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Experiences and Lessons From Implementing Cohort Event Monitoring Programmes for Antimalarials in Four African Countries: Results of a Questionnaire-Based Survey

Identifieur interne : 000349 ( Main/Exploration ); précédent : 000348; suivant : 000350

Experiences and Lessons From Implementing Cohort Event Monitoring Programmes for Antimalarials in Four African Countries: Results of a Questionnaire-Based Survey

Auteurs : Comfort Kunak Suku ; Geraldine Hill [Suède] ; George Sabblah [Ghana] ; Mimi Darko [Ghana] ; George Muthuri [Kenya] ; Edward Abwao [Kenya] ; Jayesh Pandit [Kenya] ; Adeline Ijeoma Osakwe ; Cassandra Elagbaje ; Priscilla Nyambayo [Zimbabwe] ; Star Khoza [Zimbabwe] ; Alexander N. Dodoo [Ghana] ; Shanthi Narayan Pal [Suisse]

Source :

RBID : PMC:4608977

Abstract

Introduction

Cohort event monitoring (CEM) is an intensive method of post-marketing surveillance for medicines safety. The method is based on prescription event monitoring, which began in the 1970s, and has since been adapted by WHO for monitoring the safety of medicines used in Public Health Programmes. CEM aims to capture all adverse events that occur in a defined group of patients after starting treatment with a specific medicine during the course of routine clinical practice.

Objective

The aims of this study were to describe the experiences of National Pharmacovigilance Centres (NCs) that have used CEM to monitor artemisinin-based combination therapy (ACT) for uncomplicated malaria in the African setting, to raise awareness of some of the challenges encountered during implementation and to highlight aspects of the method that require further consideration.

Method

A questionnaire-based survey was conducted to capture the experiences of NCs that have implemented CEM for active post-marketing surveillance of antimalarial medicines in sub-Saharan Africa. Six NCs were identified as having implemented CEM programmes and were invited to participate in the survey; five NCs indicated willingness to participate and were sent the questionnaire to complete.

Results

Four NCs responded to the survey—Ghana, Kenya, Nigeria and Zimbabwe—providing information on the implementation of a total of six CEM programmes. Their experiences indicate that CEM has helped to build pharmacovigilance capacity within the participating NCs and at the monitoring sites, and that healthcare providers (HCPs) are generally willing to participate in implementing the CEM method. All of the programmes took longer than expected to complete: contributing factors included a prolonged enrolment period and unexpectedly slow data entry. All of the programmes exceeded their budget by 11.1–63.2 %. Data management was identified as a challenge for all participating NCs.

Conclusions

The reported experiences of four NCs that have undertaken CEM studies on ACTs indicate that CEM has helped to build pharmacovigilance capacity within NCs and monitoring sites and that HCPs are willing to participate in CEM programmes; however, the method was found to be labour intensive and data management was identified as a challenge. Reducing the workload associated with CEM, particularly in relation to data management, and integrating the method into the routine work of HCPs and NCs should be considered for future implementation.

Electronic supplementary material

The online version of this article (doi:10.1007/s40264-015-0331-7) contains supplementary material, which is available to authorized users.


