Evidence map›Paper›PMID 28560492›Full record

SynthesisPharmacoEconomics2017

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

Syed Salleh, Praveen Thokala, Alan Brennan, Ruby Hughes, Andrew Booth

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in PharmacoEconomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  3. Simulation modeling validity and utility in colorectal cancer screening delivery: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020
    Pooled it
  4. Pooled it
  5. Review
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  17. Physiotherapy Canada. Physiotherapie Canada · 2022
    Article
  18. Review
  19. Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.International journal of environmental research and public health · 2021
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Syed SallehSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK. SSAbdulRahman1@sheffield.ac.uk.ORCID http://orcid.org/0000-0001-9661-7125
Praveen ThokalaSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Alan BrennanSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Ruby HughesSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Andrew BoothSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies examine simulation modelling in healthcare. These studies present a bewildering array of simulation techniques and applications, making it challenging to characterise the literature.

objectiveThe aim of this paper is to provide an overview of the level of activity of simulation modelling in healthcare and the key themes.

methodsWe 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.

resultsThe 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.

conclusionSimulation 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.

Indexed as

Computer SimulationModels, TheoreticalSystematic Reviews as TopicDelivery of Health CareHumansResearch DesignSoftware

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.