In Defense of "Denial": Difficulty Knowing When Beliefs Are Unrealistic and Whether Unrealistic Beliefs Are Bad.

Published

Journal Article

Bioethicists often draw sharp distinctions between hope and states like denial, self-deception, and unrealistic optimism. But what, exactly, is the difference between hope and its more suspect cousins? One common way of drawing the distinction focuses on accuracy of belief about the desired outcome: Hope, though perhaps sometimes misplaced, does not involve inaccuracy in the way that these other states do. Because inaccurate beliefs are thought to compromise informed decision making, bioethicists have considered these states to be ones where intervention is needed either to correct the person's mental state or to persuade the person to behave differently, or even to deny the person certain options (e.g., another round of chemotherapy). In this article, we argue that it is difficult to determine whether a patient is really in denial, self-deceived, or unrealistically optimistic. Moreover, even when we are confident that beliefs are unrealistic, they are not always as harmful as critics contend. As a result, we need to be more permissive in our approach to patients who we believe are unrealistically optimistic, in denial, or self-deceived-that is, unless patients significantly misunderstand their situation and thus make decisions that are clearly bad for them (especially in light of their own values and goals), we should not intervene by trying to change their mental states or persuade them to behave differently, or by paternalistically denying them certain options (e.g., a risky procedure).

Full Text

Duke Authors

Cited Authors

  • Blumenthal-Barby, JS; Ubel, PA

Published Date

  • September 2018

Published In

Volume / Issue

  • 18 / 9

Start / End Page

  • 4 - 15

PubMed ID

  • 30235093

Pubmed Central ID

  • 30235093

Electronic International Standard Serial Number (EISSN)

  • 1536-0075

International Standard Serial Number (ISSN)

  • 1526-5161

Digital Object Identifier (DOI)

  • 10.1080/15265161.2018.1498934

Language

  • eng