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Recommendations for embedding simulation in health services

Abstract

Aspirations to achieve quality and safety goals in health services through simulation have led to significant investments in simulation equipment, space and faculty. However, the optimal governance and operational models through which these resources are expertly applied in health services are not known. There is growing evidence supporting ‘service’ models for simulation. In these models, simulation activities are co-designed and delivered by a team of simulation experts in partnership with health service units, specifically targeting quality and safety goals. Embedded simulation specialist teams working within these programs offer benefits not fully captured by traditional models of health education or by traditional systems for quality and safety.

In this article, we explore broad and specific recommendations for establishing a simulation consultancy service within an Australian metropolitan health service. We base these recommendations on a review of current Australian practice and healthcare simulation literature, and on a specific example within a large outer metropolitan health service. The broad domains discussed include (1) governance and leadership; (2) human resources; (3) principles and planning; (4) operationalise and evaluate and (5) look to the future.

The recommendations recognise that healthcare simulation is moving beyond solely addressing individual learning outcomes. The value of simulation addressing organisation and system objectives through various simulation modalities is increasingly being explored and demonstrating value. There is a growing demand for translational simulation in these contexts, and a consequent requirement for organisations to consider how simulation services can be successfully operationalised. Recommendations included in this paper are discussed and described with the intent of facilitating a deeper appreciation of the complexities associated with, and opportunities afforded by, a well-integrated simulation service.

Introduction

Evidence supporting the benefits of simulation activities in hospitals and health service environments is substantial. Healthcare simulation has demonstrated a positive impact on individual and team performance [1, 2]. It has been used to implement system responses to quality and safety concerns, enhance technical and behavioural skills, test new practices and pathways of care, and provide clinical education and training [2,3,4]. As the evidence becomes more compelling, health networks and services across the globe are investing in facilities and equipment, as well as in dedicated simulation personnel to coordinate and liaise with internal stakeholders, to respond to local and organisation-wide concerns, and to evaluate the impact of simulation activities on staff and patient outcomes [2].

However, simulation programs can fail to realise their potential to support quality and safety outcomes for health services. Inconsistent and ad hoc approaches to resourcing, staffing and operational delivery can leave simulation programs struggling to demonstrate a return on investment. Even when simulation activities have been successfully implemented in some segments of a health service organisation, issues of broader distribution and adoption can be problematic, and lead to ‘simulation silos’ [5]. The paradigm in which healthcare simulation operates in a health service may also be a limiting factor. Many health services hold a traditional view of simulation—as an education and training technique. An explicit shift toward simulation that is directly focused on quality and safety outcomes—translational simulation—through exploring and testing system performance is likely to improve outcomes.

While many Australian health services have simulation programs, no formal surveys or assessment of the extent of these programs has been studied or published. Our understanding of the simulation landscape in Australian health services is shaped by our collaborations, partnerships, and discussions with health service leaders and simulation community members. Based on these collective experiences and this expertise with health simulation in Australia, our synopsis is that industry-leading simulation programs in Australia are (1) embedded within the health service; (2) aligned with the Quality and Safety governance of their organisations; (3) comprised of a team of dedicated, expert simulation staff; (4) operating within a ‘service’ model; (5) providers of faculty development to increase organisational capacity to deliver simulation and (6) adopting a programmatic approach to simulation, rather than discrete simulation activities.

In this paper, we describe recommendations provided to an Australian metropolitan health service for establishing a Simulation Consultancy Service. Recommendations were crafted based on a thorough review of the organisation’s existing simulation activities, available facilities and equipment and staff experiences and attitudes towards simulation. They are informed by the experience and expertise of the authors, and the current evidence relating to simulation activities in tertiary hospital settings. These overarching areas of focus may be relevant and useful to others who are preparing and advocating for the organisation, coordination and improvement of health simulation services.

Main text

Context

The authors of this paper include the Director and Research Program Lead from Adelaide Health Simulation (AHS) (AM and ED), and the Medical Director of the Gold Coast Health Simulation Service (VB). In 2022, we accepted a contract from the Northern Adelaide Local Health Network (NALHN) executive committee, to undertake a review of existing simulation activities within their health services, and to provide recommendations that would progress the organisation’s agenda of establishing a coordinated and functional simulation program.

