Use of measures of disproportionality in pharmacovigilance

Author(s): Belamalem souad, Khadmaoui Abderazzak, Tailibi Ismail2, Benkirane Rajae, Soulaymani Bencheikh-Rachida, Soulaymani Abdelmajid

Pharmacovigilance ensure employment drug safety and consists in collect and manage data on the use of drug and to exploit these data, to detect unknown effects after postmarketing. The primary goal of spontaneous reporting systems related to health products is the detection of unknown adverse reactions or signal detection for which a correlation between the appearance of an adverse effect and a medication. Different disproportional methods are used in pharmacovigilance to generate potential signals, among which, we find : the Proportional reporting ratio (PRR) associated with the chi-square test, the Report Odds Ratio (ROR), the YulesÂ’Q, the Bayesian Confidence Propagation Neural Network (BCPNN) or Information Component (IC) These sophisticated methods are used in advanced countries at the moment.

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