Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews

Syed Salleh (), Praveen Thokala, Alan Brennan, Ruby Hughes and Andrew Booth
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Syed Salleh: University of Sheffield
Praveen Thokala: University of Sheffield
Alan Brennan: University of Sheffield
Ruby Hughes: University of Sheffield
Andrew Booth: University of Sheffield

PharmacoEconomics, 2017, vol. 35, issue 9, No 7, 937-949

Abstract: Abstract Background Numerous studies examine simulation modelling in healthcare. These studies present a bewildering array of simulation techniques and applications, making it challenging to characterise the literature. Objective The aim of this paper is to provide an overview of the level of activity of simulation modelling in healthcare and the key themes. Methods We performed an umbrella review of systematic literature reviews of simulation modelling in healthcare. Searches were conducted of academic databases (JSTOR, Scopus, PubMed, IEEE, SAGE, ACM, Wiley Online Library, ScienceDirect) and grey literature sources, enhanced by citation searches. The articles were included if they performed a systematic review of simulation modelling techniques in healthcare. After quality assessment of all included articles, data were extracted on numbers of studies included in each review, types of applications, techniques used for simulation modelling, data sources and simulation software. Results The search strategy yielded a total of 117 potential articles. Following sifting, 37 heterogeneous reviews were included. Most reviews achieved moderate quality rating on a modified AMSTAR (A Measurement Tool used to Assess systematic Reviews) checklist. All the review articles described the types of applications used for simulation modelling; 15 reviews described techniques used for simulation modelling; three reviews described data sources used for simulation modelling; and six reviews described software used for simulation modelling. The remaining reviews either did not report or did not provide enough detail for the data to be extracted. Conclusion Simulation modelling techniques have been used for a wide range of applications in healthcare, with a variety of software tools and data sources. The number of reviews published in recent years suggest an increased interest in simulation modelling in healthcare.

Date: 2017
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DOI: 10.1007/s40273-017-0523-3

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