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Related Concept Videos

Nursing Implementation01:15

Nursing Implementation

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Implementation is the execution of the nursing care plan developed during the planning phase.
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Group Design02:01

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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...
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Several factors are considered while creating a patient's care plan. Motivation is a factor in improving communication, and patients often require encouragement to try different approaches involving significant change. It is essential to involve the patient and family in decisions about the plan of care to determine whether the suggested methods are acceptable. Consider meeting critical comfort and safety needs before introducing new communication methods and techniques. Allow adequate time...
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Design Example: Application of Archimedes' Principle01:11

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Archimedes' principle is fundamental in analyzing the buoyant force and stability of floating bodies. In this example, a wooden block with a rectangular section floats in seawater. Based on the block's dimensions, its specific gravity and the specific weight of seawater are used to find the volume of water displaced and the center of buoyancy.
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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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Related Experiment Video

Updated: Jan 25, 2026

Designing and Implementing Nervous System Simulations on LEGO Robots
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A novel counterbalanced implementation study design: methodological description and application to implementation

Mitchell N Sarkies1,2,3, Elizabeth H Skinner4, Kelly-Ann Bowles5

  • 1School of Primary and Allied Health Care, Monash University, Building G Peninsula Campus, McMahons Road, Frankston, Victoria, 3199, Australia. mitchell.sarkies@monash.edu.

Implementation Science : IS
|May 4, 2019
PubMed
Summary
This summary is machine-generated.

A novel counterbalanced design enhances implementation research by testing strategies across different health contexts, preventing contamination and improving evidence application in clinical practice.

Keywords:
ContextCounterbalancedCrossoverDesignImplementationMethodRandomised controlled trialResearchStrategyStudy

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Area of Science:

  • Implementation science
  • Clinical practice research
  • Health services research

Background:

  • Traditional research methods face challenges in implementation settings, hindering the application of new evidence.
  • Randomized controlled trials may be impractical for implementation due to readiness variations and small sample sizes.
  • Within-cluster designs risk contamination in implementation studies.

Purpose of the Study:

  • To propose and describe the novel application of a counterbalanced design for implementation research.
  • To address the limitations of traditional designs in implementation settings, particularly contamination.
  • To provide a robust methodology for evaluating implementation strategies across diverse health contexts.

Main Methods:

  • A counterbalanced implementation study evaluates an implementation strategy across multiple health contexts.
  • Each cluster receives one strategy within a specific context, avoiding overburdening and providing a control.
  • Concurrent delivery of strategy levels across different health contexts prevents contamination.

Main Results:

  • A hypothetical study demonstrates comparing 'video-based' versus 'written-based' implementation strategies.
  • The strategies are applied to community-acquired pneumonia and nutrition in critically ill patients.
  • The design facilitates direct comparison of implementation strategies within distinct health contexts.

Conclusions:

  • The counterbalanced implementation design offers a promising model for research.
  • It enables concurrent investigation of implementation strategy success across multiple health contexts.
  • This design optimizes the evaluation of evidence-based practice in diverse clinical settings.