NALHN is one of five state government funded health services in South Australia. It supports the health needs of 32% of the metropolitan population of South Australia, and employs just over 6000 staff to deliver healthcare in critical care, acute care and primary health care services [6]. Its services include two hospitals: the Lyell McEwin Hospital and Modbury Hospital; inpatient and community mental health services; the Watto Purruanna Aboriginal Primary Health Care Service and; primary health, sub-acute and transitional care services via a number of GP Plus healthcare clinics.

When the report was written, the expertise of two experienced simulation technicians from AHS informed the findings relating to the quantity and quality of existing simulation equipment and facilities.

Process for developing recommendations

The strategy, governance and operational models for a successful simulation program must match the institutional context. The overarching health service scope, mission and values will shape how simulation can best serve that mission, as will the governance structures and funding models. The prior experience and current resourcing of simulation within the health service will also be relevant. As a result of these factors, our first step in developing recommendations was to understand the context of NALHN’s health services.

Our work for NAHLN provides an example of how evidence and experience can inform recommendations that are shaped for a particular context. We collected and analysed data from organisation-wide surveys, interviews with key stakeholders and a detailed audit. Interviews were undertaken with a broad array of clinicians, representing various health professions (nursing, medicine, midwifery, allied health) from across the major disciplines (emergency, intensive care, anaesthetics, medical and nursing education, surgery, obstetrics and gynaecology). Questions explored in these interviews related to the current state of simulation activities within the organisation, experiences, perceptions, attitudes towards the various simulation modalities, and aspirations for future engagement with simulation activities or services. Data were analysed thematically, with findings largely constructed within a ‘SWOT’ (strengths, weaknesses, opportunities, threats) framework [7].

Three surveys were administered online—one for clinicians, one for educators and one for members of the organisation’s executive team and divisional directors. Surveys included demographic questions, and modified questions from the barriers survey proposed by Salvoldelli [8, 9]. A descriptive statistical analysis of survey results was delivered to the organisation and provided additional insights into the attitudes, experiences and perceptions of these three cohorts of stakeholders.

Data from these collection points allowed us to have a deeper appreciation of the varied attitudes and perceptions of staff towards health simulation modalities; an understanding of perceived barriers and facilitators to establishing a coordinated simulation program and some ideas for how the organisation might consider implementing a program of simulation. Findings from interviews and surveys were considered in relation to the broad evidence base of academic literature and health simulation principles. We drafted recommendations for the organisation based on current evidence implementing health simulation into health services, applied to the specific context we had explored.

Recommendations

Nineteen recommendations were made, under five broad domains: (1) governance and leadership; (2) human resources; (3) principles and planning: (4) operationalise and evaluate and; (5) look to the future (Fig. 1). The recommendations are not presented as a linear pathway to the design and development of a simulation service. Rather, they are interconnected domains, with various degrees of inter-dependence between many of the recommendations. These interconnections and relevant institutional context will impact on the timing, quality and capacity of a Simulation Consultancy Service to deliver a simulation program within an organisation or health service. In this section we provide recommendations for each domain in summary tables, supported by brief explanatory comments.

Fig. 1
figure 1

Overview of recommendations

Governance and leadership

Determining who will lead a Simulation Consultancy Service, how it will be operationalised, and to which part of the organisation they will report, is a key priority. The first recommendation in the domain ‘Governance and Leadership’, is that the organisation establish or work with an established steering committee of inter-professional and inter-disciplinary stakeholders who can review findings regarding context, consider recommendations, and begin the preliminary task of advising on the direction and composition of the Simulation Consultancy Service. Given the opportunities for health simulation to improve patient outcomes and patient safety, and prior success in other similarly sized organisations, our strong recommendation is that the Simulation Consultancy Service should report to, and be aligned with, the Patient Quality and Safety division of the organisation. This group can report to the Executive Committee of the organisation and advise on (1) the appointment of a leadership team for the Simulation Consultancy Service; (2) the funding requirements to support a Simulation Consultancy Service in the short-, medium- and long-term; (3) initial investments required for infrastructure, (for example session booking and data collection systems).

