Unused medicines with potential for misuse or abuse in primary care

To assess the quantity and nature of prescribed medicines with potential for misuse returned to community pharmacies and general practice surgeries. Setting Community pharmacies (n = 51, 85% total) and general practice surgeries (n = 42, 69%) within the boundaries of Eastern Birmingham Primary Care Trust, UK. Method Medicines returned spontaneously by patients to participating sites were collected over eight weeks in May and June 2003. Data were recorded for each medicinal item including: patient sex, recommended International Non-proprietary Name (rINN), strength, form, legal classification, quantity and number of doses per day. Medicines were categorised into BWF therapeutic groups. A 'medicinal item' was defined as the total number of dose units of a medicine of the same form, strength and date of issue, returned for a given patient. Key findings Medicines were returned from 910 patients comprising 3765 medicinal items (2782 (73.9%) prescription-only medicines and 356 (9.5%) controlled drugs). Substantial amounts of unused, prescribed medicines with potential to cause harm or for misuse were returned, with analgesics, psychoactive and antiepileptic agents comprising 19.4% of returned medicinal items. Medicines of note that were returned included paracetamol-containing medicines (16 630 tablets), morphine (56 g), diamorphine (4.3 g), tramadol (2840 tablets and capsules), benzodiazepines (677 tablets) and tricyclic antidepressants (2831 tablets). Conclusions Substantial quantities of prescribed medicines with potential to cause harm or be misused are routinely present in the community. The management of these unused medicines, and in particular controlled drugs, Is currently inadequate and further work is required to identify the legislative and patient-centred processes required to minimise the potential for these medicines to be misused or cause harm. © 2007 The Authors.

A semantic modelling approach to knowledge based statistical software

The topic of this thesis is the development of knowledge based statistical software. The shortcomings of conventional statistical packages are discussed to illustrate the need to develop software which is able to exhibit a greater degree of statistical expertise, thereby reducing the misuse of statistical methods by those not well versed in the art of statistical analysis. Some of the issues involved in the development of knowledge based software are presented and a review is given of some of the systems that have been developed so far. The majority of these have moved away from conventional architectures by adopting what can be termed an expert systems approach. The thesis then proposes an approach which is based upon the concept of semantic modelling. By representing some of the semantic meaning of data, it is conceived that a system could examine a request to apply a statistical technique and check if the use of the chosen technique was semantically sound, i.e. will the results obtained be meaningful. Current systems, in contrast, can only perform what can be considered as syntactic checks. The prototype system that has been implemented to explore the feasibility of such an approach is presented, the system has been designed as an enhanced variant of a conventional style statistical package. This involved developing a semantic data model to represent some of the statistically relevant knowledge about data and identifying sets of requirements that should be met for the application of the statistical techniques to be valid. Those areas of statistics covered in the prototype are measures of association and tests of location.

Low level of cross-resistance between triclosan and antibiotics in Escherichia coli K-12 and E. coli O55 compared to E-coli O157

Misuse of biocides has encouraged the emergence of resistance and cross-resistance in certain strains. This study investigated resistance of triclosan-adapted Escherichia coli K-12 and E. coli O55 to antimicrobial agents and compared these to E. coli O157:H7. Cross-resistance in E. coli K-12 and E. coli O55 was observed however to a lesser extent than in E. coli O157:H7. Triclosan-adapted E. coli K-12 demonstrated cross-resistance to chloramphenicol, whereas triclosan-adapted E. coli O55 exhibited resistance to trimethoprim. In comparison, E. coli O157:H7 was resistant to chloramphenicol, tetracycline, amoxicillin, amoxicillin/clavulanic acid, trimethoprim, benzalkonium chloride and chlorohexidine suggesting strain specific rather than general resistance mechanisms. © 2004 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved.