Abstract
High-Fidelity Patient Simulation is defined as a replicated clinical experience in a controlled learning environment that closely represents reality. This learning method creates the opportunity for students to gain specific and fundamental clinical skills in a controlled, safe, and forgiving environment. Even though the available evidence shows the impact of High-Fidelity Patient Simulation in improving nursing students’ learning objectives, several reasons do not allow confirming its effectiveness. Many studies show weakness in validity and reliability due to the low quality of study design, inadequate sample size and/or convenience sample recruitment. Furthermore, most studies appear uneven in research methods and unstable in outcome measurements. Finally, little is known about learning outcome retention. Therefore, high-level studies are required to strongly confirm the impact of High-Fidelity Patient Simulation on students’ learning outcomes, especially on long-term retention, and on patients’ advantages. This trial project, called S4NP (Simulation for Nursing Practice), was designed to confirm if the nursing students’ exposure to complementary training based on High-Fidelity Patient Simulation could produce long-term beneficial effects on learning outcomes compared to the traditional training program.
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Lewis, R., Strachan, A., Smith, M.M.: Is high fidelity simulation the most effective method for the development of non-technical skills in nursing? A review of the current evidence. Open Nurs. J. 6, 82–89 (2012)
Cant, R.P., Cooper, S.J.: Simulation-based learning in nurse education: systematic review. J. Adv. Nurs. 66(1), 3–15 (2010)
Helyer, R., Dickens, P.: Progress in the utilization of high-fidelity simulation in basic science education. J. Adv. Nurs. 40(2), 143–144 (2016)
Cannon-Diehl, M.R.: Simulation in healthcare and nursing: state of the science. Crit. Care Nurs. Q. 32(2), 128–136 (2009)
Decker, S., Sportsman, S., Puetz, L., Billings, L.: The evolution of simulation and its contribution to competency. J. Contin. Educ. Nurs. 39(2), 74–80 (2008)
Petrucci, C., La Cerra, C., Caponnetto, V., Franconi, I., Gaxhja, E., Rubbi, I., Lancia, L.: Literature-based analysis of the potentials and the limitations of using simulation in nursing education. In: Methodologies and Intelligent Systems for Technology Enhanced Learning, pp. 57–64. Springer, Cham (2017)
Pittman, O.A.: The use of simulation with advanced practice nursing students. J. Am. Assoc. Nurse Pract. 24(9), 516–520 (2012)
Yuan, H.B., Williams, B.A., Fang, J.B., Ye, Q.H.: A systematic review of selected evidence on improving knowledge and skills through high-fidelity simulation. Nurse Educ. Today 32(3), 294–298 (2012)
Vincent, M.A., Sheriff, S., Mellott, S.: The efficacy of high-fidelity simulation on psychomotor clinical performance improvement of undergraduate nursing students. Comput. Inform. Nurs. 33(2), 78–84 (2015)
Wolf, Z.R., Hicks, R., Serembus, J.F.: Characteristics of medication errors made by students during the administration phase: a descriptive study. J. Prof. Nurs. 22(1), 39–51 (2006)
Dante, A., Natolini, M., Graceffa, G., Zanini, A., Palese, A.: The effects of mandatory preclinical education on exposure to injuries as reported by Italian nursing students: a 15-year case–control, multicentre study. J. Clin. Nurs. 23(5–6), 900–904 (2014)
Petrucci, C., Alvaro, R., Cicolini, G., Cerone, M.P., Lancia, L.: Percutaneous and mucocutaneous exposures in nursing students: an Italian observational study. J. Nurs. Scholarsh. 41(4), 337–343 (2009)
Cicolini, G., Di Labio, L., Lancia, L.: Prevalence of biological exposure among nursing students: an observational study. Prof. Inf. 61(4), 217–222 (2008)
