Skip to main content

Adapting form to function: can simulation serve our healthcare system and educational needs?

In artistic fields, like graphic design and architecture, designers often experience tension between highlighting a product’s appearance (form) and creating a product that meets the intended purpose (function). Traditionally, simulation educators and champions have valued form: the expensive “high-fidelity” manikin or standardized patient is discussed more often than  the “low-fidelity” task trainer. That preoccupation has jeopardized and de-emphasized the importance of the functions (i.e., educational objectives) the simulation is supposed to address [13]. With the availability today of a vast array of simulation techniques and innovations, there is clearly an obligation to use simulation resources wisely and to develop an evidence-base that meaningfully connects simulation form (i.e., simulator, simulation actors/confederates, simulation technique, and location) and simulation function (e.g., for education, for assessment, for evaluating systems).

As an analogy, high-quality research arises first from a focused research question and second from methods chosen to best answer that question. Similarly, we suggest a simulation session must begin with a clear statement of the session’s objective, which ultimately dictates the session’s form. We believe this principle applies to any form of simulation, be it a task trainer in the simulation center or a large-scale multi-disciplinary team-based event in the clinical environment. Considering the latter, while our community has made strides in de-emphasizing “fidelity” and is focusing on educational objectives in the simulation center, we wonder if the same thinking applies when conducting simulations in the workplace, commonly referred to as in situ simulation (ISS). A recent paper proposes shifting away from typical simulation descriptors (e.g., high-fidelity) to using a more applicable term, translational simulation, to highlight the importance of a functional connection with healthcare priorities and patient outcomes [4].

We agree with Posner et al. [5] that the hallmark of ISS is that it enables the study of “how the clinical environment responds in its natural state, including the personnel, equipment, and systems responsible for care in that environment.” Observing team members in their typical role using their actual equipment and following their processes likely supports a systems-thinking approach not entirely realized with simulation at off-site centers [6]. Numerous studies support applying ISS to identify latent safety threats (LSTs) [7], to test newly designed clinical environments [8], and to teach and practice communication and teamwork skills [9]. Educators often use ISS as a crash test for personnel, equipment, and systems, offering important insights into patient safety threats and potential mitigation strategies. Here, the function is to improve patient safety, and the form making it possible is ISS. Despite this potential, however, the literature still lacks evidence to help educators and administrators decide which forms of ISS to implement and which functions ISS best serves [10].

As we strive to support healthcare professionals in continuous, lifelong learning, we need evidence to clarify which simulation environment allows us to achieve our specific objectives effectively and efficiently. In producing that evidence, we discourage comparing ISS to a center-based simulation, as the two represent different forms and functions. Instead, we encourage work that tests and delineates the boundaries of function for all forms of simulation (e.g., take-home simulators). For instance, simulation in the workplace is itself a multi-faceted modality which can take two arguably disparate forms: (1) in situ simulation, where scenarios unfold in the actual clinical environment with the actual clinical equipment and (2) on site simulation (OSS), where scenarios take place in the workplace, yet somewhere “aside” like a spare or unused patient room with or without the actual clinical equipment from the unit. ISS scenarios enable objectives like testing of equipment, systems, and spaces, whereas OSS scenarios enable functions like reinforcing skills and educational outcomes without removing staff from the familiarity and convenience of the workplace [5]. Their forms differ slightly, while their functions can differ dramatically [4].

In education, we tend to follow cycles of recreating the same old problems in new surroundings. “Innovators” digitized textbooks and called them e-learning, which now prompts a chuckle. Similarly, we see the possibility that educators will simply transport the functions for which center-based simulation is ideal into ISS scenarios. While ISS appears to have a strong footing in identifying patient safety concerns and systems issues, the evidence for superiority in learning outcomes is far less convincing [6, 11]. Hence, it may be that in thinking about the optimal use of ISS, we must think about the unit of analysis. Perhaps ISS is ill-suited for individual-level, skill-based objectives requiring deliberate and regular practice, yet ISS might be fit-for-purpose to study teams, clinical units, and institutional level quality improvement initiatives [12]. We believe ISS represents a valuable tool for clinicians, educators, and patient safety experts when used appropriately, always using the principle that form follows function.

