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Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia
OBJECTIVES: Cutaneous leishmaniasis is a vector-borne parasitic disease whose lasting scars can cause stigmatization and depressive symptoms. It is endemic in remote rural areas and its incidence is under-reported, while the effectiveness, as opposed to efficacy, of its treatments is largely unknown...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165780/ https://www.ncbi.nlm.nih.gov/pubmed/34059128 http://dx.doi.org/10.1186/s13104-021-05618-4 |
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author | Oviedo Sarmiento, Oscar Javier Castro, María del Mar Lerma, Yenifer Orobio Bernal, Leonardo Vargas Navarro, Andrés Alexander, Neal D. E. |
author_facet | Oviedo Sarmiento, Oscar Javier Castro, María del Mar Lerma, Yenifer Orobio Bernal, Leonardo Vargas Navarro, Andrés Alexander, Neal D. E. |
author_sort | Oviedo Sarmiento, Oscar Javier |
collection | PubMed |
description | OBJECTIVES: Cutaneous leishmaniasis is a vector-borne parasitic disease whose lasting scars can cause stigmatization and depressive symptoms. It is endemic in remote rural areas and its incidence is under-reported, while the effectiveness, as opposed to efficacy, of its treatments is largely unknown. Here we present the data management plan (DMP) of a project which includes mHealth tools to address these knowledge gaps in Colombia. The objectives of the DMP are to specify the tools and procedures for data collection, data transfer, data entry, creation of analysis dataset, monitoring and archiving. RESULTS: The DMP includes data from two mobile apps: one implements a clinical prediction rule, and the other is for follow-up and treatment of confirmed cases. A desktop interface integrates these data and facilitates their linkage with other sources which include routine surveillance as well as paper and electronic case report forms. Multiple user and programming interfaces are used, as well as multiple relational and non-relational database engines. This DMP describes the successful integration of heterogeneous data sources and technologies. However the complexity of the project meant that the DMP took longer to develop than expected. We describe lessons learned which could be useful for future mHealth projects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05618-4. |
format | Online Article Text |
id | pubmed-8165780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81657802021-06-01 Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia Oviedo Sarmiento, Oscar Javier Castro, María del Mar Lerma, Yenifer Orobio Bernal, Leonardo Vargas Navarro, Andrés Alexander, Neal D. E. BMC Res Notes Research Note OBJECTIVES: Cutaneous leishmaniasis is a vector-borne parasitic disease whose lasting scars can cause stigmatization and depressive symptoms. It is endemic in remote rural areas and its incidence is under-reported, while the effectiveness, as opposed to efficacy, of its treatments is largely unknown. Here we present the data management plan (DMP) of a project which includes mHealth tools to address these knowledge gaps in Colombia. The objectives of the DMP are to specify the tools and procedures for data collection, data transfer, data entry, creation of analysis dataset, monitoring and archiving. RESULTS: The DMP includes data from two mobile apps: one implements a clinical prediction rule, and the other is for follow-up and treatment of confirmed cases. A desktop interface integrates these data and facilitates their linkage with other sources which include routine surveillance as well as paper and electronic case report forms. Multiple user and programming interfaces are used, as well as multiple relational and non-relational database engines. This DMP describes the successful integration of heterogeneous data sources and technologies. However the complexity of the project meant that the DMP took longer to develop than expected. We describe lessons learned which could be useful for future mHealth projects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05618-4. BioMed Central 2021-05-31 /pmc/articles/PMC8165780/ /pubmed/34059128 http://dx.doi.org/10.1186/s13104-021-05618-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Oviedo Sarmiento, Oscar Javier Castro, María del Mar Lerma, Yenifer Orobio Bernal, Leonardo Vargas Navarro, Andrés Alexander, Neal D. E. Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia |
title | Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia |
title_full | Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia |
title_fullStr | Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia |
title_full_unstemmed | Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia |
title_short | Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia |
title_sort | data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in colombia |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165780/ https://www.ncbi.nlm.nih.gov/pubmed/34059128 http://dx.doi.org/10.1186/s13104-021-05618-4 |
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