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Symptom change prior to treatment discontinuation (dropout) from a naturalistic Veterans Affairs evidence-based psychotherapy clinic for PTSD and depression.

Sadie E LarsenLauren A HamrickKatie B ThomasJonathan D HessingerStephen E MelkaMona KhaledM Christina HoveKelly Maieritsch
Published in: Psychological services (2023)
Dropout or treatment discontinuation from evidence-based psychotherapies (EBPs) has been a concern for clinicians as it is thought that such discontinuation prevents patients from achieving a full course of therapy and obtaining maximum benefit. Recent studies, however, suggest that treatment discontinuation may sometimes be due to symptom improvement. The purpose of the current evaluation was to examine change in self-reported symptoms in participants who completed versus did not complete treatment in a Veterans Affairs outpatient clinic offering EBPs for both depression and posttraumatic stress disorder (PTSD). Data were collected from 128 participants who had at least one treatment session postintake and had been discharged from the clinic. Data were collected on self-reported PTSD and depression symptoms. Of the 128 veterans, 61 completed treatment and 67 did not complete treatment (54.0% noncompletion in PTSD EBPs and 48.7% noncompletion in depression EBPs). Of those who did not complete, 47 were enrolled in a PTSD EBP and 20 in a depression EBP. Of those who did not complete a PTSD EBP, 51.1% had no change in PTSD symptoms prior to treatment discontinuation, whereas 12.8% had a symptom increase, and 27.7% had a symptom decrease. Of those who did not complete a depression EBP, 55% had no change in depression symptoms prior to treatment discontinuation, 15% had a symptom increase, and 30% had a decrease. Overall, results suggest that treatment discontinuation is not as straightforward as it may seem and that prematurely discontinuing an EBP may not necessarily represent treatment failure. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Keyphrases
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  • depressive symptoms
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  • machine learning
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  • big data
  • case control