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Research Papers
Factors Influencing Re-Employment of Newly Graduated Nurses: Longitudinal Study
Oh, Yun Kyung , Kim, Eun-Young
J Korean Acad Nurs 2021;51(2):162-172.   Published online April 30, 2021
DOI: https://doi.org/10.4040/jkan.20158
AbstractAbstract PDF
Purpose
The purpose of this study was to identify factors influencing the re-employment of newly graduated nurses.
Methods
A longitudinal design was employed. The participants in this online survey study were 138 newly graduated nurses who had left their first jobs. Data were collected from June 2019 to January 2020 and analyzed using descriptive statistics, chi-square tests, t-tests, Cox’s proportional hazards models with the IBM SPSS ver. 26.0 for Windows program.
Results
About 76.1% of the participants were re-employed within one year of leaving their first jobs and the average period until re-employment was about 14 weeks. Cox’s proportional hazards models revealed that factors affecting re-employment among newly graduated nurses were social support (hazard ratio [HR] = 1.39, 95% confidence interval [CI] = 1.01~1.91; p = .042), job search efficacy (HR = 1.33, 95% CI = 1.01~1.77;p = .047), and extrinsic outcome expectation (HR = 1.39, 95% CI = 1.08~1.79; p = .010).
Conclusion
Social support, job search efficacy, and extrinsic outcome expectation can play a significant role in the re-employment of newly graduated nurses. It is necessary to establish strategies to enhance their social support, job search efficacy, and extrinsic outcome expectation in order to increase the re-employment of newly graduated nurses.

Citations

Citations to this article as recorded by  
  • Turnover Rates and Factors Associated With Turnover: A Longitudinal Analysis of the Retention Period of Clinical Nurses in Korea Using National Data
    Yunmi Kim, Hyun-Young Kim
    Policy, Politics, & Nursing Practice.2024; 25(2): 83.     CrossRef
  • Analysis of longitudinal causal relationships between gender role attitudes and labor market participation of young women in Korea
    Hanryeo Lim, Sungpyo Hong
    International Sociology.2023; 38(1): 73.     CrossRef
  • Re-employment Hospital Types of Early Career Nurses and Changes in Work-Life Balance
    Eun-Young Kim, Yun-Kyung Oh
    STRESS.2022; 30(3): 163.     CrossRef
  • The Validity and Reliability of the Korean Version of Readiness for Practice Survey for Nursing Students
    Tae Wha Lee, Yoonjung Ji, Yea Seul Yoon
    Journal of Korean Academy of Nursing.2022; 52(6): 564.     CrossRef
  • Retention Rates and the Associated Risk Factors of Turnover among Newly Hired Nurses at South Korean Hospitals: A Retrospective Cohort Study
    Yunmi Kim, Hyun-Young Kim
    International Journal of Environmental Research and Public Health.2021; 18(19): 10013.     CrossRef
  • 265 View
  • 8 Download
  • 4 Web of Science
  • 5 Crossref
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The Effect of Neighborhood Characteristics and Friends’ Smoking Status on the Habitual Smoking Onset in Adolescents
Choi, You-Jung , Kim, Gwang Suk
J Korean Acad Nurs 2021;51(1):54-67.   Published online February 28, 2021
DOI: https://doi.org/10.4040/jkan.20212
AbstractAbstract PDF
Purpose
The aim of this study was threefold, to longitudinally examine the risk of habitual smoking onset in adolescents, to delineate the effects of neighborhood characteristics and friends’ smoking status on the habitual smoking onset, and to investigate whether the association between friends’ smoking status and habitual smoking onset was moderated by neighborhood characteristics.
Methods
This study conducted multilevel discrete-time survival analysis, using cohort data from the 3rd to 6th waves of the Korean Child and Youth Panel Survey, which excluded habitual smokers, matched with 2010 census data on respondents’ residence.
Results
Habitual smoking onset risk increased from the 8th to the 11th grade, and then slightly decreased from the 11th to the 12th grade. Friends’ smoking status (B = 0.60, p < .001), smoking rate (B = 0.06, p = .038), and the number of tobacco outlets in the respondents’ neighborhood (B = 0.51, p = .003) were positively associated with habitual smoking onset risk. Furthermore, the association between friends’ smoking status and habitual smoking onset risk was moderated by the number of tobacco outlets in the neighborhood. Specifically, the association was stronger in neighborhoods with more tobacco outlets (B = 0.58, p = .048).
Conclusion
Friends’ smoking status and living in neighborhoods that are more susceptible to smoking increase the risk of habitual smoking. The number of tobacco outlets in the neighborhood enhances the peer effect of adolescent’s smoking behavior. Therefore, policies or interventions designed to reduce youth’s tobacco use should focus on not only on reducing peer smoking, but also restricting smoking by adults and the number of neighborhood tobacco outlets.

