Preprint

Distinguishing between cost and value of psychological interventions: the case of long-versus short-term therapy

This article is a preprint and has not been certified by peer review [What does this mean?].

Author(s) / Creator(s)

Kaiser, Tim
Flückiger, Christoph
Lutz, Wolfgang

Abstract / Description

Background: Psychotherapy has been proven in numerous clinical studies to be an evidence-based intervention for many mental disorders. However, the question of the necessary “dose,” usually quantified as the number of therapy sessions, is a subject of ongoing debate. While proponents of long-term therapy emphasize significant but small additional effects, skeptics point to highly heterogeneous findings and escalating costs. Method: Using realistic assumptions about costs, benefits, and resource constraints of psychotherapy, we calculate the long-run public health impact of longer versus shorter therapies. Specifically, we incorporate training costs, limited availability of trained therapists, and short- versus long-term recovery trajectories. Results: Our simulation shows that, even under optimistic assumptions, short-term therapies lead to more patients in remission. A web application is provided to explore our calculations with customizable parameters and presets based on existing outcome studies. Conclusion: The discussion about the potential benefits of longer therapies should be expanded to not only include clinical outcomes and therapy dose, but also total treatment costs, including training requirements, and therapist availability in cost-effectiveness calculations.

Keyword(s)

psychotherapy simulation cost-effectiveness long-term therapy short-term therapy

Persistent Identifier

Date of first publication

2026-03-31

Publisher

PsychArchives

Citation

  • Author(s) / Creator(s)
    Kaiser, Tim
  • Author(s) / Creator(s)
    Flückiger, Christoph
  • Author(s) / Creator(s)
    Lutz, Wolfgang
  • PsychArchives acquisition timestamp
    2026-03-31T07:14:19Z
  • Made available on
    2026-03-31T07:14:19Z
  • Date of first publication
    2026-03-31
  • Submission date
    2025-01-29
  • Abstract / Description
    Background: Psychotherapy has been proven in numerous clinical studies to be an evidence-based intervention for many mental disorders. However, the question of the necessary “dose,” usually quantified as the number of therapy sessions, is a subject of ongoing debate. While proponents of long-term therapy emphasize significant but small additional effects, skeptics point to highly heterogeneous findings and escalating costs. Method: Using realistic assumptions about costs, benefits, and resource constraints of psychotherapy, we calculate the long-run public health impact of longer versus shorter therapies. Specifically, we incorporate training costs, limited availability of trained therapists, and short- versus long-term recovery trajectories. Results: Our simulation shows that, even under optimistic assumptions, short-term therapies lead to more patients in remission. A web application is provided to explore our calculations with customizable parameters and presets based on existing outcome studies. Conclusion: The discussion about the potential benefits of longer therapies should be expanded to not only include clinical outcomes and therapy dose, but also total treatment costs, including training requirements, and therapist availability in cost-effectiveness calculations.
    en
  • Publication status
    other
  • Review status
    notReviewed
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/17171
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.21798
  • Language of content
    eng
  • Publisher
    PsychArchives
  • Keyword(s)
    psychotherapy
  • Keyword(s)
    simulation
  • Keyword(s)
    cost-effectiveness
  • Keyword(s)
    long-term therapy
  • Keyword(s)
    short-term therapy
  • Dewey Decimal Classification number(s)
    150
  • Title
    Distinguishing between cost and value of psychological interventions: the case of long-versus short-term therapy
    en
  • DRO type
    preprint
  • Leibniz subject classification
    Psychologie