Abstract
a) To build a detection and evaluation tool of drug interactions (DI) in family practice prescribing; b) to elaborate and to offer a DI report, including appearance mechanism, clinical consequences and appropriate alternatives; c) to evaluate their effectiveness to diminish the DI incidence, and d) to check effectiveness of different diffusion methods. Previous phase: we will build the tool and will elaborate the report. Intervention phase: longitudinal, interventional, multicenter. Primary care, Murcia Region. Family doctors (FD) with computerized clinical history frequently used to prescribe, with indefinite contract and who don't reject to participate. Randomly we will form 4 FD groups to carry out monthly (6 months): a) Minimal intervention: we mail DI reports; b) generic intervention: DI report is delivered in collective session managed by a trained doctor; c) personalized intervention: discussion peer-to-peer between FD and the trained doctor; d) control group: they won't receive DI information. We will measure the evolution of DI incidence and their classification according to relevance and repercussions. Different aspects related with FD and patient characteristics and with organizational environment are measured for subject's describing, inclusion-exclusion criteria assurance and conditioning and confusion factors analysis. Limitations. Using a new DI classification make difficult external comparisons, although it is useful because we use generalised and prestigious data sources. Applicability. The project produces a tool to avoid prescription errors. Checking the effectiveness in different corrective measures allows to take reasoned decisions for future interventions in quality care.
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