Supporting COVID-19 elective recovery through scalable wait list modelling: Specialty-level application to all hospitals in England

Richard M Wood ()
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Richard M Wood: UK National Health Service (BNSSG Integrated Care Board)

Health Care Management Science, 2022, vol. 25, issue 4, No 1, 525 pages

Abstract: Abstract The recovery of elective waiting lists represents a major challenge and priority for the health services of many countries. In England’s National Health Service (NHS), the waiting list has increased by 45% in the two years since the COVID-19 pandemic was declared in March 2020. Long waits associate with worse patient outcomes and can deepen inequalities and lead to additional demands on healthcare resources. Modelling the waiting list can be valuable for both estimating future trajectories and considering alternative capacity allocation strategies. However, there is a deficit within the current literature of scalable solutions that can provide managers and clinicians with hospital and specialty level projections on a routine basis. In this paper, a model representing the key dynamics of the waiting list problem is presented alongside its differential equation based solution. Versatility of the model is demonstrated through its calibration to routine publicly available NHS data. The model has since been used to produce regular monthly projections of the waiting list for every hospital trust and specialty in England.

Keywords: COVID-19; Elective care; Waiting lists; Mathematical modelling; Operations Research (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10729-022-09615-2

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