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.

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.

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).

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.

In this study the costs and benefits of a home health care program were examined to evaluate the economic feasibility of the program.

The study participants included 349 patients in the community who had been registered at a home health care center for 5 years. The costs and benefits of the program were analyzed using performance data and health data. The benefits were classified as the effects of pressure ulcer care, skin wound care and catheters management. The program effect was evaluated on the change of progress using transition probability. Benefits were divided into direct benefit such as the savings in medical costs and transportation costs, and indirect benefits which included saving in productivity loss and lost future income.

Participants had an average of 1.82 health problems. The input cost was KRW 36.8~153.3 million, the benefit was KRW 95.4~279.7 million. Direct benefits accounted for 53.4%~81.2%, and was higher than indirect benefits. The net benefit was greater than 0 from 2006 to 2009, and then dropped below 0 in 2010.

The average net benefit during 5 years was over 0 and the benefit cost ratoi was over 1.00, indicating that the home health care program si economical.

The purpose of this study was to propose optimal hospitalization fees for nurse staffing levels and to improve the current nursing fee policy.

A break-even analysis was used to evaluate the impact of a nursing fee policy on hospital's financial performance. Variables considered included the number of beds, bed occupancy rate, annual total patient days, hospitalization fees for nurse staffing levels, the initial annual nurses' salary, and the ratio of overhead costs to nursing labor costs. Data were collected as secondary data from annual reports of the Hospital Nursing Association and national health insurance.

The hospitalization fees according to nurse staffing levels in general hospitals are required to sustain or decrease in grades 1, 2, 3, 4, and 7, and increase in grades 5 and 6. It is suggested that the range between grade 2 and 3 be sustained at the current level, the range between grade 4 and 5 be widen or merged into one, and the range between grade 6 and 7 be divided into several grades.

Readjusting hospitalization fees for nurse staffing level will improve nurse-patient ratio and enhance the quality of nursing care in hospitals. Follow-up studies including tertiary hospitals and small hospitals are recommended.

This paper analyzed alternative methods of calculating the conversion factor for nurse-midwife's delivery services in the national health insurance and estimated the optimal reimbursement level for the services.

A cost accounting model and Sustainable Growth Rate (SGR) model were developed to estimate the conversion factor of Resource-Based Relative Value Scale (RBRVS) for nurse-midwife's services, depending on the scope of revenue considered in financial analysis. The data and sources from the government and the financial statements from nurse-midwife clinics were used in analysis.

The cost accounting model and SGR model showed a 17.6-37.9% increase and 19.0-23.6% increase, respectively, in nurse-midwife fee for delivery services in the national health insurance. The SGR model measured an overall trend of medical expenditures rather than an individual financial status of nurse-midwife clinics, and the cost analysis properly estimated the level of reimbursement for nurse-midwife's services.

Normal vaginal delivery in nurse-midwife clinics is considered cost-effective in terms of insurance financing. Upon a declining share of health expenditures on midwife clinics, designing a reimbursement strategy for midwife's services could be an opportunity as well as a challenge when it comes to efficient resource allocation.