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A hybrid simulation approach for planning health and social care services

A hybrid simulation approach for planning health and social care services
A hybrid simulation approach for planning health and social care services
Discrete-event simulation (DES) has been recognised for many years as a powerful tool to support the commissioning and resourcing of health and social care services, due to its ability to capture real-world variability. However, the complex interactions between two distinct but clearly related processes, disease progression and care provision, can lead to such models being cumbersome and lacking in transparency. Representing disease progression as a series of queues and activities is not always intuitive to a non-modeller. This paper presents a novel hybrid simulation approach in which health status is modelled using statecharts, thus combining DES with agent-based simulation. This hybrid approach allows disease progression to be modelled in a more natural way, keeping the overall model structure relatively simple. The approach is illustrated by a case study that evaluates the impact of telecare services for supporting people with dementia.
Hybrid simulation, dementia, social care, statechart, telecare
1747-7778
Penny, Katherine
149f3803-1923-4e59-a1a8-538aa6024002
Bayer, Steffen
28979328-d6fa-4eb7-b6de-9ef97f8e8e97
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f
Penny, Katherine
149f3803-1923-4e59-a1a8-538aa6024002
Bayer, Steffen
28979328-d6fa-4eb7-b6de-9ef97f8e8e97
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f

Penny, Katherine, Bayer, Steffen and Brailsford, Sally (2022) A hybrid simulation approach for planning health and social care services. Journal of Simulation. (doi:10.1080/17477778.2022.2035275).

Record type: Article

Abstract

Discrete-event simulation (DES) has been recognised for many years as a powerful tool to support the commissioning and resourcing of health and social care services, due to its ability to capture real-world variability. However, the complex interactions between two distinct but clearly related processes, disease progression and care provision, can lead to such models being cumbersome and lacking in transparency. Representing disease progression as a series of queues and activities is not always intuitive to a non-modeller. This paper presents a novel hybrid simulation approach in which health status is modelled using statecharts, thus combining DES with agent-based simulation. This hybrid approach allows disease progression to be modelled in a more natural way, keeping the overall model structure relatively simple. The approach is illustrated by a case study that evaluates the impact of telecare services for supporting people with dementia.

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Accepted/In Press date: 23 January 2022
e-pub ahead of print date: 12 February 2022
Published date: 12 February 2022
Additional Information: Funding Information: This work originally formed part of the Care Life Cycle (CLC) Project; a five-year multidisciplinary research programme funded by the Engineering and Physical Sciences Research Council (EPSRC) (2010-15, grant number EP/H021698/1). We would like to thank Dr. Eldon Spackman, who kindly provided an Excel spreadsheet version of the model used in Spackman et al. (), which allowed us to apply the transition rates within our dementia statechart. We would also like to thank the system experts who participated in interviews which informed the model design and inputs. Finally, we thank Dr. Martin Kunc for his insightful comments on an earlier version of this paper. Publisher Copyright: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords: Hybrid simulation, dementia, social care, statechart, telecare

Identifiers

Local EPrints ID: 454892
URI: http://eprints.soton.ac.uk/id/eprint/454892
ISSN: 1747-7778
PURE UUID: b85c7bcb-43c9-4bfc-9524-0a1a22e917bd
ORCID for Steffen Bayer: ORCID iD orcid.org/0000-0002-7872-467X
ORCID for Sally Brailsford: ORCID iD orcid.org/0000-0002-6665-8230

Catalogue record

Date deposited: 01 Mar 2022 17:37
Last modified: 17 Mar 2024 02:37

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Contributors

Author: Katherine Penny
Author: Steffen Bayer ORCID iD

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