• Quality Improvement in Health Care
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• v.27 no.2
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• pp.73-82
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• 2021

Purpose: This study aims to examine the quality of tuberculosis (TB) care after the 1st to 3rd national quality assessment (QA) program for TB healthcare service in Korea was conducted. Methods: We analyzed Health Insurance Review & Assessment Service (HIRA) claims data of new TB patients during the period of January to June from 2018-2020. The new TB patients were defined as TB patients reported to Korea Centers for Disease Control and Prevention Agency (KCDA). The unit of analysis was the patient. Chi-square tests were used to analyze the differences in indicator value according to the types of medical facilities. The QA indicators of TB care were divided into 3 areas consisting of the following 7 quality indicators: 4 indicators of diagnosis test (the rate of acid-fast bacilli smear, the rate of acid-fast bacilli culture, the rate of Mycobacterium tuberculosis-polymerase chain reaction, drug susceptibility test), 1 compliance of treatment guideline, and 2 indicators of care management of TB patients (encounter rate, day of therapy). Results: The QA program for TB care was conducted among 8,246 patients from 534 facilities in 2020. The value of the 7 quality indicators was shown to increase as a result of the QA program. The indicators of the diagnostic test were all higher than 95%, with the exception of the drug susceptibility test which was 84.8%. Both indicators for care management of TB patients were 88.5%. Conclusion: The quality of TB care has been improving with the implementation of the QA program. In order to continue to improve the quality of TB care, it will be necessary to disclose the results of the QA program in medical facilities in the future.

• Health Policy and Management
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• v.30 no.3
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• pp.311-325
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• 2020

Background: Health statistics of pharmaceutical use and expenditure are essential to make and implement evidence-based pharmaceutical policy. This study aims to demonstrate the methods and results of pharmaceutical consumption and sales in 2018 according to the sources and methods given by the Organization for Economic Cooperation and Development (OECD). Methods: The medication list contains 39,346 medicines both reimbursed and non-reimbursed by the National Health Insurance in 2018. We used the therapeutic categories based on Anatomic Therapeutic Chemical Classification of World Health Organization. This study analyzed National Health Insurance claims data and supply data generated from wholesalers to health care facilities. The indicators are defined daily dose (DDD), per 1,000 inhabitants per day and US$ per capita. Results: In South Korea, the number of medications to which DDD were assigned was 18,055 and it was 45.9% of the total number of medications on the list. The consumption in anti-infective for systemic use (J) and musculo-skeletal system (M) was higher than the mean consumption among the OECD countries. The pharmaceutical sales per person in Korea was also higher than the mean sales per person across the OECD countries. Conclusion: We sought to explain the methods to produce pharmaceutical consumption and sales statistics which we had submitted annually to OECD. Considering the characteristics of pharmaceutical statistics, a direct comparison should be approached with caution. Since the growth in pharmaceutical spending has greatly increased over the past decade, we need to monitor pharmaceutical consumption and expenditure consistently.

• Health Policy and Management
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• v.19 no.2
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• pp.51-70
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• 2009

Background : Previous studies have reported that enhanced continuity of care prevented a sudden worsening in progress among chronic disease patients, and as a result was favorable for efficient spending of health care funds. This study aims to estimate the continuity of care of Korean with diabetes and to identify factors affecting the continuity of care. Methods : This study used the Korean National Health Insurance Claims Database which includes E11 (ICD-10) as a primary or secondary disease as of 2006. Study population is 1,160,725 type 2 diabetics (20-84 years). Continuity of Care Index (COC), Modified, Modified Continuity Index (MMCI), and Most Frequent Provider Continuity (MFPC) were used as indexes of continuity of care. Results : The continuity of care in the study population was $0.94{\pm}0.10$ as calculated by MMCI, $0.91{\pm}0.16$ as calculated by MFPC and $0.86{\pm}0.23$ as calculated by COC. The lower continuity of care was shown in the patients who were female, 65 and over years old, Medical Aid recipients, 13 times or more visitors, hospital users as main attending medical institution, patients experienced hospitalizations or comorbidities. Conclusion : The continuity of care for adult patients with type 2 diabetes was high in Korea, and showed variation according to patients' characteristics. This result provides empirical evidence for policymakers to develop or strengthen programs for managing patients showing low continuity of care.