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  • Effects of the “double reduction” policy on the commercial tutoring sector in China
    Nan Zhao, Chunyan Shi, Chenyang Wang
    International Journal of Educational Development.2024; 105: 102989.     CrossRef
  • School Nurses’ Experiences and Needs in COVID-19 Pandemic Response: A Qualitative Study
    Kyoungsan Seo, Se-an Kim, Young June Choe, Jihyun Moon
    The Journal of School Nursing.2023;[Epub]     CrossRef
  • A Study on the Factors Influencing Smoking in Multicultural Youths in Korea
    Jin-Hee Park, Mi-Jin Kim, Hee-Joo Lee
    Healthcare.2023; 11(10): 1437.     CrossRef
  • 341 View
  • 4 Download
  • 2 Web of Science
  • 3 Crossref
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Original Articles
Predictors of Turnover among New Nurses using Multilevel Survival Analysis
Suhee Kim, Kyongeun Lee
J Korean Acad Nurs 2016;46(5):733-743.   Published online October 31, 2016
DOI: https://doi.org/10.4040/jkan.2016.46.5.733
AbstractAbstract PDF
Purpose

The purpose of this study was to examine factors influencing new graduate nurse turnover.

Methods

This study was carried out as a secondary analysis of data from the 2010 Graduates Occupational Mobility Survey (GOMS). A total of 323 nurses were selected for analysis concerning reasons for turnover. Data were analyzed using descriptive statistics and multilevel survival analysis.

Results

About 24.5% of new nurses left their first job within 1 year of starting their jobs. Significant predictors of turnover among new nurse were job status, monthly income, job satisfaction, the number of hospitals in region, and the number of nurses per 100 beds.

Conclusion

New graduate nurses are vulnerable to turnover. In order to achieve the best health of the nation, policy approaches and further studies regarding reducing new graduate nurse turnover are needed.

