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Graphic Medicine and the Limits of Biostatistics.

Overview of attention for article published in The AMA Journal of Ethic, September 2018
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52 X users
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Title
Graphic Medicine and the Limits of Biostatistics.
Published in
The AMA Journal of Ethic, September 2018
DOI 10.1001/amajethics.2018.897
Pubmed ID
Authors

Sathyaraj Venkatesan, Sweetha Saji

Abstract

Increasing reliance on statistics for treatment and clinical risk assessment not only leads to the reductive interpretation of disease but also obscures ambiguities, distrust, and profound emotions that are important parts of a patient's lived experience of illness and that should be regarded as clinically and ethically relevant. Enabling critique of the limitations of statistics and illustrating their hegemonic impact on the patient's experience of illness, graphic medicine emerges as a democratic platform where marginalized perspectives on illness experiences are vindicated. Through a close reading of two carer narratives, Mom's Cancer (2006) and Janet & Me: An Illustrated Story of Love and Loss (2004), we illustrate how graphic pathographies represent experiential features of illness that are obscured by overreliance on statistical data.

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X Demographics

The data shown below were collected from the profiles of 52 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 24%
Librarian 3 12%
Professor 3 12%
Other 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 10 40%
Readers by discipline Count As %
Nursing and Health Professions 4 16%
Arts and Humanities 3 12%
Linguistics 1 4%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 14 56%