Literature DB >> 23821159

Development of a novel regulatory pharmacovigilance prioritisation system: an evaluation of its performance at the UK Medicines and Healthcare products Regulatory Agency.

Suzie Seabroke1, Lesley Wise, Patrick Waller.   

Abstract

BACKGROUND: The prioritisation of drug safety issues for further evaluation or regulatory action is critical to ensure that acceptable timelines and appropriate resource allocation are defined to meet public health and regulatory obligations.
OBJECTIVE: Our objective was to develop, pilot and implement a novel tool for prioritising pharmacovigilance issues within the Medicines and Healthcare products Regulatory Agency (MHRA).
METHODS: An initial system was developed empirically and then piloted over a 10-month period in the pharmacovigilance signal management meeting at the MHRA that discusses potential pharmacovigilance issues, and determines, through consensus, their priority and a timescale for action. The priority assigned by the tool was compared with the priority decided by collective judgement at the meeting. Once an acceptable level of concordance between the tool and the meeting had been achieved, the finalised tool was implemented into routine use at the MHRA, with an evaluation of its performance conducted after the first year.
RESULTS: The Regulatory Pharmacovigilance Prioritisation System (RPPS) tool prioritises pharmacovigilance issues according to the following four broad categories, each with four inputs: strength of evidence, public health implications, agency regulatory obligations and public perceptions. A weighted scoring system links the inputs to a pre-defined number of points where if a threshold is reached then the points are awarded. The overall priority is determined by the sum of all points obtained from each of the inputs. The pilot study included a total of 73 pharmacovigilance issues during the 10-month study period, with an overall exact agreement between the RPPS priority and the collective judgement of the meeting of 60.3 %. Where exact agreement was not obtained, the RPPS generally prioritised the issues slightly higher than the meeting. Over the first year following implementation, the RPPS achieved an overall exact agreement of 82.2 %.
CONCLUSION: Following the pilot study and implementation at the UK MHRA, the RPPS has provided a systematic approach to drug safety issue prioritisation that should help to reduce the subjectivity of reliance on individual judgement.

Mesh:

Substances:

Year:  2013        PMID: 23821159     DOI: 10.1007/s40264-013-0081-3

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  7 in total

1.  Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports.

Authors:  S J Evans; P C Waller; S Davis
Journal:  Pharmacoepidemiol Drug Saf       Date:  2001 Oct-Nov       Impact factor: 2.890

2.  Application of quantitative signal detection in the Dutch spontaneous reporting system for adverse drug reactions.

Authors:  Eugène van Puijenbroek; Willem Diemont; Kees van Grootheest
Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

3.  Testing and implementing signal impact analysis in a regulatory setting: results of a pilot study.

Authors:  Emma Heeley; Patrick Waller; Jane Moseley
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

4.  Impact analysis of signals detected from spontaneous adverse drug reaction reporting data.

Authors:  Patrick Waller; Emma Heeley; Jane Moseley
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

5.  A Bayesian neural network method for adverse drug reaction signal generation.

Authors:  A Bate; M Lindquist; I R Edwards; S Olsson; R Orre; A Lansner; R M De Freitas
Journal:  Eur J Clin Pharmacol       Date:  1998-06       Impact factor: 2.953

6.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

7.  Signal detection in the pharmaceutical industry: integrating clinical and computational approaches.

Authors:  Manfred Hauben
Journal:  Drug Saf       Date:  2007       Impact factor: 5.606

  7 in total
  5 in total

1.  What Is the Plural of a 'Yellow' Anecdote?

Authors:  Stephen J W Evans
Journal:  Drug Saf       Date:  2016-01       Impact factor: 5.606

2.  The 9th Biennial Conference on Signal Detection and Interpretation in Pharmacovigilance.

Authors:  Vicki Osborne; Saad A W Shakir
Journal:  Drug Saf       Date:  2018-01       Impact factor: 5.606

3.  Pharmacological prioritisation of signals of disproportionate reporting: proposal of an algorithm and pilot evaluation.

Authors:  Francesco Salvo; Emanuel Raschi; Ugo Moretti; Anita Chiarolanza; Annie Fourrier-Réglat; Nicholas Moore; Miriam Sturkemboom; Fabrizio De Ponti; Elisabetta Poluzzi; Antoine Pariente
Journal:  Eur J Clin Pharmacol       Date:  2014-03-05       Impact factor: 2.953

4.  An Automated System Combining Safety Signal Detection and Prioritization from Healthcare Databases: A Pilot Study.

Authors:  Mickael Arnaud; Bernard Bégaud; Frantz Thiessard; Quentin Jarrion; Julien Bezin; Antoine Pariente; Francesco Salvo
Journal:  Drug Saf       Date:  2018-04       Impact factor: 5.606

5.  Characteristics of drugs safety signals that predict safety related product information update.

Authors:  Widya N Insani; Alexandra C Pacurariu; Aukje K Mantel-Teeuwisse; Liana Gross-Martirosyan
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-05-24       Impact factor: 2.890

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.