Application of Discrete-Event Simulation for Planning and Operations Issues in Mental Healthcare

Noorain, Sheema; Kotiadis, Kathy; Scaparra, Maria Paola

doi:10.1109/wsc40007.2019.9004749

Cited by 6 publications

(7 citation statements)

References 58 publications

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“…In terms of advancing the academic literature, at a practical level, this is one of few studies to model a system of mental health services [17] , and the first known attempt to do so in light of COVID-19. It is also one of relatively few studies to consider discrete time over discrete event simulation, addressing what is perhaps an undue balance given the computational efficiency advantages.…”

Section: Discussionmentioning

confidence: 99%

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Modelling the effect of first-wave COVID-19 on mental health services

Murch

Cooper

Hodgett

et al. 2021

Operations Research for Health Care

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Section: Discussionmentioning

confidence: 99%

“…Turning to the pre COVID-19 literature, it is fairly well recognised that the modelling of mental health services has been under-used when compared to aspects of physical healthcare [16] , [17] . In two case studies, Smith et al.…”

Section: Introductionmentioning

confidence: 99%

Modelling the effect of first-wave COVID-19 on mental health services

Murch

Cooper

Hodgett

et al. 2021

Operations Research for Health Care

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“…Despite this, it has been noted that there is a scarcity of literature reviews of the applications of simulation modelling to mental healthcare and services, as evidenced by Long and Meadows (2018) [7]. In turn, this holds true for DES as well, and Noorain et al (2019) [8] found just ten applications of DES to mental health services over the period from 2000 to 2019.…”

Section: Relevant Workmentioning

confidence: 99%

“…(2019) [8], giving a total of nineteen applications of DES to mental health services. These papers overwhelmingly focus on applications in hospital or inpatient settings, with a noticeable gap of applications to single psychology clinics, which this paper aims to add to.…”

Section: Relevant Workmentioning

confidence: 99%

Modelling the Accessibility of Adult Psychology Services Using Discrete Event Simulation

Howells¹,

Andrew²,

Gärtner³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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With a growing number of people seeking treatment for mental health problems, mental health services are consequently coming under increased pressure resulting in longer waiting times and worsening of mental health problems. Service underfunding, overworked staff, and the looming threat of further demand due to the COVID-19 pandemic only add to the concerns. Hence it is imperative the efficiencies of these services are maximised to allow better access to quality treatment. We created a Discrete Event Simulation model to replicate the current clinical approach taken in an adult psychology clinic in the U.K.'s National Health Service. The model identifies bottlenecks in the service, and provides results on how different staffing scenarios could alleviate challenges.

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“…In contrast, the mental/psychological care services have been noted as an area of neglect in OR (Bradley et al, 2017 ). For instance, existing reviews explore the application of specific OR methodologies, such as simulation (Langellier et al, 2019 ; Long & Meadows, 2018 ; Noorain et al, 2019 ), and Data Envelopment Analysis (García-Alonso et al, 2019 ), on mental healthcare services. In contrast, a comprehensive review of the application of optimisation methodologies to mental healthcare in the OR literature is lacking.…”

Section: Introductionmentioning

confidence: 99%

Mind the gap: a review of optimisation in mental healthcare service delivery

Noorain¹,

Scaparra²,

Kotiadis³

2022

Health Systems

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Well-planned care arrangements with effective distribution of available resources have the potential to address inefficiencies in mental health services. We begin by exploring the complexities associated with mental health and describe how these influence service delivery. We then conduct a scoping literature review of studies employing optimisation techniques that address service delivery issues in mental healthcare. Studies are classified based on criteria such as the type of planning decision addressed, the purpose of the study and care setting. We analyse the modelling methodologies used, objectives, constraints and model solutions. We find that the application of optimisation to mental healthcare is in its early stages compared to the rest of healthcare. Commonalities between mental healthcare service provision and other services are discussed, and the future research agenda is outlined. We find that the existing application of optimisation in specific healthcare settings can be transferred to mental healthcare. Also highlighted are opportunities for addressing specific issues faced by mental healthcare services.

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Application of Discrete-Event Simulation for Planning and Operations Issues in Mental Healthcare

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 6 publications

References 58 publications

Modelling the effect of first-wave COVID-19 on mental health services

Modelling the effect of first-wave COVID-19 on mental health services

Modelling the Accessibility of Adult Psychology Services Using Discrete Event Simulation

Mind the gap: a review of optimisation in mental healthcare service delivery

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