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Related Concept Videos

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Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
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Actuarial Approach

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Related Experiment Video

Updated: May 27, 2026

Auricular Point Acupressure Therapy: A Safe and Effective Treatment for Postsurgical Abortion Recovery
07:28

Auricular Point Acupressure Therapy: A Safe and Effective Treatment for Postsurgical Abortion Recovery

Published on: February 3, 2026

Using clinically significant change to identify premature termination.

Joshua K Swift1, Jennifer Callahan, Jason C Levine

  • 1Department of Psychology, Oklahoma State University.

Psychotherapy (Chicago, Ill.)
|November 30, 2011
PubMed
Summary
This summary is machine-generated.

Defining treatment dropout using clinically significant change (CSC) is crucial. This method identified a 77% dropout rate, differing significantly from other common definitions, highlighting issues in accurately classifying patient recovery.

Related Experiment Videos

Last Updated: May 27, 2026

Auricular Point Acupressure Therapy: A Safe and Effective Treatment for Postsurgical Abortion Recovery
07:28

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Published on: February 3, 2026

Area of Science:

  • Psychology
  • Clinical Psychology
  • Psychotherapy Research

Background:

  • Inconsistent operationalization of treatment dropout hinders research.
  • Existing definitions lack consensus, impacting study validity.
  • Accurate classification of treatment discontinuation is essential for evaluating therapeutic effectiveness.

Purpose of the Study:

  • To reintroduce and evaluate the clinically significant change (CSC) method for operationalizing treatment dropout.
  • To compare the CSC definition with other popular dropout classification systems.
  • To analyze the discrepancies between CSC and other methods in classifying treatment completers and dropouts.

Main Methods:

  • Utilized a university-based training clinic sample.
  • Applied the clinically significant change (CSC) criteria for dropout classification.
  • Compared CSC results with classifications from median split, intake only, missed appointment, and therapist judgment methods.

Main Results:

  • The CSC definition identified a 77% treatment dropout rate in the sample.
  • Low agreement was observed between CSC and other popular dropout definitions.
  • Other definitions frequently misclassified clients, labeling recovered patients as dropouts or non-recovered patients as completers.

Conclusions:

  • The clinically significant change (CSC) method offers a more precise operationalization of treatment dropout.
  • Popular dropout definitions may lead to inaccurate conclusions about treatment outcomes.
  • Further research should adopt standardized and clinically meaningful definitions for treatment dropout.