Supporting Health and Medical Decision Making: Findings and Insights from Fuzzy-Trace Theory.

Valerie F Reyna, Sarah Edelson, Bridget Hayes, David Garavito
Author Information
  1. Valerie F Reyna: Human Neuroscience Institute and Center for Behavioral Economics and Decision Research, Cornell University, Ithaca, NY, USA. ORCID
  2. Sarah Edelson: Human Neuroscience Institute and Center for Behavioral Economics and Decision Research, Cornell University, Ithaca, NY, USA.
  3. Bridget Hayes: Human Neuroscience Institute and Center for Behavioral Economics and Decision Research, Cornell University, Ithaca, NY, USA. ORCID
  4. David Garavito: Human Neuroscience Institute and Center for Behavioral Economics and Decision Research, Cornell University, Ithaca, NY, USA.

Abstract

HIGHLIGHTS: 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.

Keywords

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Grants

  1. R21 NR016905/NINR NIH HHS
  2. R21 NR018693/NINR NIH HHS

MeSH Term

Clinical Decision-Making
Decision Making
Humans

Word Cloud

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