Local analyses on those clinically extremely vulnerable to COVID-19 Networked Data Lab partner reports on the impact of shielding
15 June 2021
As part of our research on the impact of shielding on those clinically extremely vulnerable (CEV) to COVID-19, the Networked Data Lab has published analysis exploring the needs of CEV people, demographic variation in those advised to shield, and the impact of shielding on hospital use.
Further novel analyses have been carried out by each of our partners, examining local level linked data. Each partner has focused on an issue which has significance for their local area.
Follow the links below to read the reports on Github.
This descriptive analysis provides further intelligence on the complexity of care need in the CEV cohort. This research links the Leeds Data Model and the CEV with their frailty category, and whether they have received support from Leeds Council Adult Social Care services.
This research focuses on the mental health of those shielding.
This analysis examines the rate at which antidepressants were prescribed during the pandemic in Liverpool and Wirral.
This analysis focuses on mental health diagnosis and intentional self harm, along with feasibility analysis covering employment status and suicide risk assessment clinical coding.
This analysis focuses on who was identified as clinically extremely vulnerable, how their healthcare changed during isolation, and whether this process exacerbated healthcare inequalities.
Further reading
Work with us
We look for talented and passionate individuals as everyone at the Health Foundation has an important role to play.
View current vacanciesThe Q community
Q is an initiative connecting people with improvement expertise across the UK.
Find out more
