This journal only 2020, Number 3 Simulación Clínica 2020; 2 (3) Multimodal simulation in stroke: a standardized and virtual patient with mobile tracking app for interprofessional training Navia-González V, Partarrieu-Stegmeier R, Ahumada-Millar D, Armijo-Rivera S, Lavados P Full text How to cite this article 10.35366/97900 × DOI DOI: 10.35366/97900 URL: https://dx.doi.org/10.35366/97900 Language: Spanish References: 14 Page: 99-105 PDF size: 270.61 Kb. Key words: Stroke care, simulation training, standardized patient, tracking approach, interprofessional training, team training. ABSTRACT Introduction: Ischemic stroke is a time-dependent disease, with early diagnosis and interdisciplinary and coordinated management between pre-hospital and in-hospital being key to patient management. Interprofessional training has incorporated various teaching technologies, such as simulation with standardized patients, virtual simulators, and telephone applications for tracking clinical processes. There are few publications regarding the impact of multimodal and interprofessional training on initial stroke management. The objective of this work was to evaluate the impact on confidence, perception of knowledge and satisfaction of the participants of a multimodal workshop for interprofessional training in the initial management of stroke. Material and methods: A workshop was organized with pre-hospital and intra-hospital interprofessional groups, based on standardized patient simulation, virtual simulation and a telephone application for tracking clinical processes. A questionnaire was applied to the 26 participants to investigate the level of satisfaction with the simulation and the telephone application. Quantitative data was analyzed using descriptive statistics. Results: The response rate was 67% (17/26). 100% reported a self-perception of increased confidence in their stroke management abilities, 100% feel that debriefing instances favor their learning and 93.4% believed that an app contributes to the improvement of prehospital management of patients. Conclusion: A workshop based on multimodal simulation and process monitoring technologies promotes the learning process and the confidence of trained personnel in the initial management of time-dependent diseases such as stroke. REFERENCES GBD 2016 Stroke Collaborators. Global, regional, and national burden of stroke, 1990 to 2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019; 18 (5): 439-458. Saver JL, Goyal M, van der Lugt A, Menon BK, Majoie CB, Dippel DW, et al. Time to treatment with endovascular thrombectomy and outcomes from ischemic stroke: a meta-analysis. JAMA. 2016; 316: 1279-1288. Meretoja A, Keshtkaran M, Saver JL, Tatlisumak T, Parsons MW, Kaste M, et al. Stroke thrombolysis: save a minute, save a day. Stroke. 2014; 45: 1053-1058. Strbian D, Ahmed N, Wahlgren N, Lees KR, Toni D, Roffe C, et al. Trends in door-to-thrombolysis time in the safe implementation of stroke thrombolysis registry: effect of center volume and duration of registry membership. Stroke. 2015; 46: 1275-1280. Meretoja A, Strbian D, Mustanoja S, Tatlisumak T, Lindsberg PJ, Kaste M. Reducing in-hospital delay to 20 minutes in stroke thrombolysis. Neurology. 2012; 79: 306-313. Rall M, Schaedle B, Zieger J, Naef W, Weinlich M. Neue trainingsformen und erhöhung der patientensicherheit. Der Unfallchirurg. 2002; 105: 1033-1042. Motola I, Devine LA, Chung HS, Sullivan JE, Issenberg SB. Simulation in healthcare education: a best evidence practical guide. AMEE Guide No. 82. Med Teach. 2013; 35 (10): e1511-e1530. doi: 10.3109/0142159X.2013.818632. 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): 939-948. doi: 10.1136/bmjqs-2018-009117. Tahtali D, Bohmann F, Rostek P, Wagner M, Steinmetz H, Pfeilschifter W. Setting up a stroke team algorithm and conducting simulation-based training in the emergency department - a practical guide. J Vis Exp. 2017; (119): 55138. doi: 10.3791/55138. Carvalho VS Jr, Picanço MR, Volschan A, Bezerra DC. Impact of simulation training on a telestroke network. Int J Stroke. 2019; 14 (5): 500-507. Baptista RC, Paiva LA, Gonçalves RF, Oliveira LM, Pereira MF, Martins JC. Satisfaction and gains perceived by nursing students with medium and high-fidelity simulation: A randomized controlled trial. Nurse Educ Today. 2016; 46: 127-132. Pinto C, Possanza A, Karpa K. Examining student perceptions of an inter-institutional interprofessional stroke simulation activity. J Interprof Care. 2018; 32 (3): 391-394. doi: 10.1080/13561820.2017.1405921. Ruff IM, Liberman AL, Caprio FZ, Maas MB, Mendelson SJ, Sorond FA, et al. A resident boot camp for reducing door-to-needle times at academic medical centers. Neurol Clin Pract. 2017; 7 (3): 237-245. Munich SA, Tan LA, Nogueira DM, Keigher KM, Chen M, Crowley RW, et al. Mobile real-time tracking of acute stroke patients and instant, secure inter-team communication - the join app. Neurointervention. 2017; 12 (2): 69-76. doi: 10.5469/neuroint.2017.12.2.69.