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Improving Shared Decision-Making Using Cognitive Effort-Optimization

Armin Darvishzadeh Sayadi1, Karim Keshavjee1,2, Helen Monkman2

  • 1Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.

Studies in Health Technology and Informatics
|May 25, 2022
PubMed

Insights

Diabetes Prevention Programs (DPPs) help prevent type 2 diabetes (T2D). A new digital tool aims to reduce cognitive effort, making it easier for at-risk individuals to participate and adopt healthy lifestyles.

Area of Science:

  • Health behavior change
  • Digital health interventions
  • Diabetes prevention

Background:

  • Diabetes Prevention Programs (DPPs) are effective in preventing or delaying type 2 diabetes (T2D).
  • Limited participation in DPPs is a significant barrier to widespread T2D prevention.
  • High cognitive effort is required to understand risks, biomarkers, and necessary actions for T2D prevention, hindering engagement.

Purpose of the Study:

  • To design and develop a prototype digital tool to reduce cognitive effort for individuals at risk of T2D.
  • To leverage the effort-optimized intervention framework to enhance engagement with T2D prevention strategies.

Main Methods:

  • Development of a prototype digital tool based on the effort-optimized intervention framework.
  • Focus on decreasing the cognitive load associated with understanding T2D risks and necessary lifestyle modifications.

Main Results:

  • The prototype digital tool was successfully designed and developed.
  • The tool aims to simplify information and reduce cognitive burden for users at risk of T2D.

Conclusions:

  • Reducing cognitive effort may improve participation and adherence to T2D prevention programs.
  • Digital tools offer a promising approach to overcome engagement barriers in diabetes prevention.
  • Further research is needed to evaluate the effectiveness of this effort-optimized digital tool.
Keywords:
Effort-Optimized Intervention FrameworkShared Decision-Making

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