↓ Skip to main content

From Particularities to Context: Refining Our Thinking on Illness Narratives

Overview of attention for article published in The AMA Journal of Ethic, March 2017
Altmetric Badge

Mentioned by

news
27 news outlets
blogs
2 blogs
twitter
20 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
69 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
From Particularities to Context: Refining Our Thinking on Illness Narratives
Published in
The AMA Journal of Ethic, March 2017
DOI 10.1001/journalofethics.2017.19.3.msoc1-1703
Pubmed ID
Authors

Annie Le, Kara Miller, Juliet McMullin

Abstract

This paper examines how illness narratives are used in medical education and their implications for clinicians' thinking and care of patients. Ideally, collecting and reading illness narratives can enhance clinicians' sensitivity and contextual thinking. And yet these narratives have become part of institutionalizing cultural competency requirements in ways that tend to favor standardization. Stereotyping and reductionistic thinking can result from these pedagogic approaches and obscure structural inequities. We end by asking how we might best teach and read illness narratives to fulfill the ethical obligations of listening and asking more informative clinical interview questions that can better meet the needs of patients and the community.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 19%
Student > Ph. D. Student 7 10%
Student > Master 7 10%
Student > Postgraduate 5 7%
Student > Doctoral Student 4 6%
Other 16 23%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 24 35%
Nursing and Health Professions 8 12%
Social Sciences 7 10%
Arts and Humanities 3 4%
Psychology 3 4%
Other 6 9%
Unknown 18 26%