↓ Skip to main content

How Does Cognitive Bias Affect Conversations With Patients About Dietary Supplements?

Overview of attention for article published in The AMA Journal of Ethic, May 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
How Does Cognitive Bias Affect Conversations With Patients About Dietary Supplements?
Published in
The AMA Journal of Ethic, May 2022
DOI 10.1001/amajethics.2022.368
Pubmed ID
Authors

Ila M Harris, Christine C Danner, David J Satin

Abstract

Many patients use dietary supplements but do not inform their clinicians. Some allopathic clinicians' conscious and unconscious cognitive and emotional biases against complementary and alternative medicine can affect whether patients disclose details about dietary supplement use, the quality of communication during clinical encounters, and the information clinicians draw upon to make decisions and recommendations. This article describes 6 cognitive biases that can influence patient-clinician communication and shared decision making about dietary supplements and suggests 6 ways to mitigate biases' negative effects on patient-clinician relationships.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Professor > Associate Professor 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 1 17%
Economics, Econometrics and Finance 1 17%
Unknown 4 67%