Url:
DOI: 10.1007/s40264-015-0331-7
PubMed: 26267842
PubMed Central: 4608977


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<name sortKey="Osakwe, Adeline Ijeoma" sort="Osakwe, Adeline Ijeoma" uniqKey="Osakwe A" first="Adeline Ijeoma" last="Osakwe">Adeline Ijeoma Osakwe</name>
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<name sortKey="Dodoo, Alexander N" sort="Dodoo, Alexander N" uniqKey="Dodoo A" first="Alexander N." last="Dodoo">Alexander N. Dodoo</name>
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<title>Introduction</title>
<p>Cohort event monitoring (CEM) is an intensive method of post-marketing surveillance for medicines safety. The method is based on prescription event monitoring, which began in the 1970s, and has since been adapted by WHO for monitoring the safety of medicines used in Public Health Programmes. CEM aims to capture all adverse events that occur in a defined group of patients after starting treatment with a specific medicine during the course of routine clinical practice.</p>
</sec>
<sec>
<title>Objective</title>
<p>The aims of this study were to describe the experiences of National Pharmacovigilance Centres (NCs) that have used CEM to monitor artemisinin-based combination therapy (ACT) for uncomplicated malaria in the African setting, to raise awareness of some of the challenges encountered during implementation and to highlight aspects of the method that require further consideration.</p>
</sec>
<sec>
<title>Method</title>
<p>A questionnaire-based survey was conducted to capture the experiences of NCs that have implemented CEM for active post-marketing surveillance of antimalarial medicines in sub-Saharan Africa. Six NCs were identified as having implemented CEM programmes and were invited to participate in the survey; five NCs indicated willingness to participate and were sent the questionnaire to complete.</p>
</sec>
<sec>
<title>Results</title>
<p>Four NCs responded to the survey—Ghana, Kenya, Nigeria and Zimbabwe—providing information on the implementation of a total of six CEM programmes. Their experiences indicate that CEM has helped to build pharmacovigilance capacity within the participating NCs and at the monitoring sites, and that healthcare providers (HCPs) are generally willing to participate in implementing the CEM method. All of the programmes took longer than expected to complete: contributing factors included a prolonged enrolment period and unexpectedly slow data entry. All of the programmes exceeded their budget by 11.1–63.2 %. Data management was identified as a challenge for all participating NCs.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The reported experiences of four NCs that have undertaken CEM studies on ACTs indicate that CEM has helped to build pharmacovigilance capacity within NCs and monitoring sites and that HCPs are willing to participate in CEM programmes; however, the method was found to be labour intensive and data management was identified as a challenge. Reducing the workload associated with CEM, particularly in relation to data management, and integrating the method into the routine work of HCPs and NCs should be considered for future implementation.</p>
</sec>
<sec>
<title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1007/s40264-015-0331-7) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
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<name sortKey="Bondar, S" uniqKey="Bondar S">S Bondar</name>
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<name sortKey="Charnysh, I" uniqKey="Charnysh I">I Charnysh</name>
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<author>
<name sortKey="Kuchko, A" uniqKey="Kuchko A">A Kuchko</name>
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<author>
<name sortKey="Kaznacheeva, A" uniqKey="Kaznacheeva A">A Kaznacheeva</name>
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<li>Ghana</li>
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<li>Suède</li>
<li>Zimbabwe</li>
</country>
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<li>Région du Grand Accra</li>
</region>
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<li>Accra</li>
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<li>Université du Ghana</li>
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<name sortKey="Osakwe, Adeline Ijeoma" sort="Osakwe, Adeline Ijeoma" uniqKey="Osakwe A" first="Adeline Ijeoma" last="Osakwe">Adeline Ijeoma Osakwe</name>
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<name sortKey="Sabblah, George" sort="Sabblah, George" uniqKey="Sabblah G" first="George" last="Sabblah">George Sabblah</name>
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<name sortKey="Darko, Mimi" sort="Darko, Mimi" uniqKey="Darko M" first="Mimi" last="Darko">Mimi Darko</name>
<name sortKey="Dodoo, Alexander N" sort="Dodoo, Alexander N" uniqKey="Dodoo A" first="Alexander N." last="Dodoo">Alexander N. Dodoo</name>
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<name sortKey="Muthuri, George" sort="Muthuri, George" uniqKey="Muthuri G" first="George" last="Muthuri">George Muthuri</name>
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<name sortKey="Abwao, Edward" sort="Abwao, Edward" uniqKey="Abwao E" first="Edward" last="Abwao">Edward Abwao</name>
<name sortKey="Pandit, Jayesh" sort="Pandit, Jayesh" uniqKey="Pandit J" first="Jayesh" last="Pandit">Jayesh Pandit</name>
<name sortKey="Pandit, Jayesh" sort="Pandit, Jayesh" uniqKey="Pandit J" first="Jayesh" last="Pandit">Jayesh Pandit</name>
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<name sortKey="Nyambayo, Priscilla" sort="Nyambayo, Priscilla" uniqKey="Nyambayo P" first="Priscilla" last="Nyambayo">Priscilla Nyambayo</name>
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<name sortKey="Khoza, Star" sort="Khoza, Star" uniqKey="Khoza S" first="Star" last="Khoza">Star Khoza</name>
<name sortKey="Khoza, Star" sort="Khoza, Star" uniqKey="Khoza S" first="Star" last="Khoza">Star Khoza</name>
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<country name="Suisse">
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<name sortKey="Pal, Shanthi Narayan" sort="Pal, Shanthi Narayan" uniqKey="Pal S" first="Shanthi Narayan" last="Pal">Shanthi Narayan Pal</name>
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</record>

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