posted on 2025-08-01, 14:59authored byWD Strain, J Jankowski, A Davies, PM English, E Friedman, H McKeown, S Sethi, M Rao
Objectives: Healthcare workers have greater exposure
to SARS-CoV-2 and an estimated 2.5-fold increased risk
of contracting COVID-19 than the general population.
We wished to explore the predictive role of basic
demographics to establish a simple tool that could help
risk stratify healthcare workers.
Setting: We undertook a review of the published literature
(including multiple search strategies in MEDLINE with
PubMed interface) and critically assessed early reports on
preprint servers. We explored the relative risk of mortality
from readily available demographics to identify the
population at the highest risk.
Results: The published studies specifically assessing
the risk of healthcare workers had limited demographics
available; therefore, we explored the general population in
the literature. Clinician demographics: Mortality increased
with increasing age from 50 years onwards. Male sex at
birth, and people of black and minority ethnicity groups
had higher susceptibility to both hospitalisation and
mortality. Comorbid disease. Vascular disease, renal
disease, diabetes and chronic pulmonary disease further
increased risk. Risk stratification tool: A risk stratification
tool was compiled using a white female <50 years with
no comorbidities as a reference. A point allocated to risk
factors was associated with an approximate doubling in
risk. This tool provides numerical support for healthcare
workers when determining which team members should
be allocated to patient facing clinical duties compared with
remote supportive roles.
Conclusions: We generated a tool that provides a
framework for objective risk stratification of doctors and
healthcare professionals during the COVID-19 pandemic,
without requiring disclosure of information that an
individual may not wish to share with their direct line
manager during the risk assessment process. This tool
has been made freely available through the British Medical
Association website and is widely used in the National
Health Service and other external organisations.
This is the final version. Available from BMJ Publishing via the DOI in this record.
Data availability statement: All data relevant to the study are included in the
article or uploaded as supplementary information. This manuscript is based on
a secondary analysis of published data. The analysis plan and Stata output are
available on contact with WDS.