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Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study
BACKGROUND: A manual approach to case investigation and contact tracing can introduce delays in response and challenges for field teams. Go.Data, an outbreak response tool developed by the World Health Organization (WHO) in collaboration with the Global Outbreak Alert and Response Network, streamlin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476402/ https://www.ncbi.nlm.nih.gov/pubmed/37667290 http://dx.doi.org/10.1186/s12889-023-16120-w |
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author | Hollis, Sara Stolow, Jeni Rosenthal, Melissa Morreale, Silvia Edith Moses, Lina |
author_facet | Hollis, Sara Stolow, Jeni Rosenthal, Melissa Morreale, Silvia Edith Moses, Lina |
author_sort | Hollis, Sara |
collection | PubMed |
description | BACKGROUND: A manual approach to case investigation and contact tracing can introduce delays in response and challenges for field teams. Go.Data, an outbreak response tool developed by the World Health Organization (WHO) in collaboration with the Global Outbreak Alert and Response Network, streamlines data collection and analysis during outbreaks. This study aimed to characterize Go.Data use during COVID-19, elicit shared benefits and challenges, and highlight key opportunities for enhancement. METHODS: This study utilized mixed methods through qualitative interviews and a quantitative survey with Go.Data implementors on their experiences during COVID-19. Survey data was analyzed for basic univariate statistics. Interview data were coded using deductive and inductive reasoning and thematic analysis of categories. Overarching themes were triangulated with survey data to clarify key findings. RESULTS: From April to June 2022, the research team conducted 33 interviews and collected 41 survey responses. Participants were distributed across all six WHO regions and 28 countries. While most implementations represented government actors at national or subnational levels, additional inputs were collected from United Nations agencies and universities. Results highlighted WHO endorsement, accessibility, adaptability, and flexible support modalities as main enabling factors. Formalization and standardization of data systems and people processes to prepare for future outbreaks were a welcomed byproduct of implementation, as 76% used paper-based reporting prior and benefited from increased coordination around a shared platform. Several challenges surfaced, including shortage of the appropriate personnel and skill-mix within teams to ensure smooth implementation. Among opportunities for enhancements were improved product documentation and features to improve usability with large data volumes. CONCLUSIONS: This study was the first to provide a comprehensive picture of Go.Data implementations during COVID-19 and what joint lessons could be learned. It ultimately demonstrated that Go.Data was a useful complement to responses across diverse contexts, and helped set a reproducible foundation for future outbreaks. Concerted preparedness efforts across the domains of workforce composition, data architecture and political sensitization should be prioritized as key ingredients for future Go.Data implementations. While major developments in Go.Data functionality have addressed some key gaps highlighted during the pandemic, continued dialogue between WHO and implementors, including cross-country experience sharing, is needed ensure the tool is reactive to evolving user needs. |
format | Online Article Text |
id | pubmed-10476402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104764022023-09-05 Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study Hollis, Sara Stolow, Jeni Rosenthal, Melissa Morreale, Silvia Edith Moses, Lina BMC Public Health Research BACKGROUND: A manual approach to case investigation and contact tracing can introduce delays in response and challenges for field teams. Go.Data, an outbreak response tool developed by the World Health Organization (WHO) in collaboration with the Global Outbreak Alert and Response Network, streamlines data collection and analysis during outbreaks. This study aimed to characterize Go.Data use during COVID-19, elicit shared benefits and challenges, and highlight key opportunities for enhancement. METHODS: This study utilized mixed methods through qualitative interviews and a quantitative survey with Go.Data implementors on their experiences during COVID-19. Survey data was analyzed for basic univariate statistics. Interview data were coded using deductive and inductive reasoning and thematic analysis of categories. Overarching themes were triangulated with survey data to clarify key findings. RESULTS: From April to June 2022, the research team conducted 33 interviews and collected 41 survey responses. Participants were distributed across all six WHO regions and 28 countries. While most implementations represented government actors at national or subnational levels, additional inputs were collected from United Nations agencies and universities. Results highlighted WHO endorsement, accessibility, adaptability, and flexible support modalities as main enabling factors. Formalization and standardization of data systems and people processes to prepare for future outbreaks were a welcomed byproduct of implementation, as 76% used paper-based reporting prior and benefited from increased coordination around a shared platform. Several challenges surfaced, including shortage of the appropriate personnel and skill-mix within teams to ensure smooth implementation. Among opportunities for enhancements were improved product documentation and features to improve usability with large data volumes. CONCLUSIONS: This study was the first to provide a comprehensive picture of Go.Data implementations during COVID-19 and what joint lessons could be learned. It ultimately demonstrated that Go.Data was a useful complement to responses across diverse contexts, and helped set a reproducible foundation for future outbreaks. Concerted preparedness efforts across the domains of workforce composition, data architecture and political sensitization should be prioritized as key ingredients for future Go.Data implementations. While major developments in Go.Data functionality have addressed some key gaps highlighted during the pandemic, continued dialogue between WHO and implementors, including cross-country experience sharing, is needed ensure the tool is reactive to evolving user needs. BioMed Central 2023-09-04 /pmc/articles/PMC10476402/ /pubmed/37667290 http://dx.doi.org/10.1186/s12889-023-16120-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/3.0/igo/Open Access This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode (https://creativecommons.org/licenses/by/3.0/igo/) , which permits unrestricted use, distribution and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specifc Organization or products. The use of the WHO logo is not permitted. |
spellingShingle | Research Hollis, Sara Stolow, Jeni Rosenthal, Melissa Morreale, Silvia Edith Moses, Lina Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study |
title | Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study |
title_full | Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study |
title_fullStr | Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study |
title_full_unstemmed | Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study |
title_short | Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study |
title_sort | go.data as a digital tool for case investigation and contact tracing in the context of covid-19: a mixed-methods study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476402/ https://www.ncbi.nlm.nih.gov/pubmed/37667290 http://dx.doi.org/10.1186/s12889-023-16120-w |
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