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Related Concept Videos

Community Based Intervention01:30

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
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Central to the success of community-based interventions is the...
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Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
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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.
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Related Experiment Video

Updated: May 7, 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

Published on: February 19, 2021

Adapting research-tested computerized tailored interventions for broader dissemination and implementation.

Cynthia Vinson1, Timothy Bickmore, David Farrell

  • 1Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD USA.

Translational Behavioral Medicine
|September 28, 2013
PubMed
Summary

Adapting computerized tailored interventions (CTI) requires significant effort due to technical and organizational barriers. Future CTI development should prioritize early design considerations for dissemination and reuse to overcome these challenges.

Keywords:
ComputerizedDisseminationEvidence-basedImplementationInterventionsResearch-testedTailored

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Last Updated: May 7, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
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Published on: June 20, 2020

Area of Science:

  • Digital Health
  • Health Behavior Change
  • Intervention Science

Background:

  • Computerized tailored interventions (CTI) are valuable tools for health promotion.
  • Existing CTI programs often require substantial adaptation for new applications.
  • Current development practices frequently involve creating new CTI from scratch, limiting reusability.

Purpose of the Study:

  • To examine the process and implications of adapting legacy CTI programs.
  • To identify barriers hindering the dissemination and implementation of CTI.
  • To inform future CTI development for enhanced reusability and wider reach.

Main Methods:

  • Discussion of adaptation processes for computerized tailored interventions.
  • Analysis of technical, organizational, and content-related barriers.
  • Consideration of strategies for early-stage design to facilitate dissemination.

Main Results:

  • Significant technical and organizational challenges impede the adaptation and reuse of CTI.
  • Minimal software or content reuse occurs even with functional overlaps.
  • Developing new CTI from scratch remains a common, inefficient practice.

Conclusions:

  • Early consideration of dissemination and reuse in the design phase is crucial for CTI.
  • Addressing adaptation barriers can improve the efficiency of CTI development and implementation.
  • Evidence-based CTI require strategic planning for successful adaptation and wider public health impact.