About: A framework for identifying and mitigating the equity harms of COVID-19 policy interventions

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A framework for identifying and mitigating the equity harms of COVID-19 policy interventions
Creator	Tugwell, Peter Petticrew, Mark Glover, Rebecca Akl, Elie Lotfi, Tamara Van Schalkwyk, May Welch, Vivian Ci Van Schalkwyk, May Kristjannson, Elizabeth Petkovic, Jennifer Pottie, Kevin
Source	Elsevier; Medline; PMC
abstract	Abstract: Introduction Coronavirus disease 2019 (COVID-19) is a global pandemic. Governments have implemented combinations of ‘lockdown’ measures of various stringencies, including school and workplace closures, cancellations of public events, and restrictions on internal and external movements. These policy interventions are an attempt to shield high risk individuals and to prevent overwhelming countries’ healthcare systems, or, colloquially, ‘flatten the curve’. However, these policy interventions may come with physical and psychological health harms, group and social harms, and opportunity costs. These policies may particularly affect vulnerable populations and not only exacerbate pre-existing inequities, but also generate new ones. Methods We developed a conceptual framework to identify and categorise adverse effects of COVID-19 lockdown measures. We based our framework on Lorenc and Oliver’s framework for the adverse effects of public health interventions and the PROGRESS-Plus equity framework. To test its application we purposively sampled COVID-19 policy examples from around the world and evaluated them for the potential physical, psychological, and social harms, as well as opportunity costs, in each of the PROGRESS-Plus equity domains: Place of residence, Race/ethnicity, Occupation, Gender/sex, Religion, Education, Socioeconomic status, Social capital, Plus (age, and disability). Results We found examples of inequitably distributed adverse effects for each COVID-19 lockdown policy example, stratified by LMIC and HIC, in every PROGRESS-Plus equity domain. We identified known policy interventions intended to mitigate some of these adverse effects. The same harms (anxiety; depression; food insecurity; loneliness; stigma; violence) appear to be repeated across many groups, and are exacerbated by several COVID-19 policy interventions. Conclusion Our conceptual framework highlights the fact that COVID-19 policy interventions can generate or exacerbate interactive and multiplicative equity harms. Applying this framework can help in three ways: (1) identifying areas where a policy intervention may generate inequitable adverse effects; (2) mitigating policy and practice interventions by facilitating the systematic examination of relevant evidence; and (3) planning for lifting COVID-19 lockdowns and policy interventions around the world.
has issue date	2020-06-09(xsd:dateTime)
bibo:doi	10.1016/j.jclinepi.2020.06.004
bibo:pmid	32526461
has license	els-covid
sha1sum (hex)	0333b149fa1bad7b40013227fa125d7a90745265
schema:url	https://doi.org/10.1016/j.jclinepi.2020.06.004
resource representing a document's title	A framework for identifying and mitigating the equity harms of COVID-19 policy interventions
has PubMed Central identifier	PMC7280094
has PubMed identifier	32526461
schema:publication	J Clin Epidemiol
resource representing a document's body	covid:0333b149fa1bad7b40013227fa125d7a90745265#body_text
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