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Venkatesan, Sathyaraj and Sweetha Saji. "Graphic Medicine and the Limits of Biostatistics." AMA Journal of Ethics 20. 9 2018. Accessed 15 Nov. 2018. <https://journalofethics ... s-biostatistics/2018-09>. 
Added by: joachim (15/11/2018, 10:28)   Last edited by: joachim (15/11/2018, 10:45)
Resource type: Web Article
Language: en: English
Peer reviewed
DOI: 10.1001/journalofethics.2018.20.2.fred1-1802
BibTeX citation key: Venkatesan2018a
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Categories: General
Keywords: "Janet & Me", "Mom’s Cancer", Autobiography, Fies. Brian, Illness, Mack. Stan, Medicine, USA
Creators: Saji, Venkatesan
Collection: AMA Journal of Ethics
Views: 8/591
Attachments   URLs   https://journalofe ... statistics/2018-09
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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