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"Nursing fee"

Original Articles
Recommending Revised Inpatient Nursing Fee Schedules Based on Actual Nurse Staffing Levels in General Wards
Sung-Hyun Cho, Jinhyun Kim, Jiyeong Seong, Ji-Yun Lee
J Korean Acad Nurs Adm 2023;29(5):540-552.   Published online December 31, 2023
DOI: https://doi.org/10.11111/jkana.2023.29.5.540
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.
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Estimation of Revenue Growth Generated by Changing Nurse Staffing Grades and Fees and Introducing Night Shift Nursing Fees
Sung-Hyun Cho, Kyung Jin Hong, Ji-Yun Lee
J Korean Acad Nurs Adm 2021;27(3):191-203.   Published online June 30, 2021
DOI: https://doi.org/10.11111/jkana.2021.27.3.191
Purpose
To analyze the changes in nurse staffing grades and to estimate the revenue growth generated by applying government guidelines for improving nurses’ working conditions. Methods: Staffing grades, ranging from grade 1 (highest) to 7 (lowest), for 2018 and 2020 were analyzed for 326 general hospitals (GHs) and 1,419 non-general hospitals (NGHs). The annual revenue growth per nurse generated by changing inpatient nursing care fee schedules and newly introducing night shift nursing fees were estimated. Results: Grade 1 GHs increased from 6.9% in 2018 to 39.6% in 2020, whereas grades 6-7 decreased from 31.8% to 17.6%. NGHs with grades 6-7 decreased from 81.8% to 61.6%. GHs and NGHs with no reported staffing grades decreased from 10.6% to 0% and from 63.2% to 14.8%, respectively. The estimated annual revenue growth per nurse from inpatient nursing care fees resulting from 1-grade improvements in staffing was 1.44~7.26 million Korean won (KRW) and 1.25~9.75 million KRW for GHs and NGHs, respectively, while the results from night shift nursing fees were 2.37~5.54 million KRW and 2.20~5.14 million KRW for GHs and NGHs, respectively. Conclusion: The increased revenues should be utilized to augment nurses’ wages and staffing levels as the guidelines recommend.

Citations

Citations to this article as recorded by  
  • Topic Modeling of Nursing Issues in the Media During 4 Emerging Infectious Disease Epidemics in South Korea: Descriptive Analysis
    Jungok Kim, Eun Kyoung Yun
    Journal of Medical Internet Research.2025; 27: e60446.     CrossRef
  • Impact of nursing policy on securing intensive care unit nurse staffing and in-hospital mortality
    Kyu-Tae Han, Seungju Kim
    Intensive and Critical Care Nursing.2025; 86: 103807.     CrossRef
  • 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
  • Nursing-sensitive Indicators in East Asian Hospitals: A Scoping Review
    Jae Jun Lee, Won Jin Seo, Dong Ah Park, Hwa Yeong Oh, Seung Eun Lee
    Quality Improvement in Health Care.2024; 30(2): 88.     CrossRef
  • Sleep quality and hours of nurses according to shift type and schedule: A cross-sectional study
    Hyoung Eun Chang
    Chronobiology International.2024; 41(12): 1591.     CrossRef
  • Relationships among meal time, break time and workplace characteristics of nurses who work day, evening and night shifts: a cross-sectional study
    Hyoung Eun Chang
    International Journal of Occupational Safety and Ergonomics.2024; 30(1): 312.     CrossRef
  • Improvement in nurse staffing ratios according to policy changes: a prospective cohort study
    Yunmi Kim, Kyounga Lee, Minho Jung
    BMC Nursing.2024;[Epub]     CrossRef
  • Changes in Working Hours and Labor Intensity and Their Effect on Sleep Difficulties of Shift Work Nurses in Hospitals
    Ji Yun Lee, Kyung Jin Hong
    Journal of Korean Academy of Nursing Administration.2023; 29(4): 446.     CrossRef
  • Measuring patient acuity and nursing care needs in South Korea: application of a new patient classification system
    Jeounghee Kim, TaeRim Kang, Hyun-Ju Seo, So-Young Seo, Myoungsook Kim, Youngsun Jung, Jinhyun Kim, Jung- Bok Lee
    BMC Nursing.2022;[Epub]     CrossRef
  • The Effect of Nurse Staffing on Patient Outcomes in Acute Care Hospitals in Korea
    Hyo-Jeong Yoon
    International Journal of Environmental Research and Public Health.2022; 19(23): 15566.     CrossRef
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PURPOSE
The purpose of this study was to examine trends in number of nursing staff and skill mix.
METHODS
Nursing staff and skill mix were measured using the number of nursing staff including nurse aids and registered nurses per bed. Descriptive and panel data regression analyses were conducted using data on long-term care hospitals which included yearly series data from 2006 to 2010 for 119 hospitals.
RESULTS
The number of nursing staff per bed increased significantly but percentage of registered nurses decreased significantly from 2007 to 2010. The regression model explained this variation as much as 35% and 44%.
CONCLUSION
The results showed that in long-term care hospitals there were more nurse aids employed instead of registered nurses after the implemention of differentiated inpatient nursing fees. Thus clarifying the job descriptions for nurses and nurse aids is needed and appropriate hospital incentive policies should be implemented.

