title: Prescription-event monitoring in Japan (J-PEM).
abstract: In prescription-event monitoring in Japan (J-PEM), patients are identified by prescriptions in individual pharmacies where drugs are dispensed. The methodology is somewhat different to that used by the Drug Safety Research Unit in the UK, in that two questionnaires, one to the pharmacist and the other to the doctor are sent for each patient and the method of concurrent control is employed in J-PEM. In the data analysis, the list of events reported as a suspected reaction or a reason for stopping the drug is made to generate a signal. In addition, a signal may be generated for some events with the statistically significant difference of crude rates followed by the regression analysis or a follow-up study. In J-PEM, Medical Dictionary for Regulatory Activities (MedDRA) terminology is used for data entry and data analysis. Lowest level terms (LLTs) in MedDRA are used in data entry while a signal is generated using preferred terms (PTs). However, to generate a signal effectively, some PTs may be grouped as one term. In addition, if two terms are so similar, it may be instructed that one of those two terms is normally selected in data entry to avoid confusion. Many more PEM studies could be undertaken to determine if MedDRA can be used for effective signal generation, but the usefulness of MedDRA in J-PEM is still to be determined.
authors.affiliation: Department of Pharmacoepidemiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan. kubotape-tky@umin.ac.jp
authors.forename: Kiyoshi
authors.initials: K
authors.lastname: Kubota
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D016903:Drug Monitoring / Q000379:methods*; D011307:Drug Prescriptions / Q000706:statistics & numerical data*; D006801:Humans; D007564:Japan; D011358:Product Surveillance, Postmarketing / Q000379:methods*; D013223:Statistics as Topic / Q000379:methods; D011795:Surveys and Questionnaires