Más allá del realismo tecnológico: simulación clínica de alta fidelidad para la formación por competencias en estudiantes de Medicina. Revisión sistemática.
Resumo
Introducción: La simulación clínica de alta fidelidad se usa para adiestrar habilidades complejas antes de interactuar con pacientes autónomamente, aunque aún subsiste la duda acerca del valor extra que el realismo tecnológico tiene sobre diseños pedagógicos más económicos. Objetivo: Determinar la eficacia de la simulación clínica de alta fidelidad en el desarrollo de habilidades en alumnos de Medicina y reconocer las condiciones pedagógicas que se asocian con un mejor rendimiento. Métodos: Análisis sistemático de acuerdo a PRISMA 2020. Se investigaron investigaciones que se hayan publicado en PubMed/MEDLINE, Scopus, Web of Science, ERIC, CINAHL, SciELO y LILACS desde enero de 2010 hasta el 2 de agosto de 2026. Se incorporaron investigaciones cuasiexperimentales y experimentales con alumnos de la carrera de Medicina. La síntesis se llevó a cabo de manera narrativa, utilizando SWiM. Se utilizó RoB 2 o ROBINS-I para evaluar el riesgo de sesgo. Resultados: Se encontraron 300 registros y se incorporaron 30 estudios que contenían un total de 4,216 alumnos. La alta fidelidad mostró beneficios constantes en el trabajo colaborativo, el razonamiento clínico, la identificación del deterioro y la eficacia en los procedimientos, especialmente cuando involucró la práctica intencionada, las observaciones y el debriefing. Pero en la comparación directa con estrategias activas o de baja fidelidad, la superioridad era variable. La retención fue evaluada por diez estudios, y los resultados clínicos y la transferencia a pacientes reales fueron excelentes. Un exceso de confianza y el estrés eran consecuencias que podían ser dañinas. Conclusiones: En cuanto a habilidades individuales, la simulación de alta fidelidad es más beneficiosa para habilidades integradas y dinámicas. La eficacia depende sobre todo de la coherencia entre los objetivos, el debriefing, la evaluación, la dificultad y la práctica. Se recomienda elegir la fidelidad mínima que se requiere para la competencia, y verificar la transferencia y retención.
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Referências
1. Frank JR, Snell LS, Cate OT, et al. Competency-based medical education: theory to practice. Med Teach. 2010, 32(8), 638. https://doi.org/10.3109/0142159X.2010.501190.
2. Epstein RM, Hundert EM. Defining and assessing professional competence. JAMA. 2002, 287(2), 226. https://doi.org/10.1001/jama.287.2.226.
3. Gaba DM. The future vision of simulation in health care. Qual Saf Health Care. 2004, 13(Suppl 1), i2-i10. https://doi.org/10.1136/qshc.2004.009878.
4. Issenberg SB, McGaghie WC, Petrusa ER, Gordon DL, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Med Teach. 2005, 27(1), 10. https://doi.org/10.1080/01421590500046924.
5. Ramos G, Ardila Botero D. Percepción de la simulación clínica como didáctica en la enseñanza de hemorragia postparto en el Grado en Medicina. Rev Esp Edu Med. 2022, 3(1), 31. https://doi.org/10.6018/edumed.501861.
6. Hamstra SJ, Brydges R, Hatala R, Zendejas B, Cook DA. Reconsidering fidelity in simulation-based training. Acad Med. 2014, 89(3), 387. https://doi.org/10.1097/ACM.0000000000000130
7. Norman G, Dore K, Grierson L. The minimal relationship between simulation fidelity and transfer of learning. Med Educ. 2012, 46(7), 636. https://doi.org/10.1111/j.1365-2923.2012.04243.x.
8. McGaghie WC, Issenberg SB, Petrusa ER, Scalese RJ. A critical review of simulation-based medical education research: 2003-2009. Med Educ. 2010, 44(1), 50-63. https://doi.org/10.1111/j.1365-2923.2009.03547.x.
9. McGaghie WC, Issenberg SB, Cohen ER, Barsuk JH, Wayne DB. Does simulation-based medical education with deliberate practice yield better results than traditional clinical education? Acad Med. 2011, 86(6), 706. https://doi.org/10.1097/ACM.0b013e318217e119.
10. Cook DA, Hatala R, Brydges R, et al. Technology-enhanced simulation for health professions education: a systematic review and meta-analysis. JAMA. 2011, 306(9), 978-88. https://doi.org/10.1001/jama.2011.1234.
11. Cook DA, Hamstra SJ, Brydges R, et al. Comparative effectiveness of instructional design features in simulation-based education. Med Teach. 2013, 35(1), e867. https://doi.org/10.3109/0142159X.2012.714886.
12. 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. https://doi.org/10.3109/0142159X.2013.818632.
13. Cheng A, Eppich W, Grant V, Sherbino J, Zendejas B, Cook DA. Debriefing for technology-enhanced simulation: a systematic review and meta-analysis. Med Educ. 2014, 48(7), 657. https://doi.org/10.1111/medu.12432.
