2017
DOI: 10.1002/pds.4344
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An algorithm to detect unexpected increases in frequency of reports of adverse events in EudraVigilance

Abstract: PurposeThe European Medicines Agency developed an algorithm to detect unexpected increases in frequency of reports, to enhance the ability to detect adverse events that manifest as increases in frequency, in particular quality defects, medication errors, and cases of abuse or misuse.MethodsAn algorithm based on a negative binomial time‐series regression model run on 6 sequential observations prior to the monitored period was developed to forecast monthly counts of reports. A heuristic model to capture increase… Show more

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Cited by 11 publications
(10 citation statements)
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“…Since the introduction of mandatory reporting of ICSRs to EudraVigilance in the European Economic Area, on 20 November 2005, the EMA has used the data held in EudraVigilance to detect safety signals and, incidentally, to determine if these signals were due to quality defects or medication errors. 49 Since the release of MedDRA version 19.0 in March 2016, a 27th MedDRA System Organ Class (SOC) ‘Product issues’ has been introduced. The LLTs of this SOC can be used to code ICSRs, in addition to ADR terms, and to send them to EudraVigilance.…”
Section: Eudravigilance As a Useful Source Of Data For The Identifica...mentioning
confidence: 99%
“…Since the introduction of mandatory reporting of ICSRs to EudraVigilance in the European Economic Area, on 20 November 2005, the EMA has used the data held in EudraVigilance to detect safety signals and, incidentally, to determine if these signals were due to quality defects or medication errors. 49 Since the release of MedDRA version 19.0 in March 2016, a 27th MedDRA System Organ Class (SOC) ‘Product issues’ has been introduced. The LLTs of this SOC can be used to code ICSRs, in addition to ADR terms, and to send them to EudraVigilance.…”
Section: Eudravigilance As a Useful Source Of Data For The Identifica...mentioning
confidence: 99%
“…Case-based argumentation strategies for estimating clinical outcomes and resource consumption indicate how case-based argumentation approaches may drastically enhance patient care in ICUs. Pinheiro, Candore, Zaccaria, Slattery and Arlett [4] describe a CDSS that incorporates both case-oriented and rule-oriented and operates effectively with generated and actual ICU datasets. A computer amber alert intended to detect adverse drug events in medical settings is described by the authors.…”
Section: Emergency Medication and Intensive Care Unit (Icu)mentioning
confidence: 99%
“…EMA applies an algorithm that screens the data in EudraVigilance for duplicate reports, but not all will be captured. The results of this analysis, therefore, might contain a small amount (in the order of 10%) of duplicates [19,20].…”
Section: Databasementioning
confidence: 99%