In South Korea, female individuals in their forties show a high rate of incidence, with approximately 13% of the patients being <40 years. This statistic is more than twice as high as that in Western countries. It is therefore necessary to identify the risk factors for breast cancer incidence by age and economic activity participation status. Women aged 30 to 59-whether breast cancer patients or those in the control group and having no breast cancer-were appraised from the sample cohort database. The data were analyzed using the statistical software R36.2. To identify the factors affecting breast cancer incidence, the degree of association was determined with HR and 95% CI by means of cox regression analysis. As for the socio-demographic variables, the older the individual, the higher the risk of breast cancer incidence becomes. As for the economic activity variables, those who were dependents (unemployed) and who had higher income (medium and high) were at higher risk of breast cancer incidence, which was statistically significant. The income-adjusted HR (model 1) for breast cancer development associated with the economic activity was 1.452 (95% CI, 1.19-1.77). The body mass index and alcohol intake-adjusted HR (model 2) was 1.431 (95% CI, 1.18-1.74). One needs to pay attention to policy plans regarding women's quality of life, as well as to the risk of breast cancer incidence by their economic activity. In other words, policies need to give post care, instead of focus on early detection and cancer treatment.
Background: The treatment goal for patients with chronic hepatitis B infection is to prevent progression of the disease to cirrhosis and hepatocellular carcinoma. Current therapies include standard and pegylated interferon-alfa and nucleoside/nucleotide analogues: lamivudine, adefovir, entecavir, telbivudine, clevudine, and tenofovir. This study aims to analyze changes in the prescribing patterns of chronic hepatitis B (CHB) medications in South Korea between 2013 and 2014. Methods: A cross-sectional study was conducted using National Patients Sample data compiled by the Health Insurance Review and Assessment Service from 2013 and 2014. Patients with CHB were identified with Korean Standard Classification of Diseases code-6 (B18.0 and B18.1) and those who were maintaining active prescriptions with CHB medications covering the index date (December $1^{st}$, each year) were included. The utilization of antiviral therapy was investigated during 2013 and 2014. Results: A total of 4,204 and 4,552 patients in 2013 and 2014 respectively, were included in the analysis. The proportion of male patients was two of third and the patients 41-60 years old accounted for 60% of all analyzed patients. The most utilized drug was entecavir (55.1% in 2013 and 44.8% in 2014) and the second most utilized drug was tenofovir in both years (18.8% in 2013 and 29.0% in 2014). The percentage of combination therapy was 13.6% and 13.1% in 2013 and 2014, respectively. The proportion of tenofovir prescriptions was increased in 2014 compared with 2013. Conclusion: With the development of new drugs and the changes in clinical practice guidelines, the prescription pattern of the antiviral agents for patients with CHB has changed. The rate of utilization of tenofovir has increased.
This study analyzes the impact of competitions clinics on the total treatment cost and anti-biotics prescription rate. The result of implementing the basic statistics, correlations, and regression analysis by facilitating the evaluation data by Health Insurance Review & Assessment Service in 2015 for acute otitis media in children is shown as follows. First, there is a significant difference for each si-gun-gu for the competition index between total treatment cost and clinics, but there is almost no significant difference for the anti-biotics prescription rate. Second, competition in clinics has statistically important impact on the total examination cost And, third, competition in clinics has no statistically important impact on the anti-biotics prescription rate. There is a need for additional studies on re-examination rate, treatment cost per visit and so forth in order to clarify other factors of competition for medical institutions impacting on the physician behavior in the future studies.