A broadly recommended activity for simulation services, and functional units more broadly, is that vision, mission and values statements are devised to guide establishment, strategic planning, activities and program evaluation [7, 10, 11]. These statements are integral to the standards set by major global simulation societies, including the Society for Simulation in Healthcare [12]. We recommend that a process that engages relevant stakeholders and champions of simulation within the organisation are consulted in this process, so that these statements feel relevant to the organisational context and can be used to direct the Simulation Consultancy Service as it is established.

Human resources

Key to progressive and established health service simulation programs is the employment of a team of staff in substantive simulation-specific roles. This team often works to build the capacity of the staff within the organisation to increase overall capacity and to develop and deliver simulation activities [13]. High-performing simulation teams may include program leaders, simulation coordinators, simulation technical experts and clinician content experts. Established programs may include simulation fellows or trainees. Examples of these roles and responsibilities are outlined in Table 1.

Table 1 Domain 1—Governance and leadership

The size of a Simulation Consultation Service will be determined by factors such as the size of the organisation, the resources available to fund the employment of dedicated staff, and the model of service delivery that is adopted. Beyond those employed directly within a Simulation Consultancy Service, there is also a significant opportunity to support staff throughout an organisation to design and deliver simulation activities, and to co-design programs of simulation activities, as exemplified in other organisations [11, 14, 15]. Table 2 details four sub-domains of recommendations relating to human resources, including (1) a Simulation Service leadership team; (2) a faculty development program; (3) simulation technician role(s) and (4) a Simulation Fellow program.

An active simulation faculty development program can build capacity for simulation delivery, through enhanced skills in design, delivery and debriefing, and through building a simulation community of practice within the organisation [13, 16]. Faculty development may include structured workshops, informal mentoring and support for longitudinal learning pathways, and may also involve partnerships with educational and academic organisations.

For simulation directly focused on quality and safety goals, practitioners may need additional knowledge and skills that build on those required for educationally focused simulations, drawing upon expertise from fields such as safety science, quality improvement, and change management. Developing relationships with experts in these fields to address and explore safety goals will involve networking within the health service organisation or building partnerships externally. An example of simulation experts partnering with clinicians and with quality improvement experts is illustrated in a study at Gold Coast University Hospital in which significant improvements in care of women suffering post-partum haemorrhage was achieved [15].

Table 2 Domain 2—Human resources

Principles and planning

Simulation delivered in a health setting needs to be viewed and implemented as an organisational strategy, and not a discrete event or series of unconnected events [4, 17]. The four sub-domains of recommendations presented in Table 4 are significantly inter-related. They emphasise the considerations required to develop a program of simulation that is relevant and acceptable to people throughout the organisation and that is coherent and responsive to the needs of the organisation.

Firstly, in developing an organisational strategy for designing and delivering simulation activities, we recommend that the underlying principles that will guide this strategy are defined. Examples of foundational principles may include the following:

  1. 1.

    Simulation activities are linked to the medium and long-term organisational strategies for improving the quality and safety of service provision. Simulation activities are linked to health quality and safety standards, for example:

    1. a.

      National Safety and Quality Health Standards (Australia) (https://www.safetyandquality.gov.au/standards/nsqhs-standards)

    2. b.

      Canadian Quality and Patient Safety Framework for Health Services (Canada) (https://www.healthcareexcellence.ca/en/resources/canadian-quality-and-patient-safety-framework-for-health-services/)

    3. c.

      NHS Patient Safety Strategy (England) (https://www.england.nhs.uk/patient-safety/the-nhs-patient-safety-strategy/#patient-safety-strategy)

  2. 2.

    Safety-I and Safety-II principles are considered when designing simulation activities and the debriefing points for these activities. That is, consideration is given to how the service can use simulation modalities to ensure that:

    1. a.

      As little as possible can go wrong (Safety-I), and

    2. b.

      As much as possible can go right (Safety-II) [18]

  3. 3.

    Psychological safety principles for simulation are incorporated at all stages of development and delivery of simulation activities.

  4. 4.

    Simulation activities and resources are accessible across the service, inclusive of all disciplines, professions and teams.

