Child Health Nursing Research

Korean Academy of Child Health Nursing (한국아동간호학회)
권호 표지
DOI QR코드

DOI QR Code

A systematic review and meta-analysis of studies on extended reality-based pediatric nursing simulation program development

  • Kim, Eun Joo (Department of Nursing, Gangneung-Wonju National University) ;
  • Lim, Ji Young (Department of Nursing, Inha University) ;
  • Kim, Geun Myun (Department of Nursing, Gangneung-Wonju National University)
  • Received : 2022.11.17
  • Accepted : 2023.01.04
  • Published : 2023.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: This systematic literature review and meta-analysis explored extended reality (XR)-based pediatric nursing simulation programs and analyzed their effectiveness. Methods: A literature search was conducted between May 1 and 30, 2022 in the following electronic databases: MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and CINAHL. The search period was from 2000 to 2022. In total, 6,095 articles were reviewed according to the inclusion and exclusion criteria, and 14 articles were selected for the final content analysis and 10 for the meta-analysis. Data analysis was performed using descriptive statistics and the Comprehensive Meta-Analysis program. Results: XR-based pediatric nursing simulation programs have increased since 2019. Studies using virtual reality with manikins or high-fidelity simulators were the most common, with six studies. The total effect size was statistically significant at 0.84 (95% confidence interval=0.50-1.19, z=4.82, p<.001). Conclusion: Based on the findings, we suggest developing standardized guidelines for the operation of virtual pediatric nursing simulation education and practice. Simultaneously, the application of more sophisticated research designs for effect measurement and the combined applications of various virtual simulation methods are needed to validate the most effective simulation methodology.

Keywords

Acknowledgement

This study was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (No. NRF- 2021R1A2C1095530).

