Login / Signup

Focus is key: Panic-focused interpretations are associated with symptomatic improvement in panic-focused psychodynamic psychotherapy.

John R KeefeNili SolomonovRobert J DerubeisAlexander C PhillipsFredric N BuschJacques P BarberDianne L ChamblessBarbara L Milrod
Published in: Psychotherapy research : journal of the Society for Psychotherapy Research (2018)
Objective: This study examines whether, in panic-focused psychodynamic psychotherapy (PFPP), interpretations of conflicts that underlie anxiety (panic-focused or PF-interpretations) are specifically associated with subsequent panic disorder (PD) symptom improvement, over and above the provision of non-symptom-focused interpretations. Method: Technique use in Sessions 2 and 10 of a 24-session PFPP protocol was assessed for the 65 patients with complete outcome data randomized to PFPP in a two-site trial of psychotherapies for PD. Sessions were rated in 15-min segments for therapists' use of PF-interpretations, non-PF-interpretations, and PF-clarifications. Robust regressions were conducted to examine the relationship between these interventions and symptom change subsequent to the sampled session. Interpersonal problems were examined as a moderator of the relationship of PF-interpretations to symptom change. Results: At Session 10, but not at Session 2, patients who received a higher degree of PF-interpretations experienced greater subsequent improvement in panic symptoms. Non-PF-interpretations were not predictive. Patients with more interpersonal distress benefitted particularly from the use of PF-interpretations at Session 10. Conclusions: By the middle phase of PFPP, panic-focused interpretations may drive subsequent improvements in panic symptoms, especially among patients with higher interpersonal distress. Interpretations of conflict absent a panic focus may not be especially helpful.
Keyphrases
  • high intensity
  • transcranial direct current stimulation
  • randomized controlled trial
  • mental health
  • sleep quality
  • phase iii
  • double blind
  • depressive symptoms
  • open label
  • machine learning