ArticleBMC health services research2017
A discrete event simulation model to evaluate the use of community services in the treatment of patients with Parkinson's disease in the United Kingdom.
Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Application of discrete event simulation in health care: a systematic review.BMC health services research · 2018Pooled it
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- Operational Modeling with Health Economics to Support Decision Making for COPD Patients.Health services research · 2021Article
- Optimizing planning and design of COVID-19 drive-through mass vaccination clinics by simulation.Health and technology · 2021Article
- Review
- Discrete-Event Simulation Modeling of Critical Care Flow: New Hospital, Old Challenges.Critical care explorations · 2020Article
- Patient-Centric Care for Parkinson's Disease: From Hospital to the Community.Frontiers in neurology · 2020Review
- A discrete event simulation model to evaluate the treatment pathways of patients with cataract in the United Kingdom.BMC health services research · 2018Article
- A discrete event simulation approach for reserving capacity for emergency patients in the radiology department.BMC health services research · 2018Article
- Multi-disciplinary planning in health care: a review.Health systems (Basingstoke, England) · 2018Review
- A Step-by-Step Framework on Discrete Events Simulation in Emergency Department; A Systematic Review.Bulletin of emergency and trauma · 2017Review
- Effectiveness of Health Guidance Simulation in Community Settings for Public Health Nursing Students: A Preliminary Study.SAGE open nursingArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe number of people affected by Parkinson's disease (PD) is increasing in the United Kingdom driven by population ageing. The treatment of the disease is complex, resource intensive and currently there is no known cure to PD. The National Health Service (NHS), the public organisation delivering healthcare in the UK, is under financial pressures. There is a need to find innovative ways to improve the operational and financial performance of treating PD patients. The use of community services is a new and promising way of providing treatment and care to PD patients at reduced cost than hospital care. The aim of this study is to evaluate the potential operational and financial benefits, which could be achieved through increased integration of community services in the delivery of treatment and care to PD patients in the UK without compromising care quality.
methodsA Discrete Event Simulation model was developed to represent the PD care structure including patients' pathways, treatment modes, and the mix of resources required to treat PD patients. The model was parametrised with data from a large NHS Trust in the UK and validated using information from the same trust. Four possible scenarios involving increased use of community services were simulated on the model.
resultsShifting more patients with PD from hospital treatment to community services will reduce the number of visits of PD patients to hospitals by about 25% and the number of PD doctors and nurses required to treat these patients by around 32%. Hospital based treatment costs overall should decrease by 26% leading to overall savings of 10% in the total cost of treating PD patients.
conclusionsThe simulation model was useful in predicting the effects of increased use of community services on the performance of PD care delivery. Treatment policies need to reflect upon and formalise the use of community services and integrate these better in PD care. The advantages of community services need to be effectively shared with PD patients and carers to help inform management choices and care plans.
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