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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...
Decision Making: Traditional Method01:14

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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.
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Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

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Patient-centered Care01:13

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Related Experiment Video

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E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
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Published on: August 1, 2019

Developing and user-testing Decision boxes to facilitate shared decision making in primary care--a study protocol.

Anik Giguere1, France Legare, Roland Grad

  • 1Research Center of the CHUQ, Saint-Francois d'Assise Hospital, and Department de médecine familliale, University Laval, Quebec City, Canada. anik.giguere.1@ulaval.ca

BMC Medical Informatics and Decision Making
|March 10, 2011
PubMed
Summary
This summary is machine-generated.

Decision boxes summarize health intervention benefits and harms, aiding clinicians in evidence-based practice and shared decision-making with patients. This study develops a framework for their creation and testing.

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Last Updated: Jun 3, 2026

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06:28

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Published on: August 1, 2019

Area of Science:

  • Clinical Practice
  • Health Communication
  • User Experience Research

Background:

  • Applying evidence in clinical practice is challenging for healthcare professionals.
  • Translating complex medical evidence for patients hinders informed decision-making.
  • Decision boxes offer concise summaries of intervention benefits and harms to support clinicians.

Purpose of the Study:

  • Develop a framework for creating effective Decision boxes.
  • Test the value of Decision boxes for healthcare professionals and patients.
  • Enhance evidence-based practice and shared decision-making in clinical encounters.

Main Methods:

  • Develop 10 Decision box prototypes based on risk communication research.
  • Conduct focus groups with family physicians and patients to assess prototypes using the User Experience Model.
  • Analyze qualitative data using a hybrid thematic approach, triangulating findings with existing literature.

Main Results:

  • Qualitative analysis will explore user perceptions of Decision box prototypes.
  • Findings will inform the refinement of 10 Decision boxes.
  • The study will yield insights into optimizing risk communication tools.

Conclusions:

  • This study will produce a robust framework for developing and testing Decision boxes.
  • Decision boxes have the potential to facilitate clinical decision-making for both providers and patients.
  • This research is a foundational step towards implementing new tools for evidence-based practice.