Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods

Syed Mohiuddin, John Busby, Jelena Savovic, Alison Richards, Kate Northstone, William Hollingworth, Jenny Donovan, Christos Vasilakis

Research output: Contribution to journalArticle

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Abstract

Background: Overcrowding in the emergency department (ED) is common in the UK as in other countries worldwide. Computer simulation is one approach used for understanding the causes of ED overcrowding and assessing the likely impact of changes to the delivery of emergency care. However, little is known about the usefulness of computer simulation for analysis of ED patient flow. We undertook a systematic review to investigate the different computer simulation methods and their contribution for analysis of patient flow within EDs in the UK.

Methods: We searched eight bibliographic databases (MEDLINE; EMBASE; COCHRANE; WEB OF SCIENCE; CINAHL; INSPEC; MATHSCINET; and ACM DIGITAL LIBRARY) from date of inception until 31 March 2016. Studies were included if they used a computer simulation method to capture patient progression within the ED of an established UK NHS hospital. Studies were summarised in terms of simulation method, key assumptions, input and output data, conclusions drawn, and implementation of results.

Results: Twenty one studies met the inclusion criteria. Of these, 19 used discrete event simulation and 2 used system dynamics models. The purpose of many of these studies (n=16; 76%) centred on service redesign. Seven studies (33%) provided no details about the ED being investigated. Most studies (n=18; 86%) used specific hospital models of ED patient flow. Overall, the reporting of underlying modelling assumptions was poor. Nineteen studies (90%) considered patient waiting or throughput times as the key outcome measure. Twelve studies (57%) reported some involvement of stakeholders in the simulation study. However, only 3 studies (14%) reported on the implementation of changes supported by the simulation.

Conclusions: We found that computer simulation can provide a means to pre-test changes to ED care delivery before implementation in a safe and efficient manner. However, there are some methodological, data, stakeholder, implementation, and reporting issues, which must be addressed by future studies.
LanguageEnglish
Article numbere015007
Number of pages14
JournalBMJ Open
Volume7
DOIs
StatusPublished - 1 May 2017

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Computer Simulation
Hospital Emergency Service
Emergency Medical Services
Bibliographic Databases
MEDLINE
Outcome Assessment (Health Care)

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Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods. / Mohiuddin, Syed; Busby, John; Savovic, Jelena; Richards, Alison; Northstone, Kate; Hollingworth, William; Donovan, Jenny; Vasilakis, Christos.

In: BMJ Open, Vol. 7, e015007, 01.05.2017.

Research output: Contribution to journalArticle

Mohiuddin, S, Busby, J, Savovic, J, Richards, A, Northstone, K, Hollingworth, W, Donovan, J & Vasilakis, C 2017, 'Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods' BMJ Open, vol. 7, e015007. DOI: 10.1136/bmjopen-2016-015007
Mohiuddin S, Busby J, Savovic J, Richards A, Northstone K, Hollingworth W et al. Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods. BMJ Open. 2017 May 1;7. e015007. Available from, DOI: 10.1136/bmjopen-2016-015007
Mohiuddin, Syed ; Busby, John ; Savovic, Jelena ; Richards, Alison ; Northstone, Kate ; Hollingworth, William ; Donovan, Jenny ; Vasilakis, Christos. / Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods. In: BMJ Open. 2017 ; Vol. 7.
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abstract = "Background: Overcrowding in the emergency department (ED) is common in the UK as in other countries worldwide. Computer simulation is one approach used for understanding the causes of ED overcrowding and assessing the likely impact of changes to the delivery of emergency care. However, little is known about the usefulness of computer simulation for analysis of ED patient flow. We undertook a systematic review to investigate the different computer simulation methods and their contribution for analysis of patient flow within EDs in the UK. Methods: We searched eight bibliographic databases (MEDLINE; EMBASE; COCHRANE; WEB OF SCIENCE; CINAHL; INSPEC; MATHSCINET; and ACM DIGITAL LIBRARY) from date of inception until 31 March 2016. Studies were included if they used a computer simulation method to capture patient progression within the ED of an established UK NHS hospital. Studies were summarised in terms of simulation method, key assumptions, input and output data, conclusions drawn, and implementation of results. Results: Twenty one studies met the inclusion criteria. Of these, 19 used discrete event simulation and 2 used system dynamics models. The purpose of many of these studies (n=16; 76{\%}) centred on service redesign. Seven studies (33{\%}) provided no details about the ED being investigated. Most studies (n=18; 86{\%}) used specific hospital models of ED patient flow. Overall, the reporting of underlying modelling assumptions was poor. Nineteen studies (90{\%}) considered patient waiting or throughput times as the key outcome measure. Twelve studies (57{\%}) reported some involvement of stakeholders in the simulation study. However, only 3 studies (14{\%}) reported on the implementation of changes supported by the simulation. Conclusions: We found that computer simulation can provide a means to pre-test changes to ED care delivery before implementation in a safe and efficient manner. However, there are some methodological, data, stakeholder, implementation, and reporting issues, which must be addressed by future studies.",
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