• Health Policy and Management
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• v.19 no.3
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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.

• Journal of Preventive Medicine and Public Health
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• v.42 no.4
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• pp.267-273
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• 2009

Objectives : To compare the performance of three comorbidity measurements (Charlson comorbidity index, Elixhauser s comorbidity and comorbidity selection) with the effect of different comorbidity lookback periods when predicting in-hospital mortality for patients who underwent percutaneous coronary intervention. Methods : This was a retrospective study on patients aged 40 years and older who underwent percutaneous coronary intervention. To distinguish comorbidity from complications, the records of diagnosis were drawn from the National Health Insurance Database excluding diagnosis that admitted to the hospital. C-statistic values were used as measures for in comparing the predictability of comorbidity measures with lookback period, and a bootstrapping procedure with 1,000 replications was done to determine approximate 95% confidence interval. Results : Of the 61,815 patients included in this study, the mean age was 63.3 years (standard deviation: ${\pm}$10.2) and 64.8% of the population was male. Among them, 1,598 2.6%) had died in hospital. While the predictive ability of the Elixhauser's comorbidity and comorbidity selection was better than that of the Charlson comorbidity index, there was no significant difference among the three comorbidity measurements. Although the prevalence of comorbidity increased in 3 years of lookback periods, there was no significant improvement compared to 1 year of a lookback period. Conclusions : In a health outcome study for patients who underwent percutaneous coronary intervention using National Health Insurance Database, the Charlson comorbidity index was easy to apply without significant difference in predictability compared to the other methods. The one year of observation period was adequate to adjust the comorbidity. Further work to select adequate comorbidity measurements and lookback periods on other diseases and procedures are needed.

• Health Policy and Management
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• v.21 no.4
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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.

• Health Policy and Management
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• v.21 no.2
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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 the Korean Medical Association
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• v.61 no.11
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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.

• Journal of Korean Medical Science
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• v.33 no.53
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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.

• Quality Improvement in Health Care
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• v.28 no.2
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• pp.30-38
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• 2022

Purpose: The Health Insurance Review and Assessment Service (HIRA) in South Korea initiated a quality assessment (QA) program for blood transfusion healthcare services in 2020 to ensure patient safety and appropriate blood use. This study examines the quality of blood transfusion services since the first national QA program for blood transfusion services in Korea. Methods: We analyzed HIRA claims and QA investigation data based on inpatient medical records from all tertiary, general, and primary hospitals between October 2020 and March 2021. The target population was patients aged 18 years and older who received either total knee arthroplasty or red blood cell transfusion. The QA indicators for transfusion healthcare service consisted of four quality indicators and four monitoring indicators. Results: We analyzed the results of QA indicators for transfusion service from the medical records of 189,668 patients from 1,171hospitals and expressed indicators as proportions. The average results for evaluation indicators were as follows: transfusion checklist presence, 64.8%; irregular antibody tests, 61.8%; transfusions in which the hemoglobin levels before transfusion met the transfusion guidelines for patients undergoing total knee arthroplasty, 20.6%, and transfusions in patients undergoing total knee arthroplasty, 59.3%. The average results for monitoring indicators were as follows: transfusion management implementation in medical institutions, 56.9%; preoperative anemia management in anemia patients undergoing total knee arthroplasty, 43.9%; one-unit transfusions, 82.5%; and the transfusion index. Conclusion: The quality of blood transfusion healthcare varied and the assessment revealed that there is scope for improvement. Hospitals require more effective blood transfusion management and this can be facilitated by providing feedback on the QA results about blood transfusion healthcare services to medical institutions, and by disclosing the results to the public.