Literature DB >> 15073731

The New Zealand Intensive Medicines Monitoring Programme.

D M Coulter1.   

Abstract

The New Zealand Intensive Medicines Monitoring Programme which has been in operation for 20 years is described. The methodology is reviewed in detail and illustrated in the results. Some of the principles of early postmarketing surveillance and advantages and problems associated with the IMMP are discussed. The methodology is based on establishing cohorts of patients and the aggregation of adverse events from a combination of prescription follow-up (PFU) and intensified spontaneous reporting. In signal detection particular emphasis is placed on provisional 'causality' assessment and a study of the events thought not to be reactions (incidents) and in addition, their use in controlling for reporting bias particularly in respect of reaction rates and the identification of risk factors. With the small population base, cohorts are built up more slowly, but the longer duration of observation has advantages. Monitoring has been completed for 20 drugs with an average cohort size of 10,511 patients and a mean monitoring period of 55 months. The use of duplicate prescriptions with PFU achieved much higher reporting rates than IMMP spontaneous reporting. Information on deaths was best obtained from questionnaires on reasons for cessation of therapy which also provided data on efficacy. Copyright 1998 John Wiley & Sons, Ltd.

Entities:  

Year:  1998        PMID: 15073731     DOI: 10.1002/(SICI)1099-1557(199803/04)7:2<79::AID-PDS330>3.0.CO;2-1

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


  15 in total

1.  Spontaneous reporting--of what? Clinical concerns about drugs.

Authors:  I R Edwards
Journal:  Br J Clin Pharmacol       Date:  1999-08       Impact factor: 4.335

2.  Cardiovascular events in patients taking varenicline: a case series from intensive postmarketing surveillance in New Zealand.

Authors:  Mira Harrison-Woolrych; Simran Maggo; Ming Tan; Ruth Savage; Janelle Ashton
Journal:  Drug Saf       Date:  2012-01-01       Impact factor: 5.606

3.  Signal generation in the New Zealand Intensive Medicines Monitoring Programme: a combined clinical and statistical approach.

Authors:  David M Coulter
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

Review 4.  Risk management from an Asian/Pacific Rim regulatory perspective.

Authors:  John McEwen
Journal:  Drug Saf       Date:  2004       Impact factor: 5.606

5.  Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.

Authors:  Xiaoyan Wang; George Hripcsak; Marianthi Markatou; Carol Friedman
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

6.  The fatal love of forms.

Authors:  Bruce Hugman
Journal:  Drug Saf       Date:  2011-08-01       Impact factor: 5.606

7.  A comparison of the use, effectiveness and safety of bezafibrate, gemfibrozil and simvastatin in normal clinical practice using the New Zealand Intensive Medicines Monitoring Programme (IMMP).

Authors:  P W Beggs; D W Clark; S M Williams; D M Coulter
Journal:  Br J Clin Pharmacol       Date:  1999-01       Impact factor: 4.335

8.  Intensive monitoring of pregabalin: results from an observational, Web-based, prospective cohort study in the Netherlands using patients as a source of information.

Authors:  Linda Härmark; Eugène van Puijenbroek; Sabine Straus; Kees van Grootheest
Journal:  Drug Saf       Date:  2011-03-01       Impact factor: 5.606

Review 9.  Pharmacovigilance: methods, recent developments and future perspectives.

Authors:  L Härmark; A C van Grootheest
Journal:  Eur J Clin Pharmacol       Date:  2008-06-04       Impact factor: 2.953

10.  Physician response to patient reports of adverse drug effects: implications for patient-targeted adverse effect surveillance.

Authors:  Beatrice A Golomb; John J McGraw; Marcella A Evans; Joel E Dimsdale
Journal:  Drug Saf       Date:  2007       Impact factor: 5.606

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