Volume 13, Issue 1 (2025)
Health Educ Health Promot 2025, 13(1): 89-94 |
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Ningsih E, Negara C, Septiany M, Firdausi R. Effect of Virtual Reality-based Health Education on the Prevention of Gestational Diabetes Mellitus in Pregnant Women in the First Trimester. Health Educ Health Promot 2025; 13 (1) :89-94
URL: http://hehp.modares.ac.ir/article-5-79247-en.html
URL: http://hehp.modares.ac.ir/article-5-79247-en.html
1- Department of Nursing, Poltekes Kemenkes, Health Polytechnic, Banjarmasin, Indonesia
2- Department of Medical-Surgical in Nursing, University of Lambung Mangkurat, Banjarmasin, Indonesia
2- Department of Medical-Surgical in Nursing, University of Lambung Mangkurat, Banjarmasin, Indonesia
Abstract: (398 Views)
Aims: This study investigated the impact of virtual reality-based health education on preventing gestational diabetes mellitus among first-trimester pregnant women in South Kalimantan, Indonesia.
Materials & Methods: This pre-experimental study, using a one-group pre-post-test design, was conducted on 120 respondents who were selected through accidental sampling. Participants completed a structured questionnaire to assess their knowledge of gestational diabetes mellitus prevention. The questionnaire underwent a validation process involving expert reviews and a pilot test with 30 participants, resulting in a content validity index of 0.85, indicating strong agreement among experts. Data analysis was performed using SPSS 21 software, employing the Wilcoxon signed-rank test at a significance level of α=0.05.
Findings: There was a significant improvement in knowledge levels post-intervention. The mean knowledge score increased from 13.75±3.2 before the intervention to 18.20±2.9 after the intervention, reflecting a percentage increase of 49.6%. The Wilcoxon test result (p=0.0001) and the effect size of 1.56, indicated a large effect of virtual reality-based health education on improving knowledge about gestational diabetes mellitus prevention among participants.
Conclusion: Virtual reality-based health education effectively increases pregnant women’s knowledge about preventing GDM.
Materials & Methods: This pre-experimental study, using a one-group pre-post-test design, was conducted on 120 respondents who were selected through accidental sampling. Participants completed a structured questionnaire to assess their knowledge of gestational diabetes mellitus prevention. The questionnaire underwent a validation process involving expert reviews and a pilot test with 30 participants, resulting in a content validity index of 0.85, indicating strong agreement among experts. Data analysis was performed using SPSS 21 software, employing the Wilcoxon signed-rank test at a significance level of α=0.05.
Findings: There was a significant improvement in knowledge levels post-intervention. The mean knowledge score increased from 13.75±3.2 before the intervention to 18.20±2.9 after the intervention, reflecting a percentage increase of 49.6%. The Wilcoxon test result (p=0.0001) and the effect size of 1.56, indicated a large effect of virtual reality-based health education on improving knowledge about gestational diabetes mellitus prevention among participants.
Conclusion: Virtual reality-based health education effectively increases pregnant women’s knowledge about preventing GDM.
Article Type: Original Research |
Subject:
Health Media
Received: 2025/01/30 | Accepted: 2025/02/5 | Published: 2025/02/10
Received: 2025/01/30 | Accepted: 2025/02/5 | Published: 2025/02/10
* Corresponding Author Address: Department of Medical Surgical in Nursing, University of Lambung Mangkurat, A.Yani Street, Banjarbaru, Indonesia. Postal Code: 73702 (candra.negara@ulm.ac.id)
References
1. Kim SH, Kim HJ, Shin G. Self-management mobile virtual reality program for women with gestational diabetes. Int J Environ Res Public Health. 2021;18(4):1539.. [Link] [DOI:10.3390/ijerph18041539]
2. Ningsih ES, Septiany M, Firdausi R, Negara CK. The influence of VR-based health education (virtual reality) on the prevention of gestational diabetes mellitus (GDM) in pregnant women in the first trimester. Health Educ Health Promot. 2025;13(1):1001-18. [Link]
3. Xu N, Chen S, Liu Y, Jing Y, Gu P. The effects of virtual reality in maternal delivery: systematic review and meta-analysis. JMIR Serious Games. 2022;10(4):e36695. [Link] [DOI:10.2196/36695]
