• Radiation Oncology Journal
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• 제37권4호
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• pp.249-253
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• 2019

Purpose: We aimed to analyze the trend in intensity-modulated radiation therapy (IMRT) use in Korea from 2011 to 2018. Materials and Methods: We collected data from the Health and Insurance Review and Assessment Service (HIRA) big data based on the National Health Insurance Service claims and reimbursements records using primary treatment planning codes (HD 041) for IMRT from 2011 to 2018. We analyzed the changing patterns in clinical application to specific tumor sites and regional differences in IMRT utilization. Results: The use of IMRT has exhibited an 18-fold steep rise from 1,921 patients in 2011 to 34,759 in 2018. With regard to IMRT in 2018, 70% of patients (24,248/34,759) were treated in metropolitan areas (Seoul, Incheon, and Gyeonggi Province). IMRT was most commonly used to treat breast, lung, and prostate cancers in 2018. Among these, the use of IMRT for breast cancer shows the most remarkable increase from 2016 when the National Health Insurance began to cover IMRT for all solid tumors. Conclusion: The use of IMRT is steadily increasing to treat cancer and is concentrated in metropolitan areas.

• 한국임상약학회지
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• 제18권2호
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• pp.124-131
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• 2008

The impacts of guideline for digestives on physicians' prescription of GI medication Clinical practice guidelines provide benefits to physicians, patients, and researchers. It also helps doctors to make decisions in medical services. In many countries, practice guidelines lead to activities of quality improvement and are developed using evidence based methods. This research was to assess the impacts of Korean Medical Association's guideline for digestives on the change of physicians' behavior. This study was progressed as one-group pre-test post-test quasi-experimental design using health insurance claims data. The unit of analysis was institution. Data was analyzed using paired t-test for change of prescription rate before and after the distribution of practice guidelines. And the multiple regression analysis was performed to examine the independent impact of the guideline on the prescribing rate of GI medication. Prescription rates of GI medication per claim by medical institution increased significantly, 1.98%point (from 50.27% to 52.25%) and multivariate regression analysis showed significant increase in the prescription rate of GI medication after the distribution of guideline (p<0.001). In conclusion, the distribution of guideline for digestive might not have the effects on the change in provider's behavior. Furthermore, to activate the use of practice guideline, it would be necessary to educate the contents to physicians as well as to develop practice guideline.

• Journal of Preventive Medicine and Public Health
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• 제43권1호
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• pp.42-49
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• 2010

Objectives: To compare the performance of three International Statistical Classification of Diseases, 10th Revision translations of the Charlson comorbidities when predicting in-hospital among patients with myocardial infarction (MI). Methods: MI patients ${\geq}20$ years of age with the first admission during 2006 were identified(n=20,280). Charlson comorbidities were drawn from Heath Insurance Claims Data managed by Health Insurance Review and Assessment Service in Korea. Comparisions for various conditions included (a) three algorithms (Halfon, Sundararajan, and Quan algorithms), (b) lookback periods (1-, 3- and 5-years), (c) data range (admission data, admission and ambulatory data), and (d) diagnosis range (primary diagnosis and first secondary diagnoses, all diagnoses). The performance of each procedure was measured with the c-statistic derived from multiple logistic regression adjusted for age, sex, admission type and Charlson comorbidity index. A bootstrapping procedure was done to determine the approximate 95% confidence interval. Results: Among the 20,280 patients, the mean age was 63.3 years, 67.8% were men and 7.1% died while hospitalized. The Quan and Sundararajan algorithms produced higher prevalences than the Halfon algorithm. The c-statistic of the Quan algorithm was slightly higher, but not significantly different, than that of other two algorithms under all conditions. There was no evidence that on longer lookback periods, additional data, and diagnoses improved the predictive ability. Conclusions: In health services study of MI patients using Health Insurance Claims Data, the present results suggest that the Quan Algorithm using a 1-year lookback involving primary diagnosis and the first secondary diagnosis is adequate in predicting in-hospital mortality.