Secondly, the stated principles should then underpin the internal structure and function of the Simulation Consultancy Service, i.e. ‘pillars’ of activity may include domains such as ‘translational simulation’, ‘education and training’, ‘faculty development’, ‘simulation innovation’, ‘guideline testing’ and ‘scholarship and research’. Examples of pillars of activity can be seen in the Boston Children’s Hospital, who have named three pillars: “Training and Performance: Accelerating clinical training and high performance”; “Human Factors and Systems Design: Engineering out hazards and improving safety in patient care” and; “Device Design Solutions: Just-in-time innovation for health care” [19]. Examples of other standards and considerations when formulating foundational principles and pillars of activity for a Simulation Program are available in several recent publications including Baxendale et al.’s [20] scoping review that reports on standards for in-situ simulation, Brock et al.’s [21] description of a simulation program for Paediatric Critical Care Fellows and, the ‘Input-process-output’ framework for translational simulation published in 2021 [17].

The third recommendation in the ‘Principles and Planning’ domain, relates to partnerships (Table 3). Healthcare simulation is deeply rooted in partnerships. Partnerships between novices and experts; clinicians and non-clinicians; people from different disciplines and professions; institutional leaders and the people who lead simulation teams; simulated patients, simulation technicians, simulation coordinators and learners. The recommendation we make here may sound simplistic, but it is through partnerships that great opportunities for innovation, learning, and excellence in the delivery of healthcare simulation and healthcare delivery flourish.

Table 3 Examples of roles and role descriptions

For example, when the COVID-19 pandemic posed challenges for maternity services at the Gold Coast University Hospital, the simulation service was able to partner with their team to undertake diagnostic simulations that tested new processes, and identified logistical, communication and coordination issues [14]. Through pursing a translational simulation process, this partnership between the simulation consultancy unit and maternity services resulted in refined processes and ultimately improved patient and staff safety [14].

The three categories of people we have included in these recommendations are the individuals within the organisation who have simulation expertise (not employed within the simulation service, but in the service more generally); teams, units and professions within the service and experts beyond the organisation (Table 4). This may be expanded to also include end-users (patients, family members) and other health service stakeholders.

Table 4 Domain 3—Principles and planning

Finally, the fourth recommendation in this domain is ‘Identifying priority areas of work’. As noted in recent literature, buy-in from participating units is necessary for session objectives to be met [11, 15, 22]. Pathways to identifying priority areas of work may be found through (1) identifying the individuals and units who are enthusiastically willing to participate in simulation activities and (2) identifying challenges faced throughout the organisation that are amenable to change or improvement through the design and delivery of simulation activities. As an exemplar, Trawber, Sweetman (5) successfully implemented a process that facilitated the identification of both the simulation enthusiasts and situations in which simulation activities could be implemented at the Fiona Stanley Hospital in Western Australia. The ‘Simulation to Enhance Patient Safety (STEPS) Referral Pathway’ provided a streamlined mechanism for translational simulation to be requested, prioritised and planned [5].

Operationalise and evaluate

Implementation of any simulation program strategy presents challenges in overcoming anticipated and unanticipated barriers [23]. Principles drawn from knowledge translation and implementation science literature that can assist with increasing the likelihood of success [24, 25]. The recommendations presented in Table 5 are not exhaustive, but may enhance acceptability and engagement.

Table 5 Domain 4—Operationalise and evaluate

Evaluating the impact and effectiveness of a simulation consultancy service is not a straightforward endeavour [26, 27]. Methods to evaluate effectiveness and impact have included self-report, observation, and calculation of quantitative cost effectiveness [28]. However these strategies have often drawn upon an educational evaluation paradigm (e.g. Kirkpatrick’s 4 levels of evaluation) [29]. By contrast, simulation programs that are funded and embedded within health services should demonstrate return on investment (ROI) that is relevant to patients and health services [28, 30]. Drawing upon quality improvement frameworks may be more appropriate, for example, the quadruple aims of reducing costs; improving population health, patient experience, and team well-being [31]. While a granular discussion of ROI is beyond the scope of our recommendations, we strongly suggest evaluations strategies are developed contemporaneously with the program mission, vision and scope [25].

