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Economic burden of acute coronary syndrome in South Korea: a national survey
© Kim et al.; licensee BioMed Central Ltd. 2013
Received: 16 February 2013
Accepted: 6 August 2013
Published: 8 August 2013
Acute coronary syndrome (ACS) is highly prevalent in Korea and is the third-leading cause of death in Korea; however, the economic cost of ACS on Korean society has not been investigated. This study examined the economic effect of ACS on the Korean population during the period 2004 to 2009.
The analysis used the cost of illness (COI) framework. Data on direct medical costs, direct non-medical costs, and productivity loss related to ACS morbidity and mortality were included. The Korean National Health Insurance Corporation’s claim database was used to obtain data on annual healthcare utilization and expenditures for the entire South Korean population. By using a data mining technique, we identified healthcare claims with ACS-related disease codes. Costs were estimated by using a macro-costing method.
In 2009, the prevalence of ACS in Korea was 6.4 persons per 1,000 population members and the associated mortality rate was 20.2 persons per 100,000 population members. The total cost of ACS in 2009 was USD 918.2 million. Of the total, direct medical cost was USD 425.3 million, direct non-medical cost was USD 11.4 million, and cost associated with morbidity and mortality was USD 481.5 million.
The results show that the total cost of ACS to the Korean society is high. Early and effective management of ACS is required to reduce ACS-associated mortality and morbidity. We suggest that further research be undertaken to determine ways to reduce the economic effects of ACS and its treatment.
Acute coronary syndrome (ACS), which includes unstable angina (UA), non-ST-segment elevation myocardial infarction (MI) and ST-segment elevation MI, is highly prevalent in Korea and is the third-leading cause of death in South Korea . Moreover, ACS is the most common condition related to ischemic heart disease in the West, and it is the major condition associated with heart disease requiring hospitalization [2–4]. According to the Korean National Statistical Office, the current level of morbidity and mortality associated with ACS has increased markedly from the level of 10 years ago . In a previous study, the treatment cost associated with cardiovascular disease in Korea was USD 1.38 billion in 2001 and USD 2.25 billion in 2005 while the COI was USD 5.13 billion in 2001 and USD 5.89 billion in 2005 . Since the aging index in Korea is estimated to increase from 67.7% in 2010 to 213.8% in 2030 , cardiovascular disease is expected to increase steadily for metabolic syndrome according to aging . Thus, the prevalence of ACS and its associated costs are also expected to increase markedly. However, the economic effect of ACS on the Korean society has not been previously reported. In this study, we report on the economic burden of ACS in Korea over between 2004 and 2009.
Institutional review board and ethic committee approvals were not required for this study.
The study population included patients with UA or MI who were discharged from hospitals from 2004 to 2009. Patients enrolled included those with medical claims with the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) codes for ACS and included I20.0 (UA), I21 (acute MI), I22 (subsequent MI), I23 (certain current complication following acute MI), I25.0 (atherosclerotic cardiovascular disease, sp described), and I25.1 (atherosclerotic heart disease) of MI. Codes I25.0 and I25.1 are chronic diseases and examination and treatments such as creatine kinase muscle-brain (CK-MB), troponin, coronary artery bypass graft (CABG) and percutaneous coronary intervention (PCI) for MI patients are frequently claimed with those codes at several medical institutions in Korea; thus, the positive rate of MI associated with those codes was high in a previous study . To avoid underestimation of MI prevalence and to allow comparison with previous results, our study included codes I25.0 and I25.1.
The analysis used a COI framework and included direct medical costs, direct non-medical costs, and indirect costs such as productivity loss from ACS-related morbidity and mortality [8, 9]. Our estimate of total societal cost (SC), which included direct costs (DC) and indirect costs (IDC), was developed by using a macro-costing method.
The DC incurred when treating ACS included direct medical costs (MC), such as hospitalization and outpatient costs, and direct non-medical costs (NMC), such as transportation and caregiver costs.
InNHI ij = NHI payment for hospitalization expenditures, OutNHI ij = NHI payment for outpatient expenditures, OOP = out-of-pocket payment, i = 0,1,…, n (age), and j = 1 or 2 (gender).
