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Sung-Hyun Cho 2 Articles
Geographical Imbalances: Migration Patterns of New Graduate Nurses and Factors Related to Working in Non-Metropolitan Hospitals
Sung-Hyun Cho, Ji Yun Lee, Barbara A. Mark, Han Yi Lee
J Korean Acad Nurs 2012;42(7):1019-1026.   Published online December 31, 2012
DOI: https://doi.org/10.4040/jkan.2012.42.7.1019
AbstractAbstract PDF
Purpose

To examine geographical imbalances by analyzing new graduate nurses' migration patterns among regions where they grew up, attended nursing school, and had their first employment and to identify factors related to working in non-metropolitan areas.

Methods

The sample consisted of 507 new graduates working in hospitals as full-time registered nurses in South Korea. Migration patterns were categorized into 5 patterns based on sequential transitions of "geographic origin-nursing school-hospital." Multiple logistic regression analysis was conducted to identify factors associated with working in non-metropolitan hospitals.

Results

Nurses who grew up, graduated, and worked in the same region accounted for the greatest proportion (54%). Sixty-five percent had their first employment in the region where they graduated. Nurses tended to move from poor to rich regions and from non-metropolitan to metropolitan areas. Working in non-metropolitan hospitals was related to older age, the father having completed less than 4 years of college education, non-metropolitan origin, non-capital city school graduation, and a diploma (vs. baccalaureate) degree.

Conclusion

Admitting students with rural backgrounds, increasing rural nursing school admission capacities, and providing service-requiring scholarships, particularly for students from low-income families, are recommended to address geographical imbalances.

Citations

Citations to this article as recorded by  
  • Empirical Analysis of Geographic Inequalities in the Distribution of Nurses
    Euntae Park, Jinhyun Kim
    Journal of Korean Academy of Nursing Administration.2024; 30(3): 271.     CrossRef
  • Job change among early career nurses and related factors: A postgraduation 4‐year follow‐up study
    Eun‐Young Kim, Sun‐Hee Kim
    Journal of Nursing Management.2022; 30(7): 3083.     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
  • Factors Influencing Nursing Students' Choices of a Place of Employment
    Sun Ju You, Jong Kyung Kim, Myun Sook Jung, Se Young Kim, Eun Kyung Kim
    Korean Journal of Health Promotion.2018; 18(4): 184.     CrossRef
  • Factors Associated with the Choices of Local Hospitals among New Graduate Nurses
    Eun-Young Kim, Hun Ha Cho
    Journal of Korean Academy of Nursing Administration.2018; 24(3): 202.     CrossRef
  • Impact of Increased Supply of Newly Licensed Nurses on Hospital Nurse Staffing and Policy Implications
    Yunmi Kim, Sunju You, Jinhyun Kim
    Journal of Korean Academy of Nursing.2017; 47(6): 828.     CrossRef
  • Geographic Mobility and Related Factors among Newly Graduated Nurses
    Hyo Jeong Yoon, Sung Hyun Cho
    Journal of Korean Academic Society of Nursing Education.2017; 23(3): 353.     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
  • A final-year nursing student survey: rural attitudes, perceived competencies and intention to work across five Asian countries
    Nareerut Pudpong, Rapeepong Suphanchaimat, Bipin Batra, Jianlin Hou, Lan T. H. Vu, Paul Dipika
    BMC Nursing.2017;[Epub]     CrossRef
  • Predictors of Turnover among New Nurses using Multilevel Survival Analysis
    Suhee Kim, Kyongeun Lee
    Journal of Korean Academy of Nursing.2016; 46(5): 733.     CrossRef
  • Factors influencing the intent to return to practice (work) of inactive RNs
    Nami Hwang, Insun Jang, Eunjun Park
    Journal of the Korean Data and Information Science Society.2016; 27(3): 791.     CrossRef
  • Qualitative Research on Nurses Experiencing Taeoom
    SunHwa Choeng, InSook Lee
    Korean Journal of Occupational Health Nursing.2016; 25(3): 238.     CrossRef
  • Impact of a financial incentive policy on Korean nurse staffing
    Y. Kim, J. Kim
    International Nursing Review.2015; 62(2): 171.     CrossRef
  • Geographic mobility of Korean new graduate nurses from their first to subsequent jobs and metropolitan-nonmetropolitan differences in their job satisfaction
    Sung-Hyun Cho, Ji Yun Lee, Barbara A. Mark, Cheryl B. Jones
    Nursing Outlook.2014; 62(1): 22.     CrossRef
  • Issues and Challenges of Nurse Workforce Policy: A Critical Review and Implication
    Taewha Lee, Kyeong Hwa Kang, Yu Kyung Ko, Sung-Hyun Cho, Eun-Young Kim
    Journal of Korean Academy of Nursing Administration.2014; 20(1): 106.     CrossRef
  • Interventions for supporting nurse retention in rural and remote areas: an umbrella review
    Gisèle Mbemba, Marie-Pierre Gagnon, Guy Paré, José Côté
    Human Resources for Health.2013;[Epub]     CrossRef
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  • 16 Crossref
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Effects of Hospital Nurse Staffing on in-hospital Mortality, Pneumonia, Sepsis, and Urinary Tract Infection in Surgical Patients
Yunmi Kim, Sung-Hyun Cho, Kyung Ja June, Soon Ae Shin, Jiyun Kim
J Korean Acad Nurs 2012;42(5):719-729.   Published online October 12, 2012
DOI: https://doi.org/10.4040/jkan.2012.42.5.719
AbstractAbstract PDF
Purpose

