Literature DB >> 21538671

Longitudinal monitoring of the safety of drugs by using a web-based system: the case of pregabalin.

Linda Härmark1, Eugene Puijenbroek, Kees Grootheest.   

Abstract

PURPOSE: Information about the time course of adverse drug reactions (ADRs) is often lacking. If this information would be available, it could help increase patient's adherence to drugs when experiencing an ADR. The aim of this study was to demonstrate how a web-based intensive monitoring system using the patient as a source of information can be used to gather longitudinal safety data of a drug. In this study, pregabalin was used as an example.
METHODS: First-time users of pregabalin were approached in Dutch pharmacies between 1 August 2006 and 31 January 2008. After online registration, patients received questionnaires by email 2 weeks, 6 weeks, 3 months and 6 months after the start of the drug use. Data on patient characteristics, drug use and ADRs were collected and analysed.
RESULTS: A total of 1373 patients registered for the pregabalin study. Of these patients, 1051 (76.5%) filled in at least one questionnaire. On an aggregated level, the ADR profile remained relatively stable over time. Incidence densities showed that the five most frequently reported reactions occurred early in the treatment. Initially, the majority of the patients did not undertake any action when experiencing an ADR. Recovery did not seem to be completely dependent of drug cessation.
CONCLUSIONS: With web-based intensive monitoring, it is possible to study the time course of ADRs. This method can be a valuable addition to pharmacovigilance because it can generate other types of information as compared with spontaneous reporting and other intensive monitoring methodologies.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21538671     DOI: 10.1002/pds.2135

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  12 in total

1.  A signal detection method to detect adverse drug reactions using a parametric time-to-event model in simulated cohort data.

Authors:  Victoria R Cornelius; Odile Sauzet; Stephen J W Evans
Journal:  Drug Saf       Date:  2012-07-01       Impact factor: 5.606

2.  Social Media Listening for Routine Post-Marketing Safety Surveillance.

Authors:  Gregory E Powell; Harry A Seifert; Tjark Reblin; Phil J Burstein; James Blowers; J Alan Menius; Jeffery L Painter; Michele Thomas; Carrie E Pierce; Harold W Rodriguez; John S Brownstein; Clark C Freifeld; Heidi G Bell; Nabarun Dasgupta
Journal:  Drug Saf       Date:  2016-05       Impact factor: 5.606

Review 3.  The value of patient reporting to the pharmacovigilance system: a systematic review.

Authors:  Pedro Inácio; Afonso Cavaco; Marja Airaksinen
Journal:  Br J Clin Pharmacol       Date:  2016-10-12       Impact factor: 4.335

4.  Development and Initial Validation of a Patient-Reported Adverse Drug Event Questionnaire.

Authors:  Sieta T de Vries; Peter G M Mol; Dick de Zeeuw; Flora M Haaijer-Ruskamp; Petra Denig
Journal:  Drug Saf       Date:  2013-09       Impact factor: 5.606

5.  Patient-Reported Safety Information: A Renaissance of Pharmacovigilance?

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6.  Intensive monitoring of duloxetine: results of a web-based intensive monitoring study.

Authors:  Linda Härmark; Eugène van Puijenbroek; Kees van Grootheest
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7.  Adverse drug event patterns experienced by patients with diabetes: A diary study in primary care.

Authors:  Petra Denig; Eugène P van Puijenbroek; Nashwa Soliman; Peter G M Mol; Sieta T de Vries
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-06-17       Impact factor: 2.890

8.  A comprehensive drug safety evaluation of pregabalin in peripheral neuropathic pain.

Authors:  Rainer Freynhagen; Michael Serpell; Birol Emir; Ed Whalen; Bruce Parsons; Andrew Clair; Mark Latymer
Journal:  Pain Pract       Date:  2013-11-27       Impact factor: 3.183

Review 9.  Patient Participation and the Use of Ehealth Tools for Pharmacoviligance.

Authors:  Joëlle Berrewaerts; Laure Delbecque; Pierre Orban; Martin Desseilles
Journal:  Front Pharmacol       Date:  2016-04-11       Impact factor: 5.810

10.  Cytisine versus varenicline for smoking cessation for Māori (the indigenous people of New Zealand) and their extended family: protocol for a randomized non-inferiority trial.

Authors:  Natalie Walker; Barry Smith; Joanne Barnes; Marjolein Verbiest; Tomasz Kurdziel; Varsha Parag; Subhash Pokhrel; Chris Bullen
Journal:  Addiction       Date:  2018-11-09       Impact factor: 6.526

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