Journal of Korean Academy of Nursing

Eun Jee Lee

6 Articles

Effects of social support on organizational commitment among experienced nurses experiencing department rotation: the mediating effect of organizational socialization: Young Jun Jang, Jeong A Jeong, Yu Seung Ban, Seon Hwa Park, Eun Jee Lee; J Korean Acad Nurs 2025;55(3):364-376. Published online August 18, 2025; DOI: https://doi.org/10.4040/jkan.25042

Abstract PDF ePub: Purpose
This study explored the mediating role of organizational socialization in the relationship between social support and organizational commitment among nurses in hospitals who had experienced department rotation.
Methods
A descriptive survey design was used with 202 nurses from a tertiary hospital who had experienced department rotation within the past 12 months. Data were collected via an online questionnaire from August 1 to August 30, 2024. Analyses included frequency analysis, descriptive statistics, Pearson correlation, and multiple regression. The mediating effect was tested using IBM SPSS WIN ver. 23.0 and the PROCESS macro (model 4) with 10,000 bootstrap resamples.
Results
Organizational socialization partially mediated the relationship between social support and organizational commitment (B=.21; bootstrapped 95% confidence interval, 0.12–0.32).
Conclusion
The findings suggest that both social support and organizational socialization play essential roles in improving nurses’ organizational commitment following department rotation. Thus, practical programs, such as mentoring systems, should be implemented that both enhance social support and actively promote organizational socialization. These efforts have the potential to help nurses adjust more effectively to new units and ultimately improve retention and performance within healthcare organizations.

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Effects of a nursing leadership program on self-leadership, interpersonal relationships, clinical performance, problem-solving abilities, and nursing professionalism among nursing students in South Korea: a quasi-experimental study: Sunmi Kim, Young Ju Jeong, Hee Sun Kim, Seok Hee Jeong, Eun Jee Lee; J Korean Acad Nurs 2025;55(1):137-151. Published online February 25, 2025; DOI: https://doi.org/10.4040/jkan.24110

Abstract PDF ePub: Purpose
This study investigated the effects of a nursing leadership program on self-leadership, interpersonal relationships, clinical performance, problem-solving abilities, and nursing professionalism among nursing students in South Korea.
Methods
A quasi-experimental study was conducted. The Practice-Driven Nursing Leadership Program for Students (PDNLP-S) was developed based on the ADDIE model (analysis, design, development, implementation, and evaluation). This quasi-experimental study design included 60 nursing students. The experimental group (n=30) participated in the PDNLP-S for 120-minute sessions over 5 weeks, while the control group (n=30) received usual lectures. The PDNLP-S included lectures, discussions, and individual and group activities to cultivate core nursing leadership competencies such as individual growth, collaboration, nursing excellence, creative problem-solving, and influence. Data were analyzed using descriptive statistics, the Mann-Whitney U-test, and the independent t-test with IBM SPSS Windows ver. 26.0.
Results
The experimental group demonstrated significant improvements in self-leadership (t=3.28, p=.001), interpersonal relationships (t=3.07, p=.002), clinical performance (U=268.50, p=.004), and problem-solving abilities (t=2.20, p=.017) compared to the control group. No significant difference was observed in nursing professionalism (t=0.50, p=.311).
Conclusion
This study demonstrates that the PDNLP-S improved nursing students’ self-leadership, interpersonal relationships, clinical performance, and problem-solving abilities. The PDNLP-S can play a significant role in cultivating future nurse leaders by enhancing these nursing leadership competencies among nursing students.

