Causal factors of low stakeholder engagement: a survey of expert opinions in the context of healthcare simulation projects

Jahangirian, Mohsen; Borsci, Simone; Shah, Syed Ghulam Sarwar; Taylor, Simon J. E.

doi:10.1177/0037549715583150

Cited by 15 publications

(19 citation statements)

References 46 publications

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“…(4) Single department (5), cross-departments (4), cross-institutional (7) Arena (4); AnyLogic (2); iThink (2); Simul8 (1); NetLogo (1); Microsoft Excel (1); Powersim (1); Misc. (4) Methodology [ 12 – 15 , 39 , 282 – 286 , 287 – 305 ] Reviews, surveys, and methodological reflections and comparisons of logistics simulations in other sectors. …”

Section: Resultsmentioning

confidence: 99%

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

et al. 2018

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BackgroundResource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in logistics, decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care.MethodsA systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality.ResultsTwo hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low.ConclusionsAn extensive study analyzing the literature on simulation in healthcare logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.

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Section: Resultsmentioning

confidence: 99%

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

et al. 2018

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“…New survey studies measuring simulation projects' performances using our proposed framework could also provide some useful general insights into the areas of concern in simulation practice. These could be further complemented by studies of the impact of causal factors on the success of simulation projects (Jahangirian et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Key performance indicators for successful simulation projects

Jahangirian

Taylor

Robinson

2017

Journal of the Operational Research Society

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There are many factors that may contribute to the successful delivery of a simulation project. To provide a structured approach to assessing the impact various factors have on project success, we propose a top-down framework whereby 15 Key Performance Indicators (KPI) are developed that represent the level of successfulness of simulation projects from various perspectives. They are linked to a set of Critical Success Factors (CSF) as reported in the simulation literature. A single measure called Project's Success Measure (PSM), which represents the project's total success level, is proposed. The framework is tested against 9 simulation exemplar cases in healthcare and this provides support for its reliability. The results suggest that responsiveness to the customer's needs and expectations, when compared with other factors, holds the strongest association with the overall success of simulation projects. The findings highlight some patterns about the significance of individual CSFs, and how the KPIs are used to identify problem areas in simulation projects.

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“…However, uptake of 'return on investment' type tools by decision-makers is low. Whilst stakeholder engagement in conceptual model building is well established [2,3], and studies to explore why stakeholders do not use simulation models [4][5][6] exist, studies describing active engagement with stakeholders during computational model building are lacking. Research Councils are increasingly encouraging researchers to consider the wider impact of their research.…”

Section: Introductionmentioning

confidence: 99%

Evaluating stakeholder involvement in building a decision support tool for NHS health checks: co-producing the WorkHORSE study

Lloyd-Williams

Hyseni

Guzman-Castillo

et al. 2020

BMC Med Inform Decis Mak

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Background: Stakeholder engagement is being increasingly recognised as an important way to achieving impact in public health. The WorkHORSE (Working Health Outcomes Research Simulation Environment) project was designed to continuously engage with stakeholders to inform the development of an open access modelling tool to enable commissioners to quantify the potential cost-effectiveness and equity of the NHS Health Check Programme. An objective of the project was to evaluate the involvement of stakeholders in co-producing the WorkHORSE computer modelling tool and examine how they perceived their involvement in the model building process and ultimately contributed to the strengthening and relevance of the modelling tool. Methods: We identified stakeholders using our extensive networks and snowballing techniques. Iterative development of the decision support modelling tool was informed through engaging with stakeholders during four workshops. We used detailed scripts facilitating open discussion and opportunities for stakeholders to provide additional feedback subsequently. At the end of each workshop, stakeholders and the research team completed questionnaires to explore their views and experiences throughout the process. Results: 30 stakeholders participated, of which 15 attended two or more workshops. They spanned local (NHS commissioners, GPs, local authorities and academics), third sector and national organisations including Public Health England. Stakeholders felt valued, and commended the involvement of practitioners in the iterative process. Major reasons for attending included: being able to influence development, and having insight and understanding of what the tool could include, and how it would work in practice. Researchers saw the process as an opportunity for developing a common language and trust in the end product, and ensuring the support tool was transparent. The workshops acted as a reality check ensuring model scenarios and outputs were relevant and fit for purpose.

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Causal factors of low stakeholder engagement: a survey of expert opinions in the context of healthcare simulation projects

Cited by 15 publications

References 46 publications

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

Key performance indicators for successful simulation projects

Evaluating stakeholder involvement in building a decision support tool for NHS health checks: co-producing the WorkHORSE study

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