14. Rudolph JW, Simon R, Raemer DB, Eppich WJ. Debriefing as formative assessment: closing performance gaps in medical education. Acad Emerg Med. 2008, 15(11), 1010. https://doi.org/10.1111/j.1553-2712.2008.00248.x.
15. Ryall T, Judd BK, Gordon CJ. Simulation-based assessments in health professional education: a systematic review. J Multidiscip Healthc. 2016, 9, 69-82. https://doi.org/10.2147/JMDH.S92695.
16. Padilla MJ, González J, Sarmiento F, Tripoloni D, Cohen Arazi L. Simulación clínica: validación de encuesta de calidad y satisfacción en un grupo de estudiantes de Medicina. Rev Esp Edu Med. 2024, 5(1). https://doi.org/10.6018/edumed.591511.
17. McInerney N, Nally D, Khan MF, Heneghan H, Cahill RA. Performance effects of simulation training for medical students: a systematic review. GMS J Med Educ. 2022, 39(5). https://doi.org/10.3205/zma001572.
18. Ramah U, Keenoo BS. High-fidelity simulators in undergraduate medical education: a systematic review. Cureus. 2025, 17(10), e95019. https://doi.org/10.7759/cureus.95019.
19. Vade Martínez C, Painemal Rivera B, Serey Torres D, et al. Modelos anatómicos e instancias simuladas para el aprendizaje de competencias quirúrgicas de los estudiantes de medicina de pre y post grado. Una revisión sistemática. Rev Esp Edu Med. 2025, 6(1). https://doi.org/10.6018/edumed.638611.
20. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021, 372. https://doi.org/10.1136/bmj.n71.
21. Campbell M, McKenzie JE, Sowden A, et al. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ. 2020, 368. https://doi.org/10.1136/bmj.l6890.
22. Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. Version 2. London: Cochrane; 2019. https://www.riskofbias.info/welcome/rob-2-0-tool/current-version-of-rob-2.
23. Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016, 355. https://doi.org/10.1136/bmj.i4919.
24. McCoy CE, Menchine M, Anderson C, Kollen R, Langdorf MI, Lotfipour S. Prospective randomized crossover study of simulation vs. didactics for teaching medical students the assessment and management of critically ill patients. J Emerg Med. 2011, 40(4). https://doi.org/10.1016/j.jemermed.2010.02.026.
25. Cortegiani A, Russotto V, Montalto F, et al. Effect of high-fidelity simulation on medical students knowledge about advanced life support: a randomized study. PLoS One. 2015, 10(5). https://doi.org/10.1371/journal.pone.0125685.
26. DeWaay DJ, McEvoy MD, Kern DH, Alexander LA, Nietert PJ. Simulation curriculum can improve medical student assessment and management of acute coronary syndrome during a clinical practice exam. Am J Med Sci. 2014, 347(6). https://doi.org/10.1097/MAJ.0b013e3182a562d7.
27. Mutter MK, Martindale JR, Shah N, Gusic ME, Wolf SJ. Case-based teaching: does the addition of high-fidelity simulation make a difference in medical students clinical reasoning skills? Med Sci Educ. 2020, 30(1), 307. https://doi.org/10.1007/s40670-019-00904-0.
28. Solymos O, O’Kelly P, Walshe CM. Pilot study comparing simulation-based and didactic lecture-based critical care teaching for final-year medical students. BMC Anesthesiol. 2015, 15. https://doi.org/10.1186/s12871-015-0109-6.
29. Couto TB, Farhat SCL, Geis GL, Olsen O, Schvartsman C. High-fidelity simulation versus case-based discussion for teaching medical students in Brazil about pediatric emergencies. Clinics (Sao Paulo). 2015, 70(6), 393. https://doi.org/10.6061/clinics/2015(06)02.
30. Moliterno NV, Paravidino VB, Robaina JR, et al. High-fidelity simulation versus case-based discussion for training undergraduate medical students in pediatric emergencies: a quasi-experimental study. J Pediatr (Rio J). 2024, 100(4), 422. https://doi.org/10.1016/j.jped.2024.03.007.
31. Butter J, McGaghie WC, Cohen ER, Kaye M, Wayne DB. Simulation-based mastery learning improves cardiac auscultation skills in medical students. J Gen Intern Med. 2010, 25(8), 780. https://doi.org/10.1007/s11606-010-1309-x.
32. Kern DH, Mainous AG, Carey M, Beddingfield A. Simulation-based teaching to improve cardiovascular exam skills performance among third-year medical students. Teach Learn Med. 2011, 23(1), 15. https://doi.org/10.1080/10401334.2011.536753.
33. Perlini S, Salinaro F, Santalucia P, Musca F. Simulation-guided cardiac auscultation improves medical students clinical skills: the Pavia pilot experience. Intern Emerg Med. 2014, 9(2), 165. https://doi.org/10.1007/s11739-012-0811-z.
34. Sánchez-Ledesma MJ, Juanes JA, Gómez-Sánchez E, et al. Acquisition of competencies by medical students in neurological emergency simulation environments using high fidelity patient simulators. J Med Syst. 2016, 40(6), 139. https://doi.org/10.1007/s10916-016-0496-3.
