographic and cognitive and behavioral outcomes between participants who completed and discontinued treatment. Significant multivariate predictors of discontinuation included IQ (linear) and problem solving (curvilinear). The concave shape of the problem solving prediction demonstrated that initially as scores were increasing the probability of non-completion was increasing. However, after a score of 41 (below average problem solving), the probability of being a non-completer decreased as performance increased. Non-completers had significantly lower IQ scores compared to completers. Post-hoc analyses indicated that participants who discontinued prior to mid-treatment exhibited the greatest intellectual challenges, with comparisons moderate-to-large in strength. IQ and problem solving are likely important factors to assess at pre-treatment in early course schizophrenia trials to identify those most vulnerable to discontinuation.
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Full text: 1 Database: MEDLINE Main subject: Schizophrenia / Cognitive Behavioral Therapy Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Schizophrenia / Cognitive Behavioral Therapy Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2023 Type: Article