Look to the future

Healthcare simulation is an evolving practice, with opportunities to innovate and proactively respond to the dynamic needs of patients, families, staff, and the broader community. A significant role for any Simulation Consultancy Service is the careful consideration of which opportunities will be impactful, how and when to implement new techniques, technologies and programs, and who to partner with to accomplish desired outcomes (Table 6).

Table 6 Domain 5—Look to the future

In looking to the future, we encourage and recommend new and established simulation units actively seek opportunities to be innovative, to be responsive to the dynamic needs of patients and staff, to formally evaluate their impact and to generously share what is learned in these processes with the broader simulation, research and health professional communities.

Discussion

In formulating and presenting the recommendations outlined above, there is tension between presenting overly prescriptive guidelines that are not relevant across contexts, and overly generic advice with inadequate detail to be helpful. Recognising this tension, we have provided broad principles as well as detailed recommendations that we hope will facilitate a successful implementation journey. Three underlying principles were considered in the development of these recommendations. These include (1) an operational model of ‘consultancy service’, (2) a focus on people, and not equipment and facilities, and (3) a deep appreciation of context.

Consultancy service model

It is our strong recommendation that an empowering, support-focused ‘service’ model be adopted for simulation programs operating within health services. This model situates simulation as a core function in the health service and recognises that many health service staff may be involved in simulation design and delivery. The role of the Simulation Consultancy Service is thus positioned to support those staff with expertise in scenario design, technical delivery, equipment and leading or supporting learning conversations. This model recognises that those needs will vary enormously between departments or units within the health service and has seen success in other Australian health networks.

Focus on people, not just equipment and facilities

Significant government and organisational capital investment have been poured into simulation equipment and facilities over the past two decades [32, 33]. Despite these capital investments, coordinated and effective simulation programs have rarely materialised without a serious co-investment in people and faculty development. As argued by Lazzara, Benishek [4], the trend towards leaner health workforces has limited the opportunity for dedicated simulation staff to be employed to lead and work in such programs, to the detriment of these organisations. A lack of dedicated staffing is particularly problematic when considering that health professions’ training within health services should be considered in the context of a system, and not as discrete learning events [34, 35]. As described in our recommendations, this involves adequate resourcing for dedicated simulation staff with complementary skill sets, faculty development programs, and upskilling for educators and quality improvement staff in using simulation.

Contextual relevancy

The successful implementation of new or altered processes and structures requires an understanding of the context where this change will occur [23]. The recommendations described here may not all be relevant to all contexts. Hence, we recommend an exploratory process should be undertaken to deeply understand the institutional context, prior to planning a simulation consultancy service. This may be undertaken internally, or (as in our experience) by an external expert group. It is the people, physical and geographical environments and culture of organisations that will both inform and impact the success of the service.

Conclusion

With growing interest in organisation-wide health simulation programs, there are exciting opportunities to thoughtfully design models for service delivery that are progressive, sustainable, guided by evidence, and responsive to the dynamic and complex nature of health organisations. In this article, we offer several recommendations for designing and launching a simulation consultancy service that will support the quality and safety goals of a contemporary health service, whether multi- or single site. This design process has been guided by theoretical lenses: relevant principles from the implementation science and change management literature. The design has also been informed by published examples of simulation service configurations and activities, and through the sharing of knowledge and experiences between services. We anticipate and encourage discussion and debate amongst our health education and simulation colleagues relating to this evolving landscape and look forward to seeing how health services progress to incorporate cohesive simulation services, sophisticated enough to lead to positive impact and outcomes.

Availability of data and materials

Not applicable.

Abbreviations

AHS:

Adelaide Health Simulation

NALHN:

Northern Adelaide Local Health Network

ROI:

Return on Investment

STEPS:

Simulation To Enhance Patient Safety

SWOT:

Strengths, Weaknesses, Opportunities, Threats

References

  1. Owen H. Simulation in healthcare education. Switzerland: Spriner Nature; 2016.

    Book  Google Scholar 

  2. Brazil V, Purdy E, Bajaj K. Simulation as an improvement technique. United Kingdom: Cambridge University Press; 2023.

    Book  Google Scholar 

  3. Minors AM, Yusaf TC, Bentley SK, Grueso D, Campbell-Taylor K, Harford M, et al. Enhancing safety of a system-wide in situ simulation program using no-go considerations. Simul Healthc. 2023;18(4):226–31.