InO ij = number of hospitalization visits, OutO ij = number of outpatient visits, M = transportation costs (based on round-trip transport), InN ij = length of hospitalization, I = caregiver costs per day, i = 0,1,…,n (age), and j = 1 or 2 (gender).
InN ij = length of hospitalization, p ij = labor force participation rate, e ij = employment rate, y ij = average daily earning, OutN ij = outpatient visiting days, i = 0,1,…,n (age), and j = 1 or 2 (gender).
F ij = number of deaths, Y j t+τ = average expected income in year t + τ (t = age at death and τ = life year), p ij = labor force participation rate, e ij = employment rate, r = discount rate, i = 0,1,…,n (age), and j = 1 or 2 (gender)
Epidemiology of ACS in South Korea from 2004 to 2009
Number of patients
Prevalence per 1000 population
% of male
% of over 60
Number of death
Mortality per 100 000 population
In 2004, the number ACS patient deaths was 9,863. That number increased annually and was 11,236 persons in 2006. However, since 2006, the number of ACS-related deaths has decreased: 10,659 people in 2007, 9,929 in 2008, and 9,831 in 2009. The mortality rate associated with ACS was 20.5 persons per 100,000 population members in 2004. That rate increased from 2004 to 2006 and then decreased until 2009. Deaths related to UA represented 2.3% of the ACS deaths while death due to MI represented 97.7% of all ACS deaths in 2009 (Table 1).
Medical utilization due to ACS from 2004 to 2009
Total hospital visits
Total inpatient days
Inpatient days per case
NHI payments by groups from 2004 to 2009
NHI payments ($ million)
Procedure and operation
Societal costs of ACS from 2004 to 2009
Societal costs ($ million)
Lost wage due to morbidity
Lost future income
The direct costs increased annually, except for 2008, from USD 272.4 million in 2004 to USD 436.7 million in 2009. Within the direct costs associated with ACS, the medical costs were estimated at USD 265.5 million in 2004, which was 40.2% of the 2004 total direct costs. Medical cost increased annually and was USD 425.3 million (46.3% of the total direct cost) in 2009. In addition, the direct MC for hospitalization was USD 227.6 million in 2004 and USD 357.5 million in 2009, approximately six times that for outpatient MC. The 2004 non-medical cost was approximately USD 6.9 million or 1.0% of the total 2004 expenditures. The NMC increased annually and was USD 11.4 million (1.3% of the total direct cost) in 2009. Of the direct NMC associated with ACS, transportation cost was USD 4.2 million in 2004, which increased yearly to USD 7.9 million in 2009. Caregiving cost was USD 2.7 million in 2004 and increased to USD 3.5 million in 2009 (Table 4).
The indirect cost in 2004 was USD 387.5 million, 58.8% of the total societal cost increasing to USD 481.5 million (52.4% of the total societal cost) in 2009. The indirect cost included lost wages of USD 10.3 million in 2004 and USD 16.0 million in 2009 and future lost income of USD 377.2 million in 2004 and USD 465.5 million in 2009 (Table 4).
Our analysis was based on 2004–2009 NHI medical claim data for the entire population in Korea. This data source was used to examine ACS-related healthcare utilization and associated expenditures in a real-world setting over a period of years.
The results of this study indicate that the societal costs associated with ACS are substantial. In Korea in 2005, the COI of circulatory diseases, including ACS, was 13.1% of the total COI with circulatory diseases being the second largest proportion of COI after that associated with neoplasms . At the GDP level, the COI of circulatory diseases in Korea is reported to be comparable to that in other countries [16–22]. In this study, the indirect cost of ACS was approximately 55% of the total NHI cost. This result is attributed to the age distribution of the study population with the results showing high morbidity and mortality in those aged below 70 years, which is consistent with the results of other studies [4, 23]. However, the high percentage of indirect costs in our study contrasts with the results of Johnston et al. . The low proportion of indirect costs in the study by Johnston et al. may be due to differences in the measurement methods in the two studies; thus, it is difficult to compare the two results.
