New CauseHealth paper about risk assessment of genetically modified plants

by Elena Rocca

One idea promoted by CauseHealth is that, when evaluating evidence, pre-existing theoretical frameworks count as much as the data. For instance, data from a certain trial assume a particular significance depending on the general background theoretical understanding we have when we interpret them. In this new CauseHealth article, Elena Rocca and Fredrik Andersen show that, when evaluating health risks related to the use of genetically modified plants in agriculture, different ontological starting points play an essential role for the final risk evaluation. (more…)


What does CauseHealth mean by N=1?

by Roger Kerry

N=1” is a slogan used to publicise a core purpose of the CauseHealth project. N=1 refers to a project which is focussed on understanding causally important variables which may exist at an individual level, but which are not necessarily represented or understood through scientific inquiry at a population level. There is an assumption that causal variables are essentially context-sensitive, and as such although population data may by symptomatic of causal association, they do not constitute causation. The project seeks to develop existing scientific methods to try and better understand individual variations. In this sense, N=1 has nothing at all to do with acquiescing to “what the patient wants”, or any other similar fabricated straw-man characterisations of the notion which might emerge during discussions about this notion. (more…)


by Stephen Tyreman, Better Evidence for a Better Healthcare Manifesto

Most healthcare professions claim to seek and treat the causes rather than the symptoms of disease.  This started as a reaction to the medicine of the nineteenth century, which was still influenced by Humoral Theory and Paracelsus.  Treatments were given to counter the symptoms patients were experiencing.  Unfortunately, many of the heroic purgative and cathartic potions given, such as calomel, arsenic, mercury and opium, were more harmful than the diseases they were treating.  It led Hahnemann, for example, to develop homoeopathy on the opposite principle that substances that caused similar symptoms to the condition and given in small doses were more effective – but that’s another debate.  The focus today, apart, perhaps, from in palliative care, is on treating the cause, bypassing symptoms per se, or using them as monitors of healing. (more…)


by Karin Mohn Engebretsen, Better Evidence for a Better Healthcare Manifesto

As a Gestalt psychotherapist, I have seen an increasing number of individuals over the last fifteen years that experience themselves as burned out. This fact has triggered my interest to explore the phenomenon further. Burnout is as a medically unexplained syndrome (MUS). As with other MUS, there is a tendency to assume a narrow perspective to focus on problems related to psyche or soma as pathologies located exclusively within the patient. Research has mainly looked for clear-cut one-to-one relations between cause and effect. These relationships are however difficult to find in complex syndromes. (more…)

Better Evidence for Better Healthcare Manifesto: the CauseHealth Perspective.

The “Better Evidence for Better Healthcare Manifesto” initiative was recently launched by the Oxford Centre for Evidence Based Medicine (CEBM) in collaboration with the British Medical Journal (BMJ).

The manifesto is motivated by a series of problems and blind spots in the implementation of EBM: lack of high quality evidence, systematic research errors, under-reporting of harm, insufficient inclusion of patient’s priorities are some of the issues named by the Manifesto’s promoters. The purpose of the initiative is to spot what could be changed and how, in order to improve the current situation. (more…)

Evidence synthesis in pharmacology

By Elena Rocca

Pharmacology is a complex science that aims to balance harm and benefit of treatments for the individual patient. How should different types of evidence be synthesised in order to optimize this task? Should evidence from randomized trials be prioritized over other evidence, following the EBM model? If not, how can different types of evidence be amalgamated in an alternative way? (more…)