Despite several decades of debate, the concept of disease remains hotly contested. The debate is typically cast as one between naturalism and normativism, with a hybrid view that combines elements of each staked out in between. In light of a number of widely discussed problems with existing accounts, some theorists argue that the concept of disease is beyond repair and thus recommend eliminating it in a wide range of practical medical contexts. Any attempt to reframe the ‘disease’ discussion should answer (...) the more basic sceptical challenge, and should include a meta-methodological critique guided by our pragmatic expectations of what the disease concept ought to do given that medical diagnosis is woven into a complex network of healthcare institutions. In this paper, we attempt such a reframing, arguing that while prevailing accounts do not suffer from the particular defects that prominent critics have identified, they do suffer from other deficits—and this leads us to propose an amended hybrid view that places objectivist approaches to disease on stronger theoretical footing, and satisfies the institutional-ethicaldesiderataof a concept of disease in human medicine. Nevertheless, we do not advocate a procrustean approach to ‘disease’. Instead, we recommend disease concept pluralism between medical and biological sciences to allow the concept to serve the different epistemic and institutional goals of these respective disciplines. (shrink)

The status of risk factors and disease remains a disputed question in the theory and practice of medicine and healthcare, and so does the related question of delineating disease boundaries. I present a framework based on Bernard Lonergan’s account of emergent probability for differentiating (1) generically distinct levels of systematic function within organisms and between organisms and their environments and (2) the methods of functional, genetic, and statistical investigation. I then argue on this basis that it is possible to understand (...) disease in terms of biological or higher intra-level dysfunction, risk factors—including genetic risk factors—in terms of statistical inter-level conditioning of a given stage or developmental sequence of systematic functioning, and the empirical boundaries of disease in terms of the limits of both functional categorization (from an epistemic standpoint) and upper-level integration of lower-level processes and events (from an ontological standpoint). (shrink)