Contesting that a debate on evidence-based health care has taken place, this article charts three paths to the future: continuing avoidance of debate by proponents of evidence-based medicine (EBM); conflict, which the EBM movement courts and critics have espoused, and dialogue. The last portal allows for integration, which would end the disagreement between EBM and its critics and make a debate unnecessary. In search of integration, I sketch a bridge whose construction requires not compromise but a win- win approach. The (...) bridge is a medicine of meaning (MOM). Consolidating multiple pillars of evidence to unify questions that are not necessarily the same for protagonists and critics of EBM, a MOM contends that the purpose or meaning of medicine is always healing and helping, and each party finds meaning in medicine by contributing to this common purpose in its own distinctive way. (shrink)

Rationale, aims and objectives : Evidence-based medicine (EBM) claims to be based on 'evidence', rather than 'intuition'. However, EBM's fundamental distinction between quantitative 'evidence' and qualitative 'intuition' is not self-evident. The meaning of 'evidence' is unclear and no studies of quality exist to demonstrate the superiority of EBM in health care settings. This paper argues that, despite itself, EBM holds out only the illusion of conclusive scientific rigour for clinical decision making, and that EBM ultimately is unable to fulfil its (...) own structural criteria for 'evidence'. Methods : Our deconstructive analysis of EBM draws on the work of the French philosopher, Jacques Derrida. Deconstruction works in the name of justice to lay bare, to expose what has been hidden from view. In plain language, we deconstruct EBM's paradigm of 'evidence', the randomized controlled trial (RCT), to demonstrate that there cannot be incontrovertible evidence for EBM as such. We argue that EBM therefore 'auto-deconstructs' its own paradigm, and that medical practitioners, policymakers and patients alike ought to be aware of this failure within EBM itself. Results : EBM's strict distinction between admissible evidence (based on RCTs) and other supposedly inadmissible evidence is not itself based on evidence, but rather, on intuition. In other words, according to EBM's own logic, there can be no 'evidentiary' basis for its distinction between admissible and inadmissible evidence. Ultimately, to uphold this fundamental distinction, EBM must seek recourse in (bio)political ideology and an epistemology akin to faith. (shrink)

This paper puts forward the argument that there are various, competing, and antithetical evidence‐based practice (EBP) definitions and acknowledges that the different EBP definitions are based on different epistemological perspectives. However, this is not enough to understand the way in which nurse professionals choose between the various EBP formations and consequently facilitate them in choosing the most appropriate for their needs. Therefore, the current article goes beyond and behind the various EBP epistemologies to identify how individuals choose an epistemology, which (...) consequently will assist our understanding as to how an individual chooses a specific EBP formation. Individuals choose an epistemology on the mere belief that the specific epistemology offers the ideals or ideas of best explaining or interpreting daily reality. These ideals or ideas are termed by science, history, and politics as ideology. Similarly, individual practitioners choose or should choose between the different EBP formations based on their own personal ideology. Consequently, this article proceeds to analyse the various ideologies behind different EBP definitions as to conclude that there are two broad ideologies that inform the various EBP formations, namely the ideology of truth and the ideology of individual emancipation. These two ideologies are analysed and their connections to the various EBP formations are depicted. Eventually, the article concludes that the in‐depth, critical, and intentional analysis by individual nurses of their own ideology will allow them to choose the EBP formation that is most appropriate and fitting for them, and their specific situation. Hence, the conscious analysis of individual ideology becomes the criterion for choosing between competing EBP formations and allows for best evidence to be implemented in practice. Therefore, the best way to teach EBP courses is by facilitating students to analyse their own ideology. (shrink)

The current strategy of searching for an effective treatment for COVID-19 relies mainly on repurposing existing therapies developed to target other diseases. Conflicting results have emerged in regard to the efficacy of several tested compounds but later results were negative. The number of conducted and ongoing trials and the urgent need for a treatment pose the risk that false-positive results will be incorrectly interpreted as evidence for treatments’ efficacy and a ground for drug approval. Our purpose is twofold. First, we (...) show that the number of drug-repurposing trials can explain the false-positive results. Second, we assess the evidence for treatments’ efficacy from the perspective of evidential pluralism and argue that considering mechanistic evidence is particularly needed in cases when the evidence from clinical trials is conflicting or of low quality. Our analysis is an application of the program of Evidence Based Medicine Plus to the drug repurposing trials for COVID. Our study shows that if decision-makers applied EBM+, authorizing the use of ineffective treatments would be less likely. We analyze the example of trials assessing the efficacy of hydroxychloroquine as a treatment for COVID-19 and mechanistic evidence in favor of and against its therapeutic power to draw a lesson for decision-makers and drug agencies on how excessive hypothesis testing can lead to spurious findings and how studying negative mechanistic evidence can be helpful in discriminating genuine from spurious results. (shrink)

This article discusses the role that algorithmic thinking and management play in health care and the kind of exclusions this might create. We argue that evidence‐based medicine relies on research and data to create pathways for patient journeys. Coupled with data‐based algorithmic prediction tools in health care, they establish what could be called health care algorithmics—a mode of management of healthcare that produces forms of algorithmic governmentality. Relying on a critical posthumanist perspective, we show how healthcare algorithmics is contingent on (...) the way authority over bodies is produced and how predictive health care algorithms can reproduce inequalities of the worlds from which they are made, centreing possible futures on existing normativities regulated through algorithmic biopower. In contrast to that, we explore posthuman speculative ethics as a way to challenge understanding of ‘ethics’ and ‘care’ in healthcare algorithmics. We suggest some possible avenues towards working speculative ethics into health care while still being critically attentive to algorithmic modes of management and prediction in health care. (shrink)