Literature DB >> 17967159

Effect of consumer reporting on signal detection: using disproportionality analysis.

Isaac W Hammond1, Donna S Rich, Trevor G Gibbs.   

Abstract

Pharmacovigilance objectives and activities are designed to protect the health of consumers and are generally based on data acquisition from spontaneous adverse event reports (SADRs). SADRs come from different sources, including healthcare professionals, consumers, lawyers, other pharmaceutical companies, regulatory agencies and so on. Pharmacovigilance activities derived from SADRs include signal detection and description of the safety profile of the drug. Consumers are the most frequent source of most SADRs, even though the system was originally designed to receive reports from healthcare professionals. Most spontaneous adverse event reports are received from the US. GlaxoSmithKline (GSK) conducts monthly signal detection on all marketed compounds in its global database using disproportionality analysis, the empirical Bayesian algorithm known as a multiple-item gamma-Poisson shrinker. There are no systematic survey data or reviews of actual experiences within existing safety surveillance databases of how pharmaceutical companies handle consumer reports. Thus, a study was undertaken to determine the impact of consumer reports on signal detection using MGPS disproportionality analysis. Two data sets were created for four randomly selected GSK marketed compounds; one data set included reports from both consumer and healthcare providers and the second included only reports from healthcare providers. Disproportionality analysis was then used to evaluate the two data sets. A total of 23 signals were identified with a mean difference in time to signal detection of 1.8 years. The difference was in the range of -8-10 years. In 52.2% of events (12/23), the signal was identified earlier when consumer reports were included in the data. In 34.8% of events (8/23), the signal was identified in the same year in both data sets and, in 13% of the events (3/23), the signal was identified later when consumer reports were included in the data. It was concluded from this study that adverse event reports submitted directly to pharmaceutical companies by consumers can help significantly in the early detection of safety signals.

Mesh:

Year:  2007        PMID: 17967159     DOI: 10.1517/14740338.6.6.705

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


  10 in total

Review 1.  Experiences with adverse drug reaction reporting by patients: an 11-country survey.

Authors:  Florence van Hunsel; Linda Härmark; Shanthi Pal; Sten Olsson; Kees van Grootheest
Journal:  Drug Saf       Date:  2012-01-01       Impact factor: 5.606

2.  Adverse event reporting for herbal medicines: a result of market forces.

Authors:  Rishma Walji; Heather Boon; Joanne Barnes; Zubin Austin; G Ross Baker; Sandy Welsh
Journal:  Healthc Policy       Date:  2009-05

3.  Comparison of statistical signal detection methods within and across spontaneous reporting databases.

Authors:  Gianmario Candore; Kristina Juhlin; Katrin Manlik; Bharat Thakrar; Naashika Quarcoo; Suzie Seabroke; Antoni Wisniewski; Jim Slattery
Journal:  Drug Saf       Date:  2015-06       Impact factor: 5.606

4.  Patients' Perspectives on Adverse Drug Reaction Reporting in a Developing Country: A Case Study from Ghana.

Authors:  George Tsey Sabblah; Delese Mimi Darko; Hudu Mogtari; Linda Härmark; Eugène van Puijenbroek
Journal:  Drug Saf       Date:  2017-10       Impact factor: 5.606

5.  Consumers of natural health products: natural-born pharmacovigilantes?

Authors:  Rishma Walji; Heather Boon; Joanne Barnes; Zubin Austin; Sandy Welsh; G Ross Baker
Journal:  BMC Complement Altern Med       Date:  2010-02-25       Impact factor: 3.659

6.  Patients views and experiences in online reporting adverse drug reactions: findings of a national pilot study in Japan.

Authors:  Michiko Yamamoto; Kiyoshi Kubota; Mitsuhiro Okazaki; Akira Dobashi; Masayuki Hashiguchi; Hirohisa Doi; Machi Suka; Mayumi Mochizuki
Journal:  Patient Prefer Adherence       Date:  2015-01-23       Impact factor: 2.711

7.  Does patient reporting lead to earlier detection of drug safety signals? A retrospective comparison of time to reporting between patients and healthcare professionals in a global database.

Authors:  Leàn Rolfes; Florence van Hunsel; Ola Caster; Henric Taavola; Katja Taxis; Eugène van Puijenbroek
Journal:  Br J Clin Pharmacol       Date:  2018-04-19       Impact factor: 4.335

8.  Analysis of spontaneous inquiries about suspected adverse drug reactions posted by the general public on the electronic Japanese bulletin board "Yahoo! Japan Chiebukuro".

Authors:  Akira Dobashi; Kaori Kurata; Mitsuhiro Okazaki; Mari Nishizawa
Journal:  Patient Prefer Adherence       Date:  2016-04-08       Impact factor: 2.711

9.  Spontaneous adverse drug reaction reporting by patients in Canada: a multi-method study-study protocol.

Authors:  Rania Al Dweik; Sanni Yaya; Dawn Stacey; Dafna Kohen
Journal:  Springerplus       Date:  2016-02-29

10.  An International Study of the Ability and Cost-Effectiveness of Advertising Methods to Facilitate Study Participant Self-Enrolment Into a Pilot Pharmacovigilance Study During Early Pregnancy.

Authors:  Sally Stephens; Simon Hugh Lynton Thomas; Anna Jamry-Dziurla; Lolkje de Jong-van den Berg; Priscilla Zetstra-van der Woude; Maja Laursen; Valerie Hliva; Shahrul Mt-Isa; Alison Bourke; Nancy A Dreyer; Stella Cf Blackburn; Jonathan Luke Richardson
Journal:  JMIR Public Health Surveill       Date:  2016-03-18
  10 in total

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