Skip to main content
SpringerLink
Log in

Efficacy of High-Fidelity Simulation on Learning Outcomes: Immediate Results for a Postgraduate Intensive Care Nursing Course

  • Conference paper
  • First Online:
Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops (MIS4TEL 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1008 ))

Abstract

High-Fidelity Simulation (HFS) founded on critical care scenarios requires nursing students to perform clinical interventions to effectively face life-threatening conditions. Since little evidence is available on the effectiveness of HFS on knowledge, self-confidence, self-efficacy, performance, and satisfaction of postgraduate nursing students attending an intensive care course, a before-and-after study was conducted on 28 students to document any change of learning outcomes in a respiratory failure scenario. After the HFS session, a significant improvement for self-confidence was revealed. Beyond the statistical significance, the HFS demonstrated to be a valuable complement to traditional education for many students, determining an improvement of their knowledge and self-efficacy. High level in performance and satisfaction during and after HFS session were also documented, confirming HFS as a valid teaching method in the achievement of learning goals, especially when associated with the traditional work placement models, in nursing students attending a postgraduate academic course on intensive and emergency care.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Waxman, K.: The development of evidence-based clinical simulation scenarios: guidelines for nurse educators. J. Nurs. Educ. 49(1), 29–35 (2010)

    Article  Google Scholar 

  2. 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: Vittorini, P., Gennari, R., Di Mascio, T., Rodríguez, S., De la Prieta, F., Ramos, C., Azambuja Silveira, R. (eds.) Methodologies and Intelligent Systems for Technology Enhanced Learning. AISC, pp. 57–64. Springer, Cham (2017)

    Google Scholar 

  3. McGaghie, W.C., Issenberg, S.B., Cohen, E.R., Barsuk, J.H., Wayne, D.B.: Does simulation-based medical education with deliberate practice yield better results than traditional clinical education? A meta-analytic comparative review of the evidence. Acad. Med. 86(6), 706–711 (2011)

    Article  Google Scholar 

  4. La Cerra, C., Dante, A., Caponnetto, V., Franconi, I., Gaxhja, E., Petrucci, C., Lancia L.: High-fidelity patient simulation in critical care area: a methodological overview. In: Di Mascio, T., Vittorini, P., Gennari, R., De la Prieta, F., Rodríguez, S., Temperini, M., Azambuja Silveira, R., Popescu, E., Lancia, L. (eds.) Advances in Intelligent Systems and Computing, pp. 269–274. Springer, Cham (2019)

    Google Scholar 

  5. Kim, J., Park, J.H., Shin, S.: Effectiveness of simulation-based nursing education depending on fidelity: a meta-analysis. BMC Med. Educ. 23(16), 152 (2016)

    Article  Google Scholar 

  6. Leigh, G.T.: High-fidelity patient simulation and nursing students’ self-efficacy: a review of the literature. Int. J. Nurs. Educ. Scholarsh. 5(1), 1–17 (2008)

    Google Scholar 

  7. Petrucci, C., Alvaro, R., Cicolini, G., Cerone, M.P., Lancia, L.: Percutaneous and mucocutaneous exposures in nursing students: an Italian observational study. Int. J. Nurs. Educ. Scholarsh. 41(4), 337–343 (2009)

    Article  Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. Newton, J.M., McKenna, L.: The transitional journey through the graduate year: a focus group study. Int. J. Nurs. Stud. 44(7), 1231–1237 (2007)

    Article  Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. Hunt, D.P.: The concept of knowledge and how to measure it. JIC 4(1), 100–113 (2003)

    Article  Google Scholar 

  12. Garside, J.R., Nhemachena, J.Z.: A concept analysis of competence and its transition in nursing. Nurse Educ. Today 33(5), 541–545 (2013)

    Article  Google Scholar 

  13. Robb, Y., Dietert, C.: Measurement of clinical performance of nurses: a literature review. Nurse Educ. Today 22(4), 293–300 (2002)

    Article  Google Scholar 

  14. Zulkosky, K.: Self-efficacy: a concept analysis. Nurs. Forum 44(2), 93–102 (2009)

    Article  Google Scholar 

  15. Perry, P.: Concept analysis: confidence/self-confidence. Nurs. Forum 46(4), 218–230 (2011)

    Article  Google Scholar 

  16. Dante, A., La Cerra, C., Caponnetto, V., Franconi, I., Gaxhja, E., Petrucci, C., Lancia L.: Efficacy of high-fidelity patient simulation in nursing education: research protocol of ‘S4NP’ randomized controlled trial. In: Di Mascio, T., Vittorini, P., Gennari, R., De la Prieta, F., Rodríguez, S., Temperini, M., Azambuja Silveira, R., Popescu, E., Lancia, L. (eds.) Advances in Intelligent Systems and Computing, pp. 261–268. Springer, Cham (2019)

    Google Scholar 

  17. Schwarzer, R.: Measurement of Perceived Self-efficacy: Psychometric Scales for Cross-Cultural Research. Free University of Berlin, Institute for Psychology, Berlin (1993)