Roberts, D., Greene, L.: The theatre of high-fidelity simulation education. Nurse Educ. Today 31(7), 694–698 (2011)
Warren, J.N., Luctkar-Flude, M., Godfrey, C., Lukewich, J.: A systematic review of the effectiveness of simulation-based education on satisfaction and learning outcomes in nurse practitioner programs. Nurse Educ. Today 46, 99–108 (2016)
Byrd, J.F., Pampaloni, F., Wilson, L.: Hybrid simulation. In: Human Simulation for Nursing and Health Professions, pp. 267–271. Springer (2012)
Haut, C., Fey, M.K., Akintade, B., Klepper, M.: Using high-fidelity simulation to teach acute care pediatric nurse practitioner students. J. Nurse Pract. 10(10), e87–e91 (2014)
Scherer, Y.K., Bruce, S.A., Runkawatt, V.: A comparison of clinical simulation and case study presentation on nurse practitioner students’ knowledge and confidence in managing a cardiac event. Int. J. Nurs. Educ. Scholarsh. 4(1) (2007)
Kardong-Edgren, S.: Striving for higher levels of evaluation in simulation. Clin. Simul. Nurs. 6(6), e203–e204 (2010)
Rutherford-Hemming, T.: Learning in simulated environments: effect on learning transfer and clinical skill acquisition in nurse practitioner students. J. Nurs. Educ. 51(7), 403–406 (2012)
Shin, S., Park, J.-H., Kim, J.-H.: Effectiveness of patient simulation in nursing education: meta-analysis. Nurse Educ. Today 35(1), 176–182 (2015)
Zulkosky, K.: Self-efficacy: a concept analysis. Nurs. Forum 44(2), 93–102 (2009)
Perry, P.: Concept analysis: confidence/self-confidence. Nurs. Forum 46(4), 218–230 (2011)
Robb, Y., Dietert, C.: Measurement of clinical performance of nurses: a literature review. Nurse Educ. Today 22(4), 293–300 (2002)
Garside, J.R., Nhemachena, J.Z.: A concept analysis of competence and its transition in nursing. Nurse Educ. Today 33(5), 541–545 (2013)
Hunt, D.P.: The concept of knowledge and how to measure it. J. Intellect. Cap. 4(1), 100–113 (2003)
Lancia, L., Petrucci, C., Giorgi, F., Dante, A., Cifone, M.G.: Academic success or failure in nursing students: results of a retrospective observational study. Nurse Educ. Today 33(12), 1501–1505 (2013)
Dante, A., Petrucci, C., Lancia, L.: European nursing students’ academic success or failure: a post-Bologna Declaration systematic review. Nurse Educ. Today 33(1), 46–52 (2013)
Department of Life, Health, and Environmental Sciences: Didactic regulation of Bachelor Degree in Nursing Science in academic year 2017/2018
Ronaldson, S., Adamson, J., Dyson, L., Torgerson, D.: Waiting list randomized controlled trial within a case-finding design: methodological considerations. J. Eval. Clin. Pract. 20(5), 601–605 (2014)
Cunningham, J.A., Kypri, K., McCambridge, J.: Exploratory randomized controlled trial evaluating the impact of a waiting list control design. BMC Med. Res. Methodol. 13(1), 150 (2013)
Shrier, I., Steele, R.J., Verhagen, E., Herbert, R., Riddell, C.A., Kaufman, J.S.: Beyond intention to treat: what is the right question? Clin. Trials 11(1), 28–37 (2014)
Sedgwick, P.: Intention to treat analysis versus per protocol analysis of trial data. BMJ 350, 681 (2015)
Wassertheil-Smoller, S., Kim, M.Y.: Statistical analysis of clinical trials. Semin. Nucl. Med. 40(5), 357–363 (2010)
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Dante, A. et al. (2019). Efficacy of High-Fidelity Patient Simulation in Nursing Education: Research Protocol of ‘S4NP’ Randomized Controlled Trial. In: Di Mascio, T., et al. Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference. MIS4TEL 2018. Advances in Intelligent Systems and Computing, vol 804. Springer, Cham. https://doi.org/10.1007/978-3-319-98872-6_31
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