Journal of Korean Academy of Nursing

Research Papers

Analysis of the Adequacy of Nurse Staffing Level through the Estimation of Nursing Activity Hours and Implementation of Focus Group Interviews in a Tertiary Hospital: Using a Mixed-Method Design: Kim, Hyun-Joo , Lee, Sun-Hee , Lee, Jai-Jung , Seong, Sun-Suk , Yang, Hee , Lee, Hyang-Yuol; J Korean Acad Nurs 2024;54(2):237-249. Published online May 31, 2024; DOI: https://doi.org/10.4040/jkan.22142

Abstract PDF: Purpose
This study aimed to examine the adequacy of current nurse staffing levels by identifying nursing activities and workload.
Methods
The study used a mixed-method design. A nursing activity survey was conducted using the work sampling method over 2 working days with 119 general ward nurses. A focus group interview was conducted with 12 nurses. Quantitative and qualitative data were analyzed using SPSS 20.0 and content analysis, respectively.
Results
The most amount of time was spent on medication (in direct nursing) and electronic medical record documentation (in indirect nursing). The appropriate nurse-to-patient ratio is 1:7.7 for the day shift, 1:9.0 for the evening shift, and 1:11.9 for the night shift. However, the current nurse-to-patient ratio is 1:9.4, 1:11.0, and 1:13.8 for the day, evening, and night shifts, respectively. Therefore, the current nurse staffing level is insufficient for the workload. In the focus group interview, the main reasons cited for being unable to complete tasks within working hours were communication and coordination, and the nursing electronic medical record. The essential nursing activities of basic nursing and emotional support were overlooked owing to a heavy workload. Therefore, an adequate nurse staffing level should be higher than the measured quantitative workload.
Conclusion
These results suggest the general wards of tertiary hospitals should evaluate the adequacy of their current nurse staffing and allocate sufficient nurses to improve patient safety and nursing care quality.

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

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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Effects of Nursing Work Environment on Intention to Stay of Hospital Nurses: A Two-Mediator Serial Mediation Effect of Career Motivation and Job-Esteem: Lee, Yu Na , Kim, Eungyung; J Korean Acad Nurs 2023;53(6):622-634. Published online December 31, 2023; DOI: https://doi.org/10.4040/jkan.23038

Abstract PDF: Purpose
This study aimed to identify the mediating effects of career motivation and job-esteem and the effect of the nursing work environment on intention to stay among hospital nurses.
Methods
Data were collected from 289 nurses working at an advanced general hospital. The research model design was based on the PROCESS macro proposed by Hayes and analyzed using SPSS 24.0 program.
Results
The results showed a positive correlation between intention to stay and nursing work environment (r = .19, p = .001), career motivation (r = .34, p < .001), and job-esteem (r = .37, p < .001). Nursing work environment (B = 0.34 [.09~.59]) and job-esteem (B = 0.27 [.04~.49]) had a direct effect on intention to stay. There was a two-mediator sereal mediation effect of career motivation and job-esteem. The nursing work environment showed a significant effect on the intention to stay among hospital nurses through career motivation and job-esteem.
Conclusion
In order to increase the retention rate of hospital nurses, it is suggested that government and medical institutions provide multifaceted support that can increase nurses’ motivation for career development and recognition of the nursing profession through improvement of the nursing work environment.

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Effects of Clinical Nurses’ Job Crafting on Organizational Effectiveness Based on Job DemandsResource Model: Lee, Eun Young , Kim, Eungyung; J Korean Acad Nurs 2023;53(1):129-143. Published online February 28, 2023; DOI: https://doi.org/10.4040/jkan.22138

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