Several studies have shown that a MI diagnosis is associated with higher NHI expenditures than those associated with a diagnosis of UA [17, 21]; results that are supported by our findings. Additionally, our study shows that NHI expenditures for procedures and operations including PCI and CABG represent the highest proportion of the total NHI cost, which supports the results of other studies on ACS-associated costs [17, 18, 20, 21, 25]. Since several studies have suggested that interventional approaches (such as PCI, stent, and CABG) reduce ACS-related morbidity and mortality [26, 27], NHI expenditures on such approaches are likely to increase consistently. In this study, the NHI hospitalization cost was six times that of the NHI outpatient care cost. Moreover, NHI expenditures in tertiary hospitals accounted for more than 50% of the total NHI payments. Collectively, these findings indicate that ACS is a societally important condition, one that requires appropriate treatment.
Over the study period, the number of patients with ACS increased continuously from 217,297 in 2004 to 309,384 in 2009. Annually over that period, between 130,004 and 192,317 (approximately 60%) were men. As with many other diseases, the prevalence of ACS increases with age. In our study, approximately 50% of the ACS patients were over the age of 60 years. The proportion of ACS patients with UA was 44.9% in 2004, which is lower than that of MI patients (55.1%). Over the study period, the number of patients with UA increased more sharply than that of MI patients and there were more UA patients than MI patients in 2009.
20.2 and23.3 persons per 100,000 population members, representing approximately 4% of the total deaths and 17% of the cardiovascular disease deaths in Korea . While the prevalence of ACS increased over the study period, the mortality rate decreased. This result can be attributed to improvements in the early detection and treatment of ACS. Although the elderly (those aged over 70 years) had a high morbidity in this study, the mortality rate in patients at a working age was also high. This trend can lead to increased indirect costs, especially those associated with future income. Of the patients in this study who died due to ACS, MI was associated with 98% of the deaths. This is likely attributed to disease progression of UA, which proceeds to MI with deterioration. We found no other studies that showed a relationship between ACS prevalence and subsequent mortality.
Over the study period, ACS-related hospital visits increased for both outpatients and inpatients. Since the outpatient visits increased more rapidly than that of the inpatients, the outpatient-to-inpatient ratio increased annually. Recent studies have shown that same-day discharge after procedures such as PCI and coronary angiography is feasible and safe [28–30]. Moreover, because of factors such as patient satisfaction, medical costs, and waiting lists the prevalence of same-day discharge is increasing. Accordingly, that trend is likely to have affected the outpatient-to-inpatient ratio in this study. While the outpatient visits continued to increase during our study, inpatient days decreased consistently from 7.18 days in 2004 to 6.62 days in 2009. This decrease is less than that reported by others [16, 18], except for a study conducted in the United States [16, 18, 20, 25]. Country specific differences in inpatient day results have been attributed to the country’s type of healthcare system.
This study has several limitations related to measuring costs. First, we included only the cost of caregiving that was provided by paid caregivers. To calculate caregiving costs more accurately, the cost of the informal care provided by relatives should also be included. To that end, information on relatives’ characteristics such as gender, age, and occupation is required. Because of insufficient information on the characteristics of the caregivers we were unable to include costs related to informal care. Second, we were unable to estimate some items because of data restrictions and objective quantification difficulties. For example, the cost for emergency services and the intangible costs such as those related to pain and emotional anxiety due to ACS were excluded from the study. Third, notwithstanding uncertainties about the data, no sensitivity analysis to test the robustness of our results was performed. If such limitations are addressed in a future study, more accurate measurements of SC of ACS could be achieved.
This 2004 to 2009 study showed that the number of patients with ACS in Korea has sharply increased and that the societal cost of ACS in Korea is markedly high. ACS is likely to remain a leading cause of hospitalization, due to the aging Korean population and because of an increase in risk factors for coronary heart disease. It is expected that the proportion of the Korean population that is aged 65 years and older, and therefore at a high risk of ACS, will increase until 2030. Thus ACS will continue to be a major healthcare disease in the near future. This, coupled with the continued presence of high risk factors associated with ACS (such as obesity and diabetes) suggests that early and effective management of ACS is required to reduce ACS-related mortality and morbidity. Hence, significant public and private healthcare resources will continue to be required to prevent and treat ACS. The findings of this study suggest that further research should be undertaken to discover ways to reduce the economic effects of ACS on the Korean population.
