RESUMO
BACKGROUND: Medication reviews conducted in community pharmacies are a measure to reduce drug-related problems and to increase medication safety. Since 2014, a guideline for medication reviews has been available in Germany. However, the sole existence of a guideline does not guarantee a high quality of this novel service. Quality indicators can contribute to ensure appropriate quality standards. So far, no such indicators have been available in Germany. This project therefore aims at developing suitable indicators to assess the quality of medication reviews type 2a in community pharmacies. METHODS: Based on a literature review, potential quality indicators were generated. Using a two-step Delphi method applying the RUMBA criteria, a set of structure, process, and outcome indicators was developed. RESULTS: The literature review identified 23 potential indicators. Nine further indicators derived from the guideline for medication reviews and expert opinion were amended. After discussion in a focus group, the 32 indicators were reduced to a preliminary set of twelve indicators used for the Delphi survey. Following two Delphi rounds, a final indicator set consisting of three structure indicators, one process indicator and two outcome indicators, was generated. DISCUSSION: The set of quality indicators is potentially suitable for measuring the quality of medication reviews in German community pharmacies. In the next step, these indicators need to be evaluated with regard to their validity and applicability in daily routine.
Assuntos
Farmácias , Alemanha , Indicadores de Qualidade em Assistência à Saúde , Inquéritos e QuestionáriosRESUMO
Most anticancer agents exhibit a narrow therapeutic index, i.e., a small change in plasma concentrations can lead to a less efficacious treatment or an unacceptable degree of toxicity. This study aimed at providing health professionals with a feasible and time-saving tool to adapt the dose of anticancer agents for patients with renal or hepatic dysfunction. A guideline for anticancer agents was developed based on a literature search. An algorithm was generated to enhance the efficiency of the dose adaptation process. Finally, the dosing guideline was converted into an easy-to-use ExcelTM tool. The concept was applied to a total of 105 adult patients at the Centre for Integrated Oncology, Bonn, Germany. In total, 392 recommendations for dose adaptation were made and 320 (81.6%) recommendations were responded to by the oncologists. 98.4% of the recommendations were accepted. The algorithm simplifies the decision and screening process for high-risk patients. Moreover, it provides the possibility to quickly decide which laboratory tests are required and whether a dose adjustment for a particular anticancer drug is needed. The ExcelTM tool provides a recommended individual dose for patients with renal or hepatic dysfunction. The effectiveness of this strategy to reduce toxicity should be investigated in further studies before being adopted for routine use.