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Related Concept Videos

Experimental Designs01:16

Experimental Designs

An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

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:
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...

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Related Experiment Video

Updated: Jun 30, 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

Intervention design, implementation, and evaluation.

Lourdes G Planas1

  • 1Department of Clinical and Administrative Sciences, University of Oklahoma College of Pharmacy, 1110 North Stonewall Avenue, Oklahoma City, OK 73117, USA. lourdes-planas@ouhsc.edu

American Journal of Health-System Pharmacy : AJHP : Official Journal of the American Society of Health-System Pharmacists
|September 18, 2008
PubMed
Summary

This study discusses strategies to improve pharmacy practice-based research interventions using the RE-AIM model. Applying the RE-AIM model enhances intervention reach, effectiveness, adoption, implementation, and maintenance for better research impact.

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Area of Science:

  • Pharmacy Practice-Based Research
  • Intervention Design and Evaluation
  • Translational Science

Background:

  • Challenges in translating clinical research into practice settings hinder intervention effectiveness.
  • Pharmacy practice-based research requires robust strategies for design, implementation, and evaluation.
  • The RE-AIM model offers a framework to address these challenges.

Purpose of the Study:

  • To discuss strategies for improving the design, implementation, and evaluation of interventions in pharmacy practice-based research.
  • To frame these strategies using the RE-AIM model, emphasizing a shift towards real-world effectiveness.
  • To enhance the quality and impact of practice-based research interventions.

Main Methods:

  • Utilizing the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) model as a framework.
  • Describing strategies to optimize each dimension of the RE-AIM model for interventions.
  • Recommending a shift from short-term efficacy to longer-term effectiveness in practice settings.

Main Results:

  • The RE-AIM model provides a structured approach to intervention development and evaluation.
  • Strategies are proposed to enhance intervention reach, effectiveness (including economic and humanistic measures), adoption, implementation fidelity, and maintenance.
  • Focusing on diverse samples and practice settings improves the generalizability and sustainability of interventions.

Conclusions:

  • Application of the RE-AIM model's dimensions can significantly enhance interventions in practice-based research.
  • This framework improves the reach, effectiveness, adoption, implementation, and maintenance of research interventions.
  • Ultimately, the RE-AIM model improves the overall quality and impact of pharmacy practice-based research.