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"Geun Myun Kim"

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"Geun Myun Kim"

Original Article

Development of an artificial intelligence-based nursing simulation scenario evaluation tool: a methodological study using the Real-Time Delphi method in South Korea
Eun Joo Kim, Bitna Park, Geun Myun Kim, Ji Young Lim, Seong Kwang Kim
Child Health Nurs Res 2025;31(4):257-271.   Published online October 31, 2025
DOI: https://doi.org/10.4094/chnr.2025.022
Purpose
Simulation-based education plays a critical role in nursing by allowing students to acquire clinical competencies in a safe and controlled environment. However, current evaluation tools for simulation scenarios often lack standardization, resulting in inconsistencies when assessing the effectiveness of such programs.
Methods
This study aimed to develop a comprehensive Nursing Simulation Scenario Evaluation Tool using the Real-Time Delphi method. A panel of 10 experts in nursing and simulation education participated in two rounds of surveys. The evaluation criteria were derived from the International Nursing Association for Clinical Simulation and Learning Standards of Best Practice and relevant literature. Survey items were refined through expert consensus using content validity ratios and coefficient of variation values. The finalized tool was further enhanced with artificial intelligence (AI)–based evaluation capabilities to support objective and systematic assessment. The tool was registered and patented in the Republic of Korea (Korean Intellectual Property Office Registration No. 10-2024-0051234) to acknowledge its innovation and technical merit.
Results
The process resulted in an evaluation tool comprising eight key domains and 36 items, covering scenario structure, learning objectives, preparation, script development, debriefing, facilitation, expected outcomes, and scenario validity. A Kendall’s coefficient of concordance of 0.739 indicated strong agreement among the experts.
Conclusion
This study successfully developed a standardized and validated tool to improve the reliability and effectiveness of simulation-based education in nursing. The tool addresses a key gap in current educational practices and enhances consistency in evaluating nursing simulation scenarios. Future studies should focus on validating its application across diverse educational environments.
  • 732 View
  • 45 Download

Review Article

A systematic review and meta-analysis of studies on extended reality-based pediatric nursing simulation program development
Eun Joo Kim, Ji Young Lim, Geun Myun Kim
Child Health Nurs Res 2023;29(1):24-36.   Published online January 31, 2023
DOI: https://doi.org/10.4094/chnr.2023.29.1.24
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.

Citations

Citations to this article as recorded by  
  • Extended reality technologies in child health education for undergraduate healthcare students: A scoping review
    Emma Collins, Chris Paton, Steve Gallagher
    Nurse Education in Practice.2026; 90: 104627.     CrossRef
  • Identifying Research Priorities in Digital Education for Health Care: Umbrella Review and Modified Delphi Method Study
    Alison Potter, Chris Munsch, Elaine Watson, Emily Hopkins, Sofia Kitromili, Iain Cameron O'Neill, Judy Larbie, Essi Niittymaki, Catriona Ramsay, Joshua Burke, Neil Ralph
    Journal of Medical Internet Research.2025; 27: e66157.     CrossRef
  • Augmenting pediatric nursing clinical education with low-cost simulations
    Valerie C. Martinez, Desiree A. Díaz, Mindi Anderson, Samantha Stephenson, Syretta Spears
    Journal of Pediatric Nursing.2025; 81: 136.     CrossRef
  • Effects of a virtual reality program and simulation training for nursing students on the measurement of vital signs in children: a mixed-methods study in South Korea
    Sun Nam Park, Hyun Young Koo, Hye Young Hwang
    Child Health Nursing Research.2025; 31(4): 296.     CrossRef
  • Child Nursing Simulation Scenario Content Analysis: A Directed Qualitative Content Analysis
    Eun Joo Kim, Kyung Mi Cho, Sung Sook Song
    Clinical Simulation in Nursing.2024; 87: 101488.     CrossRef
  • Development of neonatal Apgar scoring training program utilizing contactless hand tracking in immersive virtual reality
    Sun-Yi Yang, Yun-Hee Oh
    Nurse Education Today.2024; 140: 106294.     CrossRef
  • Enhancing Nursing Simulation Education: A Case for Extended Reality Innovation
    Shanna Fealy, Pauletta Irwin, Zeynep Tacgin, Zi Siang See, Donovan Jones
    Virtual Worlds.2023; 2(3): 218.     CrossRef
  • 7,765 View
  • 200 Download
  • 7 Crossref
Original Articles
An electronic medical record-based fall risk assessment tool for pediatric inpatients in South Korea: Improved sensitivity and specificity
Eun Joo Kim, Ji Young Lim, Geun Myun Kim, Junghyun Min
Child Health Nurs Res 2021;27(2):137-145.   Published online April 30, 2021
DOI: https://doi.org/10.4094/chnr.2021.27.2.137
Purpose
To develop a fall risk assessment tool to predict fall risk in pediatric inpatients.
Methods
Three tools widely used in clinical practice (Humpty Dumpty Fall Scale, General Risk Assessment for Pediatric Inpatient Falls, and Seoul National University Hospital Pediatric Fall Risk Scale) were examined, and assessment items were extracted. Employing a case-control design, 29 children who experienced falls during hospital stays were selected as the "fall" group, and a control group (93 children) was selected based on age and sex matching. The sensitivity, specificity, and positive and negative predictive values of the newly developed tool ("Newfs-PI") were analyzed.
Results
The Newfs-PI consisted of seven items: age, activity, history of falls, length of hospital stay, and medication. The total score ranged from 0 to 15. Its sensitivity and specificity were 62.07% and 74.19%, respectively.
Conclusion
The Newfs-PI has high specificity and sensitivity, which are essential for a fall risk assessment tool that complements existing tools. These values are high relative to those of existing assessment tools and satisfy both sensitivity and specificity criteria. As the EMR enables monitoring of the components of the Newfs-PI, the tool can be used as a fall risk assessment and prevention scale for pediatric inpatients.

