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Original Article
Trends in the Quality of Primary Care and Acute Care in Korea From 2008 to 2020: A Cross-sectional Study
Yeong Geun Gwon, Seung Jin Han, Kyoung Hoon Kim
J Prev Med Public Health. 2023;56(3):248-254.   Published online April 12, 2023
DOI: https://doi.org/10.3961/jpmph.23.015
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  • 88 Download
AbstractAbstract AbstractSummary PDF
Objectives
Measuring the quality of care is paramount to inform policies for healthcare services. Nevertheless, little is known about the quality of primary care and acute care provided in Korea. This study investigated trends in the quality of primary care and acute care.
Methods
Case-fatality rates and avoidable hospitalization rates were used as performance indicators to assess the quality of primary care and acute care. Admission data for the period 2008 to 2020 were extracted from the National Health Insurance Claims Database. Case-fatality rates and avoidable hospitalization rates were standardized by age and sex to adjust for patients’ characteristics over time, and significant changes in the rates were identified by joinpoint regression.
Results
The average annual percent change in age-/sex-standardized case-fatality rates for acute myocardial infarction was -2.3% (95% confidence interval, -4.6 to 0.0). For hemorrhagic and ischemic stroke, the age-/sex-standardized case-fatality rates were 21.8% and 5.9%, respectively in 2020; these rates decreased since 2008 (27.1 and 8.7%, respectively). The average annual percent change in age-/sex-standardized avoidable hospitalization rates ranged from -9.4% to -3.0%, with statistically significant changes between 2008 and 2020. In 2020, the avoidable hospitalization rates decreased considerably compared with the 2019 rate because of the coronavirus disease 2019 pandemic.
Conclusions
The avoidable hospitalization rates and case-fatality rates decreased overall during the past decade, but they were relatively high compared with other countries. Strengthening primary care is an essential requirement to improve patient health outcomes in the rapidly aging Korean population.
Summary
Korean summary
본 연구에서는 급성심근경색증과 뇌졸중 치명률, 외래진료 민감질환의 예방 가능한 입원율을 사용하여 한국의 의료 질 수준을 분석하였다. 2008~2020년 동안 치명률과 예방 가능한 입원율은 감소하는 추세이다. 그러나, 예방 가능한 입원율은 다른 국가에 비해 상대적으로 높아 환자의 건강결과 향상을 위하여 일차의료 강화가 요구된다.
English Abstracts
A Comparative Study on Comorbidity Measurements with Lookback Period using Health Insurance Database: Focused on Patients Who Underwent Percutaneous Coronary Intervention.
Kyoung Hoon Kim, Lee Su Ahn
J Prev Med Public Health. 2009;42(4):267-273.
DOI: https://doi.org/10.3961/jpmph.2009.42.4.267
  • 5,342 View
  • 109 Download
  • 13 Crossref
AbstractAbstract PDF
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: +/-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.
Summary

