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Experience of using an open source clinical trials data management software system in Kenya
BACKGROUND: Clinical trials data management (CTDM) remains one of the many challenges in running state of the art trials in resource-poor settings since most trials do not allocate, or have available, sufficient resources for CTDM and because of poor internet connectivity. Open-source software like...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256812/ https://www.ncbi.nlm.nih.gov/pubmed/25424974 http://dx.doi.org/10.1186/1756-0500-7-845 |
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author | Ngari, Moses M Waithira, Naomi Chilengi, Roma Njuguna, Patricia Lang, Trudie Fegan, Greg |
author_facet | Ngari, Moses M Waithira, Naomi Chilengi, Roma Njuguna, Patricia Lang, Trudie Fegan, Greg |
author_sort | Ngari, Moses M |
collection | PubMed |
description | BACKGROUND: Clinical trials data management (CTDM) remains one of the many challenges in running state of the art trials in resource-poor settings since most trials do not allocate, or have available, sufficient resources for CTDM and because of poor internet connectivity. Open-source software like OpenClinica could be a solution in such scenarios. FINDINGS: In 2007, the KEMRI-Wellcome Trust Research Programme (KWTRP) adopted OpenClinica (OC) community edition, an open-source software system and we share our experience and lessons learnt since its adoption. We have used OC in three different modes; direct remote data entry from sites through Global System for Mobile Communications (GSM) modems, a centralized data centre approach where all data from paper records were entered at a central location and an off-line approach where data entry was done from a copy of database hosted on a field-site server laptop, then data uploaded to a centralized server later. We have used OC in eleven trials/studies with a cumulative number of participants in excess of 6000. These include large and complex trials, with multiple sites recruiting in different regions of East Africa. In the process, we have developed substantial local capacity through hands-on training and mentorship, which we have now begun to share with other institutions in the region. CONCLUSIONS: Our experience demonstrates that an open source data management system to manage trials’ data can be utilized to international industry standards in resource-poor countries. |
format | Online Article Text |
id | pubmed-4256812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42568122014-12-05 Experience of using an open source clinical trials data management software system in Kenya Ngari, Moses M Waithira, Naomi Chilengi, Roma Njuguna, Patricia Lang, Trudie Fegan, Greg BMC Res Notes Technical Note BACKGROUND: Clinical trials data management (CTDM) remains one of the many challenges in running state of the art trials in resource-poor settings since most trials do not allocate, or have available, sufficient resources for CTDM and because of poor internet connectivity. Open-source software like OpenClinica could be a solution in such scenarios. FINDINGS: In 2007, the KEMRI-Wellcome Trust Research Programme (KWTRP) adopted OpenClinica (OC) community edition, an open-source software system and we share our experience and lessons learnt since its adoption. We have used OC in three different modes; direct remote data entry from sites through Global System for Mobile Communications (GSM) modems, a centralized data centre approach where all data from paper records were entered at a central location and an off-line approach where data entry was done from a copy of database hosted on a field-site server laptop, then data uploaded to a centralized server later. We have used OC in eleven trials/studies with a cumulative number of participants in excess of 6000. These include large and complex trials, with multiple sites recruiting in different regions of East Africa. In the process, we have developed substantial local capacity through hands-on training and mentorship, which we have now begun to share with other institutions in the region. CONCLUSIONS: Our experience demonstrates that an open source data management system to manage trials’ data can be utilized to international industry standards in resource-poor countries. BioMed Central 2014-11-26 /pmc/articles/PMC4256812/ /pubmed/25424974 http://dx.doi.org/10.1186/1756-0500-7-845 Text en © Ngari et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Technical Note Ngari, Moses M Waithira, Naomi Chilengi, Roma Njuguna, Patricia Lang, Trudie Fegan, Greg Experience of using an open source clinical trials data management software system in Kenya |
title | Experience of using an open source clinical trials data management software system in Kenya |
title_full | Experience of using an open source clinical trials data management software system in Kenya |
title_fullStr | Experience of using an open source clinical trials data management software system in Kenya |
title_full_unstemmed | Experience of using an open source clinical trials data management software system in Kenya |
title_short | Experience of using an open source clinical trials data management software system in Kenya |
title_sort | experience of using an open source clinical trials data management software system in kenya |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256812/ https://www.ncbi.nlm.nih.gov/pubmed/25424974 http://dx.doi.org/10.1186/1756-0500-7-845 |
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