Skip to main content
Journal of Nursing Education, 2012;51(1):9–15
Published Online:https://doi.org/10.3928/01484834-20111116-01Cited by:56

Abstract

The use of high-fidelity simulation as an accepted substitute for traditional clinical learning experiences in nursing education has gained acceptance over the past decade, as evidenced by the California Board of Registered Nursing now allowing up to 25% of student clinical learning to occur in simulation laboratories. However, little research evidence has documented the efficacy of these simulated learning experiences, particularly on objective outcomes such as examination performance. Therefore, this study examined the effects of high-fidelity simulation participation on knowledge acquisition in 104 undergraduate nursing students. Students who participated in high-fidelity simulation scenarios scored significantly higher on examinations than students who did not. These findings provide beginning evidence that high-fidelity simulation can be an effective substitute for traditional clinical experience. More importantly, the findings may help boards of nursing more effectively regulate the use of high-fidelity simulation in the future.

  • Adbo A., Ravert P. (2006). Student satisfaction with simulation experiences. Clinical Simulation in Nursing, 2(1), e13–e16.10.1016/j.ecns.2009.05.00910.1016/j.ecns.2009.05.009

    CrossrefGoogle Scholar
  • Alinier G., Hunt B., Gordon R., Harwood C. (2006). Effectiveness of intermediate-fidelity simulation training in undergraduate nursing education. Journal of Advanced Nursing, 54, 359–369.10.1111/j.1365-2648.2006.03810.x10.1111/j.1365-2648.2006.03810.x

    Crossref MedlineGoogle Scholar
  • Benner P., Sutphen M., Leonard V., Day L. (2010). Educating nurses: A call for a radical transformation. San Francisco, CA: Jossey-Bass.

    Google Scholar
  • Bremner M., Aduddell K., Bennet D., VanGeest J. (2006). The use of human patient simulators: Best practices with novice nursing students. Nurse Educator, 31, 170–174.10.1097/00006223-200607000-00011

    Crossref MedlineGoogle Scholar
  • California Board of Registered Nursing. (2011). Approved Regulatory Language—Prelicensure Nursing Program with Documents Incorporated by Reference (Effective 10/21/10). Retrieved from http://www.rn.ca.gov/pdfs/regulations/approvedlang.pdf

    Google Scholar
  • Cohen J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar
  • Dillard N., Sideras S., Ryan M., Carltone K., Lasater K., Sitberg L. (2009). A collaborative project to apply and evaluate the clinical judgment model through simulation. Nursing Education Perspectives, 30, 99–104.

    MedlineGoogle Scholar
  • Feingold C., Calaluce M., Kallen M. (2004). Computerized patient model and simulated clinical experiences: Evaluation with baccalaureate nursing students. Journal of Nursing Education, 43, 156–163.

    LinkGoogle Scholar
  • Gates M. (2008, August). Developing a simulation center for your nursing school. Paper presented at the Technology Integration in Nursing Education and Practice Conference, Durham, NC.

    Google Scholar
  • Gomez G.E., Gomez E.A. (1987). Learning of psychomotor skill: Laboratory versus patient care setting. Journal of Nursing Education, 26, 20–24.

    LinkGoogle Scholar
  • Jeffries P. (2009). Dreams for the future for clinical simulation. Nursing Education Perspectives, 30, 71.

    MedlineGoogle Scholar
  • Kardong-Edgren S., Anderson M., Michaels J. (2007). Does simulation fidelity improve student test scores?Clinical Simulation in Nursing, 3(1), e21–e24.10.1016/j.ecns.2009.05.03510.1016/j.ecns.2009.05.035

    CrossrefGoogle Scholar
  • Kohn L.T., Corrigan J., Donaldson M.S. (2000). To err is human: Building a safer health system. Washington, DC: National Academy Press.

    Google Scholar
  • Landeen J., Jeffries P. (2008). Simulation. Journal of Nursing Education, 47, 487–488.10.3928/01484834-20081101-03

    LinkGoogle Scholar
  • McCallum J. (2007). The debate in favour of using simulation education in pre-registration adult nursing. Nurse Education Today, 27, 825–831.10.1016/j.nedt.2006.10.01410.1016/j.nedt.2006.10.014

    Crossref MedlineGoogle Scholar
  • Mcintosh C., Macario A., Flanangan B., Gaba D.M. (2005, November). Simulation: What does it really cost. Poster session presented at the SimTecT 2005 Healthcare Symposium, Brisbane, Australia.

    Google Scholar
  • National Council of State Boards of Nursing. (2009). The effect of high-fidelity simulation on nursing students’ knowledge and performance: A pilot study. Retrieved from https://www.ncsbn.org/09_SimulationStudy_Vol40_web_with_cover.pdf

    Google Scholar
  • National Council of State Boards of Nursing. (2011). The national simulation study. Retrieved from https://www.ncsbn.org/2094.htm

    Google Scholar
  • Nehring W. (2008). U.S. boards of nursing and the use of high-fidelity patient simulators in nursing education. Journal of Professional Nursing, 24, 109–117.10.1016/j.profnurs.2007.06.02710.1016/j.profnurs.2007.06.027

    Crossref MedlineGoogle Scholar
  • Nehring W., Lashley F. (2010). High-fidelity patient simulation in nursing education. Sudbury, MA: Jones and Bartlett.

    Google Scholar
  • Radhakrishnan J., Roche J., Cunningham H. (2007). Measuring clinical practice parameters with human patient simulation. A pilot study. International Journal of Nursing Education Scholarship, 4(1), Article 8. Retrieved from http://www.bepress.com/ijnes/vol4/iss1/art8.10.2202/1548-923X.130710.2202/1548-923X.1307

    CrossrefGoogle Scholar
  • Schlairet M., Pollock J. (2010). Equivalence testing of traditional and simulated clinical experiences: Undergraduate nursing students’ knowledge acquisition. Journal of Nursing Education, 49, 43–47.10.3928/01484834-20090918-0810.3928/01484834-20090918-08

    LinkGoogle Scholar
  • Schumacher L. (2004). The impact of utilizing high-fidelity computer simulation on critical thinking abilities and learning outcomes in undergraduate nursing students (Unpublished doctoral dissertation). Duquesne University, Pittsburgh, PA.

    Google Scholar
  • Seropian M.A., Brown K., Gavilanes J.S., Driggers B. (2004a). An approach to simulation program development. Journal of Nursing Education, 43, 170–174.

    LinkGoogle Scholar
  • Seropian M.A., Brown K., Gavilanes J.S., Driggers B. (2004b). Simulation: Not just a manikin. Journal of Nursing Education, 43, 164–169.

    LinkGoogle Scholar
  • Weaver A. (2011). High-fidelity patient simulation in nursing education: An integrative review. Nursing Education Perspectives, 32, 37–40.10.5480/1536-5026-32.1.37

    Crossref MedlineGoogle Scholar
  • Wooldridge J.M. (2009). Introductory econometrics: A modern approach (4th ed.). Cincinnati, OH: Southwestern College Publishing.

    Google Scholar
  • Yurek L.A., Vasey J., Havens D.S. (2008). Use of self-generated identification codes in longitudinal research. Evaluation Review, 32, 535–452.10.1177/0193841X0831667610.1177/0193841X08316676

    CrossrefGoogle Scholar

We use cookies on this site to enhance your user experience. For a complete overview of all the cookies used, please see our privacy policy.

×