Kim, Jae-Hyun;Park, Eun-Cheol;Kim, Tae Hyun;Lee, Kwang Soo;Kim, Young Hoon;Lee, Sang Gyu
Health Policy and Management
/
v.26
no.2
/
pp.107-114
/
2016
Background: Over the last few decades, because hospitals in South Korea also have undergone dramatic changes, Korean hospitals traditionally have provided specialized health care services in the health care market. Inner Herfindahl-Hirschman Index (IHI) measures hospital caseloads based on patient proportions, independent of patient volumes. However, IHI that rely solely on patient proportions might be problematic for larger hospitals that provide a high number of diagnosis categories, as the patient proportions in each category are naturally relatively smaller in such hospitals. Therefore, recently developed novel measure, category medical specialization (CMS) is based on patient volumes as well as patient proportions. Methods: We examine the distribution of hospital specialization score by hospital size and investigate association between each hospital specialization and length of stay per case and hospital cost per case using Korean National Health Insurance Service-cohort sample data from 2002 to 2013. Results: Our results show that IHI show a decreasing trend according to the number of beds and hospital type but CMS show an increasing trend according to the number of beds and hospital type. Further, inpatients admitted at hospitals with higher IHI and CMS had a shorter length of stay per case (IHI: B=-0.104, p<0.0001; CMS: B=-0.044, p=0.001) and inpatients admitted at hospitals with higher IHI and CMS had a shorter hospital cost per case (IHI: B=-0.110, p=0.002; CMS: B=-0.118, p=<0.0001). Conclusion: This study may help hospital policymakers and hospital administrators to understand the effects of hospital specialization strategy on hospital performance under recent changes in the Korean health care environment.
Objectives : This study describes trends in the socioeconomic disparities in breast cancer screening among US women aged 40 or over, from 2000 to 2005. We assessed 1) the disparities in each socioeconomic dimension; 2) the changes in screening mammography rates over time according to income, education, and race; and 3) the sizes and trends of the disparities over time. Methods : Using data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2000 to 2005, we calculated the age-adjusted screening rate according to relative household income, education level, health insurance, and race. Odds ratios and the relative inequality index (RII) were also calculated, controlling for age. Results : Women in their 40s and those with lower relative incomes were less likely to undergo screening mammography. The disparity based on relative income was greater than that based on education or race (the RII among low-income women across the survey years was 3.00 to 3.48). The overall participation rate and absolute differences among socioeconomic groups changed little or decreased slightly across the survey years. However, the degree of each socioeconomic disparity and the relative inequality among socioeconomic positions remained quite consistent. Conclusions : These findings suggest that the trend of the disparity in breast cancer screening varied by socioeconomic dimension. Continued differences in breast cancer screening rates related to income level should be considered in future efforts to decrease the disparities in breast cancer among socioeconomic groups. More focused interventions, as well as the monitoring of trends in cancer screening participation by income and education, are needed in different social settings.
Objectives: This study was conducted to determine the incidence and risk factors of myocardial infarction (MI) and stroke in farmers compared to the general population and to establish 5-year prediction models. Methods: The farmer cohort and the control cohort were generated using the customized database of the National Health Insurance Service of Korea database and the National Sample Cohort, respectively. The participants were followed from the day of the index general health examination until the events of MI, stroke, or death (up to 5 years). Results: In total, 734 744 participants from the farmer cohort and 238 311 from the control cohort aged between 40 and 70 were included. The age-adjusted incidence of MI was 0.766 and 0.585 per 1000 person-years in the farmer and control cohorts, respectively. That of stroke was 0.559 and 0.321 per 1000 person-years in both cohorts, respectively. In farmers, the risk factors for MI included male sex, age, personal history of hypertension, diabetes, current smoking, creatinine, metabolic syndrome components (blood pressure, triglycerides, and high-density lipoprotein cholesterol). Those for stroke included male sex, age, personal history of hypertension, diabetes, current smoking, high γ-glutamyl transferase, and metabolic syndrome components (blood pressure, triglycerides, and high-density lipoprotein cholesterol). The prediction model showed an area under the receiver operating characteristic curve of 0.735 and 0.760 for MI and stroke, respectively, in the farmer cohort. Conclusions: Farmers had a higher age-adjusted incidence of MI and stroke. They also showed distinct patterns in cardiovascular risk factors compared to the general population.
