Skip Navigation
Skip to contents

J Korean Acad Nurs : Journal of Korean Academy of Nursing

OPEN ACCESS

Search

Page Path
HOME > Search
6 "Staffing"
Filter
Filter
Article category
Keywords
Publication year
Authors
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
AbstractAbstract 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.

  • 13 View
  • 0 Download
Close layer
Factors Related to Nurse Staffing Levels in Tertiary and General Hospitals
Yun Mi Kim, Kyung Ja June, Sung Hyun Cho
Journal of Korean Academy of Nursing 2005;35(8):1493-1499.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2005.35.8.1493
AbstractAbstract PDF
Background

Adequate staffing is necessary to meet patient care needs and provide safe, quality nursing care. In November 1999, the Korean government implemented a new staffing policy that differentiates nursing fees for inpatients based on nurse-to-bed ratios. The purpose was to prevent hospitals from delegating nursing care to family members of patients or paid caregivers, and ultimately deteriorating the quality of nursing care services.

Purpose

To examine nurse staffing levels and related factors including hospital, nursing and medical staff, and financial characteristics.

Methods

A cross-sectional design was employed using two administrative databases, Medical Care Institution Database and Medical Claims Data for May 1-31, 2002. Nurse staffing was graded from 1 to 6, based on grading criteria of nurse-to-bed ratios provided by the policy. The study sample consisted of 42 tertiary and 186 general acute care hospitals.

Results

None of tertiary or general hospitals gained the highest nurse staffing of Grade 1 (i.e., less than 2 beds per nurse in tertiary hospitals; less than 2.5 beds per nurse in general hospitals). Two thirds of the general hospitals had the lowest staffing of Grade 6 (i.e., 4 or more beds per nurse in tertiary hospitals; 4.5 or more beds per nurse in general hospitals). Tertiary hospitals were better staffed than general hospitals, and private hospitals had higher staffing levels compared to public hospitals. Large-sized general hospitals located in metropolitan areas had higher staffing than other general hospitals. Occupancy rate was positively related to nurse staffing. A negative relationship between nursing assistant and nurse staffing was found in general hospitals. A greater number of physician specialists were associated with better nurse staffing.

Conclusions

The staffing policy needs to be evaluated and modified to make it more effective in leading hospitals to increase nurse staffing.

  • 11 View
  • 0 Download
Close layer
Impact of Increased Supply of Newly Licensed Nurses on Hospital Nurse Staffing and Policy Implications
Yunmi Kim, Sunju You, Jinhyun Kim
J Korean Acad Nurs 2017;47(6):828-841.   Published online January 15, 2017
DOI: https://doi.org/10.4040/jkan.2017.47.6.828
AbstractAbstract PDF
Abstract Purpose

This study aimed to analyze the impact of increasing the supply of newly licensed nurses on improving the hospital nurse staffing grades for the period of 2009~2014.

Methods

Using public administrative data, we analyzed the effect of newly licensed nurses on staffing in 1,594 hospitals using Generalized Estimating Equation (GEE) ordered logistic regression, and of supply variation on improving staffing grades in 1,042 hospitals using GEE logistic regression.

Results

An increase of one newly licensed nurse per 100 beds in general units had significantly lower odds of improving staffing grades (grades 6~0 vs. 7) (odds ratio=0.95, p=.005). The supply of newly licensed nurses increased by 32% from 2009 to 2014, and proportion of hospitals whose staffing grade had improved, not changed, and worsened was 19.1%, 70.1%, and 10.8% respectively. Compared to 2009, the supply variation of newly licensed nurses in 2014 was not significantly related to the increased odds of improving staffing grades in the region (OR=1.02, p=.870).

Conclusion

To achieve a balance in the regional supply and demand for hospital nurses, compliance with nurse staffing legislation and revisions in the nursing fee differentiation policy are needed. Rather than relying on increasing nurse supply, retention policies for new graduate nurses are required to build and sustain competent nurse workforce in the future.

  • 21 View
  • 0 Download
Close layer
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
AbstractAbstract PDF
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.

  • 20 View
  • 0 Download
Close layer
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.

  • 15 View
  • 0 Download
Close layer
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
AbstractAbstract 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.

  • 13 View
  • 0 Download
Close layer

J Korean Acad Nurs : Journal of Korean Academy of Nursing
Close layer
TOP