Browse > Article
http://dx.doi.org/10.14400/JDC.2018.16.2.203

Development and Effects of Simulation Educational Program for Nursing Students  

Im, Kyung Ja (College of Nursing, Jesus University)
Yang, Bok Sun (College of Nursing, Jesus University)
Kim, Yoon Lee (Department of Nursing, Hanil University and Presbyterian Theological Seminary)
Publication Information
Journal of Digital Convergence / v.16, no.2, 2018 , pp. 203-213 More about this Journal
Abstract
Purpose. This study was conducted to identify effects of the high fidelity simulation for nursing students. Methods. A non-equivalent quasi-experimental design was used to experimental group (N=43) and control group (N=39) for 8 weeks, 5 times from September 26 to November 9, 2013. Clinical performance was measured by using standardized patients. Critical thinking was measured through the questionnaire and clinical judgement was measured through observation by Lasater's rubric. Results. Clinical performance (F=211.15, p<.001), critical thinking (t=3.00, p<.004) and clinical judgement (t=7.60, p<.001) were significantly higher in experimental group with simulation education program than control group. Conclusion. Simulation education program were effective to improve clinical performance, critical thinking disposition and clinical judgement for nursing students.
Keywords
Simulation; Clinical performance; Critical thinking; Clinical judgement; Nursing students;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
연도 인용수 순위
1 Moon, M. Y. (2017). Effects of Convergence-based Integrated simulation Practice program on the Clinical decision making, Problem solving process, Clinical competence and Confidence of core fundamental nursing skill performance for Nursing Students. Journal of Digital Convergence, 15(7), 271-284.2017 DOI : 10.14400/JDC.2017.15.7.271   DOI
2 Kim, Y. H. (2010). Effect of a Simulation-based Education on Cardio-pulmonary Emergency Care Knowledge, Clinical Performance Ability and Problem Solving Process Among New Nurses. Doctoral dissertation. Chonnam University, Gwangju.
3 Gark, G. H. (2013). Development and Application of Medication Error Preventive Simulation Education for Nursing Students. Doctoral dissertation. Cathlic University, Seoul.
4 Shinnick, M. A., Woo, M., Horwich, T. B., & Steadman, R. (2011). Debriefing: the most important component in simulation?. Clinical Simulation in Nursing, 7(30), e105-e111. DOI : 10.1016/j.ecns.2010.11.005   DOI
5 Kim, D. H., Lee, Y., Hwang, M. S., Park, J. H., Kim, H. S., & Cha, H. G. (2012). Effects of a simulation-based integrated clinical practice program (SICPP) on the problem solving process, clinical competence and critical thinking in a nursing student. The Journal of Korean Academic Society of Nursing Education, 18(3), 499-509. DOI : 10.5977/jkasne.2012.18.3.499   DOI
6 Shin, H., Ma, H., Park, J., Ji, E. S., & Kim, D. H. (2015). The effect of simulation courseware on critical thinking in undergraduate nursing students: Multi-site pre-post study. Nurse education today, 35(4), 537-542. DOI : 10.1016/j.nedt.2014.12.004   DOI
7 Alinier, G., Hunt, B., Gordon, R., & Harwood, C. (2006). Effectiveness of intermediate‐fidelity simulation training technology in undergraduate nursing education. Journal of advanced nursing, 54(3), 359-369.   DOI
8 Scherer, Y. K., Bruce, S. A., Graves, B. T., & Erdley, W. S. (2003). Acute care nurse practitioner education enhancing performance through the use of clinical simulation. AACN Advanced Critical Care, 14(3), 331-341.
9 Kyle, R. R., & Murray, W. B. (2008). Clinical simulation: Operation, Engineering and management. Academic Press: Boston.
10 Hur, H. K., & Park, S. M. (2012). Effects of simulation based education, for emergency care of patients with dyspnea, on knowledge and performance confidence of nursing students. The Journal of Korean Academic Society of Nursing Education, 18(1), 111-119. DOI : 10.5977/jkasne.2012.18.1.111   DOI
11 Victor-Chmil, J., & Larew, C. (2013). Psychometric properties of the Lasater clinical judgment rubric. International journal of nursing education scholarship, 10(1), 45-52. DOI : 10.1515/ijnes-2012-0030   DOI
12 Tanner, C. A. (2006). Thinking like a nurse: A research-based Model of clinical judgment in nursing. Journal of Nursing Education, 45(6), 204-211.
13 Lasater, K. (2011). Clinical judgment: The last frontier for evaluation. Nurse Education in Practice, 11(2), 86-92. DOI : 10.1016/j.nepr.2010.11.013   DOI
14 Gates, M. G., Parr, M. B., & Hughen, J. E. (2012). Enhancing nursing knowledge using high-fidelity simulation. Journal of Nursing Education, 51(1), 9-15. DOI : 10.3928/01484834-20111116-01   DOI
15 Choi, J. Y. (2011). Clinical Performance Examination for Nursing Students: 2006-2009. Journal of East-West Nursing Research, 17(2), 87-95.
