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Related Concept Videos

Decision Making: Traditional Method01:14

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Decision Aid to Technologically Enhance Shared decision making (DATES): study protocol for a randomized controlled

Masahito Jimbo1, Karen Kelly-Blake, Ananda Sen

  • 1Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA. mjimbo@med.umich.edu.

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Summary
This summary is machine-generated.

An interactive decision aid improved colorectal cancer screening adherence by enhancing patient-clinician communication and shared decision-making. This tool clarifies patient preferences and risks, leading to better screening choices.

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Area of Science:

  • Oncology
  • Health Services Research
  • Behavioral Science

Background:

  • Clinicians face challenges in promoting colorectal cancer screening due to competing demands.
  • Decision aids can improve decision quality and shared decision-making, potentially increasing screening rates.
  • Understanding the impact of interactive decision aids on patient-clinician communication is crucial.

Purpose of the Study:

  • To understand how an interactive decision aid (ColoDATES Web) impacts patient-clinician communication and shared decision-making.
  • To assess the effect of eliciting patient risks and preferences on colorectal cancer screening adherence.
  • To investigate the mediators of improved screening adherence using Structural Equation Modeling.

Main Methods:

  • Two-armed, single-blinded randomized controlled trial with 300 patients per arm.
  • Intervention: ColoDATES Web (interactive decision aid); Control: Non-interactive website.
  • Primary outcomes: Screening uptake, decision quality, shared decision-making, and test concordance. Secondary outcome: Causal pathway analysis.

Main Results:

  • The study hypothesizes that ColoDATES Web will improve screening adherence.
  • It is expected to enhance patient behavioral factors and shared decision-making.
  • Results will illuminate the 'black box' of patient-clinician communication in decision aid delivery.

Conclusions:

  • ColoDATES Web is hypothesized to improve colorectal cancer screening adherence.
  • This improvement is expected through enhanced patient factors and shared decision-making.
  • The study will provide novel insights into the mechanisms linking decision aids to patient behavior.