Citations

Citations to this article as recorded by  
  • Adjusting for Confounders in Outcome Studies Using the Korea National Health Insurance Claim Database: A Review of Methods and Applications
    Seung Jin Han, Kyoung Hoon Kim
    Journal of Preventive Medicine and Public Health.2024; 57(1): 1.     CrossRef
  • High‐Intensity Statin Reduces the Risk of Mortality Among Chronic Liver Disease Patients With Atherosclerotic Cardiovascular Disease: A Population‐Based Cohort Study
    Sungho Bea, In‐Sun Oh, Ju Hwan Kim, Dong Hyun Sinn, Yoosoo Chang, Seungho Ryu, Ju‐Young Shin
    Journal of the American Heart Association.2023;[Epub]     CrossRef
  • Impact of comorbidity assessment methods to predict non-cancer mortality risk in cancer patients: a retrospective observational study using the National Health Insurance Service claims-based data in Korea
    Sanghee Lee, Yoon Jung Chang, Hyunsoon Cho
    BMC Medical Research Methodology.2021;[Epub]     CrossRef
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    Jill Hardin, Jenna M. Reps
    BMC Medical Research Methodology.2021;[Epub]     CrossRef
  • Comorbidity and cervical cancer survival of Indigenous and non-Indigenous Australian women: A semi-national registry-based cohort study (2003-2012)
    Abbey Diaz, Peter D. Baade, Patricia C. Valery, Lisa J. Whop, Suzanne P. Moore, Joan Cunningham, Gail Garvey, Julia M. L. Brotherton, Dianne L. O’Connell, Karen Canfell, Diana Sarfati, David Roder, Elizabeth Buckley, John R. Condon, Stéphanie Filleur
    PLOS ONE.2018; 13(5): e0196764.     CrossRef
  • Comorbidity Adjustment in Health Insurance Claim Database
    Kyoung Hoon Kim
    Health Policy and Management.2016; 26(1): 71.     CrossRef
  • The Benefits Conferred by Radial Access for Cardiac Catheterization Are Offset by a Paradoxical Increase in the Rate of Vascular Access Site Complications With Femoral Access
    Lorenzo Azzalini, Kunle Tosin, Malorie Chabot-Blanchet, Robert Avram, Hung Q. Ly, Benoit Gaudet, Richard Gallo, Serge Doucet, Jean-François Tanguay, Réda Ibrahim, Jean C. Grégoire, Jacques Crépeau, Raoul Bonan, Pierre de Guise, Mohamed Nosair, Jean-Franço
    JACC: Cardiovascular Interventions.2015; 8(14): 1854.     CrossRef
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    Young-Suk Seo, Sung-Hong Kang
    Journal of Digital Convergence.2015; 13(12): 245.     CrossRef
  • Development and validation of comorbidity index in South Korea
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    International Journal for Quality in Health Care.2012; 24(4): 391.     CrossRef
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    Ji-Hye Lim, Mun-Hee Nam
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(6): 2672.     CrossRef
  • Use of hospitalisation history (lookback) to determine prevalence of chronic diseases: impact on modelling of risk factors for haemorrhage in pregnancy
    Jian Sheng Chen, Christine L Roberts, Judy M Simpson, Jane B Ford
    BMC Medical Research Methodology.2011;[Epub]     CrossRef
  • The Impact of Medicaid Expansion to include population with low income on the preventable hospitalizations
    Hyun-Chul Shin, Se-Ra Kim
    Korean Journal of Health Policy and Administration.2010; 20(1): 87.     CrossRef
  • Comparative Study on Three Algorithms of the ICD-10 Charlson Comorbidity Index with Myocardial Infarction Patients
    Kyoung Hoon Kim
    Journal of Preventive Medicine and Public Health.2010; 43(1): 42.     CrossRef
Prognostic Impact of Charlson Comorbidity Index Obtained from Medical Records and Claims Data on 1-year Mortality and Length of Stay in Gastric Cancer Patients.
Min Ho Kyung, Seok Jun Yoon, Hyeong Sik Ahn, Se min Hwang, Hyun Ju Seo, Kyoung Hoon Kim, Hyeung Keun Park
J Prev Med Public Health. 2009;42(2):117-122.
DOI: https://doi.org/10.3961/jpmph.2009.42.2.117
  • 5,636 View
  • 113 Download
  • 12 Crossref
AbstractAbstract PDF
OBJECTIVES
We tried to evaluate the agreement of the Charlson comorbidity index values (CCI) obtained from different sources (medical records and National Health Insurance claims data) for gastric cancer patients. We also attempted to assess the prognostic value of these data for predicting 1-year mortality and length of the hospital stay (length of stay). METHODS: Medical records of 284 gastric cancer patients were reviewed, and their National Health Insurance claims data and death certificates were also investigated. To evaluate agreement, the kappa coefficient was tested. Multiple logistic regression analysis and multiple linear regression analysis were performed to evaluate and compare the prognostic power for predicting 1 year mortality and length of stay. RESULTS: The CCI values for each comorbid condition obtained from 2 different data sources appeared to poorly agree (kappa: 0.00-0.59). It was appeared that the CCI values based on both sources were not valid prognostic indicators of 1-year mortality. Only medical record-based CCI was a valid prognostic indicator of length of stay, even after adjustment of covariables (beta = 0.112, 95% CI = [0.017-1.267]). CONCLUSIONS: There was a discrepancy between the data sources with regard to the value of CCI both for the prognostic power and its direction. Therefore, assuming that medical records are the gold standard for the source for CCI measurement, claims data is not an appropriate source for determining the CCI, at least for gastric cancer.
Summary

