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Operant Procedures for Assessing Behavioral Flexibility in Rats
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Control groups appropriate for behavioral interventions.

William E Whitehead1

  • 1Center for Functional GI and Motility Disorders, University of North Carolina at Chapel Hill, 27599-7080, USA. William_whitehead@med.unc.edu

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|February 24, 2004
PubMed
Summary
This summary is machine-generated.

Clinical trials for behavioral interventions face unique biases. Strategies like blinded outcome assessment and credible, inactive control treatments are crucial for valid results.

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Area of Science:

  • Clinical Psychology
  • Psychotherapy Research
  • Medical Research Methodology

Background:

  • Clinical trials commonly encounter four bias sources: investigator bias, patient expectation, ascertainment bias, and non-specific effects.
  • Standard drug trial controls (active vs. placebo, randomization, blinding) are often insufficient for behavioral interventions.

Purpose of the Study:

  • To identify and address the unique challenges in conducting clinical trials for behavioral and psychological interventions.
  • To propose methods for adequately controlling bias in these types of trials.

Main Methods:

  • Addressing investigator blinding by using independent, blinded outcome assessors.
  • Controlling for doctor-patient relationship variables using multiple, experienced therapists.
  • Developing principles for selecting appropriate control treatments: plausibility and lack of impact on the intervention's presumed mechanism.

Main Results:

  • The inability to blind experimenters can be managed with independent assessment.
  • Doctor-patient effects can be controlled through therapist standardization.
  • Appropriate control treatments must be credible yet inactive regarding the core therapeutic mechanism.

Conclusions:

  • Behavioral intervention trials require specialized methods to mitigate bias effectively.
  • Key strategies include blinded outcome assessment, standardized therapeutic relationships, and carefully selected control interventions.
  • Validating control treatments involves assessing credibility, monitoring presumed mechanisms, and analyzing dropout rates.