This study was done to examine relationships between nurse staffing level and postsurgical patient outcomes using inpatient database from the National Health Insurance.

Methods

Records of 111,491 patients who received one of 12 types of surgery between January and December, 2009 were identified and analyzed in this study. Nurse staffing level was measured using adjusted nurse staffing grades from 0 to 7. Patient outcomes were defined as in-hospital mortality, or pneumonia, sepsis, or urinary tract infection after surgery. Logistic regression analyses estimated by Generalized Estimation Model, were used to analyze the association between nurse staffing level and patient outcomes.

Results

An inverse relationship was found between nurse staffing and patient mortality. Compared with patients who were cared for in hospitals with the highest nurse staffing (Grades 0-1), increases in the odds of dying were found in those with Grades 6-7 [OR (odds ratio)= 2.99, 95% CI (confidence interval)= 1.94-4.60], those with Grades 4-5 (OR= 1.78, 95% CI= 1.24-2.57) and those with Grades 2-3 (OR= 1.57, 95% CI= 1.25-1.98). Lower nurse staffing level was also associated with higher number of cases in pneumonia and sepsis.

Conclusion

Policies for providing adequate nurse staffing is required to enhance quality of care and lead to better perioperative patient outcomes.

Citations

Citations to this article as recorded by  
  • Examining the experiences of mid-career nurses in hospitals: a phenomenological study
    Yukyung Ko, Soyoung Yu, Bohyun Park
    Contemporary Nurse.2024; 60(4): 333.     CrossRef
  • Differences in Medical Use and Patient Outcomes between Patients Admitted to the Integrated Nursing Care Ward and the General Ward
    Jeong Eun Mun, Bohyun Park
    Journal of Korean Academy of Nursing Administration.2024; 30(5): 439.     CrossRef
  • Experiences of Career Nurses Balancing Clinical Nursing with Ongoing Studies
    Yunhyung Kim, Yeonsook Joo, Eun Hee Kang, Jeong Hye Kim
    Journal of Korean Association for Qualitative Research.2024; 9(3): 215.     CrossRef
  • 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
    Hyun-Joo Kim, Sun-Hee Lee, Jai-Jung Lee, Sun-Suk Seong, Hee Yang, Hyang-Yuol Lee
    Journal of Korean Academy of Nursing.2024; 54(2): 237.     CrossRef
  • Exploring nurses' multitasking in clinical settings using a multimethod study
    Yoojin Kim, Mi Ja Lee, Mona Choi, Eunhee Cho, Gi Wook Ryu
    Scientific Reports.2023;[Epub]     CrossRef
  • Factors related to career interruption and Re‐employment of women in human health and social work activities sector: Comparison with other industry sectors
    Younghee Yun, Kyung Jin Hong
    Nursing Open.2023; 10(4): 2656.     CrossRef
  • Relationships between Alternative Nurse Staffing Level Measurements and Nurses’ Perceptions of Nurse Staffing Level Adequacy, Fatigue, and Care Quality
    Kyung Jin Hong, Hyesook Chung, Young Mi Jo, Paolo C. Colet