Citations

Citations to this article as recorded by  
  • Sarcopenia in children: Lecture
    A. N. Zavyalova, V. P. Novikova, M. N. Yakovleva
    Meditsinskiy sovet = Medical Council.2024; (1): 245.     CrossRef
  • Fall prevention in a pediatric unit: a best practice implementation project
    Nydjia Lawrence, Robin Christian, Michelle Palokas, Linda Upchurch
    JBI Evidence Implementation.2024; 22(2): 149.     CrossRef
  • Development of an evidence‐based care bundle protocol for preventing falls in hospitalized children: Delphi study and trial test
    Lixia Chen, Wenjing Liu, Hong Li
    Nursing Open.2023; 10(3): 1715.     CrossRef
  • Escala Humpty Dumpty: adaptação transcultural e validação para cultura brasileira
    Elke Sandra Alves Rodrigues, Daniela Fernanda dos Santos Alves, Ana Márcia Chiaradia Mendes-Castillo, Thaís Moreira São-João, Giselli Cristina Villela Bueno, Deborah Hill-Rodriguez, Renata Cristina Gasparino
    Acta Paulista de Enfermagem.2023;[Epub]     CrossRef
  • The use of pediatric fall risk assessment tool in gastrointestinal endoscopic procedures: A prospective study
    Nadir YALÇIN, Mehmet Akif GÖKTAŞ, Ersin GÜMÜŞ
    Akademik Gastroenteroloji Dergisi.2023; 22(2): 103.     CrossRef
  • The revised Humpty Dumpty Fall Scale: An update to improve tool performance and predictive validity
    Danielle Altares Sarik, Deborah Hill-Rodriguez, Karina A. Gattamorta, Jacqueline L. Gonzalez, Jenny Esteves, Katherine Zamora, Jennifer Cordo
    Journal of Pediatric Nursing.2022; 67: 34.     CrossRef
  • 8,251 View
  • 303 Download
  • 6 Crossref
Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales
Eun Joo Kim, Ji Young Lim, Geun Myun Kim, Mi Kyung Lee
Child Health Nurs Res 2019;25(1):56-64.   Published online January 29, 2019
DOI: https://doi.org/10.4094/chnr.2019.25.1.56
Purpose
This study was conducted to obtain data for the development of an effective fall risk assessment tool for pediatric inpatients through a systematic review and meta-analysis of the diagnostic test accuracy of existing scales.
Methods
A literature search using Medline, Science Direct, CINAHL, EMBASE, and the Cochrane Library was performed between March 1 and 31, 2018. Of 890 identified papers, 10 were selected for review. Nine were used in the meta-analysis. Stata version 14.0 was used to create forest plots of sensitivity and specificity. A summary receiver operating characteristic curve was used to compare all diagnostic test accuracies.
Results
Four studies used the Humpty Dumpty Falls Scale. The most common items included the patient's diagnoses, use of sedative medications, and mobility. The pooled sensitivity and specificity of the nine studies were .79 and .36, respectively.
Conclusion
Considering the low specificity of the pediatric fall risk assessment scales currently available, there is a need to subdivide scoring categories and to minimize items that are evaluated using nurses' subjective judgment alone. Fall risk assessment scales should be incorporated into the electronic medical record system and an automated scoring system should be developed.

