Literature DB >> 10187203

Simulation applied to health services: opportunities for applying the system dynamics approach.

K Taylor1, D Lane.   

Abstract

The aim of this essay is to raise awareness and broaden understanding within the health services community of the system dynamics (SD) simulation approach to policy analysis. The application of simulation in health services is reviewed. A comparison is made between the SD and traditional simulation approaches and is illustrated by considering reductions in waiting times for coronary heart disease treatment. Traditionally, simulation studies have tended to focus on the analysis of localized decisions and therefore on problems orientated towards individual patients. Although these methods are extremely powerful and effective, there is scope for an alternative modelling approach which is based on a more holistic perspective; SD is one such approach. It can assist in the design of robust policies by supporting debate on how the underlying structure might influence the evolutionary behaviour of a system. Using this method we can consider the time variation both of tangibles, such as waiting times and health care costs, and intangibles, such as patient anxiety and the effects of various pressures on purchasing decisions. We propose that SD holds great potential in assisting policy formation in health care.

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Year:  1998        PMID: 10187203     DOI: 10.1177/135581969800300409

Source DB:  PubMed          Journal:  J Health Serv Res Policy        ISSN: 1355-8196


  9 in total

Review 1.  Modelling methods for pharmacoeconomics and health technology assessment: an overview and guide.

Authors:  James E Stahl
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

2.  Withdrawing low risk women from cervical screening programmes: mathematical modelling study.

Authors:  C Sherlaw-Johnson; S Gallivan; D Jenkins
Journal:  BMJ       Date:  1999-02-06

3.  Simulating the impact of long-term care policy on family eldercare hours.

Authors:  John P Ansah; David B Matchar; Sean R Love; Rahul Malhotra; Young Kyung Do; Angelique Chan; Robert Eberlein
Journal:  Health Serv Res       Date:  2013-01-24       Impact factor: 3.402

Review 4.  Systematic review of the use of computer simulation modeling of patient flow in surgical care.

Authors:  Boris G Sobolev; Victor Sanchez; Christos Vasilakis
Journal:  J Med Syst       Date:  2009-07-07       Impact factor: 4.460

5.  Quantifying the effect of complications on patient flow, costs and surgical throughputs.

Authors:  Ahmed Almashrafi; Laura Vanderbloemen
Journal:  BMC Med Inform Decis Mak       Date:  2016-10-21       Impact factor: 2.796

6.  How the health-seeking behaviour of pregnant women affects neonatal outcomes: findings of system dynamics modelling in Pakistan.

Authors:  Raheelah Ahmad; Nina Jiayue Zhu; Reda Mohamed Lebcir; Rifat Atun
Journal:  BMJ Glob Health       Date:  2019-03-30

Review 7.  From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy.

Authors:  Guillaume Lamé; Rebecca K Simmons
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2020-03-02

8.  Emergency department crowding in Singapore: Insights from a systems thinking approach.

Authors:  Lukas K Schoenenberger; Steffen Bayer; John P Ansah; David B Matchar; Rajagopal L Mohanavalli; Sean Sw Lam; Marcus Eh Ong
Journal:  SAGE Open Med       Date:  2016-10-04

9.  Applications of simulation within the healthcare context.

Authors:  K Katsaliaki; N Mustafee
Journal:  J Oper Res Soc       Date:  2010-10-13
  9 in total

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