The purpose of this study was to discuss the history of, and concerns regarding, the newly amended criteria of occupational cerebrovascular or cardiovascular diseases (CCVDs). Since the early 1990s, CCVDs have been the second most common occupational disease, despite fluctuations in their criteria. The first issue was the deletion of cerebral hemorrhage on duty as a recognized occupational disease in 2008. The second issue was the obscurity regarding definitions of an acute stressful event (within 24 hr before disease occurrence), short-term overwork (within 1 week), and chronic overwork (for 3 or more months). In this amendment, chronic overwork was defined as work exceeding 60 hr per week. If the average number of weekly working hours does not exceed 60 hr, night work, physical or psychological workload, or other risk factors should be considered for the recognition of occupational CCVDs. However, these newly amended criteria still have a few limitations, considering that there is research evidence for the occurrence of disease in those working fewer than 60 hr per week, and other risk factors, particularly night work, are underestimated in these criteria. Thus, we suggest that these concerns be actively considered during future amendment and approval processes.
Cardiovascular Diseases/*economics ; Cerebrovascular Disorders/*economics ; Humans ; Insurance, Health/economics ; Occupational Diseases/*economics ; Organization and Administration ; Republic of Korea ; Work Capacity Evaluation ; Workers' Compensation/*economics ; *Workload

PURPOSE: The purpose of this study was to develop a resource-based relative value scale (RBRVS) and its conversion factor for advanced nursing practices carried out by critical care nurse practitioners (CCNP) in intensive care units. METHODS: The methodology was developed by calculating CCNP's RBRVS for 32 advanced nursing services based on CCNP's workload and time spent in the context of national health insurance. A cost analysis was performed to estimate the conversion factor of CCNP's RBRVS. The share of CCNP's contribution to fee-for-service in intensive care units was also analyzed. RESULTS: Calculation of the RBRVS of 32 advanced nursing practices showed a range of points from 100.0 to 1,181.4 and an average of 296.1 points. The relevant conversion factor for advanced nursing practices in CCNP were estimated at 37.3-48.4 won. The contribution rate of CCNP's advanced nursing practices in the relative value scale of the national health insurance was estimated at 0.1-31.3%. CONCLUSION: Measuring the economic value of advanced nursing services will be a basis for esta-blishing a reimbursement system for CCNP's practices and thus encourage a social demand for advanced nurse practitioners.
Adult ; Advanced Practice Nursing/*economics ; Costs and Cost Analysis ; Humans ; Intensive Care Units ; National Health Programs ; Nurse Practitioners/*economics ; *Relative Value Scales ; Workload

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.
Analysis of Variance ; Female ; Humans ; Intensive Care Units/economics/*manpower/statistics & numerical data ; Intensive Care Units, Neonatal/economics/*manpower/statistics & numerical data ; Nursing Staff, Hospital/economics/*supply & distribution ; Personnel Staffing and Scheduling/*economics ; Workload

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.
Workload/economics ; Program Evaluation ; Personnel Staffing and Scheduling/*economics ; Nursing Staff, Hospital/economics/*supply & distribution ; Logistic Models ; Korea ; Humans ; *Hospital Charges ; *Health Policy ; Cross-Sectional Studies ; Bed Occupancy/economics ; Analysis of Variance

BACKGROUND: This study compared the estimated costs and times required for ABO/Rh(D) typing and unexpected antibody screening using an automated system and manual methods. METHODS: The total cost included direct and labor costs. Labor costs were calculated on the basis of the average operator salaries and unit values (minutes), which was the hands-on time required to test one sample. To estimate unit values, workflows were recorded on video, and the time required for each process was analyzed separately. RESULTS: The unit values of ABO/Rh(D) typing using the manual method were 5.65 and 8.1 min during regular and unsocial working hours, respectively. The unit value was less than 3.5 min when several samples were tested simultaneously. The unit value for unexpected antibody screening was 2.6 min. The unit values using the automated method for ABO/Rh(D) typing, unexpected antibody screening, and both simultaneously were all 1.5 min. The total cost of ABO/Rh(D) typing of only one sample using the automated analyzer was lower than that of testing only one sample using the manual technique but higher than that of testing several samples simultaneously. The total cost of unexpected antibody screening using an automated analyzer was less than that using the manual method. CONCLUSIONS: ABO/Rh(D) typing using an automated analyzer incurs a lower unit value and cost than that using the manual technique when only one sample is tested at a time. Unexpected antibody screening using an automated analyzer always incurs a lower unit value and cost than that using the manual technique.
ABO Blood-Group System/blood ; Antibodies/analysis ; Automation ; Blood Banks/*economics/*standards ; Blood Grouping and Crossmatching/*economics/instrumentation ; Costs and Cost Analysis ; Humans ; Rh-Hr Blood-Group System/blood ; *Workflow ; Workload

There is a paucity of available research on knowledge of orthopaedic implant costs and healthcare schemes among orthopaedic residents. With the rising healthcare costs in Singapore, it is imperative for residents, who are the future surgeons, to understand these issues in order to provide proper counselling and cost-effective management. This study aimed to quantify how accurately they understood these issues and determine if senior residents had better knowledge given their increased experience. An online survey was administered to all orthopaedic residents within a residency programme. There was poor knowledge of implant costs and healthcare schemes among residents. Junior residents fared better at healthcare schemes, while senior residents fared better at estimation of implant costs. Education on these issues should be incorporated into the residency programme to bring about more holistic and cost-conscious clinicians.
Attitude of Health Personnel ; Clinical Competence ; Cross-Sectional Studies ; Education, Medical, Graduate ; Health Care Costs ; Health Knowledge, Attitudes, Practice ; Humans ; Internship and Residency ; Orthopedics ; economics ; education ; Physicians ; Prostheses and Implants ; economics ; Singapore ; Surveys and Questionnaires ; Workload