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Supporting Health and Medical Decision Making: Findings and Insights from Fuzzy-Trace Theory
Author(s) -
Valerie F. Reyna,
Sarah M. Edelson,
Bridget B. Hayes,
David M. N. Garavito
Publication year - 2022
Publication title -
medical decision making
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 103
eISSN - 1552-681X
pISSN - 0272-989X
DOI - 10.1177/0272989x221105473
Subject(s) - trace (psycholinguistics) , misinformation , psychology , reading (process) , cognitive psychology , gist , mental health , fuzzy logic , perspective (graphical) , preference , decision aids , heuristic , social psychology , computer science , medicine , psychiatry , artificial intelligence , economics , microeconomics , philosophy , linguistics , alternative medicine , computer security , stromal cell , pathology , political science , law
Fuzzy-trace theory (FTT) supports practical approaches to improving health and medicine.FTT differs in important respects from other theories of decision making, which has implications for how to help patients, providers, and health communicators.Gist mental representations emphasize categorical distinctions, reflect understanding in context, and help cue values relevant to health and patient care.Understanding the science behind theory is crucial for evidence-based medicine.

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