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Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements
BACKGROUND: Coronavirus Disease 2019 (COVID-19) instigated a flurry of clinical research activity. The unprecedented pace with which trials were launched left an early void in data standardization, limiting the potential for subsequent data pooling. To facilitate data standardization across emerging...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794959/ https://www.ncbi.nlm.nih.gov/pubmed/36590348 http://dx.doi.org/10.1017/cts.2022.466 |
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author | Weissman, Alexandra Cheng, Alex Mainor, Alex Gimbel, Elizabeth Nowak, Kayla Pan, Huaqin (Helen) Stratford, Jeran Merkel, Alyssa Taylor, Caroline Meier, Heather Auman, Jeanette Nolen, Tracy L. Lindsell, Christopher J. Huang, David T. |
author_facet | Weissman, Alexandra Cheng, Alex Mainor, Alex Gimbel, Elizabeth Nowak, Kayla Pan, Huaqin (Helen) Stratford, Jeran Merkel, Alyssa Taylor, Caroline Meier, Heather Auman, Jeanette Nolen, Tracy L. Lindsell, Christopher J. Huang, David T. |
author_sort | Weissman, Alexandra |
collection | PubMed |
description | BACKGROUND: Coronavirus Disease 2019 (COVID-19) instigated a flurry of clinical research activity. The unprecedented pace with which trials were launched left an early void in data standardization, limiting the potential for subsequent data pooling. To facilitate data standardization across emerging studies, the National Heart, Lung, and Blood Institute (NHLBI) charged two groups with harmonizing data collection, and these groups collaborated to create a concise set of COVID-19 Common Data Elements (CDEs) for clinical research. METHODS: Our iterative approach followed three guiding principles: 1) draw from existing multi-center COVID-19 clinical trials as precedents, 2) incorporate existing data elements and data standards whenever possible, and 3) alignment to data standards that facilitate data sharing and regulatory submission. We also supported rapid implementation of the CDEs in NHLBI-funded studies and iteratively refined the CDEs based on feedback from those study teams RESULTS: The NHLBI COVID-19 CDEs are publicly available and being used for current COVID-19 clinical trials. CDEs are organized into domains, and each data element is classified within a three-tiered prioritization system. The CDE manual is hosted publicly at https://nhlbi-connects.org/common_data_elements with an accompanying data dictionary and implementation guidance. CONCLUSIONS: The NHLBI COVID-19 CDEs are designed to aid data harmonization across studies to achieve the benefits of pooled analyses. We found that organizing CDE development around our three guiding principles focused our efforts and allowed us to adapt as COVID-19 knowledge advanced. As these CDEs continue to evolve, they could be generalized for use in other acute respiratory illnesses. |
format | Online Article Text |
id | pubmed-9794959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97949592022-12-30 Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements Weissman, Alexandra Cheng, Alex Mainor, Alex Gimbel, Elizabeth Nowak, Kayla Pan, Huaqin (Helen) Stratford, Jeran Merkel, Alyssa Taylor, Caroline Meier, Heather Auman, Jeanette Nolen, Tracy L. Lindsell, Christopher J. Huang, David T. J Clin Transl Sci Research Article BACKGROUND: Coronavirus Disease 2019 (COVID-19) instigated a flurry of clinical research activity. The unprecedented pace with which trials were launched left an early void in data standardization, limiting the potential for subsequent data pooling. To facilitate data standardization across emerging studies, the National Heart, Lung, and Blood Institute (NHLBI) charged two groups with harmonizing data collection, and these groups collaborated to create a concise set of COVID-19 Common Data Elements (CDEs) for clinical research. METHODS: Our iterative approach followed three guiding principles: 1) draw from existing multi-center COVID-19 clinical trials as precedents, 2) incorporate existing data elements and data standards whenever possible, and 3) alignment to data standards that facilitate data sharing and regulatory submission. We also supported rapid implementation of the CDEs in NHLBI-funded studies and iteratively refined the CDEs based on feedback from those study teams RESULTS: The NHLBI COVID-19 CDEs are publicly available and being used for current COVID-19 clinical trials. CDEs are organized into domains, and each data element is classified within a three-tiered prioritization system. The CDE manual is hosted publicly at https://nhlbi-connects.org/common_data_elements with an accompanying data dictionary and implementation guidance. CONCLUSIONS: The NHLBI COVID-19 CDEs are designed to aid data harmonization across studies to achieve the benefits of pooled analyses. We found that organizing CDE development around our three guiding principles focused our efforts and allowed us to adapt as COVID-19 knowledge advanced. As these CDEs continue to evolve, they could be generalized for use in other acute respiratory illnesses. Cambridge University Press 2022-09-26 /pmc/articles/PMC9794959/ /pubmed/36590348 http://dx.doi.org/10.1017/cts.2022.466 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Research Article Weissman, Alexandra Cheng, Alex Mainor, Alex Gimbel, Elizabeth Nowak, Kayla Pan, Huaqin (Helen) Stratford, Jeran Merkel, Alyssa Taylor, Caroline Meier, Heather Auman, Jeanette Nolen, Tracy L. Lindsell, Christopher J. Huang, David T. Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements |
title | Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements |
title_full | Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements |
title_fullStr | Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements |
title_full_unstemmed | Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements |
title_short | Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements |
title_sort | development and implementation of the national heart, lung, and blood institute covid-19 common data elements |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794959/ https://www.ncbi.nlm.nih.gov/pubmed/36590348 http://dx.doi.org/10.1017/cts.2022.466 |
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