Modelling the effect of first-wave COVID-19 on mental health services. (September 2021)

• Record Type: Journal Article
• Authors: Murch, B.J.; Cooper, J.A.; Hodgett, T.J.; Gara, E.L.; Walker, J.S.; Wood, R.M.
• Is Part Of: Operations research for health care. Volume 30(2021)
• Publication Date: 2021-09
• Subjects: COVID-19 -- Coronavirus -- Mental health -- Simulation -- Queueing network; Medical care -- Mathematical models -- Periodicals; Medical policy -- Mathematical models -- Periodicals; Health services administration -- Mathematical models -- Periodicals; Operations research -- Periodicals; Operations Research -- Periodicals; Health Services Research -- Periodicals; Health Policy -- Periodicals; Delivery of Health Care -- Periodicals; 362.106805
• DOI: 10.1016/j.orhc.2021.100311
• Languages: English
• ISSNs: 2211-6923

Abstract

Abstract: During the first wave of the COVID-19 pandemic it emerged that the nature and magnitude of demand for mental health services was changing. Considerable increases were expected to follow initial lulls as treatment was sought for new and existing conditions following relaxation of 'lockdown' measures. For this to be managed by the various services that constitute a mental health system, it would be necessary to complement such projections with assessments of capacity, in order to understand the propagation of demand and the value of any consequent mitigations. This paper provides an account of exploratory modelling undertaken within a major UK healthcare system during the first wave of the pandemic, when actionable insights were in short supply and decisions were made under much uncertainty. In understanding the impact on post-lockdown operational performance, the objective was to evaluate the efficacy of two considered interventions against a baseline 'do nothing' scenario. In doing so, a versatile and purpose-built discrete time simulation model was developed, calibrated and used by a multi-disciplinary project working group. The solution, representing a multi-node, multi-server queueing network with reneging, is implemented in open-source software and is freely and publicly available. Graphical abstract: