Multicultural Spanish adaptation of the Global Consensus Statement on Simulation-Based Practice in Healthcare

Soledad Armijo-Rivera; Aida Camps Gómez; Carla Prudencio Palomino; Andrés Díaz-Guio; Diego Olmo Ferrer; Cristina Díaz Navarro

doi:10.5554/22562087.e1156

Soledad Armijo-Rivera School of Medicine, Clínica Alemana, Universidad del Desarrollo. Santiago, Chile. https://orcid.org/0000-0001-5368-5961
Aida Camps Gómez Universidad de Manresa. Barcelona, Spain. https://orcid.org/0000-0003-3310-1193
Carla Prudencio Palomino Hospital Garrahan. Buenos Aires, Argentina. https://orcid.org/0009-0007-6363-128X
Andrés Díaz-Guio Health Simulation and Innovation Unit, Universidad San Sebastián. Concepción, Chile; Centro de Simulación Vitalcare. Armenia, Colombia. https://orcid.org/0000-0003-4940-9870
Diego Olmo Ferrer Norfolk and Norwich University Hospitals. Norwich, United Kingdom. https://orcid.org/0009-0008-6983-9417
Cristina Díaz Navarro Cardiff and Vale University Health Board. Cardiff, United Kingdom; School of Medicine and Health Sciences, Universidad de Barcelona. Barcelona, Spain. https://orcid.org/0000-0001-9351-9060

DOI: https://doi.org/10.5554/22562087.e1156

Keywords: Simulation training, Patient safety, Quality of health care, Quality assurance, Health care, Health equity, Organizational culture, Competency-based education, Professional competence

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Abstract

Introduction: The recent creation of a Global Consensus Statement on simulation-based practice has provided the international community with a shared framework, albeit originally written in English. A translated and culturally adapted version in Spanish, accounting for the diverse uses of the language, was essential.

Objective: To produce a culturally appropriate translation into Latin American Spanish through a consensus of bilingual experts from multiple countries.

Method: Formal authorization was obtained from the authors of the original article. A team of four simulation experts from Argentina, Chile, Colombia, and Spain, along with two bilingual experts residing in Wales and England, was assembled. An initial draft was generated using generative artificial intelligence. This was followed by iterative and collaborative human revisions, considering potential meanings, usage, interpretations, and linguistic appropriateness, until the final version was completed.

Results: The document summarizes the current state of simulation practice, global challenges and ethical considerations for its implementation, as well as areas of interest for developing recommendations. It concludes with nine key strategies for effective simulation implementation and a call to action with specific guidance for organizational leaders, healthcare systems, educational institutions, and simulation practitioners.

Conclusions: This Global Consensus provides essential guidance for simulation practice in Spanish-speaking countries.

References

1. Díaz-Navarro C, Armstrong R, Charnetski M, Freeman K, Koh S, Reedy G, et al. Global consensus statement on simulation-based practice in healthcare. Adv Simul (Lond). 2024;9(1):19. https://doi.org/10.1186/s41077-024-00288-1.

2. Díaz-Navarro C, Armstrong R, Charnetski M, Freeman K, Koh S, Reedy G, et al. Global consensus statement on simulation-based practice in healthcare. Simul Healthc. 2024;19(3):e52-e59. https://doi.org/10.1097/SIH.0000000000000804.

3. Díaz-Navarro C, Armstrong R, Charnetski M, Freeman K, Koh S, Reedy G, et al. Global consensus statement on simulation-based practice in healthcare, clinical simulation in nursing. Clin Simul Nurs. 2024;93:101552. https://doi.org/10.1016/j.ecns.2024.101552.

4. Díaz-Navarro C, Armstrong R, Charnetski M, Freeman K, Koh S, Reedy G, et al. Global consensus statement on simulation-based practice in healthcare. Int J Healthcare Simul. 2024. https://doi.org/10.54531/pesi3493.

5. Moneus AM, Sahari Y. Artificial intelligence and human translation: A contrastive study based on legal texts. Heliyon. 2024;10(6):e28106. https://doi.org/10.1016/j.heliyon.2024.e28106.

6. Healthcare Simulation Dictionary Second Edition. Rockville, MD: Agency for Healthcare Research and Quality; September 2020. AHRQ Publication No. 20–0019. https://doi.org/10.23970/simulationv2.

7. Nickson CP, Petrosoniak A, Barwick S, Brazil V. Translational simulation: from description to action. Adv Simul. 2021;6:1-1. https://doi.org/10.1186/s41077-021-00160-6.

8. Weldon SM, Buttery AG, Spearpoint K, Kneebone R. Transformative forms of simulation in health care-the seven simulation-based'I's: a concept taxonomy review of the literature. Int J Healthcare Simul. 2023:1-13. https://doi.org/10.54531/tzfd6375.

9. Slater BJ, Kashyap MV, Calkins CM, Powell D, Rothstein DH, Clifton M, et al. Global dissemination of knowledge through virtual platforms: Reflections and recommendations from APSA/IPEG. J Pediatr Surg. 2022;57(9):124-9. https://doi.org/10.1016/j.jpedsurg.2022.01.006

10. Murphy MK, Black NA, Lamping DL, McKee CM, Sanderson CF, Askham J, Marteau T. Consensus development methods, and their use in clinical guideline development. Health Technol Assess. 1998;2(3):i-88.

11. Mduma E, Ersdal H, Svensen E, Kidanto H, Auestad B, Perlman J. Frequent brief on-site simulation training and reduction in 24-h neonatal mortality—an educational intervention study. Resuscitation. 2015;1(93):1-7. https://doi.org/10.1016/j.resuscitation.2015.04.019.

12. Nelissen E, Ersdal H, Mduma E, Evjen-Olsen B, Twisk J, Broerse J, et al. Clinical performance and patient outcome after simulation-based training in prevention and management of postpartum haemorrhage: an educational intervention study in a low-resource setting. BMC Pregnancy Childbirth. 2017;17(1):1-9. https://doi.org/10.1186/s12884-017-1481-7.

13. van Tetering AA, Ntuyo P, Martens RP, Winter N, Byamugisha J, Oei SG, et al. Simulation-based training in emergency obstetric care in sub-Saharan and Central Africa: a scoping review. Ann Global Health. 2023;89(1):62. https://doi.org/10.5334/aogh.3891.

14. Ajmi SC, Advani R, Fjetland L, Kurz KD, Lindner T, Qvindesland SA, et al. Reducing door-to-needle times in stroke thrombolysis to 13 min through protocol revision and simulation training: a quality improvement project in a Norwegian stroke centre. BMJ Qual Saf. 2019;28(11):939-48. https://doi.org/10.1136/bmjqs-2018-009117.

15. Brazil V, Purdy E, Bajaj K. Simulation as an improvement technique. Cambridge University Press; 2023.

16. Schram A, Paltved C, Lindhard MS, Kjaergaard-Andersen G, Jensen HI, Kristensen S. Patient safety culture improvements depend on basic healthcare education: a longitudinal simulation-based intervention study at two Danish hospitals. BMJ Open Quality. 2022;11(1):e001658. https://doi.org/10.1136/bmjoq-2021-001658.

17. Ajmi SC, Kurz MW, Ersdal H, Lindner T, Goyal M, Issenberg SB, et al. Cost-effectiveness of a quality improvement project, including simulation-based training, on reducing door-to-needle times in stroke thrombolysis. BMJ Qual Saf. 2022;31(8):569-78. https://doi.org/10.1136/bmjqs-2021-013398.

18. Sullivan J, Al-Marri A, Almomani E, Mathias J. The impact of simulation-based education on nurses’ perceived predeployment anxiety during the COVID-19 pandemic within the cultural context of a middle eastern country. J Med Educ Curric Dev. 2021;8:23821205211061012. https://doi.org/10.1177/23821205211061012.