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National Petition Analysis Related to Nursing: Text Network Analysis and Topic Modeling: HyunJung Ko, Seok Hee Jeong, Eun Jee Lee, Hee Sun Kim; J Korean Acad Nurs 2023;53(6):635-651. Published online December 31, 2023; DOI: https://doi.org/10.4040/jkan.23052

Abstract PDF

Purpose
This study aimed to identify the main keyword, network structure, and main topics of the national petition related to “nursing” in South Korea.
Methods
Data were gathered from petitions related to the national petition in Korea Blue House related to the topic “nursing” or “nurse” from August 17, 2017, to May 9, 2022. A total of 5,154 petitions were searched, and 995 were selected for the final analysis. Text network analysis and topic modeling were analyzed using the Netminer 4.5.0 program.
Results
Regarding network characteristics, a density of 0.03, an average degree of 144.483, and an average distance of 1.943 were found. Compared to results of degree centrality and betweenness centrality, keywords such as “work environment,” “nursing university,” “license,” and “education” appeared typically in the eigenvector centrality analysis. Topic modeling derived four topics: (1) “Improving the working environment and dealing with nursing professionals,” (2) “requesting investigation and punishment related to medical accidents,” (3) “requiring clear role regulation and legislation of medical and nonmedical professions,” and (4) “demanding improvement of healthcare-related systems and services.” Conclusion: This is the first study to analyze Korea's national petitions in the field of nursing. This study's results confirmed both the internal needs and external demands for nurses in South Korea. Policies and laws that reflect these results should be developed.

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Voice of Customer Analysis of Nursing Care in a Tertiary Hospital: Text Network Analysis and Topic Modeling
Hyunjung Ko, Nara Han, Seulki Jeong, Jeong A Jeong, Hye Ryoung Yun, Eun Sil Kim, Young Jun Jang, Eun Ju Choi, Chun Hoe Lim, Min Hee Jung, Jung Hee Kim, Dong Hyu Cho, Seok Hee Jeong
Journal of Korean Academy of Nursing Administration.2024; 30(5): 529. CrossRef
A Study on Internet News for Patient Safety Campaigns: Focusing on Text Network Analysis and Topic Modeling
Sun-Hwa Shin, On-Jeon Baek
Healthcare.2024; 12(19): 1914. CrossRef

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Images of Nurses Appeared in Media Reports Before and After Outbreak of COVID-19: Text Network Analysis and Topic Modeling: Min Young Park, Seok Hee Jeong, Hee Sun Kim, Eun Jee Lee; J Korean Acad Nurs 2022;52(3):291-307. Published online June 30, 2022; DOI: https://doi.org/10.4040/jkan.22002

Abstract PDF

Purpose
The aims of study were to identify the main keywords, the network structure, and the main topics of press articles related to nurses that have appeared in media reports.
Methods
Data were media articles related to the topic “nurse” reported in 16 central media within a one-year period spanning July 1, 2019 to June 30, 2020. Data were collected from the Big Kinds database. A total of 7,800 articles were searched, and 1,038 were used for the final analysis. Text network analysis and topic modeling were performed using NetMiner 4.4.
Results
The number of media reports related to nurses increased by 3.86 times after the novel coronavirus (COVID-19) outbreak compared to prior. Pre- and post-COVID-19 network characteristics were density 0.002, 0.001; average degree 4.63, 4.92; and average distance 4.25, 4.01, respectively. Four topics were derived before and after the COVID-19 outbreak, respectively. Pre-COVID-19 example topics are “a nurse who committed suicide because she could not withstand the Taewoom at work” andf “a nurse as a perpetrator of a newborn abuse case,” while post-COVID-19 examples are “a nurse as a victim of COVID-19,” “a nurse working with the support of the people,” and “a nurse as a top contributor and a warrior to protect from COVID-19.” Conclusion: Topic modeling shows that topics become more positive after the COVID-19 outbreak. Individual nurses and nursing organizations should continuously monitor and conduct further research on nurses’ image.