This research was funded by Lilly Korea in 2010. None of the authors have a relevant financial relationship with the funder.
- Korean National Statistics Office Database. http://kostat.go.kr/portal/korea/kor_nw/2/6/2/index.board?bmode=read&aSeq=66244 [Accessed on 13 March 2011]
- Lloyd-Jones D, Adams R, Carnethon M, De Simone G, Ferguscon TB, Flegal K, Ford E, Furie K, Go A, Greenlund K, et al: Heart disease and stroke statistics-2009 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2009, 119: e21-e181.View ArticlePubMedGoogle Scholar
- Rosamond W, Flegal K, Furie K, Go A, Greenlund K, Haase N, Hailpern SM, Ho M, Howard V, Kissela B, et al: Heart disease and stroke statistics–2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2008, 117: e25-e146.View ArticlePubMedGoogle Scholar
- Yusuf S, Reddy S, Ounpuu S, Anand S: Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001, 104: 2746-2753. 10.1161/hc4601.099487.View ArticlePubMedGoogle Scholar
- Jung YH: Cost of illness and health-friendly fiscal policy. Health and Welfare Policy Forum. 2009, 156: 50-61.Google Scholar
- Moebus S, Balijepalli C, Lösch C, Göres L, Von Stritzky B, Bramlage P, Wasem J, Jöckel KH: Age- and sex-specific prevalence and ten-year risk for cardiovascular disease of all 16 risk factor combinations of the metabolic syndrome - A cross-sectional study. Cardiovasc Diabetol. 2010, 9: 34-10.1186/1475-2840-9-34.View ArticlePubMedPubMed CentralGoogle Scholar
- Kim JY: Construction of national surveillance system for cardiovascular & cerebrovascular disease. 2006, Seoul: Health Insurance Cooperation Health Insurance Review & Assessment ServiceGoogle Scholar
- Byford S, Torgerson DJ, Raftery J: Economic note: cost of illness studies. BMJ. 2000, 320: 1335-10.1136/bmj.320.7245.1335.View ArticlePubMedPubMed CentralGoogle Scholar
- Koopmanschap MA: Cost-of-illness studies. Useful for health policy?. Pharmacoeconomics. 1998, 14: 143-148.View ArticlePubMedGoogle Scholar
- Korean National Health Insurance Cooperation Health Insurance Review & Assessment Service: Health insurance statistical yearbook. 2008, SeoulGoogle Scholar
- Kim JH, Jung JC, Kim SO: A study on individual co-payment for health insurance in Korea. 2008, Seoul: Korean National Health Insurance CooperationGoogle Scholar
- The Korean Association for Survey Research Database. http://knhanes.cdc.go.kr [Accessed on 13 March 2011]
- Koopmanschap MA, Rutten FF: Indirect costs in economic studies: confronting the confusion. Pharmacoeconomics. 1993, 4: 446-454. 10.2165/00019053-199304060-00006.View ArticlePubMedGoogle Scholar
- Korean Ministry of Employment and Labor Database. http://www.moel.go.kr/english/statistics/MOL_Survey_Data.jsp [Accessed on 13 March 2011]
- Smith DH, Gravelle H: The practice of discounting in economic evaluations of healthcare interventions. Int J Technol Assess Health Care. 2001, 7: 236-243.View ArticleGoogle Scholar
- Bramkamp M, Radovanovic D, Erne P, Szucs TD: Determinants of costs and the length of stay in acute coronary syndromes: a real life analysis of more than 10,000 patients. Cardiovasc Drugs Ther. 2007, 21: 389-398. 10.1007/s10557-007-6044-0.View ArticlePubMedGoogle Scholar
- Etemad LR, McCollam PL: Total first-year costs of acute coronary syndrome in a managed care setting. J Manag Care Pharm. 2005, 11: 300-306.PubMedGoogle Scholar
