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Related Experiment Video

Updated: Jun 6, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Implementation of evidence-based practices: Applying a goal commitment framework.

Ann F Chou1, Thomas E Vaughn, Kimberly D McCoy

  • 1Health Administration and Policy, College of Public Health, University of Oklahoma Health Sciences Center, VA Medical Center, Oklahoma City, USA. ann-chou@ouhsc.edu

Health Care Management Review
|December 16, 2010
PubMed
Summary
This summary is machine-generated.

Implementing evidence-based practices is crucial for reducing inappropriate care. Goal commitment, participation, feedback, and teamwork enhance guideline adherence and improve healthcare delivery.

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Last Updated: Jun 6, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
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The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

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Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
06:45

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

Published on: April 18, 2017

Area of Science:

  • Healthcare Management
  • Implementation Science
  • Clinical Practice Guidelines

Background:

  • Translating research into practice (evidence-based practices) is slow and unpredictable.
  • A lack of theoretical understanding of behavior hinders effective implementation strategies.
  • Improving the implementation of clinical practice guidelines is essential for reducing inappropriate care.

Purpose of the Study:

  • To test the goal commitment framework's ability to explain mechanisms influencing major depressive disorder (MDD) screening guideline implementation.
  • To understand how implementation outcomes affect provider practices in MDD screening.

Main Methods:

  • Utilized data from 2,438 clinicians across 139 Veteran Affairs hospitals.
  • Employed hierarchical generalized linear modeling to assess implementation outcomes (agreement, adherence, knowledge, best practices delivery).
  • Examined the influence of clinician input, teamwork, quality improvement involvement, culture, coordination, and feedback on implementation outcomes.

Main Results:

  • Clinician input, quality improvement involvement, teamwork, and perceived feedback value positively correlated with implementation outcomes.
  • Provider self-reported adherence to guidelines was linked to increased appropriate MDD screening.
  • The goal commitment framework positively predicted key implementation outcomes, enhancing care delivery.

Conclusions:

  • The goal commitment framework effectively identifies factors facilitating implementation.
  • Participation, feedback, and teamwork enhance adherence by providing better information on implementation targets.
  • Improving performance feedback systems and provider participation can drive organizational change and learning.