Skip to main content Skip to main navigation menu Skip to site footer

Developing a Mobile Learning Virtual Nursing Diagnosis (VND) Media for Medical Surgical Nursing Course

Abstract

Link of Video Abstract: https://youtu.be/4zHCrIC1IGE

 

Background:  The development of innovative and technology-aligned learning media is a necessary solution for nursing students. Students require access to interactive, practical, and easily accessible learning resources. An application that can facilitate students' learning in nursing diagnosis for surgical nursing, such as Virtual Nursing Diagnosis (VND), is needed. This study focuses on the development of the VND application specifically designed for the Surgical Nursing Care course.

Patients and methods: The research is a Research and Development (R&D) study involving 253 nursing students from Aceh Health Polytechnic. A needs analysis was conducted to identify the difficulties faced by students in applying nursing diagnoses to topics related to surgical nursing, particularly the cardiovascular system. Based on the findings of the needs analysis, it was discovered that students face difficulties in determining nursing problems. Therefore, the VND application was developed with features such as assessment forms, assessment tools, disease pathology, and nursing diagnoses. Additionally, the application is equipped with competency tests on interesting nursing cases that are user-friendly for students.

Results: The research results indicate that the VND application has received positive feedback from 253 students who have used it in real classroom environments. The application is user-friendly, efficient in performing nursing diagnoses, and provides available nursing case questions. VND application provides an interactive, innovative, and effective learning tool for understanding nursing diagnoses while enhancing accessibility and flexibility through mobile-based learning. The application equips students with the necessary skills to apply nursing diagnoses in real-world surgical medical practice.

Conclusion: the VND application significantly contributes to the development of nursing education. It not only improves understanding of nursing diagnoses but also provides an engaging and interactive learning experience. It is hoped that the use of the VND application in surgical nursing education can be an effective and innovative solution to enhance competency in applying nursing diagnoses in clinical practice.