Citations

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  • Factors Associated with Hospital Length of Stay among Women’s Cancer Patients: Based on the In-depth Injury Patient Surveillance System Data
    Yoonjung Kang, Hyewon Lee
    Journal of Health Informatics and Statistics.2022; 47(2): 148.     CrossRef
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    Keh-Sen Liu, Tsung-Fu Yu, Hsing-Ju Wu, Chun-Yi Lin
    Medicine.2019; 98(37): e17131.     CrossRef
  • What happened to health service utilization, health care expenditures, and quality of care in patients with acute pancreatitis after implementation of global budgeting in Taiwan?
    Ya-Lin Ko, Jyun-Wei Wang, Hui-Mei Hsu, Chia-Hung Kao, Chun-Yi Lin
    Medicine.2018; 97(41): e12620.     CrossRef
  • The impact of global budgeting on health service utilization, health care expenditures, and quality of care among patients with pneumonia in Taiwan
    C.-Y. Lin, T. Ma, C.-C. Lin, C.-H. Kao
    European Journal of Clinical Microbiology & Infectious Diseases.2016; 35(2): 219.     CrossRef
  • Comparison of Hospital Standardized Mortality Ratio Using National Hospital Discharge Injury Data
    Jong-Ho Park, Yoo-Mi Kim, Sung-Soo Kim, Won-Joong Kim, Sung-Hong Kang
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(4): 1739.     CrossRef
  • Predictive Ability of Charlson Comorbidity Index on Outcomes From Lung Cancer
    Apar Kishor Ganti, Emily Siedlik, Alissa S. Marr, Fausto R. Loberiza, Anne Kessinger
    American Journal of Clinical Oncology.2011; 34(6): 593.     CrossRef
  • Comparative Study on Three Algorithms of the ICD-10 Charlson Comorbidity Index with Myocardial Infarction Patients
    Kyoung Hoon Kim
    Journal of Preventive Medicine and Public Health.2010; 43(1): 42.     CrossRef
  • The Impact of Medicaid Expansion to include population with low income on the preventable hospitalizations
    Hyun-Chul Shin, Se-Ra Kim
    Korean Journal of Health Policy and Administration.2010; 20(1): 87.     CrossRef
  • Charlson Comorbidity Index as a Predictor of Long-Term Survival after Surgery for Breast Cancer: A Nationwide Retrospective Cohort Study in South Korea
    Hye Kyung Woo, Jong Hyock Park, Han Sung Kang, So Young Kim, Sang Il Lee, Hyung Ho Nam
    Journal of Breast Cancer.2010; 13(4): 409.     CrossRef
  • A comparison of the Charlson comorbidity index derived from medical records and claims data from patients undergoing lung cancer surgery in Korea: a population-based investigation
    Hyun-Ju Seo, Seok-Jun Yoon, Sang-Il Lee, Kun Sei Lee, Young Ho Yun, Eun-Jung Kim, In-Hwan Oh
    BMC Health Services Research.2010;[Epub]     CrossRef
  • Health Outcome Prediction Using the Charlson Comorbidity Index In Lung Cancer Patients
    Se-Won Kim, Seok-Jun Yoon, Min-Ho Kyung, Young-Ho Yun, Young-Ae Kim, Eun-Jung Kim
    Korean Journal of Health Policy and Administration.2009; 19(4): 18.     CrossRef
  • Factors Affecting Health of the Rural Residents
    Dong-Koog Son, Kyu-Sik Lee, Jong-Ku Park, Sang-Baek Koh, Ki-Nam Jin, Eun-Woo Nam, Hae-Jong Lee
    Korean Journal of Health Policy and Administration.2009; 19(4): 1.     CrossRef
Evaluation Studies
The Socioeconomic Cost of Injuries in South Korea.
Kunhee Park, Jin Seok Lee, Yoon Kim, Yong Ik Kim, Jaiyong Kim
J Prev Med Public Health. 2009;42(1):5-11.
DOI: https://doi.org/10.3961/jpmph.2009.42.1.5
  • 5,381 View
  • 60 Download
  • 10 Crossref
AbstractAbstract PDF
OBJECTIVES
This study was conducted to estimate the socioeconomic cost of injuries in South Korea. METHODS: We matched claims data from national health insurance, automobile insurance and industrial accident compensation insurance (IACI), and mortality data obtained from the national statistical office from 2001 to 2003 by patients' unique identifier. Socioeconomic cost included both direct cost and indirect cost: the direct cost was injury-related medical expenditure and the indirect cost included loss of productivity due to healthcare utilization and premature death. RESULTS: The socioeconomic cost of injuries in Korea was approximately 1.9% of the GDP from 2001 to 2003. That is, 12.1 trillion KRW (Korean Won) in 2001, 12.3 trillion KRW in 2002, and 13.7 trillion KRW in 2003. In 2003, direct medical costs were 24.6% (3.4 trillion KRW), the costs for loss of productivity by healthcare utilization were 13.0% (1.8 trillion KRW), and the costs for loss of productivity by premature death were 62.4% (8.6 trillion KRW). CONCLUSIONS: In this study, the socioeconomic cost of injuries in Korea between 2001 and 2003 was estimated by using not only health insurance claims data, but also automobile insurance, IACI claims and mortality data. We conclude that social efforts are required to reduce the socioeconomic cost of injuries in Korea, which represented approximately 1.9% of the GDP for the time period specified.
Summary