19. Madrigano J, Chandra A, Costigan T, Acosta JD. Beyond disaster preparedness: Building a resilience-oriented workforce for the future. Int J Environ Res Public Health. 2017;14(12):1563. https://doi.org/10.3390/ijerph14121563.

20. Barsuk JH, Cohen ER, Potts S, Demo H, Gupta S, Feinglass J, et al. Dissemination of a simulation-based mastery learning intervention reduces central line-associated bloodstream infections. BMJ Qual Saf. 2014;23(9):749-56. https://doi.org/10.1136/bmjqs-2013-002665.

21. Barsuk JH, Cohen ER, Feinglass J, McGaghie WC, Wayne DB. Use of simulation-based education to reduce catheter-related bloodstream infections. Arch Intern Med. 2009;169(15):1420-3. https://doi.org/10.1001/archinternmed.2009.215.

22. Gormley GJ, Fenwick T. Learning to manage complexity through simulation: students’ challenges and possible strategies. Perspect Med Educ. 2016;5:138–46. https://doi.org/10.1007/s40037-016-0275-3.

23. Eost-Telling C, Kingston P, Taylor L, Emmerson L. Ageing simulation in health and social care education: A mixed methods systematic review. J Adv Nurs. 2021;77(1):23-46. https://doi.org/10.1111/jan.14577.

24. McLaughlin C, Barry W, Barin E, Kysh L, Auerbach MA, Upperman JS, et al. Multidisciplinary simulation-based team training for trauma resuscitation: a scoping review. J Surg Educ. 2019;76(6):1669-80. https://doi.org/10.1016/j.jsurg.2019.05.002.

25. Murray RE, Ryan PB, Reisinger SJ. Design and validation of a data simulation model for longitudinal healthcare data. InAMIA Annual Symposium Proceedings 2011. Am Med Info Assoc. 2011;2011:1176-85.

26. What is ethics?. Government of Canada; 2015 [cited: 2024 Feb 24]. Available at: https://www.canada.ca/en/treasury-board-secretariat/services/values-ethics/code/what-is-ethics.html.

27. Watts PI, Rossler K, Bowler F, Miller C, Charnetski M, Decker S, et al. Onward and upward: introducing the healthcare simulation standards of best PracticeTM. Clin Simul Nurs. 2021;1(58):1-4.

28. Díaz-Navarro C, Laws-Chapman C, Moneypenny M, Purva M. The ASPiH Standards - 2023: guiding simulation-based practice in health and care [cited: 2024 Feb 25]. Available at: https://aspih.org.uk.

29. Lewis KL, Bohnert CA, Gammon WL, Hölzer H, Lyman L, Smith C, et al. The association of standardized patient educators (ASPE) standards of best practice (SOBP). Adv Simul. 2017;2(1):1-8. https://doi.org/10.1186/s41077-017-0043-4.

30. Healthcare Simulationist Code of Ethics. S. f. [cited: 2024 Feb 25]. Available at: https://www.ssih.org/healthcare-simulationist-code-ethics.

31. Purdy E, Symon B, Marks RE, Speirs C, Brazil V. Exploring equity, diversity, and inclusion in a simulation program using the SIM-EDI tool: the impact of a reflexive tool for simulation educators. Adv Simul. 2023;8(1):11. https://doi.org/10.1186/s41077-023-00250-7.

32. Schwerdtle N, Horton G, Kent F, Walker L, McLean M. Education for sustainable healthcare: a transdisciplinary approach to transversal environmental threats. Med Teach. 2020;42(10):1102-6. https://doi.org/10.1080/0142159X.2020.1795101.

How to Cite

1.

Armijo-Rivera S, Camps Gómez A, Prudencio Palomino C, Díaz-Guio A, Olmo Ferrer D, Díaz Navarro C. Multicultural Spanish adaptation of the Global Consensus Statement on Simulation-Based Practice in Healthcare. Colomb. J. Anesthesiol. [Internet]. 2025 Jun. 13 [cited 2026 Jan. 21];53(4). Available from: https://www.revcolanest.com.co/index.php/rca/article/view/1156