The District Nursing Clinical Error Reduction Programme

The District Nursing Clinical Error Reduction (DANCER) Programme was initiated in NHS Islington following an increase in the number of reported medication errors. The objectives were to reduce the actual degree of harm and the potential risk of harm associated with medication errors and to maintain the existing positive reporting culture, while robustly addressing performance issues. One hundred medication errors reported in 2007/08 were analysed using a framework that specifies the factors that predispose to adverse medication events in domiciliary care. Various contributory factors were identified and interventions were subsequently developed to address poor drug calculation and medication problem-solving skills and incorrectly transcribed medication administration record charts. Follow up data were obtained at 12 months and two years. The evaluation has shown that although medication errors do still occur, the programme has resulted in a marked shift towards a reduction in the associated actual degree of harm and the potential risk of harm.

Measurement of anticonvulsant adherence behaviour in the community using a Medication Events Monitoring System (MEMS)

The Medication Event Monitoring System (MEMS) is a relatively new device designed to overcome some of the disadvantages of traditional adherence-measuring techniques. MEMS has also been found useful in tracking adherence behaviour without the need to visit patients frequently. In this study each patient was given a pre-filled, labelled MEMS bottle and cap. Patients were monitored for 24 weeks. For patients specifically studied, there were periods when drug levels may have been low and some exhibited erratic medication-taking behaviour. It is concluded that MEMS can measure adherence behaviour objectively, and so might be used to improve prescribing decisions, identify drug wastage and improve carer support. Further research is needed before the routine use of electronic medication monitoring can be recommended.