Risk Stratification for Healthcare workers during the CoViD-19 Pandemic; using demographics, co-morbid disease and clinical domain in order to assign clinical duties

Jankowski, Janusz; davies, Angharad; English, Peter; Friedman, Ellis; McKeown, Helena; Rao, Mala; Sethi, Su; Strain, W David

Healthcare workers have a greater exposure to individuals with confirmed SARS-novel coronavirus 2, and thus a higher probability of contracting coronavirus disease (CoViD)-19, than the general population. Employers have a duty of care to minimise the risk for their employees. Several bodies including the Faculty of Occupational Medicine, NHS Employers, and Public Health England have published a requirement to perform risk assessments for all health care workers, however, with the absence of an objective risk stratification tool, comparing assessments between individuals is difficult if not impossible. Using published data, we explored the predictive role of basic demographics such as age, sex, ethnicity and comorbidities in order to establish an objective risk stratification tool that could help risk allocate duties to health care workers. We developed an objective risk stratification tool using a Caucasian female <50years of age with no comorbidities as a reference. Each point allocated to risk factors was associated with an approximate doubling in risk. This tool was then validated against the primary care-based analysis. This tool provides objective support for employers when determining which healthcare workers should be allocated to high-risk vs. lower risk patient facing clinical duties or to remote supportive roles.;