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Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations
Equitable distribution of vaccines is necessary to ensure those at highest risk of illness are protected from COVID-19 (coronavirus disease 2019). Unfortunately, there is significant evidence that vaccines have not been reaching the most vulnerable. At our large hospital system, we created interacti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8499899/ https://www.ncbi.nlm.nih.gov/pubmed/34480569 http://dx.doi.org/10.1093/jamia/ocab180 |
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author | Shaheen, Amy W Ciesco, Eileen Johnson, Kevin Kuhnen, Greg Paolini, Christopher Gartner, Gary |
author_facet | Shaheen, Amy W Ciesco, Eileen Johnson, Kevin Kuhnen, Greg Paolini, Christopher Gartner, Gary |
author_sort | Shaheen, Amy W |
collection | PubMed |
description | Equitable distribution of vaccines is necessary to ensure those at highest risk of illness are protected from COVID-19 (coronavirus disease 2019). Unfortunately, there is significant evidence that vaccines have not been reaching the most vulnerable. At our large hospital system, we created interactive online tools to measure and visualize equitability of vaccine administrations and to help stakeholders identify populations at highest risk within state-designated eligible vaccine groups. Using race, ethnicity, gender, and social vulnerability, we are able to measure and reflect our vaccine administration performance against the communities that we serve. With our visualization tools, stakeholders have been able to target interventions to improve equity in vaccine administrations, including improvements in race, ethnicity, and social vulnerability. We plan to use the data elements incorporated in our electronic health record and data warehouse due to the COVID-19 pandemic to guide further population health efforts at decreasing disparities. |
format | Online Article Text |
id | pubmed-8499899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84998992021-10-08 Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations Shaheen, Amy W Ciesco, Eileen Johnson, Kevin Kuhnen, Greg Paolini, Christopher Gartner, Gary J Am Med Inform Assoc Brief Communications Equitable distribution of vaccines is necessary to ensure those at highest risk of illness are protected from COVID-19 (coronavirus disease 2019). Unfortunately, there is significant evidence that vaccines have not been reaching the most vulnerable. At our large hospital system, we created interactive online tools to measure and visualize equitability of vaccine administrations and to help stakeholders identify populations at highest risk within state-designated eligible vaccine groups. Using race, ethnicity, gender, and social vulnerability, we are able to measure and reflect our vaccine administration performance against the communities that we serve. With our visualization tools, stakeholders have been able to target interventions to improve equity in vaccine administrations, including improvements in race, ethnicity, and social vulnerability. We plan to use the data elements incorporated in our electronic health record and data warehouse due to the COVID-19 pandemic to guide further population health efforts at decreasing disparities. Oxford University Press 2021-09-08 /pmc/articles/PMC8499899/ /pubmed/34480569 http://dx.doi.org/10.1093/jamia/ocab180 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_modelThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) |
spellingShingle | Brief Communications Shaheen, Amy W Ciesco, Eileen Johnson, Kevin Kuhnen, Greg Paolini, Christopher Gartner, Gary Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations |
title | Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations |
title_full | Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations |
title_fullStr | Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations |
title_full_unstemmed | Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations |
title_short | Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations |
title_sort | interactive, on-line visualization tools to measure and drive equity in covid-19 vaccine administrations |
topic | Brief Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8499899/ https://www.ncbi.nlm.nih.gov/pubmed/34480569 http://dx.doi.org/10.1093/jamia/ocab180 |
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