• 보건행정학회지
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• 제19권3호
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• pp.1-26
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• 2009

Objectives : To identify target areas and set priorities among those areas identified for national quality evaluation. Methods : Target areas were identified from: i) analysis of the national health insurance claims data, mortality and prevalence data ii) various group surveys, including representatives from 22 medical specialty associations, 19 physician associations, QI staffs in hospital, civil organizations, and commissioners of Health Insurance Review and Assessment Service(HIRA) ⅲ) literature reviews and RAM(RAND/UCLA appropriateness method). The priority areas for national quality evaluation represented the full spectrum of health care and the entire life span. The criteria for selecting the priority areas were impact, improvability, and measurability. The priority areas were divided into three categories : short-term, mid-term, long-term. Results: Based on the group surveys and the data analysis, 46 candidates were selected as quality evaluation priority areas. 13 areas were selected as having a short-term priority areas: tuberculosis, community acquired pneumonia, stroke, ischaemic heart disease, diabetes, hypertension, chronic lower respiratory disease(asthma, chronic obstructive pulmonary disease), intensive care unit, emergency room, nosocomial infection, use of antibiotics, multiple medication and renal failure. This results suggested that we need to enlarge the target priority areas to the chronic diseases in short-term. Conclusions: The priority areas identified from the study will assist healthcare quality associated institutions as well as HIRA in selecting quality evaluation areas. It is required to develope and implement strategies for improving the quality of care within the next 5 years.

• 보건행정학회지
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• 제21권4호
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• pp.527-540
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• 2011

Some patients tend to visit tertiary hospitals instead of non-tertiary hospitals for minor illnesses, which is a chronic problem within the Korean health care delivery system. In order to reduce the number of patients with minor severity diseases unnecessarily utilizing the tertiary medical services in Korea, the Ministry of Health and Welfare raised the outpatient co-insurance rate for the tertiary hospitals in July, 2009. Another increase in the prescription drug co-insurance rate by the general and tertiary hospitals is scheduled to take place in the second half of 2011. An increase in copayments may discourage the utilization rate of medical services among the underprivileged or patients who require complicated procedures. This study aims to analyze the diabetic patients' utilization rates of tertiary hospitals according to the Comorbidity score. Diabetic patients' data was gathered from the Health Insurance Claims Records in the Health Insurance Review & Assessment Service between 2007-2009. Comorbidity scores are measured by the Charlson Comorbidity Index and the Elixhauser Index. Chi-square and logistic regressions were performed to compare the utilization rates of both insulin-dependents (n=94,026) and non-insulin-dependents (n=1,424,736) in tertiary hospitals. The higher Comorbidity outcomes in the insulin-dependent diabetic patients who didn't visit tertiary hospitals compared to those who did, was expected. However, after adjusting the gender, age, location, first visits and complications, the groups that scored >=1 on the comorbidity scale utilized the tertiary hospitals more than the O score group. Non-insulin-diabetic patients with higher Comorbidity scores visited tertiary hospitals more than patients who received lower grades. This study found that patients suffering from severe diabetes tend to frequently visit the tertiary hospitals in Korea. This result implied that it is important for Korea to improve the quality of its primary health care as well as to consider a co-insurance rate increase.

• 보건행정학회지
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• 제21권2호
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• pp.195-212
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• 2011

Objectives: This study investigates the relationship between nurse staffing levels and differences in patient outcomes in terms of average length of stay, in-hospital mortality rate and 30-day death rate in order to evaluate the effectiveness of a policy that differentiates fees for inpatients on the basis of nurse-to-bed ratios. Methods: We obtained information on inpatients from health insurance claims data published by the Health Insurance Review and Assessment Service(HIRA) in 2008, organizational factors(type of hospital, ownership) from the records of the hospital report system in 2008, and nurse staffing levels, which were graded on a scale of 1 to 7, from data compiled between December 15, 2007, and September 20, 2008. The data were segregated according to type of hospital and quarter and finally 3,517 records of 1,182 hospitals were analyzed using multi-level analysis. Results: The average length of stay in grade 1~6 hospitals was lower than that in grade 7 ones, but the difference was much below one day. No significant difference was found among different grades in tertiary hospitals. Further, variations in staffing levels did not result in any significant difference in the in-hospital mortality rate and 30-day death rate. Conclusions: High nurse staffing levels did not result in better patient outcomes compared with low staffing levels. We therefore recommend modifying the above nurse staffing policy so as to make it more effective in improving patient outcomes.

• Journal of Korean Medical Science
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• 제33권53호
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• pp.343.1-343.8
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• 2018

