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Predicted and observed impacts of COVID-19 lockdowns: two Health Impact Assessments in Scotland and Wales.

Authors :
Green, Liz
Ashton, Kathryn
Bellis, Mark
Clements, Timo
Douglas, Margaret
Source :
Health Promotion International. Dec2022, Vol. 37 Issue 6, p1-14. 14p.
Publication Year :
2022

Abstract

Health Impact Assessment is a key approach used internationally to identify positive or negative impacts of policies, plans and proposals on health and well-being. In 2020, HIAs were undertaken in Scotland and Wales to identify the potential health and well-being impacts of the 'stay at home' and physical distancing measures implemented at the start of the coronavirus disease (COVID-19) pandemic. There is sparse evidence evaluating whether the impacts predicted in HIAs occur following policy implementation. This paper evaluates the impacts anticipated in the COVID-19 HIAs against actual observed trends. The processes undertaken were compared and predicted impacts were tabulated by population groups and main determinants of health. Routine data and literature evidence were collated to compare predicted and observed impacts. Nearly all health impacts anticipated in both HIAs have occurred in the direction predicted. There have been significant adverse impacts through multiple direct and indirect pathways including loss of income, social isolation, disruption to education and services, and psychosocial effects. This research demonstrates the value of prediction in impact assessment and fills a gap in the literature by comparing the predicted impacts identified within the HIAs with observed trends. Post-COVID-19 recovery should centre health and well-being within future policies and decisions. Processes like HIA can support this as part of a 'health in all policies' approach to improve the health and well-being of populations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09574824
Volume :
37
Issue :
6
Database :
Academic Search Index
Journal :
Health Promotion International
Publication Type :
Academic Journal
Accession number :
161134776
Full Text :
https://doi.org/10.1093/heapro/daac134