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A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom

BACKGROUND: The number of people affected by cataract in the United Kingdom (UK) is growing rapidly due to ageing population. As the only way to treat cataract is through surgery, there is a high demand for this type of surgery and figures indicate that it is the most performed type of surgery in th...

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Autores principales: Demir, Eren, Southern, David, Rashid, Syed, Lebcir, Reda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278024/
https://www.ncbi.nlm.nih.gov/pubmed/30514277
http://dx.doi.org/10.1186/s12913-018-3741-2
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author Demir, Eren
Southern, David
Rashid, Syed
Lebcir, Reda
author_facet Demir, Eren
Southern, David
Rashid, Syed
Lebcir, Reda
author_sort Demir, Eren
collection PubMed
description BACKGROUND: The number of people affected by cataract in the United Kingdom (UK) is growing rapidly due to ageing population. As the only way to treat cataract is through surgery, there is a high demand for this type of surgery and figures indicate that it is the most performed type of surgery in the UK. The National Health Service (NHS), which provides free of charge care in the UK, is under huge financial pressure due to budget austerity in the last decade. As the number of people affected by the disease is expected to grow significantly in coming years, the aim of this study is to evaluate whether the introduction of new processes and medical technologies will enable cataract services to cope with the demand within the NHS funding constraints. METHODS: We developed a Discrete Event Simulation model representing the cataract services pathways at Leicester Royal Infirmary Hospital. The model was inputted with data from national and local sources as well as from a surgery demand forecasting model developed in the study. The model was verified and validated with the participation of the cataract services clinical and management teams. RESULTS: Four scenarios involving increased number of surgeries per half-day surgery theatre slot were simulated. Results indicate that the total number of surgeries per year could be increased by 40% at no extra cost. However, the rate of improvement decreases for increased number of surgeries per half-day surgery theatre slot due to a higher number of cancelled surgeries. Productivity is expected to improve as the total number of doctors and nurses hours will increase by 5 and 12% respectively. However, non-human resources such as pre-surgery rooms and post-surgery recovery chairs are under-utilized across all scenarios. CONCLUSIONS: Using new processes and medical technologies for cataract surgery is a promising way to deal with the expected higher demand especially as this could be achieved with limited impact on costs. Non-human resources capacity need to be evenly levelled across the surgery pathway to improve their utilisation. The performance of cataract services could be improved by better communication with and proactive management of patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3741-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-62780242018-12-06 A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom Demir, Eren Southern, David Rashid, Syed Lebcir, Reda BMC Health Serv Res Research Article BACKGROUND: The number of people affected by cataract in the United Kingdom (UK) is growing rapidly due to ageing population. As the only way to treat cataract is through surgery, there is a high demand for this type of surgery and figures indicate that it is the most performed type of surgery in the UK. The National Health Service (NHS), which provides free of charge care in the UK, is under huge financial pressure due to budget austerity in the last decade. As the number of people affected by the disease is expected to grow significantly in coming years, the aim of this study is to evaluate whether the introduction of new processes and medical technologies will enable cataract services to cope with the demand within the NHS funding constraints. METHODS: We developed a Discrete Event Simulation model representing the cataract services pathways at Leicester Royal Infirmary Hospital. The model was inputted with data from national and local sources as well as from a surgery demand forecasting model developed in the study. The model was verified and validated with the participation of the cataract services clinical and management teams. RESULTS: Four scenarios involving increased number of surgeries per half-day surgery theatre slot were simulated. Results indicate that the total number of surgeries per year could be increased by 40% at no extra cost. However, the rate of improvement decreases for increased number of surgeries per half-day surgery theatre slot due to a higher number of cancelled surgeries. Productivity is expected to improve as the total number of doctors and nurses hours will increase by 5 and 12% respectively. However, non-human resources such as pre-surgery rooms and post-surgery recovery chairs are under-utilized across all scenarios. CONCLUSIONS: Using new processes and medical technologies for cataract surgery is a promising way to deal with the expected higher demand especially as this could be achieved with limited impact on costs. Non-human resources capacity need to be evenly levelled across the surgery pathway to improve their utilisation. The performance of cataract services could be improved by better communication with and proactive management of patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3741-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-04 /pmc/articles/PMC6278024/ /pubmed/30514277 http://dx.doi.org/10.1186/s12913-018-3741-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Demir, Eren
Southern, David
Rashid, Syed
Lebcir, Reda
A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom
title A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom
title_full A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom
title_fullStr A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom
title_full_unstemmed A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom
title_short A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom
title_sort discrete event simulation model to evaluate the treatment pathways of patients with cataract in the united kingdom
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278024/
https://www.ncbi.nlm.nih.gov/pubmed/30514277
http://dx.doi.org/10.1186/s12913-018-3741-2
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