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Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system
SETTING: The Ontario government implemented a regulatory change to mandate the collection of socio-demographic (SD) data for individuals who tested positive for COVID-19. This change was informed by evidence of COVID-19’s disproportionate impact on marginalized communities and calls for broader coll...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351225/ https://www.ncbi.nlm.nih.gov/pubmed/34370214 http://dx.doi.org/10.17269/s41997-021-00551-2 |
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author | Abdi, Samiya Bennett-AbuAyyash, Caroline MacDonald, Liane Hohenadel, Karin Johnson, Karen O. Leece, Pamela |
author_facet | Abdi, Samiya Bennett-AbuAyyash, Caroline MacDonald, Liane Hohenadel, Karin Johnson, Karen O. Leece, Pamela |
author_sort | Abdi, Samiya |
collection | PubMed |
description | SETTING: The Ontario government implemented a regulatory change to mandate the collection of socio-demographic (SD) data for individuals who tested positive for COVID-19. This change was informed by evidence of COVID-19’s disproportionate impact on marginalized communities and calls for broader collection of SD data. Given the scarcity of similar efforts, there is a significant knowledge gap around implementing standardized SD data collection in public health settings. INTERVENTION: Public Health Ontario provided collaborative support for the implementation of SD data collection, grounded in health equity principles, evidence, and best practices. We supported the addition of SD fields in Ontario’s COVID-19 data collection systems, issued data entry guidance, hosted webinars for training and learning exchange, and published a resource to support the data collection process. The current focus is on building sustainability and quality improvement through continued engagement of public health units. OUTCOMES: By November 28, 2020, almost 80% of COVID-19 cases had information recorded for at least one SD question (individual questions, range 46.8–67.0%). We hosted three webinars for the field, and the data collection resource was viewed almost 650 times. Practitioners continue to express needs for support on applying equity principles to data analysis and interpretation, and community engagement on data collection and use. IMPLICATIONS: Sharing knowledge on responsive implementation supports in collaboration with the field and using current evidence and guidance will strengthen public health practice for SD data collection. Laying this groundwork will also improve the likelihood of success and sustainability of these equity-focused efforts. |
format | Online Article Text |
id | pubmed-8351225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-83512252021-08-09 Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system Abdi, Samiya Bennett-AbuAyyash, Caroline MacDonald, Liane Hohenadel, Karin Johnson, Karen O. Leece, Pamela Can J Public Health Special Section on COVID-19: Innovations in Policy and Practice SETTING: The Ontario government implemented a regulatory change to mandate the collection of socio-demographic (SD) data for individuals who tested positive for COVID-19. This change was informed by evidence of COVID-19’s disproportionate impact on marginalized communities and calls for broader collection of SD data. Given the scarcity of similar efforts, there is a significant knowledge gap around implementing standardized SD data collection in public health settings. INTERVENTION: Public Health Ontario provided collaborative support for the implementation of SD data collection, grounded in health equity principles, evidence, and best practices. We supported the addition of SD fields in Ontario’s COVID-19 data collection systems, issued data entry guidance, hosted webinars for training and learning exchange, and published a resource to support the data collection process. The current focus is on building sustainability and quality improvement through continued engagement of public health units. OUTCOMES: By November 28, 2020, almost 80% of COVID-19 cases had information recorded for at least one SD question (individual questions, range 46.8–67.0%). We hosted three webinars for the field, and the data collection resource was viewed almost 650 times. Practitioners continue to express needs for support on applying equity principles to data analysis and interpretation, and community engagement on data collection and use. IMPLICATIONS: Sharing knowledge on responsive implementation supports in collaboration with the field and using current evidence and guidance will strengthen public health practice for SD data collection. Laying this groundwork will also improve the likelihood of success and sustainability of these equity-focused efforts. Springer International Publishing 2021-08-09 /pmc/articles/PMC8351225/ /pubmed/34370214 http://dx.doi.org/10.17269/s41997-021-00551-2 Text en © Crown 2021 as represented by Government of Ontario 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Special Section on COVID-19: Innovations in Policy and Practice Abdi, Samiya Bennett-AbuAyyash, Caroline MacDonald, Liane Hohenadel, Karin Johnson, Karen O. Leece, Pamela Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system |
title | Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system |
title_full | Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system |
title_fullStr | Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system |
title_full_unstemmed | Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system |
title_short | Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system |
title_sort | provincial implementation supports for socio-demographic data collection during covid-19 in ontario’s public health system |
topic | Special Section on COVID-19: Innovations in Policy and Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351225/ https://www.ncbi.nlm.nih.gov/pubmed/34370214 http://dx.doi.org/10.17269/s41997-021-00551-2 |
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