Journal of Korean Academy of Nursing

Original Articles

Computerization of Nurse Staffing and Scheduling according to Patient Classification: Jang Ho Park, Hyeoun Ae Park, Hyon Cho, Yong Sun Choi; Journal of Nurses Academic Society 1996;26(2):399-412. Published online March 30, 2017; DOI: https://doi.org/10.4040/jnas.1996.26.2.399

Abstract PDF: Even though Korean medical law stipulates that number of patients attended by a nurse is 2.5 for hospitalization and 30 for ambulatory care, the number of patients cared by a nurse per day is much greater than the standard prescribed by the medical law. Current nursing productivity of nurses is not desirable unless the quality of care considered. Moreover, nursing manpower staffing based on neither current nurses' productivity nor standard of medical law cannot respond properly to dynamic situation of the medical services. As for the nurse scheduling, the critical problem of it in the hospital is determining the day-to-day shift assignments for each nurse for the specified period in a way that satisfies the given requirements of the hospital. Nurse scheduling, however, involves many factors and requirements, manual scheduling requires much time and effort to produce an adequate schedule. Under these backgrounds, the necessity of more efficient management of nursing manpower occupying 1/3 of total hospital workers has been recognized by many nursing administrators. This study was performed to develop a system computerizing nurse staffing and scheduling based on the patient classification. As a preliminary step for the system development, nursing workload in a secondary hospital was measured from Sep. to Oct. 1994. On the grounds of this result, computerization of nurse staffing and scheduling was proceeded with three options. First one is based on the current medical law. Second one is based on the assigned number of nursing staff. And the last is based on the request by patient classification. Computer languages used in this study were MS Visual Basic 3.0 for the staffing and Access 2.0 for the scheduling, respectively. Prospective users may operate this system easily because icons and mouse are used for easier graphic user interface and reducing the need for typing efforts. This system can help nurse administrators manage nursing manpower efficiently and nurses develop quick and easy schedule generation and allow more time for the patient care.

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Impact of Nurse, Nurses' Aid Staffing and Turnover Rate on Inpatient Health Outcomes in Long Term Care Hospitals: Yunmi Kim, Ji Yun Lee, Hyuncheol Kang; J Korean Acad Nurs 2014;44(1):21-30. Published online February 28, 2014; DOI: https://doi.org/10.4040/jkan.2014.44.1.21

Purpose

This study was conducted to explore the impact of registered nurse/nurses' aid (RN/NA) staffing and turnover rate on inpatient health outcomes in long term care hospitals.

Methods

A secondary analysis was done of national data from the Health Insurance Review and Assessment Services including evaluation of long term care hospitals in October-December 2010 and hospital general characteristics in July-September 2010. Final analysis of data from 610 hospitals included RN/NA staffing, turnover rate of nursing staff and 5 patient health outcome indicators.

Results

Finding showed that, when variables of organization and community level were controlled, patients per RN was a significant indicator of decline in ADL for patients with dementia, and new pressure ulcer development in the high risk group and worsening of pressure ulcers. Patients per NA was a significant indicator for new pressure ulcer development in the low risk group. Turnover rate was not significant for any variable.

Conclusion

To maintain and improve patient health outcomes of ADL and pressure ulcers, policies should be developed to increase the staffing level of RN. Studies are also needed to examine causal relation of NA staffing level, RN staffing level and patient health outcomes with consideration of the details of nursing practice.