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Honoring donors: medical students’ reflections on cadaveric dissection
Young Gyu Kwon, Myeong Namgung, Song Hee Park, Mi Kyung Kim, Chan Woong Kim, Hyo Hyun Yoo
BMC Medical Education.2025;[Epub] CrossRef
Analysis of the relative importance of key factors in nursing workforce management for pandemic response in general hospitals and long-term care hospitals
Jeong Eun Cha, Eun Kyoung Yun
Journal of Korean Academy of Nursing.2025; 55(2): 236. CrossRef
Shifting social perceptions of dietitians in Korea after the legislation of nutrition teachers: a keyword network analysis of unstructured data
Yunkyoung Oh, Eunsil Her
Korean Journal of Community Nutrition.2025; 30(3): 214. CrossRef
Voice of Customer Analysis of Nursing Care in a Tertiary Hospital: Text Network Analysis and Topic Modeling
Hyunjung Ko, Nara Han, Seulki Jeong, Jeong A Jeong, Hye Ryoung Yun, Eun Sil Kim, Young Jun Jang, Eun Ju Choi, Chun Hoe Lim, Min Hee Jung, Jung Hee Kim, Dong Hyu Cho, Seok Hee Jeong
Journal of Korean Academy of Nursing Administration.2024; 30(5): 529. CrossRef
Impact of a game-based interprofessional education program on medical students’ perceptions: a text network analysis using essays
Young Gyu Kwon, Myeong Namgung, Song Hee Park, Mi Kyung Kim, Sun Jung Myung, Eun Kyung Eo, Chan Woong Kim
BMC Medical Education.2024;[Epub] CrossRef
Analysis of issues related to nursing law: Examination of news articles using topic modeling
JooHyun Lee, Hyoung Eun Chang, Jaehyuk Cho, Seohyun Yoo, Joonseo Hyeon, Andrea Cioffi
PLOS ONE.2024; 19(8): e0308065. CrossRef
Medical students’ perceptions of improving physician satisfaction and patient care: a text network analysis approach
Young Gyu Kwon, Myeong Namgung, Song Hee Park, Mi Kyung Kim, Hyo Hyun Yoo, Chan Woong Kim
BMC Medical Education.2024;[Epub] CrossRef
Socialisation of children to nurse and nursing images: A Goffman‐inspired thematic analysis of children's picture books in a Swedish context
Stinne Glasdam, Hongxuan Xu, Sigrid Stjernswärd
Nursing Inquiry.2024;[Epub] CrossRef
Agendas on Nursing in South Korea Media: Natural Language Processing and Network Analysis of News From 2005 to 2022
Daemin Park, Dasom Kim, Ah-hyun Park
Journal of Medical Internet Research.2024; 26: e50518. CrossRef
Research trends over 10 years (2010-2021) in infant and toddler rearing behavior by family caregivers in South Korea: text network and topic modeling
In-Hye Song, Kyung-Ah Kang
Child Health Nursing Research.2023; 29(3): 182. CrossRef
The Analysis of Research Trends and Public Awareness of Smart Farms using Text Mining
Sung-Ho Kil, Hye-Mi Park, Eunseok Lee, Jin-Young Kim, Ji-Woo Kim
Journal of People, Plants, and Environment.2023; 26(1): 9. CrossRef
National Petition Analysis Related to Nursing: Text Network Analysis and Topic Modeling
HyunJung Ko, Seok Hee Jeong, Eun Jee Lee, Hee Sun Kim
Journal of Korean Academy of Nursing.2023; 53(6): 635. CrossRef
An analysis of Research Published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing from 2013 to 2022 using Text Network Analysis and Topic Modeling
Eun Jo Kim, Kuem-Sun Han
Journal of Korean Academy of psychiatric and Mental Health Nursing.2023; 32(2): 188. CrossRef
Chronological Changes in the Portrayal of Korean Nurses in TV Documentaries
Eunjin Kim, Gumhee Baek, Aram Cho, Mijin Byun
Journal of Korean Academy of Nursing Administration.2023; 29(4): 341. CrossRef
A topic modeling analysis for Korean online newspapers: Focusing on the social perceptions of nurses during the COVID-19 epidemic period
Soo Jung Chang, Sunah Park, Yedong Son
The Journal of Korean Academic Society of Nursing Education.2022; 28(4): 444. CrossRef

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The Effects of Breast Milk Olfactory Stimulation on Physiological Responses, Oral Feeding Progression and Body Weight in Preterm Infants: Eun Jee Lee; J Korean Acad Nurs 2019;49(2):126-136. Published online April 30, 2019; DOI: https://doi.org/10.4040/jkan.2019.49.2.126

Abstract PDF

Purpose

This study was conducted to evaluate the effect of breast milk olfactory stimulation on physiological responses, oral feeding progression, and body weight in preterm infants.

