Utilisation du PMSI pour la détection d’effets indésirables médicamenteux

Mining care trajectories using health administrative information systems: the use of state sequence analysis to assess disparities in prenatal care consumption

“…Care trajectories can be defined at the level of healthcare organization (for instance, in France, care pathways are coordinated by the general practitioner) or at the level of individual patients (who can choose to follow or not a given medical advice). Health administrative information systems, which were originally developed for economical purposes, have become useful tools for exploring and understanding care trajectories, particularly when assessing patients’ safety and security [ 2 ]. For instance, hospital discharge databases have been used to compute epidemiologic indicators [ 3 ] and to monitor the patients’ flow between hospitals [ 1 , 4 , 5 ].…”

Psychiatric Adverse Events Associated With Infliximab: A Cohort Study From the French Nationwide Discharge Abstract Database

“…Our pharmacovigilance analysis of the PMSI database is an novel technique that has rarely been used to detection adverse events (Weill et al, 2010;Neumann et al, 2012;Heng et al, 2015). A recent report validated the use of the PMSI database for detecting serious adverse drug reactions (Osmont et al, 2013). Furthermore, the Cox regression models used in the present study are the most appropriate for survival analyses of medical data (Desquilbet and Meyer, 2005).…”

The Trigger Tool Method for Routine Pharmacovigilance: A Retrospective Cohort Study of the Medical Records of Hospitalized Geriatric Patients

“…Then, to assess the feasibility of the method, we compared the observed proportion of medical records reviewed in the allotted time (<20 minutes) to a reference percentage, fixed at 50% on the basis of an earlier study by the Pharmacovigilance Center of the Rennes University Hospital, which used the Rennes hospital discharge database as a tool for detecting AEs. 41 Thus, using the Z test, we compared the proportion of medical records reviewed in less of 20 minutes to a reference threshold of 50%. Two sensitivity analyses were conducted: (1) setting the perusal threshold within a time limit of less than 10 minutes and (2) considering the overall review time in step 1 and step 2.…”

“…For the primary outcome, in a descriptive step, the time taken to review the medical records in step 2 was presented in the form of a histogram. Then, to assess the feasibility of the method, we compared the observed proportion of medical records reviewed in the allotted time (<20 minutes) to a reference percentage, fixed at 50% on the basis of an earlier study by the Pharmacovigilance Center of the Rennes University Hospital, which used the Rennes hospital discharge database as a tool for detecting AEs 41 . Thus, using the Z test, we compared the proportion of medical records reviewed in less of 20 minutes to a reference threshold of 50%.…”