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Predicting optimal treatment outcomes using the Personalized Advantage Index for patients with persistent somatic symptoms.

Abstract
Objective: Because individual patients with persistent somatic symptoms (PSS) respond differently to treatments, a better understanding of the factors that predict therapy outcomes are of high importance. Aggregating a wide selection of information into the treatment-decision process is a challenge for clinicians. Using the Personalized Advantage Index (PAI) this study aims to deal with this. Methods: Data from a multicentre RCT comparing CBT (N = 128) versus CBT enriched with emotion regulation training (ENCERT) (N = 126) for patients diagnosed with somatic symptom disorder were used to identify based on two machine learning approaches predictors of therapy outcomes. The identified predictors were used to calculate the PAI. Results: Five treatment unspecific predictors (pre-treatment somatic symptom severity, depression, symptom disability, health-related quality of life, age) and five treatment specific moderators (global functioning, early childhood traumatic events, gender, health anxiety, emotion regulation skills) were identified. Individuals assigned to their PAI-indicated optimal treatment had significantly lower somatic symptom severity at the end of therapy compared to those randomised to their non-optimal condition. Conclusion: Allowing patients to choose a personalised treatment seems to be meaningful. This could help to improve outcomes for PSS and reduce its high costs to the health care system.
AuthorsKatharina Senger, Annette Schröder, Maria Kleinstäuber, Julian A Rubel, Winfried Rief, Jens Heider
JournalPsychotherapy research : journal of the Society for Psychotherapy Research (Psychother Res) Vol. 32 Issue 2 Pg. 165-178 (02 2022) ISSN: 1468-4381 [Electronic] England
PMID33910487 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Topics
  • Anxiety
  • Child, Preschool
  • Cognitive Behavioral Therapy
  • Humans
  • Medically Unexplained Symptoms
  • Quality of Life
  • Treatment Outcome

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