Amy Van

Background: Debates over legalisation of physician-assisted suicide or euthanasia often warn of a “slippery slope”, predicting abuse of people in vulnerable groups. To assess this concern, the authors examined data from Oregon and the Netherlands, the two principal jurisdictions in which physician-assisted dying is legal and data have been collected over a substantial period.Methods: The data from Oregon comprised all annual and cumulative Department of Human Services reports 1998–2006 and three independent studies; the data from the Netherlands comprised all four government-commissioned nationwide studies of end-of-life decision making and specialised studies. Evidence of any disproportionate impact on 10 groups of potentially vulnerable patients was sought.Results: Rates of assisted dying in Oregon and in the Netherlands showed no evidence of heightened risk for the elderly, women, the uninsured , people with low educational status, the poor, the physically disabled or chronically ill, minors, people with psychiatric illnesses including depression, or racial or ethnic minorities, compared with background populations. The only group with a heightened risk was people with AIDS. While extralegal cases were not the focus of this study, none have been uncovered in Oregon; among extralegal cases in the Netherlands, there was no evidence of higher rates in vulnerable groups.Conclusions: Where assisted dying is already legal, there is no current evidence for the claim that legalised PAS or euthanasia will have disproportionate impact on patients in vulnerable groups. Those who received physician-assisted dying in the jurisdictions studied appeared to enjoy comparative social, economic, educational, professional and other privileges

Statistical properties in the visual environment can be used to improve performance on visual working memory tasks. The current study examined the ability to incidentally learn that a change is more likely to occur to a particular feature dimension and use this information to improve change detection performance for that dimension . Participants completed a change detection task in which one change type was more probable than others. Change probability effects were found for color and shape changes, but not location changes, and intentional strategies did not improve the effect. Furthermore, the change probability effect developed and adapted to new probability information quickly. Finally, in some conditions, an improvement in change detection performance for a probable change led to an impairment in change detection for improbable changes