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Application of the research electronic data capture (REDCap) system in a low- and middle income country– experiences, lessons, and challenges
The challenges of reliably collecting, storing, organizing, and analyzing research data are critical in low- and middle-income countries (LMICs), particularly in Sub-Saharan Africa where several healthcare and biomedical research organizations have limited data infrastructure. The Research Electroni...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896572/ https://www.ncbi.nlm.nih.gov/pubmed/35251887 http://dx.doi.org/10.1007/s12553-021-00600-3 |
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author | Odukoya, O. Nenrot, D. Adelabu, H. Katam, N. Christian, E. Holl, J. Okonkwo, A. Kocherginsky, M. Kim, K.-Y. Akanmu, S. Abdulkareem, F. B. Anorlu, R. Musa, J. Lesi, O. Hawkins, C. Okeke, O. Adeyemo, W. L. Sagay, S. Murphy, R. Hou, L. Ogunsola, F. T. Wehbe, F. H. |
author_facet | Odukoya, O. Nenrot, D. Adelabu, H. Katam, N. Christian, E. Holl, J. Okonkwo, A. Kocherginsky, M. Kim, K.-Y. Akanmu, S. Abdulkareem, F. B. Anorlu, R. Musa, J. Lesi, O. Hawkins, C. Okeke, O. Adeyemo, W. L. Sagay, S. Murphy, R. Hou, L. Ogunsola, F. T. Wehbe, F. H. |
author_sort | Odukoya, O. |
collection | PubMed |
description | The challenges of reliably collecting, storing, organizing, and analyzing research data are critical in low- and middle-income countries (LMICs), particularly in Sub-Saharan Africa where several healthcare and biomedical research organizations have limited data infrastructure. The Research Electronic Data Capture (REDCap) System has been widely used by many institutions and hospitals in the USA for data collection, entry, and management and could help solve this problem. This study reports on the experiences, challenges, and lessons learned from establishing and applying REDCap for a large US-Nigeria research partnership that includes two sites in Nigeria, (the College of Medicine of the University of Lagos (CMUL) and Jos University Teaching Hospital (JUTH)) and Northwestern University (NU) in Chicago, Illinois in the United States. The largest challenges to this implementation were significant technical obstacles: the lack of REDCap-trained personnel, transient electrical power supply, and slow/intermittent internet connectivity. However, asynchronous communication and on-site hands-on collaboration between the Nigerian sites and NU led to the successful installation and configuration of REDCap to meet the needs of the Nigerian sites. An example of one lesson learned is the use of Virtual Private Network (VPN) as a solution to poor internet connectivity at one of the sites, and its adoption is underway at the other. Virtual Private Servers (VPS) or shared online hosting were also evaluated and offer alternative solutions. Installing and using REDCap in LMIC institutions for research data management is feasible; however, planning for trained personnel and addressing electrical and internet infrastructural requirements are essential to optimize its use. Building this fundamental research capacity within LMICs across Africa could substantially enhance the potential for more cross-institutional and cross-country collaboration in future research endeavors. |
format | Online Article Text |
id | pubmed-8896572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-88965722022-03-04 Application of the research electronic data capture (REDCap) system in a low- and middle income country– experiences, lessons, and challenges Odukoya, O. Nenrot, D. Adelabu, H. Katam, N. Christian, E. Holl, J. Okonkwo, A. Kocherginsky, M. Kim, K.-Y. Akanmu, S. Abdulkareem, F. B. Anorlu, R. Musa, J. Lesi, O. Hawkins, C. Okeke, O. Adeyemo, W. L. Sagay, S. Murphy, R. Hou, L. Ogunsola, F. T. Wehbe, F. H. Health Technol (Berl) Article The challenges of reliably collecting, storing, organizing, and analyzing research data are critical in low- and middle-income countries (LMICs), particularly in Sub-Saharan Africa where several healthcare and biomedical research organizations have limited data infrastructure. The Research Electronic Data Capture (REDCap) System has been widely used by many institutions and hospitals in the USA for data collection, entry, and management and could help solve this problem. This study reports on the experiences, challenges, and lessons learned from establishing and applying REDCap for a large US-Nigeria research partnership that includes two sites in Nigeria, (the College of Medicine of the University of Lagos (CMUL) and Jos University Teaching Hospital (JUTH)) and Northwestern University (NU) in Chicago, Illinois in the United States. The largest challenges to this implementation were significant technical obstacles: the lack of REDCap-trained personnel, transient electrical power supply, and slow/intermittent internet connectivity. However, asynchronous communication and on-site hands-on collaboration between the Nigerian sites and NU led to the successful installation and configuration of REDCap to meet the needs of the Nigerian sites. An example of one lesson learned is the use of Virtual Private Network (VPN) as a solution to poor internet connectivity at one of the sites, and its adoption is underway at the other. Virtual Private Servers (VPS) or shared online hosting were also evaluated and offer alternative solutions. Installing and using REDCap in LMIC institutions for research data management is feasible; however, planning for trained personnel and addressing electrical and internet infrastructural requirements are essential to optimize its use. Building this fundamental research capacity within LMICs across Africa could substantially enhance the potential for more cross-institutional and cross-country collaboration in future research endeavors. 2021-11 2021-09-25 /pmc/articles/PMC8896572/ /pubmed/35251887 http://dx.doi.org/10.1007/s12553-021-00600-3 Text en https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Odukoya, O. Nenrot, D. Adelabu, H. Katam, N. Christian, E. Holl, J. Okonkwo, A. Kocherginsky, M. Kim, K.-Y. Akanmu, S. Abdulkareem, F. B. Anorlu, R. Musa, J. Lesi, O. Hawkins, C. Okeke, O. Adeyemo, W. L. Sagay, S. Murphy, R. Hou, L. Ogunsola, F. T. Wehbe, F. H. Application of the research electronic data capture (REDCap) system in a low- and middle income country– experiences, lessons, and challenges |
title | Application of the research electronic data capture (REDCap) system in a low- and middle income country– experiences, lessons, and challenges |
title_full | Application of the research electronic data capture (REDCap) system in a low- and middle income country– experiences, lessons, and challenges |
title_fullStr | Application of the research electronic data capture (REDCap) system in a low- and middle income country– experiences, lessons, and challenges |
title_full_unstemmed | Application of the research electronic data capture (REDCap) system in a low- and middle income country– experiences, lessons, and challenges |
title_short | Application of the research electronic data capture (REDCap) system in a low- and middle income country– experiences, lessons, and challenges |
title_sort | application of the research electronic data capture (redcap) system in a low- and middle income country– experiences, lessons, and challenges |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896572/ https://www.ncbi.nlm.nih.gov/pubmed/35251887 http://dx.doi.org/10.1007/s12553-021-00600-3 |
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