Using bar-code technology to capture clinical intervention data in a hospital with a stand-alone pharmacy computer system

The use of barcode technology to capture data on pharmacists' clinical interventions is described.

A self-reported work sampling study in community pharmacy practice

Lack of time to implement pharmaceutical care has been cited as a barrier to the routine provision of this extended patient-care service. Using self-reported work sampling methodology, this study investigated how community pharmacists utilise their time. Pharmacists working in community pharmacies in the Greater Belfast area were found to spend approximately 49% of their time engaged in professional activities, 29% in semi-professional activities and 22% involved in non-professional activities. The activity to which pharmacists devoted the majority of their time was product assembly and labelling, this being a task which can be performed by trained technical staff. Only 9.5% of community pharmacists' time was devoted to counselling patients on their prescription medicines. Wide variation in the amount of time apportioned to each activity was observed between the participating community pharmacists (n=30). Staffing levels within the community pharmacy were found to significantly influence pharmacists' involvement in a number of activities, with pharmacists who worked in pharmacies employing multiple pharmacists devoting more time to the assembly and labelling of products and less time to administrative tasks, non-professional encounters and to miscellaneous professional activities. Pharmacists working in pharmacies with a high prescription turnover were found to devote significantly less time to counselling patients regarding OTC products and in responding to patient symptoms.

The role of proximity in university-business cooperation for innovation

The potential for universities to contribute positively to business innovation has received much attention in recent years. While the determinants of university-business cooperation have been examined extensively, less attention has been given to the mediating influence of proximity in this relationship. The analysis in this paper builds on theUKbusiness innovation survey (2002–2005) by incorporating measures of the university research environment for each of the 16,500 businesses surveyed. These measures allow us to look beyond business-level characteristics as determinants of the geography of university cooperation and account for the character of the local university environment. Measures include the distance from each business to its nearest university, the quality of local university research and the density of the university research environment. The findings suggest that significant differences exist between those businesses that cooperate with local universities and those that cooperate with non-local universities. These differences relate to business size, sales profile, location, absorptive capacity and innovation activity. In addition, we also find that if a business is located close to a research excellent university, cooperation tends to remain local, however, the distance between businesses and the nearest university is not a significant determinant of university-business cooperation and further, the higher the concentration of universities in the business locale, the more likely businesses are to cooperate with non-local universities.