DOI QR코드

DOI QR Code

Development and Effects of Simulation Educational Program for Nursing Students

간호대학생들을 위한 시뮬레이션 교육프로그램 개발 및 적용효과

  • 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)
  • Received : 2017.09.11
  • Accepted : 2018.02.20
  • Published : 2018.02.28

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.

본 연구는 간호대학생들을 대상으로 임상 시나리오를 적용한 고충실도 시뮬레이션을 진행하여 교육효과를 확인하고자 시도되었다. 비동등성 대조군 전후설계의 유사 실험 연구로 실험군 43명, 대조군 39명의 연구대상자에게 2013년 9월 26일부터 11월 9일까지 8주 동안 총 5회에 걸쳐 진행되었다. 실험군과 대조군에게 표준화 환자를 활용하여 임상수행능력을 측정하고, 임상판단력은 Lasater의 rubric으로 관찰을 통해 측정하였으며 설문지를 통해 비판적 사고성향을 측정하였다. 수집된 자료는 SPSS 20.0 프로그램을 이용하여 분석하였다. 분석결과는 시뮬레이션 교육프로그램을 적용한 실험군이 대조군보다 임상수행능력 점수(F=211.15, p<.001), 비판적 사고성향 점수(t=3.00, p<.004), 임상판단력 점수(t=7.61, p<.001) 모두 통계적으로 유의하게 높게 나타났다. 결론적으로 간호대학생들을 위한 시뮬레이션 교육프로그램 개발과 적용은 반복된 토의 및 술기 연습과 디브리핑 과정을 통해 임상수행능력, 비판적 사고성향과 임상판단력을 증진시키는데 유의미한 효과가 있었다.

Keywords

References

  1. Korean Accreditation Board of Nursing Education. (May 29, 2017). Certification Criteria and handbook. Retrieved from http://kabone.or.kr/kabon02/index03_02.ph.
  2. 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
  3. E. J. Kim (2013). Development and effects of a simulation learning program for novice nurses in special dept. Doctoral dissertation. Chosun University, Gwangju.
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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.
  10. Gark, G. H. (2013). Development and Application of Medication Error Preventive Simulation Education for Nursing Students. Doctoral dissertation. Cathlic University, Seoul.
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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.
  16. 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. https://doi.org/10.3928/01484834-20110715-01
  17. 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 .
  18. 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.
  19. Lasater, K. (2007). High-fidelity simulation and the development of clinical judgment: Student's experiences. The Journal of Nursing Education. 46(6), 269-276.
  20. 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
  21. Hertel JP, Millis BJ. (2002). Using simulation to promote learning in higher education: on intruduction. Stylus Publishing, LLC.. www.oalib.com/references/14807409
  22. 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
  23. 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
  24. 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.
  25. 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
  26. 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. https://doi.org/10.1111/j.1365-2648.2006.03810.x
  27. 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.
  28. Kyle, R. R., & Murray, W. B. (2008). Clinical simulation: Operation, Engineering and management. Academic Press: Boston.
  29. 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
  30. Choi, J. Y. (2011). Clinical Performance Examination for Nursing Students: 2006-2009. Journal of East-West Nursing Research, 17(2), 87-95.
  31. 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
  32. 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
  33. 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
  34. 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