Improving Shared Decision-Making Using Cognitive Effort-Optimization

Armin Darvishzadeh Sayadi; Karim Keshavjee; Helen Monkman; Aziz Guergachi; Alessia Paglialonga

doi:10.3233/SHTI220561

Improving Shared Decision-Making Using Cognitive Effort-Optimization

Stud Health Technol Inform. 2022 May 25:294:703-704. doi: 10.3233/SHTI220561.

Authors

Armin Darvishzadeh Sayadi¹, Karim Keshavjee^{1

2}, Helen Monkman², Aziz Guergachi^{3

4}, Alessia Paglialonga⁵

Affiliations

¹ Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
² School of Health Information Science, University of Victoria, Victoria, Canada.
³ Ted Rogers School of Management, Ryerson University, Toronto, Canada.
⁴ Department of Mathematics and Statistics, York University, Toronto, Canada.
⁵ National Research Council of Italy (CNR), Institute of Electronics, Information Engineering and Telecommunications (IEIIT), Milan, Italy.

PMID: 35612182
DOI: 10.3233/SHTI220561

Abstract

Diabetes Prevention Programs (DPPs) can prevent or delay type 2 diabetes (T2D). However, the participation rates in DPPs have been limited. Many individuals at risk of developing diabetes have difficulties making healthy choices because of the cognitive effort required to understand the risks, the role of biomarkers, the consequences of inaction and the actions required to delay or avoid development of T2D. We report on the design and development of a prototype digital tool that decreases cognitive effort for people at risk of developing T2D using the effort-optimized intervention framework.

Keywords: Effort-Optimized Intervention Framework; Shared Decision-Making.

MeSH terms

Cognition
Decision Making
Diabetes Mellitus, Type 2* / prevention & control
Humans