Background: Linkage of public healthcare data is useful in stroke research because patients may visit different sectors of the health system before, during, and after stroke. Therefore, we aimed to establish high-quality big data on stroke in Korea by linking acute stroke registry and national health claim databases. Methods: Acute stroke patients (n = 65,311) with claim data suitable for linkage were included in the Clinical Research Center for Stroke (CRCS) registry during 2006-2014. We linked the CRCS registry with national health claim databases in the Health Insurance Review and Assessment Service (HIRA). Linkage was performed using 6 common variables: birth date, gender, provider identification, receiving year and number, and statement serial number in the benefit claim statement. For matched records, linkage accuracy was evaluated using differences between hospital visiting date in the CRCS registry and the commencement date for health insurance care in HIRA. Results: Of 65,311 CRCS cases, 64,634 were matched to HIRA cases (match rate, 99.0%). The proportion of true matches was 94.4% (n = 61,017) in the matched data. Among true matches (mean age 66.4 years; men 58.4%), the median National Institutes of Health Stroke Scale score was 3 (interquartile range 1-7). When comparing baseline characteristics between true matches and false matches, no substantial difference was observed for any variable. Conclusion: We could establish big data on stroke by linking CRCS registry and HIRA records, using claims data without personal identifiers. We plan to conduct national stroke research and improve stroke care using the linked big database.

• 대한의사협회지
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• 제61권11호
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• pp.687-698
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• 2018

Inappropriate antibiotic use significantly contributes to antibiotic resistance, resulting in reduced antibiotic efficacy and an increased burden of disease. The objective of this study was to investigate the characteristics of prescribers whose antibiotics use was high and to explore factors affecting the use of antibiotics by medical institutions. This study analyzed the National Health Insurance claims data from 2015. Antibiotic prescription data were analyzed in terms of the number of defined daily doses per 1,000 patients per day, according to the World Health Organization anatomical-therapeutic-chemical classification and methodologies for measuring the defined daily dose. We investigated the characteristics of prescribers and medical institutions with high antibiotic use. Multivariate regression analyses were performed on the basis of characteristics of the medical institution (number of patients, type of medical institution [hospital or clinic], age of the physician, etc.). The number of patients and number of beds were found to be significant factors affecting antibiotic use in hospitals, and the number of patients, region, and medical department were significant factors affecting antibiotic use at the level of medical institutions. These findings are expected to help policy-makers to better target future interventions to promote prudent antibiotic prescription.

• 보건행정학회지
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• 제25권3호
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• pp.197-206
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• 2015

Background: The purpose of this study was to propose a method for developing a measure of hospital-wide all-cause risk-standardized readmissions using administrative claims data in Korea and to discuss further considerations in the refinement and implementation of the readmission measure. Methods: By adapting the methodology of the United States Center for Medicare & Medicaid Services for creating a 30-day readmission measure, we developed a 6-step approach for generating a comparable measure using Korean datasets. Using the 2010 Korean National Health Insurance (NHI) claims data as the development dataset, hierarchical regression models were fitted to calculate a hospital-wide all-cause risk-standardized readmission measure. Six regression models were fitted to calculate the readmission rates of six clinical condition groups, respectively and a single, weighted, overall readmission rate was calculated from the readmission rates of these subgroups. Lastly, the case mix differences among hospitals were risk-adjusted using patient-level comorbidity variables. The model was validated using the 2009 NHI claims data as the validation dataset. Results: The unadjusted, hospital-wide all-cause readmission rate was 13.37%, and the adjusted risk-standardized rate was 10.90%, varying by hospital type. The highest risk-standardized readmission rate was in hospitals (11.43%), followed by general hospitals (9.40%) and tertiary hospitals (7.04%). Conclusion: The newly developed, hospital-wide all-cause readmission measure can be used in quality and performance evaluations of hospitals in Korea. Needed are further methodological refinements of the readmission measures and also strategies to implement the measure as a hospital performance indicator.

• 한국임상약학회지
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• 제22권1호
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• pp.81-86
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• 2012

This study was aimed to examine the prescribing patterns of antivirals in outpatients with chronic hepatitis B (CHB), using National Health Insurance adjudicated claims data (total 1,426,065 claims) dated March 19, 2008 submitted from nationwide healthcare providers to Health Insurance Review and Assessment Service. From the data, there were 2,965 claims with CHB diagnosis (ICD-10 code B18.0 and B18.1), and 44.2% (1,311 claims) of the CHB related claims included antivirals such as lamivudine, clevudine, adefovir and entecavir. Lamivudine, adefovir, clevudine and entecavir shared 54.9%, 19.9%, 13.2% and 11.9%, respectively, among antiviral prescriptions. Adefovir and entecavir 1mg presumed as the 2nd line therapy for HBV resistant cases were shared 23.3% of overall antiviral prescriptions. There were statistically significant difference in prescription patterns according to age and institution type: Lamivudine usage was higher in younger (< 20 years old) and older age group (> 70 years old) than the others (p = 0.016), and adefovir and entecavir, which were relatively newer antivirals, had higher prescription rates in higher level of institutions such as tertiary hospitals than the others (p < 0.001). This study would be of help to make an appropriate drug therapy plan for patients with CHB.