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Related Concept Videos

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Related Experiment Video

Updated: May 12, 2026

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
09:53

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Published on: March 13, 2026

Reducing appointment no-shows: going from theory to practice.

Todd Molfenter1

  • 1University of Wisconsin-Madison, Madison, Wisconsin 53706, USA. todd.molfenter@chess.wisc.edu

Substance Use & Misuse
|April 24, 2013
PubMed
Summary
This summary is machine-generated.

Addiction treatment centers significantly cut no-show rates by implementing evidence-based practices. This study identifies effective strategies for improving patient retention and healthcare productivity in addiction services.

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Area of Science:

  • Addiction Medicine
  • Healthcare Management
  • Behavioral Health Services Research

Background:

  • Addiction appointment no-shows negatively affect patient outcomes and healthcare efficiency.
  • Reducing no-show rates is crucial for effective addiction treatment delivery.

Purpose of the Study:

  • To assess the effectiveness of implementing research-informed practices to reduce no-show rates in addiction treatment.
  • To identify preferred and most effective no-show reduction strategies used by treatment organizations.

Main Methods:

  • 67 addiction treatment organizations participated in the Strengthening Treatment Access and Retention program (2007-2010).
  • Organizations implemented practices derived from addiction no-show research and theory.
  • Outpatient no-show rates were tracked before and after intervention.

Main Results:

  • Outpatient no-show rates decreased significantly from 37.4% to 19.9% (p = .000).
  • The study identified specific practices that were preferred by organizations and proved most effective.
  • A significant reduction in no-show rates was achieved through applied research synthesis.

Conclusions:

  • Implementing evidence-based practices can substantially reduce no-show rates in addiction treatment.
  • Findings offer practical insights for improving patient retention and healthcare productivity.
  • Future research should continue to explore and refine strategies for minimizing no-shows in addiction services.