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Pharmacoepidemiology and Drug Safety
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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The validity and reliability of a signal impact assessment tool

Authors: Rolfes, Leàn; Kolfschoten, Judith; van Hunsel, Florence; van Puijenbroek, Eugène;

The validity and reliability of a signal impact assessment tool

Abstract

AbstractBackgroundThe Netherlands Pharmacovigilance Centre Lareb uses an operating Signal Impact Assessment Tool (SIAT) as aid in signal selection. SIAT prioritized signals into one of four categories: strong/moderate signal strength and similarly health impact. Although the SIAT has been used for many years, validity and reliability was never explored.PurposeThe aim of this study is to test the validity and reliability of the operating and weight‐adjusted SIAT.MethodFor validity testing, judgments of a Delphi panel of three pharmacovigilance experts were used as a ‘gold standard’. First, the panel judged the weighting of the items included in the SIAT. Then, during two phases, the panel rated 40 signals in one of the four categories. Two researchers scored the signals using the SIAT. Panel judgments were compared with scores for the operating and weight‐adjusted SIAT. Inter‐ and intra‐observer variability was also tested. The Cohen's Kappa coefficient (k) was calculated. At least substantial agreement (k > 0.6) was considered to be necessary for an acceptable reliability.ResultsValidity did not meet predefined criteria: operating and weight‐adjusted tool, respectively, k‐phase1 = 0.83 and 0.83, k‐phase2 = 0.18 and 0.36. Differences were found for signal strength and health impact. Inter‐ and intra‐observer variabilities were good, k of 0.78 and 0.72, respectively.ConclusionsThe SIAT was found to have an insufficient validity and proper reliability. Although SIAT scores should not be decisive in the decision making process, items included can be used as an aid to decide which signals deserve further investigation. Copyright © 2016 John Wiley & Sons, Ltd.

Country
Netherlands
Keywords

Observer Variation, Pharmacovigilance, Delphi Technique, Drug-Related Side Effects and Adverse Reactions, Decision Making, Adverse Drug Reaction Reporting Systems, Humans, Reproducibility of Results, Netherlands

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Top 10%
hybrid