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Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation
BACKGROUND: Efforts to address infant mortality disparities in Ohio have historically been adversely affected by the lack of consistent data collection and infrastructure across the community-based organizations performing front-line work with expectant mothers, and there is no established template...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722266/ https://www.ncbi.nlm.nih.gov/pubmed/34974826 http://dx.doi.org/10.1186/s12913-021-07393-1 |
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author | Fareed, Naleef Swoboda, Christine M. Lawrence, John Griesenbrock, Tyler Huerta, Timothy |
author_facet | Fareed, Naleef Swoboda, Christine M. Lawrence, John Griesenbrock, Tyler Huerta, Timothy |
author_sort | Fareed, Naleef |
collection | PubMed |
description | BACKGROUND: Efforts to address infant mortality disparities in Ohio have historically been adversely affected by the lack of consistent data collection and infrastructure across the community-based organizations performing front-line work with expectant mothers, and there is no established template for implementing such systems in the context of diverse technological capacities and varying data collection magnitude among participating organizations. METHODS: Taking into account both the needs and limitations of participating community-based organizations, we created a data collection infrastructure that was refined by feedback from sponsors and the organizations to serve as both a solution to their existing needs and a template for future efforts in other settings. RESULTS: By standardizing the collected data elements across participating organizations, integration on a scale large enough to detect changes in a rare outcome such as infant mortality was made possible. Datasets generated through the use of the established infrastructure were robust enough to be matched with other records, such as Medicaid and birth records, to allow more extensive analysis. CONCLUSION: While a consistent data collection infrastructure across multiple organizations does require buy-in at the organizational level, especially among participants with little to no existing data collection experience, an approach that relies on an understanding of existing barriers, iterative development, and feedback from sponsors and participants can lead to better coordination and sharing of information when addressing health concerns that individual organizations may struggle to quantify alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07393-1. |
format | Online Article Text |
id | pubmed-8722266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87222662022-01-06 Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation Fareed, Naleef Swoboda, Christine M. Lawrence, John Griesenbrock, Tyler Huerta, Timothy BMC Health Serv Res Research BACKGROUND: Efforts to address infant mortality disparities in Ohio have historically been adversely affected by the lack of consistent data collection and infrastructure across the community-based organizations performing front-line work with expectant mothers, and there is no established template for implementing such systems in the context of diverse technological capacities and varying data collection magnitude among participating organizations. METHODS: Taking into account both the needs and limitations of participating community-based organizations, we created a data collection infrastructure that was refined by feedback from sponsors and the organizations to serve as both a solution to their existing needs and a template for future efforts in other settings. RESULTS: By standardizing the collected data elements across participating organizations, integration on a scale large enough to detect changes in a rare outcome such as infant mortality was made possible. Datasets generated through the use of the established infrastructure were robust enough to be matched with other records, such as Medicaid and birth records, to allow more extensive analysis. CONCLUSION: While a consistent data collection infrastructure across multiple organizations does require buy-in at the organizational level, especially among participants with little to no existing data collection experience, an approach that relies on an understanding of existing barriers, iterative development, and feedback from sponsors and participants can lead to better coordination and sharing of information when addressing health concerns that individual organizations may struggle to quantify alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07393-1. BioMed Central 2022-01-02 /pmc/articles/PMC8722266/ /pubmed/34974826 http://dx.doi.org/10.1186/s12913-021-07393-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Fareed, Naleef Swoboda, Christine M. Lawrence, John Griesenbrock, Tyler Huerta, Timothy Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation |
title | Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation |
title_full | Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation |
title_fullStr | Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation |
title_full_unstemmed | Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation |
title_short | Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation |
title_sort | co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722266/ https://www.ncbi.nlm.nih.gov/pubmed/34974826 http://dx.doi.org/10.1186/s12913-021-07393-1 |
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