Avinadav Rubin

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Approximately one in five patients drops out of treatment before its completion. Little is known about consistent predictors of dropout, and most studies focus on patients' demographic characteristics. A mass of information is collected daily at intake in clinical practice. Based on psychodynamic theoretical conceptualizations and accumulative clinical(More)
OBJECTIVE Premature discontinuation of therapy is a widespread problem that hampers the delivery of mental health treatment. A high degree of variability has been found among rates of premature treatment discontinuation, suggesting that rates may differ depending on potential moderators. In the current study, our aim was to identify demographic and(More)
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