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Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Framing Effects03:26

Framing Effects

Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in different ways based on the...
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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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Decision Making: Traditional Method

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Methods of Documentation V: CBE01:23

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Related Experiment Videos

Evidence and Value: Impact on DEcisionMaking--the EVIDEM framework and potential applications.

Mireille M Goetghebeur1, Monika Wagner, Hanane Khoury

  • 1BioMedCom Consultants Inc, 1405 Transcanada Highway, Suite 310, Dorval, Québec H9P 2V9, Canada. mireille_goetghebeur@biomedcom.org

BMC Health Services Research
|December 24, 2008
PubMed
Summary

This study introduces the EVIDEM framework to improve healthcare decision-making. It systematically assesses evidence and values, promoting transparency and efficiency for all stakeholders.

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Area of Science:

  • Health Services Research
  • Decision Analysis
  • Evidence-Based Practice

Background:

  • Healthcare decision-making is complex, involving diverse evidence and value judgments.
  • Existing processes often lack structured support for deliberation, evidence access, and decision communication.

Purpose of the Study:

  • To develop a practical framework, EVIDEM, to enhance healthcare decision-making.
  • To support deliberation, evidence access, and communication of decisions.

Main Methods:

  • Conducted extensive literature and global decision-making process analyses.
  • Identified needs and methodologies to support decision-making.
  • Developed the EVIDEM framework based on these findings.

Main Results:

  • Created a seven-module framework adaptable over an intervention's lifecycle.
  • Developed a multicriteria decision analysis (MCDA) Value Matrix (VM) with 15 quantifiable components.
  • Designed a Quality Matrix for evidence assessment and an integrated system for data analysis and validation.

Conclusions:

  • The EVIDEM framework fosters transparent and efficient healthcare decision-making.
  • It provides a collaborative platform for local, national, and international stakeholders.
  • Further validation is needed to realize the framework's full potential.