Literature DB >> 29157026

First experiences with a tool to measure the level of clinical information present in adverse drug reaction reports.

Ingrid Oosterhuis1, Leàn Rolfes1,2, Corine Ekhart1, Annemarie Muller-Hansma1, Linda Härmark1.   

Abstract

BACKGROUND: To make a proper causality assessment of an adverse drug reaction (ADR) report, a certain level of clinical information is necessary. A tool was developed to measure the level of clinical information present in ADR reports. The aim of this study was to test the validity and reliability of the clinical documentation tool (ClinDoc) in an international setting.
METHODS: The tool was developed by a panel of pharmacovigilance experts. It includes four domains: ADR, chronology of the ADR, suspected drug and patient characteristics. The final score categorizes reports into: excellent, well, moderately or poorly documented. In two rounds, eight pharmacovigilance assessors of different countries made a total of 224 assessments using the tool, with the expert panels judgement as a standard. Sensitivity and specificity were calculated.
RESULTS: The tool with four outcome-categories demonstrated low sensitivity. A lack of distinctiveness was demonstrated between the categories moderate and well. Results for the second round were re-analysed using three categories. This demonstrated a better validity.
CONCLUSION: This is the first tool to give insight in the level of relevant clinical information present in ADR reports. It can be used internationally to compare reports coming from different reporting methods and different types of reporters in pharmacovigilance.

Entities:  

Keywords:  ADR; Pharmacovigilance; adverse drug reaction; clinical information; completeness; report

Mesh:

Year:  2017        PMID: 29157026     DOI: 10.1080/14740338.2018.1400008

Source DB:  PubMed          Journal:  Expert Opin Drug Saf        ISSN: 1474-0338            Impact factor:   4.250


  4 in total

1.  Towards Automating Adverse Event Review: A Prediction Model for Case Report Utility.

Authors:  Monica A Muñoz; Gerald J Dal Pan; Yu-Jung Jenny Wei; Chris Delcher; Hong Xiao; Cindy M Kortepeter; Almut G Winterstein
Journal:  Drug Saf       Date:  2020-04       Impact factor: 5.606

2.  Medical students as junior adverse drug event managers facilitating reporting of ADRs.

Authors:  Michael O Reumerman; Jelle Tichelaar; Milan C Richir; Michiel A van Agtmael
Journal:  Br J Clin Pharmacol       Date:  2021-05-26       Impact factor: 3.716

3.  Knowledge of Adverse Drug Reaction Reporting and the Pharmacovigilance of Biological Medicines: A Survey of Healthcare Professionals in Ireland.

Authors:  J O'Callaghan; B T Griffin; J M Morris; Margaret Bermingham
Journal:  BioDrugs       Date:  2018-06       Impact factor: 5.807

4.  Characteristics, Quality and Contribution to Signal Detection of Spontaneous Reports of Adverse Drug Reactions Via the WEB-RADR Mobile Application: A Descriptive Cross-Sectional Study.

Authors:  Ingrid Oosterhuis; Henric Taavola; Philip M Tregunno; Petar Mas; Sara Gama; Victoria Newbould; Ola Caster; Linda Härmark
Journal:  Drug Saf       Date:  2018-10       Impact factor: 5.606

  4 in total

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