35. Berger C, Brinkrolf P, Ertmer C, et al. Combination of problem-based learning with high-fidelity simulation in CPR training improves short and long-term CPR skills: a randomised single blinded trial. BMC Med Educ. 2019, 19, 180. https://doi.org/10.1186/s12909-019-1626-7.
36. Zhao Y, Zhang X, Li X, et al. Simulation-based training following a theoretical lecture enhances the performance of medical students in obtaining 20 standard cross-sectional transesophageal echocardiographic views: a prospective, randomized, controlled trial. BMC Med Educ. 2021, 21, 336. https://doi.org/10.1186/s12909-021-02753-1.
37. Puerma-Jiménez J, Pérez-Villares JM, Domínguez-Guzmán P, et al. High-fidelity simulation in airway management training: results from the AIR-MASTER-SIM randomised study. Front Med (Lausanne). 2026, 13, 1829702. https://doi.org/10.3389/fmed.2026.1829702.
38. Gonçalves BAR, Melo MCB, Oliveira ACL, et al. Teamwork in pediatric resuscitation: training medical students on high-fidelity simulation. Adv Med Educ Pract. 2022, 13, 697. https://doi.org/10.2147/AMEP.S365976.
39. Nicolaides M, Theodorou E, Emin EI, et al. Team performance training for medical students: low vs high fidelity simulation. Ann Med Surg (Lond). 2020, 55, 308. https://doi.org/10.1016/j.amsu.2020.05.042.
40. DeStephano CC, Chou B, Patel S, Slattery R, Hueppchen N. A randomized controlled trial of birth simulation for medical students. Am J Obstet Gynecol. 2015, 213(1), 91.e1. https://doi.org/10.1016/j.ajog.2015.03.024.
41. Massoth C, Röder H, Ohlenburg H, et al. High-fidelity is not superior to low-fidelity simulation but leads to overconfidence in medical students. BMC Med Educ. 2019, 19, 29. https://doi.org/10.1186/s12909-019-1464-7.
42. Valente BCHG, Melo MCB, Liu PMF, et al. High and low-fidelity simulation for respiratory diseases pediatric training: a prospective and randomized study. J Pediatr (Rio J). 2023, 99(5), 521. https://doi.org/10.1016/j.jped.2023.04.007.
43. Pal B, Chong SV, Thein AW, Tay AGM, Soe HHK, Pal S. A randomised controlled trial study on the effectiveness of high-fidelity simulation in enhancing skills among undergraduate medical students. Med J Malaysia. 2024, 79(4), 421. https://pubmed.ncbi.nlm.nih.gov/39086339/.
44. Fisher JM, Walker RW. A new age approach to an age old problem: using simulation to teach geriatric medicine to medical students. Age Ageing. 2014, 43(3), 424. https://doi.org/10.1093/ageing/aft200.
45. Grissa MH, Dhaoui R, Bel Haj Ali K, et al. Comparison of simulation and video-based training for acute asthma. BMC Med Educ. 2023, 23. https://doi.org/10.1186/s12909-023-04836-7.
46. Vattanavanit V, Kawla-Ied J, Bhurayanontachai R. High-fidelity medical simulation training improves medical students knowledge and confidence levels in septic shock resuscitation. Open Access Emerg Med. 2017, 9, 1. https://doi.org/10.2147/OAEM.S122525.
47. Yu JH, Chang HJ, Kim SS, et al. Effects of high-fidelity simulation education on medical students anxiety and confidence. PLoS One. 2021, 16(5). https://doi.org/10.1371/journal.pone.0251078.
48. Barbadoro P, Brunzini A, Dolcini J, et al. Stress responses in high-fidelity simulation and standard simulation training among medical students. BMC Med Educ. 2023, 23, 116. https://doi.org/10.1186/s12909-023-04101-x.
49. Martín-Sánchez R, Castro Villamor MA, Rabanales-Soto J, et al. Threshold-anxiety in medical students performing a prehospital high-fidelity clinical simulation: randomized clinical trial. Am J Emerg Med. 2025, 94, 103. https://doi.org/10.1016/j.ajem.2025.04.039.
50. Swamy M, Bloomfield TC, Thomas RH, Singh H, Searle RF. Role of SimMan in teaching clinical skills to preclinical medical students. BMC Med Educ. 2013, 13, 20. https://doi.org/10.1186/1472-6920-13-20.
51. Swamy M, Sawdon M, Chaytor A, Cox D, Barbaro-Brown J, McLachlan J. A study to investigate the effectiveness of SimMan as an adjunct in teaching preclinical skills to medical students. BMC Med Educ. 2014, 14, 231. https://doi.org/10.1186/1472-6920-14-231.
52. Alluri RK, Tsing P, Lee E, Napolitano J. A randomized controlled trial of high-fidelity simulation versus lecture-based education in preclinical medical students. Med Teach. 2016, 38(4), 404-9. https://doi.org/10.3109/0142159X.2015.1031734.
53. Bernardi S, Giudici F, Leone MF, et al. A prospective study on the efficacy of patient simulation in heart and lung auscultation. BMC Med Educ. 2019, 19, 275. https://doi.org/10.1186/s12909-019-1708-6.
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