    Journal of Nursing Management.2023; 2023: 1.     CrossRef
  • Impact on health outcomes of hemodialysis patients based on the experience level of registered nurses in the hemodialysis department: a cross-sectional analysis
    EunYoung Jeong
    Frontiers in Health Services.2023;[Epub]     CrossRef
  • The Nurse Staffing in Intensive Care Units based on Nursing Care Needs: A Multicenter Study
    Miok Park, Eunjin Yang, Mimi Lee, Sung-Hyun Cho, Miyoung Shim, Soon Haeng Lee
    Journal of Korean Critical Care Nursing.2021; 14(2): 1.     CrossRef
  • Is Hospital Nurse Staffing Legislation in the Public’s Interest?
    Karen B. Lasater, Linda H. Aiken, Douglas M. Sloane, Rachel French, Colleen V. Anusiewicz, Brendan Martin, Kyrani Reneau, Maryann Alexander, Matthew D. McHugh
    Medical Care.2021; 59(5): 444.     CrossRef
  • The Relationship between Nursing Care Needs and Nurse Staffing in Pulmonology Nursing Units
    Hye-Kyung Jo, Sung-Heui Bae
    Korean Journal of Adult Nursing.2021; 33(3): 236.     CrossRef
  • Association between perioperative chlorhexidine oral care and postoperative pneumonia in non-cardiac surgical patients: A systematic review and meta-analysis
    Shiqi Liang, Xingxia Zhang, Yanjie Hu, Jie Yang, Ka Li
    Surgery.2021; 170(5): 1418.     CrossRef
  • Changes in Nurse Staffing Grades of Korean Hospitals during COVID-19 Pandemic
    Young-Taek Park, JeongYun Park, Ji Soo Jeon, Young Jae Kim, Kwang Gi Kim
    International Journal of Environmental Research and Public Health.2021; 18(11): 5900.     CrossRef
  • Relationship between hospital specialization and health outcomes in patients with nonsurgical spinal joint disease in South Korea
    Boyoung Jung, Jiyoon Yeo, Sun Jung Kim, In-Hyuk Ha
    Medicine.2021; 100(32): e26832.     CrossRef
  • Association between registered nurse staffing levels and in-hospital mortality in craniotomy patients using Korean National Health Insurance data
    Yunmi Kim, Se Young Kim, Kyounga Lee
    BMC Nursing.2020;[Epub]     CrossRef
  • Association between the bed-to-nurse ratio and 30-day post-discharge mortality in patients undergoing surgery: a cross-sectional analysis using Korean administrative data
    Yunmi Kim, Hyun-Young Kim, Eunyoung Cho
    BMC Nursing.2020;[Epub]     CrossRef
  • Evaluating Nursing Needs in the Neonatal Intensive Care Unit with the Korean Patient Classification System for Neonatal Intensive Care Nurses
    Hyo nam An, Sukhee Ahn
    Journal of Korean Critical Care Nursing.2020; 13(2): 24.     CrossRef
  • A multilevel investigation of cultural competence among South Korean clinical nurses
    Duckhee Chae, Yunhee Park, Kyeonghwa Kang, Jongdae Kim
    Scandinavian Journal of Caring Sciences.2020; 34(3): 613.     CrossRef
  • Influence of Hospital Nurse Staffing Levels on the Colorectal Cancer Evaluation Grades, Mortality, and Length of Stay
    Yunmi Kim, Se Young Kim
    Korean Journal of Adult Nursing.2019; 31(5): 479.     CrossRef
