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All Journal JKG (Jurnal Keperawatan Global) Jurnal Berita Ilmu Keperawatan
Yunanto, Rismawan
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Health Professions Nursing Public Health

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Augmented Reality Enhances Indonesian Nursing Students’ Knowledge and Motivation in Open Fracture Learning Yunanto, Rismawan; Setioputro, Baskoro; Haristiani, Ruris; Safira, Nur
JKG (JURNAL KEPERAWATAN GLOBAL) (JKG) Jurnal Keperawatan Global Volume 10 Number 2 Year 2025
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37341/jkg.v10i2.1169

Abstract

Background: Open fracture cases have complex management that involves bleeding control based on comprehensive knowledge and training. Augmented Reality (AR) offers an interactive learning approach that may enhance nursing students' motivation and knowledge of emergency open fracture cases. This study aims to evaluate the effectiveness of augmented reality in improving the knowledge and learning motivation of Indonesian nursing students regarding open fracture learning. Methods: This study used a cluster randomized pretest–posttest control group design involving four class groups of nursing students (n = 155). Two clusters received the Open Fracture Augmented Reality Application, while two received conventional lectures. Motivation was measured using the validated MSLQ, and knowledge using a 29-item validated questionnaire. Both groups completed pretest and posttest assessments. Data were analyzed using descriptive statistics, Wilcoxon, and Mann–Whitney tests (α = 0.05). Results: A total of 155 nursing students participated, with balanced baseline characteristics between groups. The AR intervention significantly improved knowledge (p = 0.001, r = 0.38) and motivation (p = 0.022, r = 0.27) in the intervention group, while no significant gains occurred in the control group. Between-group analysis showed higher posttest knowledge in the AR group (p = 0.005), indicating that AR was more effective than conventional instruction, particularly for cognitive outcomes. Conclusion: Augmented Reality–based learning significantly improves nursing students’ knowledge of open-fracture management compared with traditional methods, while showing no significant between-group differences in motivation, highlighting AR’s value as an effective supplemental tool for enhancing understanding of complex clinical content.
Predicting Mortality and ICU Admission in Trauma: An Emergency Nursing Comparison of NEWS, RTS, and MREMS Yunanto, Rismawan; Maysaroh, Salma; Setioputro, Baskoro; Haristiani, Ruris; 'Ala, Muhamad Zulfatul
Jurnal Berita Ilmu Keperawatan Vol. 19 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bik.v19i1.13037

Abstract

Trauma is a global health problem, which is a serious issue, claiming around 8% of all lives lost. Proper treatment is crucial, and accurate assessment is key. Coming hotfooting out of nowhere or being involved in a sudden accident are two of the most common causes.  Many methods have been established for the determination of trauma and for the guidance of treatment. This study attempted to compare the performance of NEWS, MREMS, and RTS in predicting death and ICU admission among trauma patients in Indonesia. This cross-sectional design analyzed 90 trauma patients admitted to the hospital in 2024. Patients aged ≥ 16 years with complete medical records were included. The instruments used to predict mortality and ICU admission were NEWS (National Early Warning Score), RTS (Revised Trauma Score), and MREMS. The analysis was conducted by comparing the predictive performance using AUCROC with the optimal threshold value by the Youden index. The Odds Ratio (OR) value was also determined. The analysis of this study was conducted using SPSS version 29. Interpretation results with p < 0.05 were considered significant. The results of this study analysis showed that the three scoring systems (NEWS, RTS, and MREMS) had excellent discriminatory ability to predict mortality (AUCROC ≥ 0.95, p < 0.001), with NEWS achieving the highest performance (AUCROC 0.979, sensitivity 0.966, specificity 0.883) compared to other instruments. In the ICU admission variable, the predictive performance results were lower, but NEWS still had a better value (AUCROC 0.816) compared to the others. This analysis concludes that the three instruments have acceptable discriminative power. NEWS is a superior instrument, as evidenced by better descriptive results for sensitivity and specificity in predicting trauma mortality and ICU admission. This finding further validates the usability of NEWS as an effective triage tool for predicting early risk of mortality and ICU admission in trauma patients.
Co-Authors Baskoro Setioputro Maysaroh, Salma Muhamad Zulfatul A’la Ruris Haristiani Safira, Nur