Methods

A repeated measures design with nonequivalent control group was used. The participants were healthy, preterm infants born at a gestational age of 28~32 weeks; 12 in the experimental group and 16 in the control group. Data were collected prospectively in the experimental group, and retrospectively in the control group, by the same methods. Breast milk olfactory stimulation was provided 12 times over 15 days. The data were analyzed using the chi-square test, Mann-Whitney U test, Wilcoxon signed rank test and linear mixed models using SPSS 19.

Results

The gastric residual volume (GRV) of the experimental group was significantly less than that of the control group. The heart rate, oxygen saturation, respiration rate, transition time to oral feeding, and body weight were not significantly different between the two groups.

Conclusion

These findings indicate that breast milk olfactory stimulation reduces GRV and improves digestive function in preterm infants without inducing distress.

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Effect of breast milk olfactory experience on physiological indicators in very low birth weight infants: a randomized clinical trial
Ling Yu, Yibo Tao, Pin Jia, Liling Li, Tianchan Lv, Li Wang, Qinqin Song, Xia Huan, Chan Liu, Yalan Dou, Yan Xuan, Xiao-jing Hu
Scientific Reports.2025;[Epub] CrossRef
Effect of Smell and Taste of Milk on Feeding Parameters in Preterm Neonates: An Updated Meta-Analysis
Sarah Alenezi, Manal Aldaihani, Sabah Alqabandi, Ahmad A Alkandari, Bader A Almukaimi, Latifah Almutairi, Mohamed Abualqassim, Ziad A Kanaan, Manaal H Ameen, Yara H Farahat, Ahmed Abu-Zaid
Cureus.2024;[Epub] CrossRef
The Effect of Breast Milk Odor on Feeding Cues, Transition Time to Oral Feeding, and Abdominal Perfusion in Premature Newborns: A Randomised Controlled Trial
Adalet Yücel, Sibel Küçükoğlu, Hanifi Soylu
Biological Research For Nursing.2024; 26(1): 160. CrossRef
Effects of human milk odor stimulation on feeding in premature infants: a systematic review and meta-analysis
Yangyang Qin, Shu Liu, Yanming Yang, Yuan Zhong, Danshi Hao, Han Han
Scientific Reports.2024;[Epub] CrossRef
Family-Centered Care for High-Risk Infants and the Roles of Healthcare Professionals
Yeo Jin Im, Young-Ah Park
Journal of The Korean Society of Maternal and Child Health.2024; 28(1): 5. CrossRef
Effect of Olfactory Stimulation of Breast Milk on Neonatal Operational Pain and Feeding: A Meta-Analysis
凤霞侯
Advances in Clinical Medicine.2022; 12(10): 9403. CrossRef
Human neonates prefer colostrum to mature milk: Evidence for an olfactory bias toward the “initial milk”?
Magali Klaey‐Tassone, Karine Durand, Fabrice Damon, Katrin Heyers, Nawel Mezrai, Bruno Patris, Paul Sagot, Robert Soussignan, Benoist Schaal
American Journal of Human Biology.2021;[Epub] CrossRef
Olfactory Stimulation of Preterm Infants with Breast Milk
Woon Ae Lee, Jin Suk Ra
Clinical Nursing Research.2021; 30(8): 1183. CrossRef
Comparison of the Effect of Breast Milk and Sodium Bicarbonate Solution for Oral Care in Infants with Tracheal Intubation After Cardiothoracic Surgery
Xian-Rong Yu, Shu-Ting Huang, Ning Xu, Wang-Sheng Dai, Zeng-Chun Wang, Hua Cao, Qiang Chen
Breastfeeding Medicine.2021; 16(7): 568. CrossRef
The Effects of a Continuous Olfactory Stimulation Using Breast Milk (COSB) on Behavioral State and Physiological Responses in Korean Premature Infants
Young Ah Park, Yeo Jin Im
Journal of Pediatric Nursing.2020; 53: e114. CrossRef
Establishing a Foundation for Optimal Feeding Outcomes in the NICU
Britt F. Pados, Kristy Fuller
Nursing for Women's Health.2020; 24(3): 202. CrossRef

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