Cargando…
Open-source mobile digital platform for clinical trial data collection in low-resource settings
BACKGROUND: Governments, universities and pan-African research networks are building durable infrastructure and capabilities for biomedical research in Africa. This offers the opportunity to adopt from the outset innovative approaches and technologies that would be challenging to retrofit into fully...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293854/ https://www.ncbi.nlm.nih.gov/pubmed/28250964 http://dx.doi.org/10.1136/bmjinnov-2016-000164 |
_version_ | 1782505144784519168 |
---|---|
author | van Dam, Joris Omondi Onyango, Kevin Midamba, Brian Groosman, Nele Hooper, Norman Spector, Jonathan Pillai, Goonaseelan (Colin) Ogutu, Bernhards |
author_facet | van Dam, Joris Omondi Onyango, Kevin Midamba, Brian Groosman, Nele Hooper, Norman Spector, Jonathan Pillai, Goonaseelan (Colin) Ogutu, Bernhards |
author_sort | van Dam, Joris |
collection | PubMed |
description | BACKGROUND: Governments, universities and pan-African research networks are building durable infrastructure and capabilities for biomedical research in Africa. This offers the opportunity to adopt from the outset innovative approaches and technologies that would be challenging to retrofit into fully established research infrastructures such as those regularly found in high-income countries. In this context we piloted the use of a novel mobile digital health platform, designed specifically for low-resource environments, to support high-quality data collection in a clinical research study. OBJECTIVE: Our primary aim was to assess the feasibility of a using a mobile digital platform for clinical trial data collection in a low-resource setting. Secondarily, we sought to explore the potential benefits of such an approach. METHODS: The investigative site was a research institute in Nairobi, Kenya. We integrated an open-source platform for mobile data collection commonly used in the developing world with an open-source, standard platform for electronic data capture in clinical trials. The integration was developed using common data standards (Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model), maximising the potential to extend the approach to other platforms. The system was deployed in a pharmacokinetic study involving healthy human volunteers. RESULTS: The electronic data collection platform successfully supported conduct of the study. Multidisciplinary users reported high levels of satisfaction with the mobile application and highlighted substantial advantages when compared with traditional paper record systems. The new system also demonstrated a potential for expediting data quality review. DISCUSSION AND CONCLUSIONS: This pilot study demonstrated the feasibility of using a mobile digital platform for clinical research data collection in low-resource settings. Sustainable scientific capabilities and infrastructure are essential to attract and support clinical research studies. Since many research structures in Africa are being developed anew, stakeholders should consider implementing innovative technologies and approaches. |
format | Online Article Text |
id | pubmed-5293854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52938542017-02-27 Open-source mobile digital platform for clinical trial data collection in low-resource settings van Dam, Joris Omondi Onyango, Kevin Midamba, Brian Groosman, Nele Hooper, Norman Spector, Jonathan Pillai, Goonaseelan (Colin) Ogutu, Bernhards BMJ Innov Health IT, systems and process innovations BACKGROUND: Governments, universities and pan-African research networks are building durable infrastructure and capabilities for biomedical research in Africa. This offers the opportunity to adopt from the outset innovative approaches and technologies that would be challenging to retrofit into fully established research infrastructures such as those regularly found in high-income countries. In this context we piloted the use of a novel mobile digital health platform, designed specifically for low-resource environments, to support high-quality data collection in a clinical research study. OBJECTIVE: Our primary aim was to assess the feasibility of a using a mobile digital platform for clinical trial data collection in a low-resource setting. Secondarily, we sought to explore the potential benefits of such an approach. METHODS: The investigative site was a research institute in Nairobi, Kenya. We integrated an open-source platform for mobile data collection commonly used in the developing world with an open-source, standard platform for electronic data capture in clinical trials. The integration was developed using common data standards (Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model), maximising the potential to extend the approach to other platforms. The system was deployed in a pharmacokinetic study involving healthy human volunteers. RESULTS: The electronic data collection platform successfully supported conduct of the study. Multidisciplinary users reported high levels of satisfaction with the mobile application and highlighted substantial advantages when compared with traditional paper record systems. The new system also demonstrated a potential for expediting data quality review. DISCUSSION AND CONCLUSIONS: This pilot study demonstrated the feasibility of using a mobile digital platform for clinical research data collection in low-resource settings. Sustainable scientific capabilities and infrastructure are essential to attract and support clinical research studies. Since many research structures in Africa are being developed anew, stakeholders should consider implementing innovative technologies and approaches. BMJ Publishing Group 2017-02 2017-01-06 /pmc/articles/PMC5293854/ /pubmed/28250964 http://dx.doi.org/10.1136/bmjinnov-2016-000164 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Health IT, systems and process innovations van Dam, Joris Omondi Onyango, Kevin Midamba, Brian Groosman, Nele Hooper, Norman Spector, Jonathan Pillai, Goonaseelan (Colin) Ogutu, Bernhards Open-source mobile digital platform for clinical trial data collection in low-resource settings |
title | Open-source mobile digital platform for clinical trial data collection in low-resource settings |
title_full | Open-source mobile digital platform for clinical trial data collection in low-resource settings |
title_fullStr | Open-source mobile digital platform for clinical trial data collection in low-resource settings |
title_full_unstemmed | Open-source mobile digital platform for clinical trial data collection in low-resource settings |
title_short | Open-source mobile digital platform for clinical trial data collection in low-resource settings |
title_sort | open-source mobile digital platform for clinical trial data collection in low-resource settings |
topic | Health IT, systems and process innovations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293854/ https://www.ncbi.nlm.nih.gov/pubmed/28250964 http://dx.doi.org/10.1136/bmjinnov-2016-000164 |
work_keys_str_mv | AT vandamjoris opensourcemobiledigitalplatformforclinicaltrialdatacollectioninlowresourcesettings AT omondionyangokevin opensourcemobiledigitalplatformforclinicaltrialdatacollectioninlowresourcesettings AT midambabrian opensourcemobiledigitalplatformforclinicaltrialdatacollectioninlowresourcesettings AT groosmannele opensourcemobiledigitalplatformforclinicaltrialdatacollectioninlowresourcesettings AT hoopernorman opensourcemobiledigitalplatformforclinicaltrialdatacollectioninlowresourcesettings AT spectorjonathan opensourcemobiledigitalplatformforclinicaltrialdatacollectioninlowresourcesettings AT pillaigoonaseelancolin opensourcemobiledigitalplatformforclinicaltrialdatacollectioninlowresourcesettings AT ogutubernhards opensourcemobiledigitalplatformforclinicaltrialdatacollectioninlowresourcesettings |