| 
	
		
				
			
				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
							
							 
				
										
										 Abstract  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 NursesEuntae 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 studyEun‐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 AnalysisBohyun Park, Yukyung Ko
 Asian Nursing Research.2020; 14(5): 293.     CrossRef
Factors Influencing Nursing Students' Choices of a Place of EmploymentSun 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 NursesEun-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 ImplicationsYunmi Kim, Sunju You, Jinhyun Kim
 Journal of Korean Academy of Nursing.2017; 47(6): 828.     CrossRef
Geographic Mobility and Related Factors among Newly Graduated NursesHyo 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 2011~2015Bohyun 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 countriesNareerut 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 AnalysisSuhee 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 RNsNami Hwang, Insun Jang, Eunjun Park
 Journal of the Korean Data and Information Science Society.2016; 27(3): 791.     CrossRef
Qualitative Research on Nurses Experiencing TaeoomSunHwa Choeng, InSook Lee
 Korean Journal of Occupational Health Nursing.2016; 25(3): 238.     CrossRef
Impact of a financial incentive policy on Korean nurse staffingY. 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 satisfactionSung-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 ImplicationTaewha 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 reviewGisèle Mbemba, Marie-Pierre Gagnon, Guy Paré, José Côté
 Human Resources for Health.2013;[Epub]     CrossRef
 
		
			959
			View
		
			3
			Download
		
			16
			Crossref
		 
	
		
				
			
				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
							
							 
				
										
										 Abstract  PDFPurpose
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 studyYukyung 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 WardJeong 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 StudiesYunhyung 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 DesignHyun-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 studyYoojin 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 sectorsYounghee 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 QualityKyung 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 analysisEunYoung Jeong
 Frontiers in Health Services.2023;[Epub]     CrossRef
The Nurse Staffing in Intensive Care Units based on Nursing Care Needs: A Multicenter StudyMiok 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 UnitsHye-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-analysisShiqi 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 PandemicYoung-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 KoreaBoyoung 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 dataYunmi 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 dataYunmi 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 NursesHyo 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 nursesDuckhee 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 StayYunmi 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 dataYunmi 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 hospitalsChul-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 studyChul-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 KoreaWankyo Chung, Min Sohn
 Journal of Cardiovascular Nursing.2018; 33(1): 47.     CrossRef
Effect of nurse staffing variation and hospital resource utilizationYunmi 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 ExpenseHai-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 1996~2013Sung-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 HospitalsJung 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 staffingY. Kim, J. Kim
 International Nursing Review.2015; 62(2): 171.     CrossRef
A Delphi Study to Elicit Policies for Nurse Workforce based on Patient SafetySung 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 WardMee-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 FeeSungjae Kim, Jinhyun Kim
 Journal of Korean Academy of Nursing Administration.2013; 19(5): 565.     CrossRef
 
		
			949
			View
		
			11
			Download
		
			31
			Crossref
		 |