- 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.
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Min Ho Kyung, Seok Jun Yoon, Hyeong Sik Ahn, Se min Hwang, Hyun Ju Seo, Kyoung Hoon Kim, Hyeung Keun Park
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J Prev Med Public Health. 2009;42(2):117-122.
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DOI: https://doi.org/10.3961/jpmph.2009.42.2.117
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Abstract
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- 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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- Severity-Adjusted Mortality Rates: The Case of CABG Surgery.
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Hyeung Keun Park, Hyeongsik Ahn, Young Dae Kwon, You Cheol Shin, Jin Seok Lee, Hae Joon Kim, Moon Jun Sohn
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Korean J Prev Med. 2001;34(1):21-27.
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Abstract
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- OBJECTIVES
To develop a model that will predict the mortality of patients undergoing Coronary Artery Bypass Graft (CABG) and evaluate the performance of hospitals. METHODS: Data from 564 CABGs performed in six general hospitals were collected through medical record abstraction by registered nurses. Variables studied involved risk factors determined by severity measures. Risk modeling was performed through logistic regression and validated with cross-validation. The statistical performance of the developed model was evaluated using c-statistic, R2, and Hosmer-Lemeshow statistic. Hospital performance was assessed by severity-adjusted mortalities. RESULTS: The developed model included age, sex, BUN, EKG rhythm, Congestive Heart Failure at admission, acute mental change within 24 hours, and previous angina pectoris history. The c-statistic and R2 were 0.791 and 0.101, respectively. Hosmer-Lemeshow statistic was 10.3(p value=0.2415). One hospital had a significantly higher mortality rate than the average mortality rate, while others were not significantly different. CONCLUSION: Comparing the quality of service by severity adjusted mortality rates, there were significant differences in hospital performance. The severity adjusted mortality rate of CABG surgery may be an indicator for evaluating hospital performance in Korea.
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