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.
Original language | English |
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Pages (from-to) | 521-525 |
Number of pages | 5 |
Journal | Health Care Management Science |
Volume | 25 |
Issue number | 4 |
Early online date | 7 Oct 2022 |
DOIs | |
Publication status | Published - 31 Dec 2022 |
Bibliographical note
Funding Information:The author is grateful to Nick Howlett for his support in data collection and processing. The author is also grateful for the helpful suggestions from the anonymous reviewers.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Keywords
- COVID-19
- Elective care
- Mathematical modelling
- Operations Research
- Waiting lists
ASJC Scopus subject areas
- Medicine (miscellaneous)
- General Health Professions