4. Hajesmaeel-Gohari S, Sarpourian F, Shafiei E. Virtual reality applications to assist pregnant women: a scoping review. BMC Pregnancy Childbirth. 2021;21:1-8. [Link] [DOI:10.1186/s12884-021-03725-5]
5. Mohammadi P, Bahaadinbeigy K, Sarabi RE, Moulaei K, Mirzai M, Khalilabadi SM, et al. Can virtual reality technology reduce anxiety before a cesarean section in primigravida women?. Health Sci Rep. 2025;8(3):e70523.. [Link] [DOI:10.1002/hsr2.70523]
6. Lee B, Lim HJ, Park J, Kim K, Suh H, Lee BD, et al. Efficacy of virtual reality program for mental health promotion in pregnant women. Clin Psychopharmacol Neurosci. 2024;23(1):32. [Link] [DOI:10.9758/cpn.23.1127]
7. Yim YR, Hur MH. Effects of virtual reality program on glycated hemoglobin, static and dynamic balancing ability, and falls efficacy for diabetic patients: A systematic review and meta-analysis. J Korea Acad Fundam Nurs. 2023;30(2):155-67. [Link] [DOI:10.7739/jkafn.2022.30.2.155]
8. García-López FJ, Pastora-Bernal JM, Moreno-Morales N, Estebanez-Pérez MJ, Liñán-González A, Martín-Valero R. Virtual reality to improve low-back pain and pelvic pain during pregnancy: a pilot RCT for a multicenter randomized controlled trial. Front Med. 2023;10:1206799. [Link] [DOI:10.3389/fmed.2023.1206799]
9. Ma X, Fan L, Fakher A, Li Y, Mao J, Yang M, et al. Shrub Encroachment: A Catalyst for Enhanced Soil Nutrients Storage in the Altai Mountains. Plants. 2025;14(4):623. [Link] [DOI:10.3390/plants14040623]
10. Potzel AL, Gar C, Banning F, Sacco V, Fritsche A, Fritsche L, et al. A novel smartphone app to change risk behaviors of women after gestational diabetes: a randomized controlled trial. Plos One. 2022;17(4):e0267258.. [Link] [DOI:10.1371/journal.pone.0267258]
11. Lin X, Yang T, Zhang X, Wei W. Lifestyle intervention to prevent gestational diabetes mellitus and adverse maternal outcomes among pregnant women at high risk for gestational diabetes mellitus. J Int Med Res. 2020;48(12):0300060520979130. [Link] [DOI:10.1177/0300060520979130]
12. Sushko K, Menezes HT, Strachan P, Butt M, Sherifali D. Self-management education among women with pre-existing diabetes in pregnancy: A scoping review. Int J Nurs Stud. 2021;117:103883. [Link] [DOI:10.1016/j.ijnurstu.2021.103883]
13. Quigley F, Moorhead A, Bond RR, McAloon T, Zheng H. Training Needs Analysis: A VR training tool to improve weight‐related communication across healthcare settings. In International Conference for Communication in Healthcare-Proceedings 2020;37. [Link] [DOI:10.1145/3335082.3335121]
14. Ibrahim Z, Caldeira C, Chung CF. Supporting Experiential Learning in People with Gestational Diabetes Mellitus. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems 2024;1-16. [Link] [DOI:10.1145/3613904.3642674]
15. Phelan S, Jelalian E, Coustan D, Caughey AB, Castorino K, Hagobian T, et al. Protocol for a randomized controlled trial of pre-pregnancy lifestyle intervention to reduce recurrence of gestational diabetes: Gestational Diabetes Prevention. Trials. 2021;22:1-20. [Link] [DOI:10.1186/s13063-021-05204-w]
16. Mulyani EY, Jus' at I, Sumaedi S. The effect of Augmented-Reality media-based health education on healthy lifestyle knowledge, attitude, and healthy lifestyle behaviors among pregnant women during COVID-19 pandemic in Jakarta, Indonesia. Digit Health. 2023;9:20552076231167255. [Link] [DOI:10.1177/20552076231167255]
17. Ekezie W, Dallosso H, Saravanan P, Khunti K, Hadjiconstantinou M. Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes. BMC Health Serv Res. 2021;21:1-0. [Link] [DOI:10.1186/s12913-021-06791-9]
18. Mitchell SE, Bragg A, De La Cruz BA, Winter MR, Reichert MJ, Laird LD, et al. Effectiveness of an immersive telemedicine platform for delivering diabetes medical group visits for African American, Black and Hispanic, or Latina women with uncontrolled diabetes: the women in control 2.0 noninferiority randomized clinical trial. J Med Internet Res. 2023;25:e43669. [Link] [DOI:10.2196/43669]
19. Ahn JA, Kim EM, Lee JE, Kim KA. Diabetes Education Program for Nursing Students: A Systematic Review and Meta‐Analysis. Nurs Open. 2024;11(12):e70105. [Link] [DOI:10.1002/nop2.70105]
20. Guo JL, Hsu HP, Lai TM, Lin ML, Chung CM, Huang CM. Acceptability evaluation of the use of virtual reality games in smoking-prevention education for high school students: Prospective observational study. J Med Internet Res. 2021;23(9):e28037. [Link] [DOI:10.2196/28037]
