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Min Ho Kyung 2 Articles
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
  • 5,661 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.
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Citations

Citations to this article as recorded by  
  • 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
  • The impact of global budgeting in Taiwan on inpatients with unexplained fever
    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
The Effect of the Cost Exemption Policy for Hospitalized Children under 6 Years Old on the Medical Utilization in Korea.
Kyeong Su Jeon, Seok Jun Yoon, Hyeong Sik Ahn, Hyun Woong Shin, Young Hye Yoon, Se Min Hwang, Min Ho Kyung
J Prev Med Public Health. 2008;41(5):295-299.
DOI: https://doi.org/10.3961/jpmph.2008.41.5.295
  • 4,789 View
  • 45 Download
  • 5 Crossref
AbstractAbstract PDF
OBJECTIVES
The Korean government in January 2006 instigated an exemption policy for hospitalized children under the age of six years old. This study examines how this policy affected the utilization of medical care in Korea. METHODS: A total of 1,513,797 claim records from the Health Insurance Review Agency were analyzed by complete enumeration methods. The changes of medical utilization were compared from 2005 to 2006. In addition, the changes of medical utilization between 2004 and 2005 were compared as a pseudocontrol group. RESULTS: The admission rate increased 1.14-fold from 15.20% in 2004 to 17.32% in 2005, and this further increased 1.08-fold to 18.65% in 2006. The increase of patients with a common cold (1.2-fold) was higher than that of both the general patients (1.08-fold) and the patients with the top 10 fatal diseases (0.91-fold). The average length of stay per case for clinics showed the highest increase rates (1.06-fold). The rates of patients with the common cold showed a higher increase (1.05-fold) than that of the general patients. The average medical expense per case was increased by 1.10-fold from 2005 to 2006, which was higher than that from 2004 to 2005 (1.04-fold). The increase rate for patients with the common cold was higher at 1.18-fold than that of the general patients. CONCLUSIONS: The cost exemption policy has especially led to an increase in the utilization of clinics and the utilization by patients with a common cold.
Summary

Citations

Citations to this article as recorded by  
  • Impact of Coinsurance Reduction Policy on Healthcare Utilization Among Children Under 15
    Minah Park, Eun-Cheol Park, Hongin Noh, Sung-In Jang
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Incidence and prevalence of immune thrombocytopenia under the copayment waiver policy for pediatric patients in Korea: Data from the National Health Claims Database
    Sung-Hoon Park, Sang Gyu Kwak, Ji Yoon Kim
    Lupus.2021; 30(4): 655.     CrossRef
  • Medical cost trends under national health insurance benefit extension in Republic of Korea
    Jinha An, Sukil Kim
    The International Journal of Health Planning and Management.2020; 35(6): 1351.     CrossRef
  • Effects of a Dementia Screening Program on Healthcare Utilization in South Korea: A Difference-In-Difference Analysis
    Su Jung Lee, Hyun-Ju Seo, Dong Young Lee, So-Hyun Moon
    International Journal of Environmental Research and Public Health.2019; 16(20): 3837.     CrossRef
  • Effect of Socioeconomic Status on Healthcare Utilization in Patients with Rare and Incurable Diseases
    Jun Im, Myeong-Hui Kim, Jeong-Su Im, Dae-Gyu O
    Korean Journal of Health Policy and Administration.2009; 19(4): 66.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health