Citations

Citations to this article as recorded by

The Experience of turnover to long-term care hospital nurse: A phenomenological qualitative research
Inhee Choo, Milim Cho, Eunha Kim
Journal of Korean Gerontological Nursing.2024; 26(4): 392. CrossRef
Physical Therapy Provider Continuity Predicts Functional Improvements in Inpatient Rehabilitation
Mitchell D. Adam, Debra K. Ness, John H. Hollman
Journal of Neurologic Physical Therapy.2023; 47(2): 91. CrossRef
The effect of the reformed nurse staffing policy on employment of nurses in Korea
Jinhyun Kim, Sungjae Kim, Eunhee Lee, Hyunjeong Kwon, Jayon Lee, Hyunji Bae
Nursing Open.2021; 8(5): 2850. CrossRef
Nurses’ Clinical Work Experience during Pregnancy
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Eunhee Cho, Hyejin Kim, Soo Jung Chang, Hyang Kim, Jeongah Kim
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Kyung Jin Hong
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Youn Sil Kim, Jung Ae Park, Eun Koung Seo
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Experiences of Long-term Care Hospital Nurses Caring for Elders with Dementia
Eun Kyoung Suh, Hye Ryoung Kim
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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
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Young Kyoung Kim, Suhye Kwon
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Predictors of Turnover among New Nurses using Multilevel Survival Analysis
Suhee Kim, Kyongeun Lee
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Factors Influencing Nurse Turnover Intention of Senior Convalescence Hospitals in the Metropolitan Area
Youn Sun Hwang, Eunyoung Cho
Korean Journal of Occupational Health Nursing.2016; 25(3): 156. CrossRef
Nursing outcomes of inpatient on level of nursing staffing in long term care hospitals
Eun Hee Kim, Eunjoo Lee
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Korean Journal of Occupational Health Nursing.2015; 24(4): 290. CrossRef

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Variations in Nurse Staffing in Adult and Neonatal Intensive Care Units: Sung Hyun Cho, Jeong Hae Hwang, Yun Mi Kim, Jae Sun Kim; Journal of Korean Academy of Nursing 2006;36(5):691-700. Published online August 31, 2006; DOI: https://doi.org/10.4040/jkan.2006.36.5.691

Abstract PDF

Purpose

This study was done to analyze variations in unit staffing and recommend policies to improve nursing staffing levels in intensive care units (ICUs).

Method

A cross-sectional study design was used, employing survey data from the Health Insurance Review Agency conducted from June-July, 2003. Unitstaffing was measured using two indicators; bed-to-nurse (B/N) ratio (number of beds per nurse), and patient-to-nurse (P/N)ratio (number of average daily patients per nurse). Staffing levels were compared according to hospital and ICU characteristics.

Result

A total of 414 institutions were operating 569 adult and 86 neonatal ICUs. Tertiary hospitals (n=42) had the lowest mean B/N (0.82) and P/N (0.76) ratios in adult ICUs, followed by general hospitals (B/N: 1.34, P/N: 0.97). Those ratios indicated that a nurse took care of 3 to 5 patients per shift. Neonatal ICUs had worse staffing and had greater variations in staffing ratios than adult ICUs. About 17% of adult and 26% of neonatal ICUs were staffed only by adjunct nurses who had responsibility for a general ward as well as the ICU.

Conclusion

Stratification of nurse staffing levels and differentiation of ICU utilization fees based on staffing grades are recommended as a policy tool to improve nurse staffing in ICUs.

Citations

Citations to this article as recorded by

Development of a competency for professional oral hygiene care of endotracheally-intubated patients in the intensive care unit: development and validity evidence
Eun-Sil Choi, Hie-Jin Noh, Won-Gyun Chung, So-Jung Mun
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Associated Factors with Performance of Infection Control for the Prevention of Ventilator-associated Pneumonia among Some Intensive Care Unit Nurses
Hyeon Hwa Lee, Mi Ah Han, Jong Park, Seong Woo Choi
Journal of Health Informatics and Statistics.2018; 43(1): 1. CrossRef
Influencing Factors on Nursing Practices for Healthcare-associated Infections Control in Intensive Care Unit
Soon Ok Kim, Jin Suk Ra
Korean Journal of Healthcare-Associated Infection Control and Prevention.2018; 23(2): 39. CrossRef
The Study of Preceptor Nurses’ Occupational Stress and Burden
Joohee Han, Eun Kwang Yoo
Korean Journal of Stress Research.2018; 26(1): 38. 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
Nurse Staffing and Patient Mortality in Intensive Care Units
Sung-Hyun Cho, Jeong Hae Hwang, Jaiyong Kim
Nursing Research.2008; 57(5): 322. CrossRef

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