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REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research

2023-05-11Artigo científico Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosCiências Médicas::Outras Ciências Médicas
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorLima, Vinícius Costa
dc.contributor.authorRijo, Rui Pedro Charters Lopes
dc.contributor.authorBernardi, Filipe Andrade
dc.contributor.authorFilho, Márcio Eloi Colombo
dc.contributor.authorBarbosa-Junior, Francisco
dc.contributor.authorPellison, Felipe Carvalho
dc.contributor.authorGalliez, Rafael Mello
dc.contributor.authorKritski, Afrânio Lineu
dc.contributor.authorAlves, Domingos
dc.date.accessioned2026-10-09T14:44:37Z
dc.date.available2026-10-09T14:44:37Z
dc.date.issued2023-05-11
dc.description.abstractClinical research outcomes depend on the correct definition of the research protocol, the data collection strategy, and the data management plan. Furthermore, researchers often need to work within challenging contexts, as is the case in tuberculosis services, where human and technological resources for research may be scarce. Electronic Data Capture Systems mitigate such risks and enable a reliable environment to conduct health research and promote result dissemination and data reusability. The proposed solution is based on needs pinpointed by researchers, considering the need for an accommodating solution to conduct research in low-resource environments. The REDbox framework was developed to facilitate data collection, management, sharing, and availability in tuberculosis research and improve the user experience through user-friendly, web-based tools. REDbox combines elements of the REDCap and KoBoToolbox electronic data capture systems and semantics to deliver new valuable tools that meet the needs of tuberculosis researchers in Brazil. The framework was implemented in five cross-institutional, nationwide projects to evaluate the users' perceptions of the system's usefulness and the information and user experience. Seventeen responses (representing 40% of active users) to an anonymous survey distributed to active users indicated that REDbox was perceived to be helpful for the particular audience of researchers and health professionals. The relevance of this article lies in the innovative approach to supporting tuberculosis research by combining existing technologies and tailoring supporting features.eng
dc.description.sponsorshipThe authors would like to thank the Brazilian Network for Tuberculosis Research (REDE-TB) for providing access to the licensed REDCap instance used in this study. This work was supported by the São Paulo Research Foundation (FAPESP)—Grant Number 2020/01975-9, coordinated by author D.A.
dc.identifier.citationLima, V.C., Rijo, R.P.C.L., Bernardi, F.A. et al. REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research. Sci Rep 13, 7686 (2023). https://doi.org/10.1038/s41598-023-33492-6.
dc.identifier.doi10.1038/s41598-023-33492-6
dc.identifier.eissn2045-2322
dc.identifier.urihttp://hdl.handle.net/10400.8/17019
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media LLC
dc.relation.hasversionhttps://www.nature.com/articles/s41598-023-33492-6
dc.relation.ispartofScientific Reports
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBrazil
dc.subjectData Collection
dc.subjectHealth Personnel
dc.subjectHumans
dc.subjectSemantics
dc.subjectUser-Computer Interface
dc.titleREDbox: a comprehensive semantic framework for data collection and management in tuberculosis researcheng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleScientific Reports
oaire.citation.volume13
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRijo
person.givenNameRui Pedro Charters Lopes
person.identifier.ciencia-idE71D-3237-849C
person.identifier.orcid0000-0002-9348-0474
person.identifier.scopus-author-id36861366200
relation.isAuthorOfPublicatione69d7599-392c-4f8f-a96a-bf0a0d15c8b1
relation.isAuthorOfPublication.latestForDiscoverye69d7599-392c-4f8f-a96a-bf0a0d15c8b1

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Clinical research outcomes depend on the correct definition of the research protocol, the data collection strategy, and the data management plan. Furthermore, researchers often need to work within challenging contexts, as is the case in tuberculosis services, where human and technological resources for research may be scarce. Electronic Data Capture Systems mitigate such risks and enable a reliable environment to conduct health research and promote result dissemination and data reusability. The proposed solution is based on needs pinpointed by researchers, considering the need for an accommodating solution to conduct research in low-resource environments. The REDbox framework was developed to facilitate data collection, management, sharing, and availability in tuberculosis research and improve the user experience through user-friendly, web-based tools. REDbox combines elements of the REDCap and KoBoToolbox electronic data capture systems and semantics to deliver new valuable tools that meet the needs of tuberculosis researchers in Brazil. The framework was implemented in five cross-institutional, nationwide projects to evaluate the users' perceptions of the system's usefulness and the information and user experience. Seventeen responses (representing 40% of active users) to an anonymous survey distributed to active users indicated that REDbox was perceived to be helpful for the particular audience of researchers and health professionals. The relevance of this article lies in the innovative approach to supporting tuberculosis research by combining existing technologies and tailoring supporting features.
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