Development, Validation and Impact of an Automatic Identification of Co-Prescription at Risk of Interactions in the Hospital Information System. The PRoSIT System.
Development, Validation and Impact of an Automatic Identification of Co-Prescription at Risk of Interactions in the Hospital Information System. The PRoSIT System.
The French Public Health strategy 2018-2022 aims to reduce inappropriate prescriptions, as potentially dangerous for individuals and collectively. The reduction of co-prescriptions at Risk of Drug Interactions (RoDI) could decrease the prevalence of iatrogenic diseases, and increase the persistence of treatments with a growing efficacy of treatments, in particular in elderly populations. A recent study conducted by our team showed that, in out-patient setting, 2.7% of co-prescriptions contains medications at RoDI of high degree of severity (object of a contra-indication or non-recommended). Up today, there is no French experience concerning the identification of RoDI among the prescriptions performed at the end of a hospitalisation. In France, the recent development of hospital data warehouses is a huge opportunity to develop a system that can identify efficiently co-prescriptions at RoDI and provide feedback directly to prescribers in order to reduce their frequency in hospital context. The primary objective of this study is to evaluate the capacity of a system, called PRoSIT system, to automatically identify the RoDI of high level of severity at hospital discharge.
This is a national multicentre study structured in three phases.
Inclusion Criteria:
Exclusion Criteria:
• Hospital discharge prescriptions not corresponding to inclusion criteria.