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. 2017 Aug;26(8):977-983.
doi: 10.1002/pds.4236. Epub 2017 May 19.

The contribution of direct patient reported ADRs to drug safety signals in the Netherlands from 2010 to 2015

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The contribution of direct patient reported ADRs to drug safety signals in the Netherlands from 2010 to 2015

Florence van Hunsel et al. Pharmacoepidemiol Drug Saf. 2017 Aug.

Abstract

Purpose: The purpose of this study was to investigate the contribution of patient reports to signals sent by the Netherlands Pharmacovigilance Centre Lareb to the Dutch Medicines Evaluation Board and to determine if there are certain types of signals where patient report add a distinct contribution.

Method: All signals from 2010 until 2015 were included. First, we investigated how many patient reports were present in the signals and the characteristics of these reports compared to the health care professional and marketing authorization holders' reports. In addition to source, the analysis included ATC code of the drug, MedDRA® system organ class and preferred term for the adverse drug reaction (ADR), seriousness of the ADR, and 7 other factors like reports on over-the-counter medication, and how often an ADR listed in the important medical event terms list was present. Secondly, we determined the proportion of reports submitted by the individual groups to signals, in a cross-sectional manner.

Results: A total of 150 signals were included, including 1691 ADR reports. Our results show that 26.3% of all ADR reports in Dutch drug safety signals were reported by patients, and 30.5% of the patient reports in the signals contained one or more terms listed as important medical events. The proportion of reports by patients which were included the signals was 2% and 3.9% for health care professional reports and 0.2% for marketing authorization holders reports.

Conclusion: Patients had an important contribution to signals overall, but especially for ADRs related to generic drug substitution and psychiatric ADRs.

Keywords: ADR; patient reporting; pharmacovigilance; signal detection.

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