Citations

Citations to this article as recorded by  
  • Assessing the Alignment Between the Humpty Dumpty Fall Scale and Fall Risk Nursing Diagnosis in Pediatric Patients: A Retrospective ROC Curve Analysis
    Manuele Cesare, Fabio D’Agostino, Deborah Hill-Rodriguez, Danielle Altares Sarik, Antonello Cocchieri
    Healthcare.2025; 13(14): 1748.     CrossRef
  • Fall prevention in a pediatric unit: a best practice implementation project
    Nydjia Lawrence, Robin Christian, Michelle Palokas, Linda Upchurch
    JBI Evidence Implementation.2024; 22(2): 149.     CrossRef
  • Escala Humpty Dumpty: adaptação transcultural e validação para cultura brasileira
    Elke Sandra Alves Rodrigues, Daniela Fernanda dos Santos Alves, Ana Márcia Chiaradia Mendes-Castillo, Thaís Moreira São-João, Giselli Cristina Villela Bueno, Deborah Hill-Rodriguez, Renata Cristina Gasparino
    Acta Paulista de Enfermagem.2023;[Epub]     CrossRef
  • The use of pediatric fall risk assessment tool in gastrointestinal endoscopic procedures: A prospective study
    Nadir YALÇIN, Mehmet Akif GÖKTAŞ, Ersin GÜMÜŞ
    Akademik Gastroenteroloji Dergisi.2023; 22(2): 103.     CrossRef
  • The revised Humpty Dumpty Fall Scale: An update to improve tool performance and predictive validity
    Danielle Altares Sarik, Deborah Hill-Rodriguez, Karina A. Gattamorta, Jacqueline L. Gonzalez, Jenny Esteves, Katherine Zamora, Jennifer Cordo
    Journal of Pediatric Nursing.2022; 67: 34.     CrossRef
  • Reliability and Validity of a Pediatric Fall Risk Assessment Scale for Hospitalized Patients in Taiwan
    Ching-Mei Chang, Cheng-Fan Wen, Hsien-Feng Lin
    Quality Management in Health Care.2021; 30(2): 121.     CrossRef
  • An electronic medical record-based fall risk assessment tool for pediatric inpatients in South Korea: Improved sensitivity and specificity
    Eun Joo Kim, Ji Young Lim, Geun Myun Kim, Junghyun Min
    Child Health Nursing Research.2021; 27(2): 137.     CrossRef
  • A Systematic Review and Meta-Analysis of Fall Prevention Programs for Pediatric Inpatients
    Eun-Joo Kim, Geun-Myun Kim, Ji-Young Lim
    International Journal of Environmental Research an.2021; 18(11): 5853.     CrossRef
  • Evaluation of the risk of falls in hospitalized children using the GRAF PIF scale (General Risk Assessment for Pediatric Inpatient Falls Scale)
    Lucie Sikorová, Michaela Cmorjaková
    Pediatrie pro praxi.2021; 22(3): 240.     CrossRef
  • HARİZMİ Düşme Riski Ölçeği’nin Psikometrik Özelliklerinin İncelenmesi
    Şeyda SEREN İNTEPELER, Murat BEKTAŞ, Veysel Karani BARIŞ, İsa ÇELİK
    Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elek.2020; 13(4): 259.     CrossRef
  • 15,004 View
  • 442 Download
  • 10 Crossref
Awareness of Nursing Students’ Biomedical Ethics and Attitudes toward Withdrawal of Life-Sustaining Treatment
Geun Myun Kim, Kyung Suk Sung, Eun Joo Kim
Child Health Nurs Res 2017;23(3):292-299.   Published online July 31, 2017
DOI: https://doi.org/10.4094/chnr.2017.23.3.292
Purpose
This study was done to analyze nursing students’ attitudes to life-sustaining treatment by measuring their awareness of biomedical ethics and resulting attitude toward withdrawal of life-sustaining treatment.
Methods
This study was a descriptive research to assess the level of nursing students’ awareness of biomedical ethics, attitude toward withdrawal of life-sustaining treatment, and correlations between these variables. After the nursing students signed a consent form they were assessed. Data collection was done from September 1 to October 25, 2016, and analyzed using SPSS 23.0 WIM Program.
Results
There was a negative correlation and significant difference between nursing students’ awareness of biomedical ethics and attitude toward withdrawal of life-sustaining treatment. There was a significant correlation among attitude toward withdrawal of life-sustaining treatment and medical ethics, mortality ethics.
Conclusion
The findings in the study indicate that it is necessary to provide nursing students with easy access to continuous education to help them establish an acceptable view of withdrawal of life-sustaining treatment.

Citations

Citations to this article as recorded by  
  • Subjective Attitudes towards Terminal Patients of Nursing Students with Clinical Practice Experience: Application of Q Methodology
    Eun Ju Lee, Kyung-Hye Hwang, Ok-Hee Cho
    The Korean Journal of Hospice and Palliative Care.2019; 22(4): 156.     CrossRef
  • Factors Influencing Attitude Toward Advance Directive in Nursing Students
    Hee Jung Kim
    Journal of Korean Academic Society of Nursing Educ.2019; 25(2): 227.     CrossRef
  • 13,338 View
  • 473 Download
  • 2 Crossref
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