- Kauf TL, Velazquez EJ, Crosslin DR, Weaver WD, Diaz R, Granger CB, McMurray JL, Rouleau JL, Aylward PE, White HD, et al: The cost of acute myocardial infarction in the new millennium: evidence from a multinational registry. Am Heart J. 2006, 151: 206-212. 10.1016/j.ahj.2005.02.028.View ArticlePubMedGoogle Scholar
- Kolansky DM: Acute coronary syndromes: morbidity, mortality, and pharmacoeconomic burden. Am J Manag Care. 2009, 15: S36-S41.PubMedGoogle Scholar
- Menzin J, Wygant G, Hauch O, Jackel J, Friedman M: One-year costs of ischemic heart disease among patients with acute coronary syndromes: findings from a multi-employer claims database. Curr Med Res Opin. 2008, 24: 461-468. 10.1185/030079908X261096.View ArticlePubMedGoogle Scholar
- Russell MW, Huse DM, Drowns S, Hamel EC, Hartz SC: Direct medical costs of coronary artery disease in the United States. Am J Cardiol. 1998, 81: 1110-1115. 10.1016/S0002-9149(98)00136-2.View ArticlePubMedGoogle Scholar
- Turpie AG: Burden of disease: medical and economic impact of acute coronary syndromes. Am J Manag Care. 2006, 12: S430-S434.PubMedGoogle Scholar
- Goodman SG, Huang W, Yan AT, Budaj A, Kennelly BM, Gore JM, Fox KA, Goldberg RJ, Anderson FA: The expanded Global Registry of Acute Coronary Events: baseline characteristics, management practices, and hospital outcomes of patients with acute coronary syndromes. Am Heart J. 2009, 158: 193-201. 10.1016/j.ahj.2009.06.003.View ArticlePubMedGoogle Scholar
- Johnston SS, Curkendall S, Makenbaeva D, Mozaffari E, Goetzel R, Burton W, Maclean R: The direct and indirect cost burden of acute coronary syndrome. J Occup Environ Med. 2011, 53: 2-7. 10.1097/JOM.0b013e31820290f4.View ArticlePubMedGoogle Scholar
- Berenson K, Ogbonnaya A, Casciano R, Makenbaeva D, Mozaffari E, Lamerato L, Corbelli J: Economic consequences of ACS-related rehospitalizations in the US. Curr Med Res Opin. 2010, 26: 329-336. 10.1185/03007990903479331.View ArticlePubMedGoogle Scholar
- Rizzello V, Lucci D, Maggioni AP, Giampaoli S, Greco C, Pasquale GD, Pallotti MG, Mureddu GF, Chiara AD, Boccanelli A: Clinical epidemiology, management and outcome of acute coronary syndromes in the Italian network on acute coronary syndromes (IN-ACS Outcome study). Acute Card Care. 2012, 14: 71-80. 10.3109/17482941.2012.655296.View ArticlePubMedGoogle Scholar
- Xanthopoulou I, Davlouros P, Tsigkas G, Panagiotou A, Hahalis G, Alexopoulos D: Long-term clinical outcome after percutaneous coronary intervention in grafts vs native vessels in patients with previous coronary artery bypass grafting. Can J Cardiol. 2011, 27: 716-724. 10.1016/j.cjca.2011.08.115.View ArticlePubMedGoogle Scholar
- Patel M, Kim M, Karajgikar R, Kodali V, Kaplish D, Lee P, Moreno P, Krishnan P, Sharma SK, Kini AS: Outcomes of patients discharged the same day following percutaneous coronary intervention. JACC Cardiovasc Interv. 2010, 3: 851-858. 10.1016/j.jcin.2010.05.010.View ArticlePubMedGoogle Scholar
- Rao SV, Kaltenbach LA, Weintraub WS, Roe MT, Brindis RG, Rumsfeld JS, Peterson ED: Prevalence and outcomes of same-day discharge after elective percutaneous coronary intervention among older patients. JAMA. 2011, 306: 1461-1497. 10.1001/jama.2011.1409.View ArticlePubMedGoogle Scholar
- Ranchord AM, Prasad S, Seneviratne SK, Simmonds MB, Matsis P, Aitken A, Harding SA: Same-day discharge is feasible and safe in the majority of elderly patients undergoing elective percutaneous coronary intervention. J Invasive Cardiol. 2010, 22: 301-305.PubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2261/13/55/prepub
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