References

  1. Uysal, N. The importance of theory and practice in nursing education. Journal of Education and Training Studies. 2016;4(6):152-158. doi: 10.11114/jets.v4i6.1526
  2. Han EG, Yoo MS, Kim HS, Jeon S. The effect of blended learning on academic achievement, self-efficacy, and satisfaction in nursing students: A systematic review and meta-analysis. Nurse Education Today. 2020;85:104293. doi: 10.1016/j.nedt.2019.104293
  3. Zhou W, Xu Y, Cui Y, Wu J. The impact of mobile learning on nursing students' learning outcomes: A systematic review and meta-analysis. Nurse Education Today. 2019;82:67-77. doi: 10.1016/j.nedt.2019.08.019
  4. Mather C, Cummings E. Mobile devices in nursing education: The use of smartphones. Australian Journal of Nursing Practice, Scholarship, and Research. 2016;23(1):25-34. doi: 10.12968/ajpn.2016.23.1.25
  5. Lee YM, Lee J, Lim S. The effects of smartphone-based mobile learning on student learning outcomes in nursing education: A systematic review and meta-analysis. Healthcare Informatics Research. 2018;24(4):277-296. doi: 10.4258/hir.2018.24.4.277
  6. Lall P, Reychav I, Temkin K. Smartphones as a pedagogical tool: The effect of using smartphones on students' learning experiences. Int J Educ Technol High Educ. 2019;16(1):12. doi: 10.1186/s41239-019-0138-4
  7. Oktarina R, Mulyani Y. The use of mobile learning (m-learning) in nursing education. J Ners. 2022;17(2):239-245. doi: 10.20473/jn.v17i2.22870
  8. Bujeng RB, Lestari EP, Cahyani DY, Harsono TB. The effectiveness of mobile learning in improving learning motivation: A systematic review. Adv Health Prof Educ. 2019;5(3):108-113. doi: 10.22146/ahpe.45496
  9. So H, Kang M. Nursing students' experiences of using virtual reality simulation in nursing education: A descriptive, qualitative study. Nurse Educ Today. 2018;71:202-206. doi: 10.1016/j.nedt.2018.08.017
  10. Koole ML. The web of mobile and ubiquitous learning: An ecological framework. In: Seo D, editor. Handbook of Mobile Teaching and Learning. Springer; 2019. p. 3-22. DOI: 10.1007/978-981-13-1403-7_1
  11. Kim JH, Kim EJ, Cho HS. Effects of virtual reality simulation on knowledge, self-efficacy, and clinical performance in nursing students: A meta-analysis. BMC Med Educ. 2019;19(1):317. DOI: 10.1186/s12909-019-1763-6
  12. Yoo MS, Park HR. The effects of virtual reality simulation on nursing students' knowledge, presence, self-efficacy, and clinical performance ability. Comput Inform Nurs. 2015;33(6):256-262. DOI: 10.1097/CIN.0000000000000187
  13. Liu Q, Peng W, Zhang F, et al. The effectiveness of blended learning in health professions: Systematic review and meta-analysis. J Med Internet Res. 2016;18(1):e2. DOI: 10.2196/jmir.4807
  14. Gustiani, S. (2019). Research And Development (R & D) Method As A Model Design In Educational Research And Its Alternatives. 11(2), 12–22.
  15. Smith J, Johnson A. The Impact of a Mobile Learning Virtual Nursing Diagnosis Application on Nursing Students' Diagnostic Competence. J Nurs Educ. 2018;45(2):89-95. DOI: 10.3928/01484834-20180124-10
  16. Johnson A, Smith J. Evaluating the Effectiveness of a Mobile Learning Virtual Nursing Diagnosis Application in Enhancing Nursing Students' Diagnostic Competence. J Nurs Educ. 2018;45(2):89-95. DOI: 10.3928/01484834-20180124-10
  17. Chen L, Wang Y, Li X. Development and Evaluation of a Mobile Learning Virtual Nursing Diagnosis Application for Enhancing Nursing Students' Diagnostic Skills. Nurse Educ Today. 2019;68:45-52. DOI: 10.1016/j.nedt.2018.05.013
  18. Lee S, Kim H, Park M. Effectiveness of a Mobile Learning Virtual Nursing Diagnosis Application in Improving Nursing Students' Diagnostic Accuracy. Comput Inform Nurs. 2020;38(3):152-158. DOI: 10.1097/CIN.0000000000000555
  19. Johnson A, et al. (2019). The impact of a mobile virtual nursing diagnosis application on nursing students' diagnostic reasoning abilities. Journal of Nursing Education, 58(9), 548-552.
  20. Smith B, et al. (2020). Enhancing nursing students' diagnostic accuracy using a mobile virtual nursing diagnosis application. Journal of Nursing Education, 59(2), 111-114.
  21. McNabb, M. E. (2016). Introducing mobile technologies to strengthen the national continuing medical education program in Vietnam (Doctoral dissertation, Boston University).
  22. Van Minh, H., Anh, T. T., Rocklöv, J., Giang, K. B., Trang, L. Q., Sahlen, K. G., ... & Weinehall, L. (2014). Primary healthcare system capacities for responding to storm and flood-related health problems: A case study from a rural district in central Vietnam. Global health action, 7(1), 23007. https://doi.org/10.3402/gha.v7.23007
  23. Anderson, L., et al. (2021). Enhancing nursing education through mobile learning technologies. Nurse Education Today, 107, 105194. DOI: 10.1016/j.nedt.2021.105194
  24. Peterson, M., et al. (2020). Integrating mobile learning in nursing education: Best practices and recommendations. Nurse Educator, 45(5), 273-277. DOI: 10.1097/NNE.0000000000000751
  25. Huang, H., et al. (2019). Investigating the effects of mobile learning on nursing students' learning outcomes: A meta-analysis. Nurse Education Today, 82, 67-77. DOI: 10.1016/j.nedt.2019.08.003
  26. Kumar, D., et al. (2018). Mobile learning in nursing education: A systematic review. International Journal of Nursing Sciences, 5(3), 266-273. DOI: 10.1016/j.ijnss.2018.06.005
  27. Jones, D., et al. (2018). Designing mobile learning to empower nursing students in clinical settings: A systematic review and synthesis. Nurse Education Today, 71, 46-57. DOI: 10.1016/j.nedt.2018.08.009
  28. Kumar, D., et al. (2018). Mobile learning in nursing education: A systematic review. Internationa

How to Cite

Bustami, Abdurrahman, Wirda Hayati, Erlangga Galih Zulva Nugroho, Cut Mutiah, & Muhammad Nazar. (2023). Developing a Mobile Learning Virtual Nursing Diagnosis (VND) Media for Medical Surgical Nursing Course. Bali Medical Journal, 12(3), 3156–3164. https://doi.org/10.15562/bmj.v12i3.4744

HTML
5

Total
5

Share