Journal of evaluation in clinical practice
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Miranda Fricker's concept of epistemic injustice has been quite a novel idea in epistemology. It brings something new to the fields of epistemology and ethics. Fricker draws our attention to a distinctive species of injustice, the epistemic injustice, in which someone is specifically wronged in his capacity as a knower. ⋯ We provide a case vignette to show a tendency in the professionals in holding these patients responsible for their action when it can be argued otherwise. We argue that prejudice against the patient with borderline personality disorder where the person is seen as manipulative plays a significant role in the process of epistemic injustice. The suggested manipulative nature of patients with borderline personality disorder leads to professionals to ascribe agency and knowledge where it is not due.
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I critically examine Jan Deckers' position in Animal (De)liberation, where he defends two main views. The first is "qualified moral veganism": Most humans have a duty to abstain from consuming animal products, even if there are circumstances in which doing so is justified. The author argues, on the one hand, from a pan-sentientist view that attributes sentience to all elementary entities and their compounds. ⋯ Deckers' second proposal is that a qualified ban on the consumption of animal products should be enacted. After discarding other alternative strategies, Deckers defends its feasibility relying on data obtained via a series of surveys. Though the argument partly succeeds in developing a coherent account accommodating the author's intuitions, I conclude that his ontological and normative frameworks remain too underdeveloped, his appeal to biological relatedness has implausible implications, and the methodology he uses in defence of his political position is problematic.
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Null hypothesis significance testing is the typical statistical approach in search of the truthfulness of hypotheses. This method does not formally consider the prior credence in the hypothesis, which affects the chances of reaching correct conclusions. When scientifically implausible or empirically weakly supported hypotheses are tested, there is an increased risk that a positive finding in a test in fact is false positive. ⋯ The problems with false positive findings are discussed, and advice is given on how to minimize the problem. The standard of evidence of a hypothesis should depend not only on the results of statistical analyses but also on its a priori support. Positive findings from studies investigating hypotheses with poor theoretical and empirical foundations should be viewed as tentative until the results are replicated and/or the hypothesis gains more empirical evidence supporting it as likely to be true.
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In recent years there has been growing attention to the epistemology of clinical decision-making, but most studies have taken the individual physicians as the central object of analysis. In this paper we argue that knowing in current medical practice has an inherently social character and that imaging plays a mediating role in these practices. We have analyzed clinical decision-making within a medical expert team involved in diagnosis and treatment of patients with pulmonary hypertension (PH), a rare disease requiring multidisciplinary team involvement in diagnosis and management. ⋯ Finally, we argue that images fulfill a mediating role in distributed knowing in 3 ways: first, as enablers or tools in acquiring information; second, as communication facilitators; and third, as pervasively framing the epistemic domain. With this study of clinical decision-making in diagnosis and treatment of PH, we have shown that clinical decision-making is highly social and mediated by technologies. The epistemology of clinical decision-making needs to take social and technological mediation into account.
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Given that more than 30% of healthcare costs are wasted on inappropriate care, suboptimal care is increasingly connected to the quality of medical decisions. It has been argued that personal decisions are the leading cause of death, and 80% of healthcare expenditures result from physicians' decisions. Therefore, improving healthcare necessitates improving medical decisions, ie, making decisions (more) rational. ⋯ We also showed that context is of paramount importance to rationality and that no one model of rationality can possibly fit all contexts. We suggest that in context-poor situations, such as policy decision-making, normative theories based on expected utility informed by best research evidence may provide the optimal approach to medical decision-making, whereas in the context-rich circumstances other types of rationality, informed by human cognitive architecture and driven by intuition and emotions such as the aim to minimize regret, may provide better solution to the problem at hand. The choice of theory under which we operate is important as it determines both policy and our individual decision-making.