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Global Neurotrauma Surveillance: Are National Databases Overrated?: Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries"
Injuries are a public health crisis. Neurotrauma, a specific type of injury, is a leading cause of death and disability globally, with the largest burden in low- and middle-income countries (LMICs). However, there is a lack of quality neurotrauma-specific data in LMICs, especially at the national le...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Kerman University of Medical Sciences
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125052/ https://www.ncbi.nlm.nih.gov/pubmed/37579459 http://dx.doi.org/10.34172/ijhpm.2022.7577 |
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author | Boeck, Marissa A. Ssenyonjo, Hussein Kobusingye, Olive C. |
author_facet | Boeck, Marissa A. Ssenyonjo, Hussein Kobusingye, Olive C. |
author_sort | Boeck, Marissa A. |
collection | PubMed |
description | Injuries are a public health crisis. Neurotrauma, a specific type of injury, is a leading cause of death and disability globally, with the largest burden in low- and middle-income countries (LMICs). However, there is a lack of quality neurotrauma-specific data in LMICs, especially at the national level. Without standard criteria for what constitutes a national registry, and significant challenges frequently preventing this level of data collection, we argue that single-institution or regional databases can provide significant value for context-appropriate solutions. Although granular data for larger populations and a universal minimum dataset to enable comparison remain the gold standard, we must put progress over perfection. It is critical to engage local experts to explore available data and build effective information systems to inform solutions and serve as the foundation for quality and process improvement initiatives. Other items to consider include adequate resource allocation and leveraging of technology as we work to address the persistent but largely preventable injury pandemic. |
format | Online Article Text |
id | pubmed-10125052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Kerman University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-101250522023-04-25 Global Neurotrauma Surveillance: Are National Databases Overrated?: Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries" Boeck, Marissa A. Ssenyonjo, Hussein Kobusingye, Olive C. Int J Health Policy Manag Commentary Injuries are a public health crisis. Neurotrauma, a specific type of injury, is a leading cause of death and disability globally, with the largest burden in low- and middle-income countries (LMICs). However, there is a lack of quality neurotrauma-specific data in LMICs, especially at the national level. Without standard criteria for what constitutes a national registry, and significant challenges frequently preventing this level of data collection, we argue that single-institution or regional databases can provide significant value for context-appropriate solutions. Although granular data for larger populations and a universal minimum dataset to enable comparison remain the gold standard, we must put progress over perfection. It is critical to engage local experts to explore available data and build effective information systems to inform solutions and serve as the foundation for quality and process improvement initiatives. Other items to consider include adequate resource allocation and leveraging of technology as we work to address the persistent but largely preventable injury pandemic. Kerman University of Medical Sciences 2022-12-12 /pmc/articles/PMC10125052/ /pubmed/37579459 http://dx.doi.org/10.34172/ijhpm.2022.7577 Text en © 2023 The Author(s); Published by Kerman University of Medical Sciences https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Commentary Boeck, Marissa A. Ssenyonjo, Hussein Kobusingye, Olive C. Global Neurotrauma Surveillance: Are National Databases Overrated?: Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries" |
title | Global Neurotrauma Surveillance: Are National Databases Overrated?: Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries" |
title_full | Global Neurotrauma Surveillance: Are National Databases Overrated?: Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries" |
title_fullStr | Global Neurotrauma Surveillance: Are National Databases Overrated?: Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries" |
title_full_unstemmed | Global Neurotrauma Surveillance: Are National Databases Overrated?: Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries" |
title_short | Global Neurotrauma Surveillance: Are National Databases Overrated?: Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries" |
title_sort | global neurotrauma surveillance: are national databases overrated?: comment on "neurotrauma surveillance in national registries of low- and middle-income countries: a scoping review and comparative analysis of data dictionaries" |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125052/ https://www.ncbi.nlm.nih.gov/pubmed/37579459 http://dx.doi.org/10.34172/ijhpm.2022.7577 |
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