Wrongful Medicalization and Epistemic Injustice in Psychiatry

IF 0.7 Q4 ETHICS
Anne-Marie Gagné-Julien
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引用次数: 4

Abstract

In this paper, my goal is to use an epistemic injustice framework to extend an existing normative analysis of over-medicalization to psychiatry and thus draw attention to overlooked injustices. Kaczmarek (2019) has developed a promising bioethical and pragmatic approach to over-medicalization, which consists of four guiding questions covering issues related to the harms and benefits of medicalization. In a nutshell, if we answer “yes” to all proposed questions, then it is a case of over-medicalization. Building on an epistemic injustice framework, I will argue that Kaczmarek’s proposal lacks guidance concerning the procedures through which we are to answer the four questions, and I will import the conceptual resources of epistemic injustice to guide our thinking on these issues. This will lead me to defend more inclusive decision-making procedures regarding medicalization in the DSM. Kaczmarek’s account complemented with an epistemic injustice framework can help us achieve better forms of medicalization. I will then use a contested case of medicalization, the creation of Premenstrual Dysphoric Disorder (PMDD) in the DSM-5 to illustrate how the epistemic injustice framework can help to shed light on these issues and to show its relevance to distinguish good and bad forms of medicalization.
精神病学中的错误医学化与认知不公
在这篇论文中,我的目标是使用一个认识上的不公正框架,将现有的过度医学化的规范分析扩展到精神病学,从而引起人们对被忽视的不公正的关注。Kaczmarek(2019)提出了一种很有前途的生物伦理和务实的方法来解决过度医疗化问题,该方法由四个指导性问题组成,涵盖了与医疗化的危害和益处相关的问题。简而言之,如果我们对所有提出的问题都回答“是”,那么这就是过度医疗化的情况。在认识不公正框架的基础上,我认为Kaczmarek的提案缺乏关于我们回答四个问题的程序的指导,我将引入认识不公正的概念资源来指导我们对这些问题的思考。这将使我为DSM中关于医疗化的更具包容性的决策程序辩护。Kaczmarek的叙述辅以认知不公正框架,可以帮助我们实现更好的医疗化形式。然后,我将使用一个有争议的医学化案例,即DSM-5中月经前指称障碍(PMDD)的产生,来说明认知不公正框架如何有助于阐明这些问题,并显示其与区分好的和坏的医学化形式的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Analytic Philosophy
European Journal of Analytic Philosophy Arts and Humanities-Philosophy
CiteScore
1.50
自引率
0.00%
发文量
4
审稿时长
22 weeks
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