    Article  PubMed  Google Scholar 

  4. Lazzara EH, Benishek LE, Dietz AS, Salas E, Adriansen DJ. Eight critical factors in creating and implementing a successful simulation program. Jt Comm J Qual Patient Saf. 2014;40(1):21–9.

    PubMed  Google Scholar 

  5. Trawber RAH, Sweetman GM, Proctor LR. Improving simulation accessibility in a hospital setting: implementing a simulation consultation service. Simul Healthc. 2021;16(4):261–7.

    Article  PubMed  Google Scholar 

  6. Government of South Australia. Northern Adelaide Local Health Network Strategic Plan 2020–2025. 2020. Available from: https://www.sahealth.sa.gov.au/wps/wcm/connect/public+content/sa+health+internet/resources/nalhn+strategic+plan+2020-25.

  7. O’Connor P, O’Dowd E, Lydon S, Byrne D. Developing a strategic plan for a healthcare simulation facility. Int J Healthc Simul. 2023.

  8. Decarlo D, Collingridge DS, Grant C, Ventre KM. Factors influencing nurses’ attitudes toward simulation-based education. Simul Healthc. 2008;3(2):90–6.

    Article  PubMed  Google Scholar 

  9. Salvoldelli GL, Naik VN, Hamstra SJ, Morgan PJ. Barriers to use of simulation-based education. General Anaesth. 2005;52(9):944–50.

    Google Scholar 

  10. Appelbaum SH, Habashy S, Malo JL, Shafiq H. Back to the future: revisiting Kotter’s 1996 change model. J Manag Dev. 2012;31(8):764–82.

    Article  Google Scholar 

  11. Schmutz JB. Institutionalizing an interprofessional simulation education program: an organizational case study using a model of strategic change. J Interprof Care. 2022;36(3):402–12.

    Article  PubMed  Google Scholar 

  12. Society for Simulation in Healthcare. Society for simulation in healthcare accreditation. Core Accreditation Standards2021.

  13. Peterson DT, Watts PI, Epps CA, White ML. Simulation faculty development: a tiered approach. Simul Healthc. 2017;12(4):254–9.

    Article  PubMed  Google Scholar 

  14. Lowe B, De Araujo V, Haughton H, Schweitzer J, Brazil V. Preparing maternity for COVID-19: a translational simulation approach. Aust N Z J Obstet Gynaecol. 2020;60(4):628–32.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Brazil V, McLean D, Lowe B, Kordich L, Cullen D, De Araujo V, et al. A relational approach to improving interprofessional teamwork in post-partum haemorrhage (PPH). BMC Health Serv Res. 2022;22(1):1108.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Paige J, Graham L, Sittner B. Formal training efforts to develop simulation educators: an integrative review. Simul Healthc. 2020;15(4):271–81.

    Article  PubMed  Google Scholar 

  17. Nickson CP, Petrosoniak A, Barwick S, Brazil V. Translational simulation: from description to action. Adv Simul (Lond). 2021;6(1):6.

    Article  PubMed  Google Scholar 

  18. Hollnagel E. Safety-I and safety-II : the past and future of safety management. Farnham: Taylor & Francis Group; 2014.

    Google Scholar 

  19. Boston Children’s Hospital. Immersive design systems. Available from: https://www.childrenshospital.org/clinician-resources/immersive-design-systems-landing-page.

  20. Baxendale B, Evans K, Cowley A, Bramley L, Miles G, Ross A, et al. GENESISS 1-Generating Standards for In-Situ Simulation project: a scoping review and conceptual model. BMC Med Educ. 2022;22(1):479.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Brock KE, Tracewski M, Allen KE, Klick J, Petrillo T, Hebbar KB. Simulation-based palliative care communication for pediatric critical care fellows. Am J Hosp Palliat Care. 2019;36(9):820–30.