  • Relationship between the legal nurse staffing standard and patient survival after perioperative cardiac arrest: A cross-sectional analysis of Korean administrative data
    Yunmi Kim, Jiyun Kim, Soon Ae Shin
    International Journal of Nursing Studies.2019; 89: 104.     CrossRef
  • The association between nurse staffing levels and paediatric nursing-sensitive outcomes in tertiary hospitals
    Chul-Gyu Kim, Ji-Soo Kim
    Journal of Nursing Management.2018; 26(8): 1002.     CrossRef
  • Relationship between nurse staffing level and adult nursing-sensitive outcomes in tertiary hospitals of Korea: Retrospective observational study
    Chul-Gyu Kim, Kyun-Seop Bae
    International Journal of Nursing Studies.2018; 80: 155.     CrossRef
  • The Impact of Nurse Staffing on In-Hospital Mortality of Stroke Patients in Korea
    Wankyo Chung, Min Sohn
    Journal of Cardiovascular Nursing.2018; 33(1): 47.     CrossRef
  • Effect of nurse staffing variation and hospital resource utilization
    Yunmi Kim, Seon‐Ha Kim, Young Ko
    Nursing & Health Sciences.2016; 18(4): 473.     CrossRef
  • Relationship between Medical Service Specialization and Operational Performance in Hospitals: Focusing on Length of Stay and Medical Expense
    Hai-Won Yoo, Kyoung-Hoon Kim
    The Korean Journal of Health Service Management.2016; 10(1): 1.     CrossRef
  • Nurse Staffing Levels and Proportion of Hospitals and Clinics Meeting the Legal Standard for Nurse Staffing for 1996~2013
    Sung-Hyun Cho, Ji-Yun Lee, Kyung-Ja June, Kyung Jin Hong, Yunmi Kim
    Journal of Korean Academy of Nursing Administration.2016; 22(3): 209.     CrossRef
  • Impact of Nurse Staffing Level and Oral Care on Hospital Acquired Pneumonia in Long-term Care Hospitals
    Jung Mi Chae, Hyunjong Song, Gunseog Kang, Ji Yun Lee
    Journal of Korean Academy of Nursing Administration.2015; 21(2): 174.     CrossRef
  • Impact of a financial incentive policy on Korean nurse staffing
    Y. Kim, J. Kim
    International Nursing Review.2015; 62(2): 171.     CrossRef
  • A Delphi Study to Elicit Policies for Nurse Workforce based on Patient Safety
    Sung Ok Chang, Byoung Sook Lee, Jong Im Kim, Sung Rae Shin
    Journal of Korean Academy of Nursing Administration.2014; 20(2): 215.     CrossRef
  • Analysis on Satisfaction of Nursing Services for Elderly hospitalized in Attended Ward and General Ward
    Mee-Suk Wang, In Deok Lee, M.S. Kang, Eun-Kwang Cha, Dae-Ho Choi, Hyeon-Cheol Jeong
    Journal of the Korea Academia-Industrial cooperation Society.2014; 15(5): 3014.     CrossRef
  • Financial Projection of the Nursing Fee Differentiation Policy Improvement Proposal in the National Health Insurance: Using a Break-even Analysis Model for the Optimal Nursing Fee
    Sungjae Kim, Jinhyun Kim
    Journal of Korean Academy of Nursing Administration.2013; 19(5): 565.     CrossRef
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  • 31 Crossref
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