    Google Scholar 

  18. Jeffries, P.R., Rizzolo, M.A.: Designing and Implementing Models for the Innovative Use of Simulation to Teach Nursing Care of Ill Adults and Children: A National, Multi-Site, Multi-Method Study (2006)

    Google Scholar 

  19. Pub. L. No. 196: Codice in materia di protezione dei dati personali (2003)

    Google Scholar 

  20. INACSL Committee: INACSL standards of best practice: SimulationSM Simulation design. Clin. Simul. Nurs. 12, S5–S12 (2016)

    Article  Google Scholar 

  21. Menarini, M., Petrini, F., Bigi, E., Donato, P., Di Filippo, A.: Linee-guida per la gestione preospedaliera delle vie aeree. Società Italiana di Anestesia Rianimazione e Terapia Antalgica. http://www.siaarti.it/SiteAssets/Ricerca/Linee-guida-per-la-gestione-preospedaliera-delle-vie-aeree/linee_guida_file_32.pdf. Accessed 02 Oct 2019

  22. Colt, H.G., Davoudi, M., Murgu, S., Rohani, N.Z.: Measuring learning gain during a one-day introductory bronchoscopy course. Surg. Endosc. 25(1), 207–216 (2011)

    Article  Google Scholar 

  23. Hake, R.R.: Interactive-engagement versus traditional methods: a six-thousand-student survey of mechanics test data for introductory physics courses. AJP 66(1), 64–74 (1998)

    Google Scholar 

  24. McGowan, M., Davis, G.: Individual gain and engagement with teaching goals. In: Proceedings of the 26th Annual Conference of the International Group for the Psychology of Mathematics Education, North American Chapter OISE, Toronto (2005)

    Google Scholar 

  25. D’Addio, L.: La sanità italiana è donna. L’infermiere 2 (2011)

    Google Scholar 

  26. Boling, B., Hardin-Pierce, M.: The effect of high-fidelity simulation on knowledge and confidence in critical care training: an integrative review. Nurse Educ. Pract. 16(1), 287–293 (2016)

    Article  Google Scholar 

  27. Kolb, D.: Experiential Learning: Experience as the Source of Learning and Development. Prentice Hall, Upper Saddle River (1984)

    Google Scholar 

  28. La Cerra, C., Dante, A., Caponnetto, V., Franconi, I., Gaxhja, E., Petrucci, C., Alfes, C.M., Lancia, L.: Effects of high-fidelity simulation based on life-threatening clinical condition scenarios on learning outcomes of undergraduate and postgraduate nursing students: a systematic review and meta-analysis. BMJ Open 22, e025306 (2019)

    Article  Google Scholar 

  29. Baptista, R.C., Paiva, L.A., Goncalves, R.F., Oliveira, L.M., Pereira, M.F., Martins, J.C.: Satisfaction and gains perceived by nursing students with medium and high-fidelity simulation: a randomized controlled trial. Nurse Educ. Today 46, 127–132 (2016)

    Article  Google Scholar 

  30. Kang, K.A., Kim, S., Kim, S.J., Oh, J., Lee, M.: Comparison of knowledge, confidence in skill performance (CSP) and satisfaction in problem-based learning (PBL) and simulation with PBL educational modalities in caring for children with bronchiolitis. Nurse Educ. Today 35(2), 315–321 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Health, Life and Environmental Sciences, University of L’Aquila, Edificio Delta 6 - Via Giuseppe Petrini, 67100, L’Aquila, Italy

    Angelo Dante, Carmen La Cerra, Vittorio Masotta, Valeria Caponnetto, Elona Gaxhja, Cristina Petrucci & Loreto Lancia

Authors
  1. Angelo Dante
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Carmen La Cerra
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vittorio Masotta
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Valeria Caponnetto
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Elona Gaxhja
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Cristina Petrucci
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Loreto Lancia
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Angelo Dante .

Editor information

Editors and Affiliations

  1. Faculty of Automation, Computers and Electronics, Computers and Information Technology Department, University of Craiova, Craiova, Romania

    Elvira Popescu

  2. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Ana Belén Gil

  3. Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila , L'Aquila, Italy

    Loreto Lancia

  4. Dipartimento di Studi umanistici, Univeriosta degli Studi die Napoli Federico II, Naples, Italy

    Luigia Simona Sica

  5. KTH Royal Institute of Technology, Stockholm, Sweden

    Anna Mavroudi

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dante, A. et al. (2020). Efficacy of High-Fidelity Simulation on Learning Outcomes: Immediate Results for a Postgraduate Intensive Care Nursing Course. In: Popescu, E., Belén Gil, A., Lancia, L., Simona Sica, L., Mavroudi, A. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops. MIS4TEL 2019. Advances in Intelligent Systems and Computing, vol 1008 . Springer, Cham. https://doi.org/10.1007/978-3-030-23884-1_5

Download citation

Publish with us

Policies and ethics

Search

Navigation