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Policy responsiveness and institutions in a federal system: Analyzing variations in state-level data transparency and equity issues during the COVID-19 pandemic

In the absence of a coherent federal response to COVID-19 in the United States, state governments played a significant role with varying policy responses, including in data collection and reporting. However, while accurate data collection and disaggregation is critically important since it is the ba...

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Detalles Bibliográficos
Autores principales: Sapat, Alka, Lofaro, Ryan J., Trautman, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9132784/
https://www.ncbi.nlm.nih.gov/pubmed/35637763
http://dx.doi.org/10.1016/j.ijdrr.2022.103066
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author Sapat, Alka
Lofaro, Ryan J.
Trautman, Benjamin
author_facet Sapat, Alka
Lofaro, Ryan J.
Trautman, Benjamin
author_sort Sapat, Alka
collection PubMed
description In the absence of a coherent federal response to COVID-19 in the United States, state governments played a significant role with varying policy responses, including in data collection and reporting. However, while accurate data collection and disaggregation is critically important since it is the basis for mitigation policy measures and to combat health disparities, it has received little scholarly attention. To address this gap, this study employs agency theory to focus on state-level determinants of data transparency practices by examining factors affecting variations in state data collection, reporting, and disaggregation of both overall metrics and race/ethnicity data. Using ordered logistic regression analyses, we find that legislatures, rather than governors, are important institutional actors and that a conservative ideology signal and socio-economic factors help predict data reporting and transparency practices. These results suggest that there is a critical need for standardized data collection protocols, the collection of comprehensive race and ethnicity data, and analyses examining data transparency and reductions in information asymmetries as a pandemic response tool—both in the United States and globally.
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spelling pubmed-91327842022-05-26 Policy responsiveness and institutions in a federal system: Analyzing variations in state-level data transparency and equity issues during the COVID-19 pandemic Sapat, Alka Lofaro, Ryan J. Trautman, Benjamin Int J Disaster Risk Reduct Article In the absence of a coherent federal response to COVID-19 in the United States, state governments played a significant role with varying policy responses, including in data collection and reporting. However, while accurate data collection and disaggregation is critically important since it is the basis for mitigation policy measures and to combat health disparities, it has received little scholarly attention. To address this gap, this study employs agency theory to focus on state-level determinants of data transparency practices by examining factors affecting variations in state data collection, reporting, and disaggregation of both overall metrics and race/ethnicity data. Using ordered logistic regression analyses, we find that legislatures, rather than governors, are important institutional actors and that a conservative ideology signal and socio-economic factors help predict data reporting and transparency practices. These results suggest that there is a critical need for standardized data collection protocols, the collection of comprehensive race and ethnicity data, and analyses examining data transparency and reductions in information asymmetries as a pandemic response tool—both in the United States and globally. Elsevier Ltd. 2022-07 2022-05-26 /pmc/articles/PMC9132784/ /pubmed/35637763 http://dx.doi.org/10.1016/j.ijdrr.2022.103066 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Sapat, Alka
Lofaro, Ryan J.
Trautman, Benjamin
Policy responsiveness and institutions in a federal system: Analyzing variations in state-level data transparency and equity issues during the COVID-19 pandemic
title Policy responsiveness and institutions in a federal system: Analyzing variations in state-level data transparency and equity issues during the COVID-19 pandemic
title_full Policy responsiveness and institutions in a federal system: Analyzing variations in state-level data transparency and equity issues during the COVID-19 pandemic
title_fullStr Policy responsiveness and institutions in a federal system: Analyzing variations in state-level data transparency and equity issues during the COVID-19 pandemic
title_full_unstemmed Policy responsiveness and institutions in a federal system: Analyzing variations in state-level data transparency and equity issues during the COVID-19 pandemic
title_short Policy responsiveness and institutions in a federal system: Analyzing variations in state-level data transparency and equity issues during the COVID-19 pandemic
title_sort policy responsiveness and institutions in a federal system: analyzing variations in state-level data transparency and equity issues during the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9132784/
https://www.ncbi.nlm.nih.gov/pubmed/35637763
http://dx.doi.org/10.1016/j.ijdrr.2022.103066
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