Issues in the epidemiology and population-based screening of primary angle-closure glaucoma

Among Caucasians, it is well known that 75-95% of primary glaucoma is due to open-angle glaucoma (POAG), with angle-closure (PACG) comprising only a very small minority of cases. These figures are reversed among other groups such as Asians and Eskimos, where PACG makes up 80-90% of primary glaucoma. Among Eskimos, the prevalence of PACG has been reported as 2-8%, as compared to 0.1% among Caucasians. It appears that a population tendency toward shallow anterior chambers may explain the excess burden of PACG morbidity. Among Asians, the prevalence of PACG is intermediate between Caucasians and Eskimos. Existing biometrical data do not show a clear tendency toward shallower anterior chambers among Asians. PACG may be screened for on a population basis by means of various techniques that estimate axial or limbal anterior chamber depth, measure intraocular pressure, or evaluate the optic disc or visual fields. Demographic information and medical and family history will also be of great importance in screening for PACG in large populations. Groups at increased risk for the disease include women, individuals over 50, first-degree relatives of PACG probands, and hyperopes.

The perceived impact of interprofessional information sharing on young people about their sexual health care

This article presents the results from an analysis of data from service providers and young adults who were formerly in state care about how information about the sexual health of young people in state care is managed. In particular, the analysis focuses on the perceived impact of information sharing between professionals on young people. Twenty-two service providers from a range of professions including social work, nursing and psychology, and 19 young people aged 18–22 years who were formerly in state care participated in the study. A qualitative approach was employed in which participants were interviewed in depth and data were analysed using modified analytical induction (Bogdan & Biklen, 2007). Findings suggest that within the care system in which service provider participants worked it was standard practice that sensitive information about a young person’s sexual health would be shared across team members, even where there appeared to be no child protection issues. However, the accounts of the young people indicated that they experienced the sharing of information in this way as an invasion of their privacy. An unintended outcome of a high level of information sharing within teams is that the privacy of the young person in care is compromised in a way that is not likely to arise in the case of young people who are not in care. This may deter young people from availing themselves of the sexual health services.

The basic principles of uncertain information fusion. An organised review of merging rules in different representation frameworks.

We propose and advocate basic principles for the fusion of incomplete or uncertain information items, that should apply regardless of the formalism adopted for representing pieces of information coming from several sources. This formalism can be based on sets, logic, partial orders, possibility theory, belief functions or imprecise probabilities. We propose a general notion of information item representing incomplete or uncertain information about the values of an entity of interest. It is supposed to rank such values in terms of relative plausibility, and explicitly point out impossible values. Basic issues affecting the results of the fusion process, such as relative information content and consistency of information items, as well as their mutual consistency, are discussed. For each representation setting, we present fusion rules that obey our principles, and compare them to postulates specific to the representation proposed in the past. In the crudest (Boolean) representation setting (using a set of possible values), we show that the understanding of the set in terms of most plausible values, or in terms of non-impossible ones matters for choosing a relevant fusion rule. Especially, in the latter case our principles justify the method of maximal consistent subsets, while the former is related to the fusion of logical bases. Then we consider several formal settings for incomplete or uncertain information items, where our postulates are instantiated: plausibility orderings, qualitative and quantitative possibility distributions, belief functions and convex sets of probabilities. The aim of this paper is to provide a unified picture of fusion rules across various uncertainty representation settings.