16 Kim, J. M., & Choi, Y. S. (2015). Effect of practice education using the simulator, critical thinking, problem solving ability and nursing process confidence of nursing students. Journal of digital Convergence, 13(4), 263-270. DOI : 10.14400/JDC.2015.13.4.263   DOI
17 Blum, C. A., Borglund, S., & Parcells, D. (2010). High-fidelity nursing simulation: Impact on student self-confidence and clinical competence. International Journal of Nursing Education Scholarship, 7(1), 1-18. DOI : 10.2202/1548-923X.2035   DOI
18 E. J. Kim (2013). Development and effects of a simulation learning program for novice nurses in special dept. Doctoral dissertation. Chosun University, Gwangju.
19 Korean Accreditation Board of Nursing Education. (May 29, 2017). Certification Criteria and handbook. Retrieved from http://kabone.or.kr/kabon02/index03_02.ph.
20 Kim, Y. H., & Jang, K. S. (2011). Effect of a simulation-based education on cardio-pulmonary emergency care knowledge, clinical performance ability and problem solving process in new nurses. Journal of Korean Academy of Nursing, 41(2), 245-255. DOI : 10.4040/jkan.2011.41.2.245   DOI
21 Reilly, A., & Spratt, C. (2007). The perceptions of undergraduate student nurses of high-fidelity simulation-based learning: A case report from the University of Tasmania. Nurse Education Today, 27(6), 542-550. DOI : 10.1016/j.nedt.2006.08.015   DOI
22 Chae, H. J. (2015). The needs and effects of convergence-based simulation practice for obstetrical nursing. Journal of digital convergence, 13(9), 377-386. DOI : 10.14400/JDC.2015.13.9.377   DOI
23 Decker, S., Sportsman, S., Puetz, L., & Billing, L. (2008). The evolution of simulation and its contribution to competency. Journal of Continuing Education in Nursing, 39(2), 74-80. DOI : 10.3928/00220124-20080201-06   DOI
24 Ryoo, E. N., Ha, E. H., & Cho, J. Y. (2013). Comparison of learning effects using high-fidelity and multi-mode simulation: An application of emergency care for a patient with cardiac arrest. Journal of Korean Academy of Nursing, 43(2), 185-193. DOI : 10.4040/jkan.2013.43.185   DOI
25 Diefenbeck, C. A., Plowfield, L. A., & Herrman, J. W. (2006). Clinical immersion: A residency model for nursing education. Nursing Education Perspectives, 27(2), 72-79. ww.ncbi.nlm.nih.gov/pubmed/16733969
26 Kim, H. R. (2013). The Proposed Rubrics Simulation Education Effect on Nursing Student's Academic Achievement. The Journal of Korean Academic Society of Nursing Education, 19(4), 487-497. DOI : 10.5977/jkasne.2013.19.4.487   DOI
27 Davis, A. H., & Kimble, L. P. (2011). Human patient simulation evaluation rubrics for nursing education: Measuring the essentials of baccalaureate education for professional nursing practice. Journal of Nursing Education, 50(11), 605-611.   DOI
28 Johnson, E. A., Lasater, K., Hodson-Carlton, K., Siktberg, S., Sideras, S. & Dillard, N. (2012). Geriatrics in simulation: Role modeling and clinical judgment effect. Nursing Education Perspectives, 33(3), 176-180. DOI : 10.5480/1536-5026-33.3.176 .   DOI
29 Yang, J. J. (2008). Development and evaluation of a simulation-based education course for nursing students. Korean Journal of Adult Nursing, 20(4), 548-560.
30 Lasater, K. (2007). High-fidelity simulation and the development of clinical judgment: Student's experiences. The Journal of Nursing Education. 46(6), 269-276.
31 Hertel JP, Millis BJ. (2002). Using simulation to promote learning in higher education: on intruduction. Stylus Publishing, LLC.. www.oalib.com/references/14807409
32 Lee, W. S., & Kim, M. (2011). Effects and adequacy of high-fidelity simulation-based training for obstetrical nursing. Journal of Korean Academy of Nursing, 41(4), 433-443. DOI : 10.4040/jkan.2011.41.4.433   DOI
33 Choi, E. H., Kwon, K. N., & Lee, E. J. (2013). Achievements of nursing students among simulation and traditional education of bleeding patients. The Journal of Korean Academic Society of Nursing Education, 19(1), 52-59. DOI : 10.5977/jkasne.2013.19.1.52   DOI
34 Ha, Y. K., & Koh, C. K. (2012). The Effects of Mechanical Ventilation Simulation on the Clinical Judgment and Self-confidence of Nursing Students. Perspectives in Nursing Science, 9(2), 119-126.