Because of the rising healthcare costs, there is a growing need for developing efficiency indicators for medical resources use and measuring efficiency of healthcare providers and healthcare systems using them. In this study, we aimed to develop efficiency indicators for medical resources use by means of Delphi technique. We systematically reviewed the existing measures of medical resource use. Thirty nine indicators were selected as a candidates across the six domains: medical personnel, medical equipment, medical facilities, ethical management, resource efficiency, and drug use. To develop efficiency indicators with professional consensus, a 2-round Delphi survey was conducted among 29 professional experts. The following indicators were selected based on the Delphi survey results: adjusted number of the patient per day and level of the nurse number medical personnel in medical personnel domain; the number of the scan a professional physician and the quality of the scan in medical equipment domain; bed utilization rate in medical facility domain; drug price reported pharmaceutical price by medical institutions, medical fee billing transparency, and medical care appropriateness in ethical management domain; costliness index in resource efficiency domain; and utilization of high cost drug and items per prescription in drug use domain. The efficiency indicators could provide valid information about efficiency of healthcare providers and healthcare systems with respect to their resources use and facilitate policies to improve their efficiency.
This study aim to examine the optimum population in Korea, which has the lowest fertility rate in the world. This study has significance because this rapid decline in the fertility rate is expected to bring the decrease of the population and unbalance in the population composition in Korea. From the social welfare perspective, the optimum population is guided by maximization of the social welfare level per person or the social welfare level in a society. The optimum population can be defined as follows: The proportion of older adults 65 and over is 15-17%, the proportion of work force is 64-69%, the index of aging is 72-104. Within the current population and population composition, the optimum population is estimated as 4.85-4.95 million. These findings imply that we need to remove causes of low fertility rate and prepare for policies encouraging immigration of labor force from foreign countries. In addition, policies and programs where children can be grown up in good environments and women and older adults can participate in labor force should be established.
Purpose: The purpose of this study is to examine the difference of direct nursing activity and patient outcomes as mortality rate, complication rate, readmission rate and length of stay related to graded fee of nursing management for inpatient. Method: The subjects of this study were 44 general hospitals with more than 500 beds. Data totaled to 86,044 claims provided to inpatients in Jan. 2001 requested by an electronic data interchange from a Health Insurance Review Agency. The data was analyzed by SPSS win(ver.10.0) and statistical methods used were frequency, one-way ANOVA, $X^2$-Test and regression. Result: Synthetic judgment through performance index and 95% confidence interval, direct nursing activity showed to provided adequate quality of nursing care on 2nd, 3rd, 4th and 6th nursing degree. Also, patient outcomes showed difference by graded fee of nursing management for inpatient. Mortality rate of 2nd was the lowest with P.I. 67.9, 3rd, 5th, 6th, 4th in order. In case of complication rate, 2nd, 3rd and 4th were lower than other nursing degree. Readmission rate of 4th and 5th was the lowest. Length of stay of 2nd was the shortest with P.I. 88.3, 3rd, 4th, 5th, 4th, 6th in order. Conclusion: The findings from this study showed that, the higher nurse-to-patient ratio, the greater amount of direct nursing care activity for the patient. Also, the more direct nursing activities influenced a lower mortality rate, complication rate and readmission rate, shorter length of stay.
Purpose: To analyze the structure of Korean nurse labor market and examine its effect on hospital nurse staffing. Methods: Secondary data were obtained from Statistics Korea, Education Statistics, and Health Insurance Review & Assessment Service and Patient Survey. Intensity of monopsony in the nurse labor market was measured by Herfindahl Hirshman Index (HHI). Hospital nurse staffing level was divided into high and low. While controlling for confounding factors such as inpatient days and severity mix of patients, effects of characteristics of nurse labor markets on nurse staffing levels were examined using multi-level logistic regressions. Results: For characteristics of nurse labor markets, metropolitan areas had high intensity of monopsony, while the capital area had competitive labor market and the unemployed nurse rate was higher than other areas. Among hospital characteristics, bed occupancy rate was significantly associated with nurse staffing levels. Among characteristics of nurse labor markets, the effect of HHI was indeterminable. Conclusion: The Korean nurse labor market has different structure between the capital and other metropolitan areas. But the effect of the structure of nurse labor market on nurse staffing levels is indeterminable. Characteristics such as occupancy rate and number of beds are significantly associated with nurse staffing levels. Further study in support of the effect of nurse labor market is needed.
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