• 대한간호학회지
• /
• 제39권4호
• /
• pp.574-583
• /
• 2009

Purpose: 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. Methods: 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. Results: 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. Conclusion: 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.

• 대한간호
• /
• 제19권3호통권106호
• /
• pp.19-20
• /
• 1980

• 대한간호
• /
• 제16권2호통권88호
• /
• pp.13-22
• /
• 1977

• 대한간호
• /
• 제16권2호통권88호
• /
• pp.23-26
• /
• 1977

• 보건행정학회지
• /
• 제17권2호
• /
• pp.68-90
• /
• 2007

Nurse staffing level is an important factor that influences the quality of health service and patient outcomes. This study was carried out to examine the current state of acute hospital nurse staffing and find out factors that affect the nurse staffing level. Nurse staffing of individual hospitals was measured using the number of registered nurses per 100 beds. Descriptive and multiple regression analyses were conducted using 592 acute care hospitals' data. Regression model included structure factors such as referral level, ownership, medical and general staffing, and financial outcome factors such as occupancy rate, inpatient and outpatient revenues. Market characteristics included strength of competition, supply of nurses, and income and health status level of consumers. The average number of nurses per 100 beds was 28 and showed a great variation according to the referral level. Regression model explained this variation as much as 76.87%. Hospital structure variables which affecting the hospital nurse staffing level positively were ICU bed ratio, the staffing level of specialist, training doctor and employees except doctor and nursing personnel, while the negative factor was nurse aid staffing level. General hospitals employed more nurses than hospitals. Among outcome characteristics, occupancy rate and the amount of health insurance inpatient revenue affected positively on the hospital nurse staffing level. The more supply of the new nurse and the higher consumer income and health status in the medical service markets, the more nurses were employed by the medical institutes. According to the study result, hospitals employed more nurses when they had more financial incentive by increasing nurses. This means appropriate hospital incentive policy and regulation policy, which hospital violate nurse staffing level have to pay penality, should be needed. Clarifying job description between nurses and nurse aids and the reentry program for unemployed experienced nurses will be helpful to increase nurse staffing level.

• 보건행정학회지
• /
• 제17권2호
• /
• pp.18-32
• /
• 2007

The purpose of this study was a quantitative analysis for the influence of physician's assistants on national health insurance revenue and number of patients in clinic. The data was derived from the Korean national health insurance. That was complete enumeration. Dependent variables were measured by national health insurance revenue and number of patients. Independent variables were reported physician's assistants that the number of nurse, nurse-aid, technologist of clinical laboratory, physical therapist and radiologist in clinic. Confounding variables were classified by demand(region, number of inhabitants, number of clinics, number of bed per a hundred thousand persons) and supply(sex and age of representative, number of bed, subjective of medical treatment). On the multiple regression analyses, the physician's assistants that nurse, nurse-aid, technologist of clinical laboratory and physical therapist were statistically significant for outputs. But radiologist was statistically significant only for number of patient.

• 간호행정학회지
• /
• 제17권3호
• /
• pp.327-335
• /
• 2011

Purpose: The objective of this study was to analyze the effects of medical staffing level as bed-to-medical staff ratio on patient outcomes as length of stay (LOS) among hospitals in Korea. Methods: Two hundred and fifty one hospitals participated in the study between January and March 2008. Data for the study was requested by an electronic data interchange from the Health Insurance Review Agency in 2008. In data analysis, SPSS WIN 15.0 program was utilized for descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression. Results: The mean score for length of stay was 13.6 days. The mean of operating bed-to-nurse ratio was 7.93:1. The predicting factors for LOS were bed-to-nurse's aide ratio, bed-to doctor's ratio, severely ill patient rate, and hospital type. These factors explained 28.9% of the variance in patient outcomes. Conclusion: This study results indicate that the relationship between medical staffing level and patient outcomes is important in the improvement of the quality of patient care. Thus, improvements in the quality of the nurse practice environment could improve patient outcomes for hospitalized patients.

• 대한간호
• /
• 제16권2호통권88호
• /
• pp.27-31
• /
• 1977

• 대한간호
• /
• 제16권2호통권88호
• /
• pp.32-36
• /
• 1977

• 대한간호
• /
• 제16권2호통권88호
• /
• pp.37-40
• /
• 1977