Citations

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English Abstract
Cost-of-illness Study of Asthma in Korea: Estimated from the Korea National Health Insurance Claims Database.
Choon Seon Park, Hye Young Kang, Il Kwon, Dae Ryong Kang, Hye Young Jung
J Prev Med Public Health. 2006;39(5):397-403.
  • 2,598 View
  • 135 Download
AbstractAbstract PDF
OBJECTIVES
We estimated the asthma-related health care utilization and costs in Korea from the insurer's and societal perspective. METHODS: We extracted the insurance claims records from the Korea National Health Insurance claims database for determining the health care services provided to patients with asthma in 2003. Patients were defined as having asthma if they had > or =2 medical claims with diagnosis of asthma and they had been prescribed anti-asthma medicines. Annual claims records were aggeregated for each patient to produce patient-specific information on the total utilization and costs. The total asthma-related cost was the sum of the direct healthcare costs, the transportation costs for visits to healthcare providers and the patient's or caregivers' costs for the time spent on hospital or outpatient visits. RESULTS: A total of 699,603people were identified as asthma patients, yielding an asthma prevalence of 1.47%. Each asthma patient had 7.56 outpatient visits, 0.01 ED visits and 0.02 admissions per year to treat asthma.The per-capita insurance-covered costs increased with age, from 128,276 Won for children aged 1 to 14 years to 270,729 Won for those aged 75 or older. The total cost in the nation varied from 121,865 million to 174,949 million Won depending on the perspectives. From a societal perspective, direct healthcare costs accounted for 84.9%, transportation costs for 15.1% and time costs for 9.2% of the total costs. CONCLUSIONS: Hospitalizations and ED visits represented only a small portion of the asthma-related costs. Most of the societal burden was attributed to direct medical expenditures, with outpatient visits and medications emerging as the single largest cost components.
Summary

JPMPH : Journal of Preventive Medicine and Public Health