Citations

Citations to this article as recorded by  
  • Factors Affecting the Preparedness to Care for Patients with Highly Infectious Diseases among Nursing Staff in Long-term Care Hospitals: A Cross-Sectional Descriptive Study
    Ye Seul Lee, Min Hye Lee
    Korean Journal of Adult Nursing.2023; 35(1): 35.     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 Influencing Patient Safety Nursing Activities of Nurses in Long-term Care Hospitals
    Ju-Hui Moon, Sook-Hee Yoon
    Journal of Korean Academy of Nursing Administration.2018; 24(4): 307.     CrossRef
  • Empathy Ability, Communication Ability, and Nursing Performance of Registered Nurses and Nursing Assistants in Long-term Care Hospitals
    Sun Jin Jeong, Kye Ha Kim
    Journal of Korean Academy of Nursing Administration.2017; 23(3): 249.     CrossRef
  • Recognition of Healthcare Accreditation, Job Stress, and Burnout Resilience of Nurses in Long-term Care Hospitals
    Sun Whoa Choi, Duck Hee Kim
    Journal of Korean Gerontological Nursing.2017; 19(2): 125.     CrossRef
  • Delegation of Nursing Activities in Long-term Care Hospitals
    Eun Ju Jang, Su Hyun Kim
    Journal of Korean Gerontological Nursing.2017; 19(2): 101.     CrossRef
  • Importance, Performance and Rates of Nurse Performance of Nursing Interventions in Long-term Care Hospitals
    Sunmi Kim, Seok Hee Jeong, Myung Ha Lee, Hyun Kyung Kim
    Journal of Korean Academy of Nursing Administration.2017; 23(4): 359.     CrossRef
  • The Influence of Terminal Care Performance, Death Anxiety and Self-Esteem on Terminal Care Stress of Geriatric Hospital Nurses
    Won Soon Kim, Hun Ha Cho, Suhye Kwon
    The Korean Journal of Hospice and Palliative Care.2016; 19(2): 154.     CrossRef
  • Confidence in delegation and leadership of registered nurses in long-term-care hospitals
    Jungmin Yoon, Miyoung Kim, Juhhyun Shin
    Journal of Nursing Management.2016; 24(5): 676.     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
  • Nursing outcomes of inpatient on level of nursing staffing in long term care hospitals
    Eun Hee Kim, Eunjoo Lee
    Journal of the Korean Data and Information Science Society.2015; 26(3): 715.     CrossRef
  • An Analysis of Actual States of the Nursing Grade of Medical Institutions
    Hyun-Suk Park
    Journal of Korean Clinical Health Science.2014; 2(3): 158.     CrossRef
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Activity-Based Costing Analysis of Nursing Activities in General Hospital Wards
Ho Soon Yoon, Jinhyun Kim
J Korean Acad Nurs Adm 2013;19(4):449-461.   Published online September 30, 2013
DOI: https://doi.org/10.11111/jkana.2013.19.4.449
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.

Citations

Citations to this article as recorded by  
  • An exploratory study of nursing tasks that induce physical and mental stress among hospital nurses
    Younhee Kang, Aekyeong Jin
    Applied Nursing Research.2024; 80: 151853.     CrossRef
  • Research Trends Review of Financial Performance in Hospitals
    Wonjung Noh, Ji Young Lim, Gyeong Ae Seomun, Miyoung Kim, Soyoung Yu, Yoomi Jung, Youngjin Lee
    Journal of Korean Academy of Nursing Administration.2023; 29(1): 76.     CrossRef
  • A Study on the Status of Application of Health Insurance Fees for Nursing Activities of Nurses in Rehabilitation Unit
    Oon Hee Yee, Sun-Houng Kim, Mihwa Cho, Kyung Hee Moon, Seungyoung Lee
    The Korean Journal of Rehabilitation Nursing.2021; 24(1): 1.     CrossRef
  • The Current and Future State of Academic Medicine in Korea: Education, Research, and Patient Care
    Dae Chul Jeong
    Korean Medical Education Review.2019; 21(2): 73.     CrossRef
  • Association of nurse staffing grade and 30-day mortality in intensive care units among cardiovascular disease patients
    Jae-Hyun Kim
    Medicine.2018; 97(42): e12895.     CrossRef
  • Analysis of Nurses’ Soothing Behaviors in Neonatal Intensive Care Unit: Focused on Babies with Bronchopulmonary Dysplasia
    Yu-Nah Lee, Hyunsook Shin
    Child Health Nursing Research.2017; 23(4): 494.     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
  • 17 View
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  • 7 Crossref
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