21. Urlings J, Sezer S, Ter Laan M, Bartels R, Maal T, Boogaarts J, et al. The role and effectiveness of augmented reality in patient education: a systematic review of the literature. Patient Educ Counsel. 2022;105(7):1917-27. [Link] [DOI:10.1016/j.pec.2022.03.005]
22. Liu P, Yang Z, Huang J, Wang TK. The effect of augmented reality applied to learning process with different learning styles in structural engineering education. Engin, Construct Architect Manag. 2024. [Link] [DOI:10.1108/ECAM-06-2023-0596]
23. Rutkowska A, Salvalaggio S, Rutkowski S, Turolla A. Use of virtual reality-based therapy in patients with urinary incontinence: a systematic review with meta-analysis. Int J Environ Res Public Health. 2022;19(10):6155. [Link] [DOI:10.3390/ijerph19106155]
24. Chen L, Zhang H, Liu Y. Effects of VR-based interventions on self-management and lifestyle changes in gestational diabetes: A randomized controlled trial. Health Inform J. 2022;28(1):100-8. [Link]
25. Monalisa NT, Himi ST, Sultana N, Jahan M, Ferdous N, Islam ME, et al. Dia-Glass: a calorie-calculating spectacles for diabetic patients using augmented reality and faster R-CNN. InDeep Learning in Personalized Healthcare and Decision Support 2023;49-67. [Link] [DOI:10.1016/B978-0-443-19413-9.00015-1]
26. Kılıç S, Dereli Yılmaz S. Virtual Reality Headset Simulating a Nature Environment to Improve Health Outcomes in Pregnant Women: A Randomized-Controlled Trial. Clin Nurs Res. 2023;32(8):1104-14. [Link] [DOI:10.1177/10547738231184923]
27. Salamanca-Sanabria A, Liew SJ, Mair J, De Iorio M, Ling YD, Tint MT, et al. A holistic lifestyle mobile health intervention for the prevention of type 2 diabetes and common mental disorders in Asian women with a history of gestational diabetes: a randomised control trial with 3-year follow-up protocol. Trials. 2024;25(1):443. [Link] [DOI:10.1186/s13063-024-08247-x]
28. Negara CK, Sukartini T, Setiya DY, Nursalam N. Effectiveness of diabetes self-management education on non-ulcer diabetic foot incidents. Health Educ Health Promot. 2024;12(1):53-8. [Link]
29. Negara CK, Sukartini T, Dewi YS, Nursalam N, Yunara Y. Effect of animation and augmented reality on knowledge, attitude, and behavior toward non-ulcer foot care in patients with type 2 diabetes. Health Educ Health Promot. 2024;12(3):399-405. [Link]
30. Li F, Wei J, Lin T. The effects of virtual reality on health knowledge and behaviour in gestational diabetes mellitus prevention: A randomized controlled trial. Int J Med Inform. 2022;158:104614. [Link]
31. Sezer NY, Aker MN, Yücel A, Çalışıcı D. The effect of virtual reality and music on anxiety, non-stress test parameters, and satisfaction of high-risk pregnant women undergoing non-stress tests: Randomized controlled trial. Eur J Obstet Gynecol Reproduct Biol. 2024;296:52-8. [Link] [DOI:10.1016/j.ejogrb.2024.02.038]
32. Lee KN, Kim HJ, Choe K, Cho A, Kim B, Seo J, et al. Effects of Fetal Images Produced in Virtual Reality on Maternal-Fetal Attachment: Randomized Controlled Trial. J Med Internet Res. 2023;25(1):e43634. [Link] [DOI:10.2196/43634]
33. Ghosal S, Stanmore E, Sturt J, Bogosian A, Woodcock D, Zhang M, et al. Using Artificial Intelligence-informed Experience-Based Co-Design (AI-EBCD) to create a virtual reality-based mindfulness application to reduce diabetes distress: protocol for a mixed-methods feasibility study. BMJ Open. 2024;14(11):e088576. [Link] [DOI:10.1136/bmjopen-2024-088576]
34. Brook J, Aitken LM, MacLaren JA, Salmon D. An intervention to decrease burnout and increase retention of early career nurses: a mixed methods study of acceptability and feasibility. BMC Nurs. 2021;20:1-2. [Link] [DOI:10.1186/s12912-020-00524-9]
35. Zakaria H, Abusanana S, Mussa BM, Al Dhaheri AS, Stojanovska L, Mohamad MN, et al. The role of lifestyle interventions in the prevention and treatment of gestational diabetes mellitus. Medicina. 2023;59(2):287.. [Link] [DOI:10.3390/medicina59020287]
36. Teh K, Quek IP, Tang WE. Postpartum dietary and physical activity-related beliefs and behaviors among women with recent gestational diabetes mellitus: a qualitative study from Singapore. BMC Pregnancy Childbirth. 2021;21:1-2. [Link] [DOI:10.1186/s12884-021-04089-6]
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