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건강보험 청구명세서 자료를 이용한 제왕절개 분만율 위험도 보정의 효과

Other Titles
 Impact of Risk Adjustment with Insurance Claims Data on Cesarean Delivery Rates of Healthcare Organizations in Korea 
Authors
 이광수  ;  이상일  ;  서경  ;  도영미 
Citation
 Journal of Preventive Medicine and Public Health, Vol.38(2) : 132-140, 2005 
Journal Title
Journal of Preventive Medicine and Public Health
ISSN
 1975-8375 
Issue Date
2005
MeSH
Cesarean Section/statistics & numerical data* ; Female ; Health Facilities ; Humans ; Insurance Claim Review ; Korea ; Pregnancy ; Risk Adjustment*
Keywords
Cesarean section ; Risk adjustment ; Claims analysis
Abstract
Objectives: To propose a risk-adjustment model from insurance claims data, and analyze the changes in cesarean section rates of healthcare organizations after adjusting for risk distribution.
Methods: The study sample included delivery claims data from January to September, 2003. A risk-adjustment model was built using the 1st quarter data, and the 2nd and 3rd quarter data were used for a validation test. Patients' risk factors were adjusted using a logistic regression analysis. The c-statistic and Hosmer-Lemeshow test were used to evaluate the performance of the risk-adjustment model. Crude, predicted and risk-adjusted rates were calculated, and compared to analyze the effects of the adjustment.
Results: Nine risk factors (malpresentation, eclampsia, malignancy, multiple pregnancies, problems in the placenta, previous Cesarean section, older mothers, bleeding and diabetes) were included in the final risk-adjustment model, and were found to have statistically significant effects on the mode of delivery. The c-statistic (0.78) and Hosmer-Lemeshow test (x2=0.60, p=0.439) indicated a good model performance. After applying the 2nd and 3rd quarter data to the model, there were no differences in the c-statistic and Hosmer-Lemeshow x2. Also, risk factor adjustment led to changes in the ranking of hospital Cesarean section rates, especially in tertiary and general hospitals.
Conclusion: This study showed a model performance, using medical record abstracted data, was comparable to the results of previous studies. Insurance claims data can be used for identifying areas where risk factors should be adjusted. The changes in the ranking of hospital Cesarean section rates implied that crude rates can mislead people and therefore, the risk should be adjusted before the rates are released to the public. The proposed risk-adjustment model can be applied for the fair comparisons of the rates between hospitals.
Files in This Item:
T200500690.pdf Download
DOI
OAK-2005-04095
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Obstetrics and Gynecology (산부인과학교실) > 1. Journal Papers
Yonsei Authors
Seo, Kyung(서경)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/150949
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