This paper argues that the medical conception of health as absence of disease is a value-free theoretical notion. Its main elements are biological function and statistical normality, in contrast to various other ideas prominent in the literature on health. Apart from universal environmental injuries, diseases are internal states that depress a functional ability below species-typical levels. Health as freedom from disease is then statistical normality of function, i.e., the ability to perform all typical physiological functions with at least typical efficiency. (...) This conception of health is as value-free as statements of biological function. The view that health is essentially value-laden, held by most writers on the topic, seems to have one of two sources: an assumption that health judgments must be practical judgments about the treatment of patients, or a commitment to "positive" health beyond the absence of disease. I suggest that the assumption is mistaken, the commitment possibly misdescribed. (shrink)

Philosophy and Happiness addresses the need to situate any meaningful discourse about happiness in a wider context of human interests, capacities and circumstances. How is happiness manifested and expressed? Can there be any happiness if no worthy life projects are pursued? How is happiness affected by relationships, illness, or cultural variants? Can it be reduced to preference satisfaction? Is it a temporary feeling or a persistent way of being? Is reflection conducive to happiness? Is mortality necessary for it? These are (...) the questions people ask themselves when they stop and think about how they feel, how their lives are going, and how they would be going if different choices had been made or different values had been prioritized. These are the questions that contributors to this volume begin to answer, adopting different methodologies, among which the analysis of widespread intuitions about imaginary and real-life scenarios, and reflection on the interpretation of the relevant empirical evidence emerging from psychology and economics. (shrink)

The challenges posed by chronic illness have pointed out to epidemiologists the multifactorial complex nature of disease causality. This notion has been referred to as a web of causality. This web extends theoretically beyond risk markers. It includes determinants of emergence/non-emergence of disease. This web of determinants is a form of complex system. Due to its complexity, the determinants within such system are not linked to each others in a linear, predictable manner only. Predictability is possible only on a short-term (...) basis, and unpredictability sets in over the long run. Understanding such a system of determinants calls for articulation and testing of complex models which synthesize our knowledge of multiple determinants at many scales, both biological and otherwise. Given the complexity of this web and existing knowledge about the nonlinearity of such systems, the following question is posed: Can the challenge of studying causality be adequately addressed if emphasis continues to be placed on using tools and methods that are geared towards looking at such system from a linear paradigm? Or is it time to add to the epidemiologic research agenda the notion of nonlinearity and its relevant form of analytical approaches that are being tested in other disciplines? Furthermore, the question posed here applies as well to the study of determinants of health. Addressing determinants of heath adds further complexity to our task. (shrink)

Many existing biomedical vocabulary standards rest on incomplete, inconsistent or confused accounts of basic terms pertaining to diseases, diagnoses, and clinical phenotypes. Here we outline what we believe to be a logically and biologically coherent framework for the representation of such entities and of the relations between them. We defend a view of disease as involving in every case some physical basis within the organism that bears a disposition toward the execution of pathological processes. We present our view in the (...) form of a list of terms and definitions designed to provide a consistent starting point for the representation of both disease and diagnosis in information systems in the future. (shrink)

Currently, any dentist in the UK who is HIV-seropositive must stop treating patients. This is despite the fact that hepatitis B-infected dentists with a low viral load can continue to practise, and the fact that HIV is 100 times less infectious than hepatitis B. Dentists are obliged to treat HIV-positive patients, but are obliged not to treat any patients if they themselves are HIV-positive. Furthermore, prospective dental students are now screened for hepatitis B and C and HIV, and are not (...) allowed to enrol on Bachelor of Dental Surgery degrees if they are infectious carriers of these diseases. -/- This paper will argue that: (i) the current restriction on HIV-positive dentists is unethical, and unfair; (ii) dentists are more likely to contract HIV from patients than vice versa, and this is not reflected by the current system; (iii) the screening of dental students for HIV is also unethical; (iv) the fact that dentists can continue to practise despite hepatitis B infection, but infected prospective students are denied matriculation, is unethical; and (v) that the current Department of Health protocols, as well as being intrinsically unfair, have further unethical effects, such as the waste of valuable resources on ‘lookback’ exercises and the even more damaging loss of present and future dentists. Regulation in this area seems to have been driven by institutional fear of public fear of infection, rather than any scientific evidence or ethical reasoning. (shrink)

The integration of biomedical terminologies is indispensable to the process of information integration. When terminologies are linked merely through the alignment of their leaf terms, however, differences in context and ontological structure are ignored. Making use of the SNAP and SPAN ontologies, we show how three reference domain ontologies can be integrated at a higher level, through what we shall call the OBR framework (for: Ontology of Biomedical Reality). OBR is designed to facilitate inference across the boundaries of domain ontologies (...) in anatomy, physiology and pathology. (shrink)

Chapter 1 Introduction The man was coughing again. Shocked he was as he discovered that his saliva had a reddish taint. Would he have a lung disease after all? Cancer perhaps? Long ago, relatives of his had died from LC, lung cancer.