Citations

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  • Prevalence and Moderating Factors of Turnover Rate and Turnover Intention Among Nurses Worldwide: A Meta-Analysis
    Dluha Mafula, Hidayat Arifin, Ruey Chen, Chien-Mei Sung, Chiu-Kuei Lee, Kai-Jo Chiang, Kondwani Joseph Banda, Kuei-Ru Chou
    Journal of Nursing Regulation.2025; 15(4): 20.     CrossRef
  • Individual and environmental factors that influence longevity of newcomers to nursing and midwifery: a scoping review
    Janie Alison Brown, Tanya Capper, Desley Hegney, Helen Donovan, Moira Williamson, Pauline Calleja, Terena Solomons, Sally Wilson
    JBI Evidence Synthesis.2024; 22(5): 753.     CrossRef
  • Assessing the impacts of nurse staffing and work schedules on nurse turnover: A systematic review
    Sung‐Heui BAE
    International Nursing Review.2024; 71(1): 168.     CrossRef
  • Factors associated with practice readiness among newly qualified nurses in their first two years of practice
    Siew Hoon Lim, Shin Yuh Ang, Fazila Aloweni, Kee Chen Elaine Siow, Sabrina Bee Leng Koh, Tracy Carol Ayre
    Nurse Education Today.2024; 136: 106143.     CrossRef
  • South Korean Nurse Residency Program for New Graduates: A Posttest Study
    Jihye Song, Kyunghee Kim, Yunjung Jang
    The Journal of Continuing Education in Nursing.2024; 55(8): 393.     CrossRef
  • Socializing into a Profession with High Early Turnover: Nursing Students’ Expectations for Leader-Member Relationships
    Jennifer K. Ptacek, Leah M. Omilion-Hodges
    Health Communication.2024; 39(11): 2402.     CrossRef
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    Edah Anyango, Esther Adama, Janie Brown, Irene Ngune
    Nurse Education Today.2024; 138: 106196.     CrossRef
  • Association of Work Schedules With Nurse Turnover: A Cross-Sectional National Study
    Sung-Heui Bae
    International Journal of Public Health.2023;[Epub]     CrossRef
  • Comprehensive assessment of factors contributing to the actual turnover of newly licensed registered nurses working in acute care hospitals: a systematic review
    Sung-Heui Bae
    BMC Nursing.2023;[Epub]     CrossRef
  • Turnover intention and retention of newly licensed nurses in their first job: A longitudinal study
    Hyoung Eun Chang, Sung‐Hyun Cho
    International Nursing Review.2023; 70(3): 338.     CrossRef
  • Factors Influencing RNs' Intention to Stay in Nursing Homes: Multilevel Modeling Approach
    Sunyeob Choi, Jiyeon Lee
    Journal of Gerontological Nursing.2023; 49(7): 40.     CrossRef
  • Factors associated with difficulty in adapting and intent to leave among new graduate nurses in South Korea
    Sun-young Park, Heejung Kim, Chenjuan Ma
    Health Care Management Review.2022; 47(2): 168.     CrossRef
  • Why Nurses Are Leaving Veterans Affairs Hospitals?
    Dongjin Oh, Keon-Hyung Lee
    Armed Forces & Society.2022; 48(4): 760.     CrossRef
  • Re-employment Hospital Types of Early Career Nurses and Changes in Work-Life Balance
    Eun-Young Kim, Yun-Kyung Oh
    STRESS.2022; 30(3): 163.     CrossRef
  • Factors Influencing Re-Employment of Newly Graduated Nurses: Longitudinal Study
    Yun Kyung Oh, Eun-Young Kim
    Journal of Korean Academy of Nursing.2021; 51(2): 162.     CrossRef
  • Predictors of actual turnover among nurses working in Korean hospitals: A nationwide longitudinal survey study
    Sung‐Heui Bae, Mijung Cho, Oksoo Kim, Yanghee Pang, Chiyoung Cha, Heeja Jung, Sue Kim, Hyunseon Jeong
    Journal of Nursing Management.2021; 29(7): 2102.     CrossRef
  • The Effect of Neighborhood Characteristics and Friends' Smoking Status on the Habitual Smoking Onset in Adolescents
    You-Jung Choi, Gwang Suk Kim
    Journal of Korean Academy of Nursing.2021; 51(1): 54.     CrossRef
  • Nurse turnover: A longitudinal survival analysis of the Korea Nurses' Health Study
    Young Taek Kim, Oksoo Kim, Chiyoung Cha, Yanghee Pang, Choa Sung
    Journal of Advanced Nursing.2021; 77(10): 4089.     CrossRef
  • Factors associated with the nurses’ intent to stay in China, Japan, and Korea: an integrative review
    Ting Xue, Wen-Bin Jiang, Meng-Di Ma, Jie Zhang, Ming-Hui Lu, Yong-Mei Jiang
    Frontiers of Nursing.2020; 7(3): 269.     CrossRef
  • Exploring barriers and facilitators for successful transition in new graduate nurses: A mixed methods study
    Ju Hee Kim, Hye Sook Shin
    Journal of Professional Nursing.2020; 36(6): 560.     CrossRef
  • Turnover Rates and Factors Influencing Turnover of Korean Acute Care Hospital Nurses: A Retrospective Study Based on Survival Analysis
    Bohyun Park, Yukyung Ko
    Asian Nursing Research.2020; 14(5): 293.     CrossRef
  • Effects of Head Nurses' Authentic Leadership, Job Satisfaction and Organizational Commitment Perceived by Newly Licenced Nurses on Turnover Intention
    Eun Min An, Ju Young Park
    Journal of Korean Academy of Nursing Administration.2020; 26(4): 428.     CrossRef
  • Relationships among demands at work, aggression, and verbal abuse among registered nurses in South Korea
    Hyoung Eun Chang, Mi Youn Park, Haena Jang, Shinae Ahn, Hyo-Jeong Yoon
    Nursing Outlook.2019; 67(5): 567.     CrossRef
  • Survey on the Education System for New Graduate Nurses in Hospitals: Focusing on the Preceptorship
    Sujin Shin, Young Woo Park, Mijung Kim, Jeonghyun Kim, Inyoung Lee
    Korean Medical Education Review.2019; 21(2): 112.     CrossRef
  • The effect of quality of work life and job control on organizational indifference and turnover intention of nurses: a cross-sectional questionnaire survey
    Narjes Alsadat Nasabi, Peivand Bastani
    Central European Journal of Nursing and Midwifery.2018; 9(4): 915.     CrossRef
  • Predictors of Turnover Intention among Nurses in Small and Medium-sized Hospitals
    Jeong Hye Park, Hye Young Hwang
    Journal of Korean Academy of Nursing Administration.2017; 23(5): 471.     CrossRef
  • Patterns and Influential Factors of Inter-Regional Migration of New and Experienced Nurses in 2011~2015
    Bohyun Park, Se Young Kim
    Journal of Korean Academy of Nursing.2017; 47(5): 676.     CrossRef
  • 286 View
  • 3 Download
  • 27 Crossref
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Risk Factors for Deliberate Self-extubation
Young Shin Cho, Jung Hee Yeo
J Korean Acad Nurs 2014;44(5):573-580.   Published online October 31, 2014
DOI: https://doi.org/10.4040/jkan.2014.44.5.573
AbstractAbstract PDF
Purpose