    Article  PubMed  Google Scholar 

  22. Eller S, Rudolph J, Barwick S, Janssens S, Bajaj K. Leading change in practice: how “longitudinal prebriefing” nurtures and sustains in situ simulation programs. Adv Simul (Lond). 2023;8(1):3.

    Article  PubMed  Google Scholar 

  23. Harvey G. Context matters, so how do we get better at working with context in implementation research and practice? Comment on “stakeholder perspectives of attributes and features of context relevant to knowledge translation in health settings: a multi-country analysis.” Int J Health Policy Manag. 2022;11(8):1587–9.

    PubMed  PubMed Central  Google Scholar 

  24. Lane-Fall MB, Curran GM, Beidas RS. Scoping implementation science for the beginner: locating yourself on the “subway line” of translational research. BMC Med Res Methodol. 2019;19(1):133.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Wensing M, Grol R. Knowledge translation in health: how implementation science could contribute more. BMC Med. 2019;17(1):88.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Abildgren L, Lebahn-Hadidi M, Mogensen CB, Toft P, Nielsen AB, Frandsen TF, et al. The effectiveness of improving healthcare teams’ human factor skills using simulation-based training: a systematic review. Adv Simul (Lond). 2022;7(1):12.

    Article  PubMed  Google Scholar 

  27. Lin Y, Cheng A, Hecker K, Grant V, Currie GR. Implementing economic evaluation in simulation-based medical education: challenges and opportunities. Med Educ. 2018;52(2):150–60.

    Article  PubMed  Google Scholar 

  28. Bukhari H, Adreatta P, Goldiez B, Rabelo L. A framework for determining the return on investment of simulation-based training in health care. J Health Care Organ Provision Financ. 2017;54:1–7.

    Google Scholar 

  29. Eppich W, Reedy G. Advancing healthcare simulation research: innovations in theory, methodology, and method. Adv Simul (Lond). 2022;7(1):23.

    Article  PubMed  Google Scholar 

  30. Nestel D, Brazil V, Hay M. You can’t put a value on that… Or can you? Economic evaluation in simulation-based medical education. Med Educ. 2018;52(2):139–41.

    Article  PubMed  Google Scholar 

  31. Bodenheimer T, Sinsky C. From triple to quadruple aim: care of the patient requires care of the provider. Ann Fam Med. 2014;12(6):573–6.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Nestel D, Bearman M, Brooks P, Campher D, Freeman K, Greenhill J, et al. A national training program for simulation educators and technicians: evaluation strategy and outcomes. BMC Med Educ. 2016;16:25.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Rudd C. Enhancing the uptake of learning through simulation in health. Sydney: Office for Learning and Teaching, ECU; 2013.

    Google Scholar 

  34. Salas E, Tannenbaum SI, Kraiger K, Smith-Jentsch KA. The science of training and development in organizations: what matters in practice. Psychol Sci Public Interest. 2012;13(2):74–101.

    Article  PubMed  Google Scholar 

  35. Paige J, Sonesh S, Garbee D, Bonanno L, editors. Comprehensive healthcare simulation: interprofessional team training and simulation. Springer Nature Switzerland: Switzerland; 2020.

    Google Scholar 

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Acknowledgements

We thank and acknowledge the executive committee and staff from NALHN for inviting us to examine their current state of simulation and for working on a plan for further implementing simulation in their organisation. We acknowledge Dr. John Maddison for his consistent support of this work. We also acknowledge the work of our simulation technicians, Michael Gilmour and Sarah Doran, for their expertise.

Funding

The project that led to the development of the recommendations presented in this paper was funded by the Northern Adelaide Local Health Network.

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All listed authors have made substantial contributions to the conception, design and drafting of this manuscript. All authors read and approved the final manuscript.

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Correspondence to Ellen Davies.

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Competing interests

Victoria Brazil is a Senior Editor for Advances in Simulation. Ellen Davies is a member of the Editorial Board for Advances in Simulation. Adam Montague declares no competing interests.

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Davies, E., Montagu, A. & Brazil, V. Recommendations for embedding simulation in health services. Adv Simul 8, 23 (2023). https://doi.org/10.1186/s41077-023-00262-3

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