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Psychotherapy Selection Algorithm (PSA) 1.0: A Work in Progress.

Eric M Plakun1, Meiram Bendat, Susan Lazar

  • 1Eric M. Plakun, MD, is Past Medical Director/CEO, The Austen Riggs Center, Stockbridge, MA; and Founder, American Psychiatric Association Psychotherapy Caucus, Washington, DC. Meiram Bendat, JD, PhD, is Adjunct Professor in Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA. Susan Lazar, MD, is Clinical Professor of Psychiatry, George Washington University School of Medicine, Washington, DC, and Uniformed Services University of the Health Sciences, Bethesda, MD, and Supervising and Training Analyst, Washington Baltimore Psychoanalytic Institute, Washington, DC. Linda Michaels, PsyD, MBA, is Chair and Co-Founder of the Psychotherapy Action Network (PsiAN), Chicago, IL.

Journal of Psychiatric Practice
|May 7, 2026
PubMed
Summary
This summary is machine-generated.

A new Psychotherapy Selection Algorithm (PSA 1.0) aims to reduce bias in choosing treatments. It emphasizes evidence-based selection, including the effectiveness of psychodynamic therapy and psychoanalysis.

Keywords:
biaspsychoanalysispsychodynamic therapypsychotherapytreatment selection

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Area of Science:

  • Psychology
  • Psychiatry
  • Clinical Psychology

Background:

  • Current psychotherapy selection methods may contain biases.
  • There is a need to re-evaluate treatment selection based on empirical evidence.

Purpose of the Study:

  • To introduce a preliminary Psychotherapy Selection Algorithm (PSA 1.0).
  • To mitigate bias in the process of selecting psychotherapies.
  • To incorporate evidence on the effectiveness and efficacy of psychodynamic therapy and psychoanalysis into treatment selection.

Main Methods:

  • Development of a novel algorithm (PSA 1.0) by a specialized workgroup.
  • Focus on evidence-based practices for psychotherapy selection.

Main Results:

  • The algorithm provides a framework for unbiased psychotherapy selection.
  • Highlights the importance of empirical data in treatment choices.

Conclusions:

  • The Psychotherapy Selection Algorithm (PSA 1.0) offers a structured approach to reduce bias.
  • Promotes evidence-based selection, valuing psychodynamic therapy and psychoanalysis.