This study was conducted to analyze intubation survival rates according to characteristics and to identify the risk factors affecting deliberate self-extubation.

Methods

Data were collected from patients' electronic medical reports from one hospital in B city. Participants were 450 patients with endotracheal intubation being treated in intensive care units. The collected data were analyzed using Kaplan-Meier estimation, Log rank test, and Cox's proportional hazards model.

Results

Over 15 months thirty-two (7.1%) of the 450 intubation patients intentionally extubated themselves. The patients who had experienced high level of consciousness, agitation. use of sedative, application of restraints, and day and night shift had significantly lower intubation survival rates. Risk factors for deliberate self-extubation were age (60 years and over), unit (neurological intensive care), level of consciousness (higher), agitation, application of restraints, shift (night), and nurse-to-patient ratio (one nurse caring for two or more patients).

Conclusion

Appropriate use of sedative drugs, effective treatment to reduce agitation, sufficient nurse-to-patient ratio, and no restraints for patients should be the focus to diminish the number of deliberate self-extubations.

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    Jaejin Kang, Yang-Sook Yoo
    Korean Journal of Adult Nursing.2022; 34(2): 158.     CrossRef
  • Incidence of Unplanned Extubation and Related Factors of Reintubation in the Neonatal Intensive Care Unit
    Hee Moon Lim, Hyejung Lee, Mi Jung Park, Jeong Eun Shin
    Journal of The Korean Society of Maternal and Child Health.2022; 26(2): 72.     CrossRef
  • Unplanned Extubation as a Prognostic Factor in Critically Ill Patients: A Systematic Review and Meta-analysis
    Takeshi Unoki, Hideaki Sakuramoto, Shunsuke Taito, Yuki Kataoka
    Annals of Clinical Epidemiology.2021; 3(3): 78.     CrossRef
  • Nurses’ Experiences of Patients’ Safety Accidents
    Yujin Hur, Miha Chung, Jinyoung Lee
    The Korean Journal of Rehabilitation Nursing.2021; 24(2): 131.     CrossRef
  • Self-extubation in patients with traumatic head injury: Determinants, complications, and outcomes
    SaeedA Mahmood, OmaimaS Mahmood, AymanA El-Menyar, MohammadM Asim, AhmedAbdel-Aziz Abdelbari, TalatSaeed Chughtai, HassanA Al-Thani
    Anesthesia: Essays and Researches.2019; 13(3): 589.     CrossRef
  • Unplanned Extubation in Patients with Mechanical Ventilation: Experience in the Medical Intensive Care Unit of a Single Tertiary Hospital
    Tae Won Lee, Jeong Woo Hong, Jung-Wan Yoo, Sunmi Ju, Seung Hun Lee, Seung Jun Lee, Yu Ji Cho, Yi Yeong Jeong, Jong Deog Lee, Ho Cheol Kim
    Tuberculosis and Respiratory Diseases.2015; 78(4): 336.     CrossRef
  • 188 View
  • 2 Download
  • 7 Crossref
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