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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/9330

Title: Modeling patient waiting times for an obesity service: a computer simulation study
Authors: Tako, Antuela A.
Kotiadis, Katherine
Vasilakis, Christos
Miras, Alexander
le Roux, Carel W.
Keywords: Modeling
Simulation
Obesity
Patient waiting times
Issue Date: 2012
Publisher: © Health Research and Educational Trust (Wiley-Blackwell)
Citation: TAKO, A.A. ... et al., (In review). Modeling patient waiting times for an obesity service: a computer simulation study. [Submitted for publication].
Abstract: Objective: To investigate the impact of alternative resource configurations on patient waiting times for obesity centers experiencing high referral rates. Study design: We developed a computer simulation model of an obesity service in an Academic Health Science Centre (AHSC) providing lifestyle, pharmacotherapy and surgery treatment options for the UK’s National Health Service (NHS). Data collection: Model parameters on existing and projected demand and supply of treatments offered at an obesity service were collected. Principal findings: Simulation results showed that the introduction of an additional surgeon improves patient waiting times for surgery. The addition of one physician reduces the waiting list for pharmacotherapy clinics, but without an additional surgeon, the surgical part of the pathway experiences long waiting times. Demand for the obesity treatments can be met by adding new resources, but also by managing demand for services and reducing referrals into the service. A phased implementation of resources was also modeled to guide decisions. Conclusions: Simulation models can be used to identify resource configurations required to meet maximum waiting time targets from referral to treatment such as the UK’s NHS 18 week target. This is achieved by considering a number of future scenarios.
Description: This article was submitted for publication in the journal, Health Services Research [© Health Research and Educational Trust]: http://www.blackwellpublishing.com/journal.asp?ref=0017-9124&site=1
Version: Submitted for publication
URI: https://dspace.lboro.ac.uk/2134/9330
ISSN: 0017-9124
0017-9124
Appears in Collections:Pre-Prints (Business School)

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