Purpose This study aimed to identify changes in the regional distribution of nurses from 2011 to 2020 and to measure the degree of geographic inequality in the distribution of nurses. Methods National statistics from 2011 to 2020 were used to analyze the distribution of practicing nurses and nursing graduates by region. The degree of geographic inequality in these distributions was measured using the Gini coefficient. Results Between 2011 and 2020, the number of nursing graduates increased significantly in the non-capital regions and medically underserved areas.
However, non-capital regions observed a smaller increase in the number of practicing nurses than in the number of nursing graduates produced, while capital regions experienced a larger increase in the number of practicing nurses than in the number of nursing graduates produced. Furthermore, the degree of geographic inequality in the distribution of practicing nurses worsened between 2011 and 2020. Conclusion Effective policies to prevent the outflow of rural nurses are necessary to mitigate geographical inequality in the distribution of nurses.
Purpose To estimate the number of practicing nurses required to resolve staffing differences between capital and non-capital regions and analyze the relationship between regional differences in staffing and salary. Methods Using public data on population, patients, newly licensed nurses, practicing nurses, and annual salaries, regional differences were analyzed in newly licensed nurses per population, practicing nurses per population, practicing nurses per patient (i.e., staffing level), and salary. The number of additionally required practicing nurses was estimated by multiplying staffing differences by the number of patients in the lower-staffed region. Results During 2002~2022, 71,107 and 243,611 newly licensed nurses were supplied, while the number of practicing nurses increased by 91,886 and 88,070 in the capital and non-capital regions, respectively. The non-capital region had more practicing nurses per population, whereas the capital region had more practicing nurses per patient. In 2020, 31,330 practicing nurses were additionally required in the non-capital region. Salaries were higher in the capital region, and regional salary differences increased during 2011~2020. Regional salary differences were associated with regional staffing differences and the number of additionally required practicing nurses. Conclusion Government and health insurance policies are required to encourage hospitals in the non-capital region to improve staffing and salaries.
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Changes in Nursing Grades and Nurse Staffing Levels following the 2024 Revision of Nursing Management Fee Standards: A Focus on Tertiary Hospitals and Medical Institutions in Seoul Hyeyoung Choi, Kiyoung Kim, Su-Jin Cho, Suyong Jeong Health Insurance Review & Assessment Service Research.2025; 5(1): 58. CrossRef
Purpose This study aims to propose revised inpatient nursing fee schedules that address three discrepancies between actual nurse staffing levels in general wards and the corresponding patient payment structures. Methods A total of 45 tertiary hospitals, 329 general hospitals, and 1,379 hospitals from publicly released data for 2021~2022 were analyzed. This analysis focused on three primary discrepancies between (1) the staffing grades under which patients were hospitalized and the corresponding grades for which they were charged; (2) the staffing grades determined by bed-to-nurse and patient-to-nurse criteria; and (3) the current differentiation rates of nursing fees and the expected differentiation rates based on the number of nurses required for each grade. Results The first discrepancy occurred in 8.9% of tertiary hospitals, 21.0% of general hospitals, and 26.0% of hospitals. The bed-to-nurse and patient-to-nurse grades differed by 2.23 and 2.29 grades on average in general hospitals and hospitals, respectively. The current differentiation rates were higher than the expected differentiation rates. New nursing fee schedules were suggested to resolve those discrepancies. Conclusion Nursing fees should be charged to reflect the staffing levels under which patients were cared for and proportionate to the number of nurses required to provide the corresponding staffing levels.
Purpose This study aimed to estimate the unmet demand for INCS and the number of needed beds for fulfillment.
Methods: Annual data from the Korea Health Panel (2015~2018), Health Insurance Statistical Yearbook (2015~ 2019), and published statistical data (2015~2019) were used. To measure the unmet demand, the utilization of informal nursing care services, which can be a market substitute for INCS, was used. The number of needed beds was calculated by dividing the demand by the bed occupancy rate multiplied by 365 days.
Results: The unmet demand decreased every year and was estimated to be 31~47 million person-day as of 2019. It was the highest in Gyeonggi (6~8 million) and the lowest in Jeju (160~220 thousand), while the fulfilled rate was the highest in Incheon (52~61%) and the lowest in Jeonbuk (6~8%). For each type, general hospitals showed the highest unmet demand (6~10 million), followed by hospitals (5~8 million) and tertiary hospitals (4~7 million). Gyeonggi province (37,212~48,882) and general hospitals (54,955~70,962) were most needed additional INCS beds.
Conclusion: Tailored bed expansion strategies are necessary to satisfy each region's and hospital’s demand. Considering the multi-layered causes of unmet demand, a healthcare system reform that increases the regional self-sufficiency of INCS is required.
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PURPOSE The purpose of this study was to explore the relationship between cost and revenue for inpatient nursing activities in general wards. METHODS Data were collected from 12 medical-surgical wards in one general hospital from January 1 to December 31, 2010. The nursing activities were categorized into 2 groups according to nursing service payment type in terms of the Korea health insurance system. Descriptive statistics were used to identify nursing activities and nursing activity costs. RESULTS Of 140 nursing activities identified as performed in general wards, payment for 69 items was included in nursing management fees. The percentage of each cost for the nursing units was 90% for labor, 4% for materials, and 6% for operating expenses. The cost for medical support nursing service accounted for 38% of costs and nursing management fees, 62%. The average profit and loss was -237,257,000 won. The cost recovery rate for nursing service was only 44%. CONCLUSION The results indicate a need to measure the economic value of nursing activities performed in general wards and use it as a basis for establishing an adequate reimbursement system for nursing service.
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PURPOSE The purpose of this study was to identify the major trends of research in the Journal of Korean Nursing Administration from 2007 to 2009. METHOD Research designs, participants, research domains, and key words were analyzed from the Journal of Korean Nursing Administration. RESULTS Job satisfaction, organizational commitment, job stress, turnover intention, nursing performance, self-efficiency, leadership, empowerment, nursing informatics, and quality control were the major key words commonly listed in the journal articles. Of the research in the Nursing Administration Journal, quantitative methods were used in 94.5% of the research studies and qualitative methods in only 5.5%. The major participants in the research were nurses, nurse managers, and patients. Statistical methods like ANOVA, correlation, t-test, regression, chi-square test, LISREL were the dominant method of analysis used in the research. The primary domains in the journal articles were directing, organizing, control, planning, and informatics. CONCLUSION Through this study, the trend of research in nursing administration can be identified. We recommend that collaboration, nurse work environment, evidence-based practice, scheduling, coaching, patient falls and safety, and positive culture should be included as topics for the future research.
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PURPOSE The purpose of this study was to compare the costs and benefits of home nursing care services between public health centers (PHC) and private hospitals. METHOD Participants were 105 patients who had received home nursing care services from a private hospital or public health center. From a societal perspective, the researcher identified the costs and benefits of the services using performance data and calculated the net benefit and benefit/cost ratio. RESULT The net benefit of the home nursing care service based in the PHC was 165.9 million won and benefit/cost ratio was 2.0, while the net benefit of the home nursing care services by the private hospital was 141.1 million won and benefit/cost ratio was 1.7. Both types of programs were economically validated. CONCLUSION Home nursing care services were basically efficient as the results showed a positive net benefit. A cost-benefit analysis indicated that the PHC-based home nursing care services were more efficient than that of the private hospital. With limited human resources and management standards in public health centers, results suggest the need for a more systematic management of the home nursing care service to improve the health of this vulnerable community population.
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