References

  1. Kim S, Cho Y. Proliferation of online learning and the implications for teaching and learning in future university education. Journal of Lifelong Learning Society. 2018;14(4):51-78. https://doi.org/10.26857/JLLS.2018.11.14.4.51
  2. Lee Y, Park Y, Yoon J. Exploring the "types" through case analysis on operation of distance education in universities responding to COVID-19. The Journal of Yeolin Education. 2020;28(3):211-234. https://doi.org/10.18230/tjye.2020.28.3.211
  3. Han S, Noh Y. Analyzing higher education instructors' perception on metaverse- based education. Journal of Digital Contents Society. 2021;22(11):1793-1806. https://doi.org/10.9728/dcs.2021.22.11.1793
  4. Lee YH, O SJ. XR service for non-face-to-face experiment training. Korea Information Processing Society Review. 2021;28(1):69-77.
  5. Seo JH, Jeong JP, Choi EJ. The effects of smart learning on the academic performance of pediatric nursing education. The Journal of the Korea Contents Association. 2016;16(11):784-795. https://doi.org/10.5392/JKCA.2016.16.11.784
  6. Statistics Korea. Number of births and total fertility rate in 2021 [Internet]. Daejeon: Statistics Korea; 2022 [cited 2022 October 19]. Available from: https://www.index.go.kr/unity/potal/main/EachDtlPageDetail.do?idx_cd=1428
  7. Kim JH, Park IH, Shin S. Systematic review of Korean studies on simulation within nursing education. Journal of Korean Academic Society of Nursing Education. 2013;19(3):307-319. https://doi.org/10.5977/jkasne.2013.19.3.307
  8. Weaver A. High-fidelity patient simulation in nursing education: an integrative review. Nursing Education Perspectives. 2011;32(1):37-40. https://doi.org/10.5480/1536-5026-32.1.37
  9. Ha YK. Systematic review of assessment of learner's flow in simulation education. Journal of Learner-Centered Curriculum and Instruction. 2019;19(22):1413-1430. https://doi.org/10.22251/jlcci.2019.19.22.1413
  10. Lee CM, So HS, Kim Y, Kim JE, An M. The effects of high fidelity simulation-based education on clinical competence and confidence in nursing students: a systematic review. The Journal of the Korea Contents Association. 2014;14(10):850-861. https://doi.org/10.5392/JKCA.2014.14.10.850
  11. Kim M, Kim S, Lee WS. Effects of a virtual reality simulation and a blended simulation of care for pediatric patient with asthma. Child Health Nursing Research. 2019;25(4):496-506. https://doi.org/10.4094/chnr.2019.25.4.496
  12. Kim HD, Joo AR. The study of promoting method for VR contents to reduce pain of child patient - focusing on the case studies of VR contents at home and abroad. The Journal of the Korea Contents Association. 2020;20(6):167-176. https://doi.org/10.5392/JKCA.2020.20.06.167
  13. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Systematic Reviews. 2021;10(1):89. https://doi.org/10.1186/s13643-021-01626-4
  14. Higgins JP, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. Journal of the Royal Statistical Society. Series A, (Statistics in Society). 2009;172(1):137-159. https://doi.org/10.1111/j.1467-985X.2008.00552.x
  15. Duval S, Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56(2):455-463. https://doi.org/10.1111/j.0006-341x.2000.00455.x
  16. Diaz DA, Anderson M, Hill PP, Quelly SB, Clark K, Lynn M. Comparison of clinical options: high-fidelity manikin-based and virtual simulation. Nurse Educator. 2021;46(3):149-153. https://doi.org/10.1097/NNE.0000000000000906
  17. Farre A, Cummins C. Understanding and evaluating the effects of implementing an electronic paediatric prescribing system on care provision and hospital work in paediatric hospital ward settings: a qualitatively driven mixed-method study protocol. BMJ Open. 2016;6(2):e010444. https://doi.org/10.1136/bmjopen-2015-010444
  18. Goldsworthy S, Patterson JD, Dobbs M, Afzal A, Deboer S. How does simulation impact building competency and confidence in recognition and response to the adult and paediatric deteriorating patient among undergraduate nursing students? Clinical Simulation in Nursing. 2019;28:25-32. https://doi.org/10.1016/j.ecns.2018.12.001
  19. Kang KA, Kim SJ, Lee MN, Kim M, Kim S. Comparison of learning effects of virtual reality simulation on nursing students caring for children with asthma. International Journal of Environmental Re-search and Public Health. 2020;17(22):8417. https://doi.org/10.3390/ijerph17228417
  20. Peterson E, Porter M, Calhoun A. Mixed-reality simulation for a pediatric transport team: a pilot study. Air Medical Journal. 2020;39(3):173-177. https://doi.org/10.1016/j.amj.2020.03.001
  21. Ng SC, Lee LK, Lui AKF, Wong KF, Chan WY, Tam HH. Using immersive reality in training nursing students. International Journal of Innovation and Learning. 2020;27(3):324-343. https://doi.org/10.1504/IJIL.2020.10028288
  22. Yu M, Yang MR. Effectiveness and utility of virtual reality infection control simulation for children with COVID-19: quasi-experimental study. JMIR Serious Games. 2022;10(2):e36707. https://doi.org/10.2196/36707
  23. Kim S, Kim MJ. Effect of learner-centered virtual reality simulation education. Journal of Digital Convergence. 2022;209(4):705-713. https://doi.org/10.14400/JDC.2022.20.4.705
  24. Rim D, Shin H. Effective instructional design template for virtual simulations in nursing education. Nurse Education Today. 2021;96:104624. https://doi.org/10.1016/j.nedt.2020.104624
  25. Kotcherlakota S, Pelish P, Hoffman K, Kupzyk K, Rejda P. Augmented reality technology as a teaching strategy for learning pediatric asthma management: mixed methods study. JMIR Nursing. 2020;3(1):e23963. https://doi.org/10.2196/23963
  26. Putnam EM, Rochlen LR, Alderink E, Auge J, Popov V, Levine R, et al. Virtual reality simulation for critical pediatric airway management training. Journal of Clinical and Translational Research. 2021;7(1):93-99.
  27. Reed DJW, Hermelin RL, Kennedy CS, Sharma J. Interdisciplinary onsite team-based simulation training in the neonatal intensive care unit: a pilot report. Journal of Perinatology. 2017;37(4):461-464. https://doi.org/10.1038/jp.2016.238
  28. Yu M, Yang M, Ku B, Mann JS. Effects of virtual reality simulation program regarding high-risk neonatal infection control on nursing students. Asian Nursing Research. 2021;15(3):189-196. https://doi.org/10.1016/j.anr.2021.03.002
  29. Yu M, Mann JS. Development of virtual reality simulation program for high-risk neonatal infection control education. Clinical Simulation in Nursing. 2021;50:19-26. https://doi.org/10.1016/j.ecns.2020.10.006
  30. Kim JH, Kim AK. A quality assessment of meta-analyses of nursing in South Korea. Journal of Korean Academy of Nursing. 2013; 43(6):736-745. https://doi.org/10.4040/jkan.2013.43.6.736