Ultimately, an integrated system of simulation across settings, from center-based to OSS to ISS, will help us align institutional-, unit-, team-, and individual-level goals. Yet, our community remains in a perpetually early state when it comes to clarifying and testing the boundaries of how each form of simulation might function best. Despite the increasingly widespread use of ISS in different settings, for example, our understanding of the mechanisms through which ISS can increase the reliability and resilience of organizational activities remains under-developed [10]. Authors of a remarkably high number of papers laud the capacity for ISS to identify LSTs, provide lists of those LSTs (sometimes in a prioritized order), and then leave us to wonder what happened: How were they addressed? Has the organization realized patient safety benefits? What are the lessons learned of actually tackling that list, beyond writing it on a page? Let us move beyond rhetoric, let us move beyond descriptive studies, and let us begin the hard work of collecting empirical evidence for how and why ISS, OSS, center-based simulation, and other technology-enabled activities can function in an integrated system to produce adaptive learners, teams, and systems. In establishing the art and science of simulation, let us remember the lessons from professional designers: meaningfully connect simulation form and simulation function. Doing so will help clarify the optimal use of all forms of simulation - from paper-based cases to full-scale emergency preparedness training with many simulated patients, family members, and care providers.

Abbreviations

ISS:

In situ simulation

OSS:

On-site simulation

References

  1. Hamstra SJ, Brydges R, Hatala R, Zendejas B, Cook DA. Reconsidering fidelity in simulation-based training. Acad Med. 2014;89(3):387–92. https://0-doi-org.brum.beds.ac.uk/10.1097/ACM.0000000000000130.

    Article  PubMed  Google Scholar 

  2. Dieckmann P, Gaba D, Rall M. Deepening the Theoretical Foundations of Patient Simulation as Social Practice. Simulation in Healthcare. 2007;2(3):183–93.

    Article  PubMed  Google Scholar 

  3. Rudolph JW, Simon R, Raemer DB. Which Reality Matters? Questions on the Path to High Engagement in Healthcare Simulation. Simulation in Healthcare. 2007;2(3):161–3.

    Article  PubMed  Google Scholar 

  4. Brazil V. Translational simulation: not ‘where?’ but ‘why?’ A functional view of in situ simulation. Adv Simul. 2017;2(1):20. https://0-doi-org.brum.beds.ac.uk/10.1186/s41077-17-0052-3.

    Article  Google Scholar 

  5. Posner GD, Clark ML, Grant VJ. Simulation in the clinical setting: towards a standard lexicon. Adv Simul. 2017;2(1):15. https://0-doi-org.brum.beds.ac.uk/10.1186/s41077-017-0050-5.

    Article  Google Scholar 

  6. Sorenson JL, Ostergaard D, LeBlanc V, et al. Design of simulation-based medical education and advantages and disadvantages of in situ simulation versus off-site simulation. BMC Med Ed. 2017;17:20. https://0-doi-org.brum.beds.ac.uk/10.1186/s1299-016-0838-3.

    Article  Google Scholar 

  7. Guise JM, Mladenovic J. In situ simulation: identification of systems issues. Semin Perinatol. 2013;37(3):161–5. https://0-doi-org.brum.beds.ac.uk/10.1053/j.semperi.2013.02.007.

    Article  PubMed  Google Scholar 

  8. Geis GL, Pio B, Pendergrass TL, Moyer MR, Patterson MD. Simulation to assess the safety of new healthcare teams and new facilities. Simul Healthc. 2011;6(3):125–33. https://0-doi-org.brum.beds.ac.uk/10.1097/SIH.0b013e31820dff30.

    Article  PubMed  Google Scholar 

  9. Van Schaik SM, Plant J, Diane S, Tsang L, O’Sullivan P. Interprofessional team training in pediatric resuscitation: a low-cost, in situ simulation program that enhances self-efficacy among participants. Clin Pediatr (Phila). 2011;50(9):807–15. https://0-doi-org.brum.beds.ac.uk/10.1177/0009922811405518.

    Article  Google Scholar 

  10. Macrae C, Draycott T. Delivering high reliability in maternity care: in situ simulation as a source of organisational resilience. Saf Sci. 2016. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ssci.2016.10.019.

  11. Villemure C, Tanoubi I, Georgescu LM, Dubé JN, Houle J. An integrative review of in situ simulation training: Implications for critical care nurses. Can J Crit Care Nurs. 2016;27(1):22-31.

  12. Campbell DM, Poost-Foroosh L, Pavenski K, Contreras M, Alam F, Lee J, Houston P. Simulation as a toolkit—understanding the perils of blood transfusion in a complex health care environment. Adv Simul. 2016;1(1):32. https://0-doi-org.brum.beds.ac.uk/10.1186/s41077-016-0032-z.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

AP and DC wrote the first draft. All four authors edited the manuscript together. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ryan Brydges.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Petrosoniak, A., Brydges, R., Nemoy, L. et al. Adapting form to function: can simulation serve our healthcare system and educational needs?. Adv Simul 3, 8 (2018). https://0-doi-org.brum.beds.ac.uk/10.1186/s41077-018-0067-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s41077-018-0067-4

Keywords