1.Cancer burden in the Jinchang cohort.
Yana BAI ; Hongmei QU ; Hongquan PU ; Min DAI ; Ning CHENG ; Haiyan LI ; Sheng CHANG ; Juansheng LI ; Feng KANG ; Xiaobin HU ; Xiaowei REN ; Jie HE
Chinese Journal of Epidemiology 2016;37(3):306-310
OBJECTIVETo understand the disease burden caused by cancers in Jinchang cohort, and develop effective strategies for cancer prevention and control in this population.
METHODSThe cancer mortality data from 2001 to 2013 and the medical records for cancer patients from 2001 to 2010 in Jinchang cohort were collected. The disease burden caused by cancer was analyzed by using mortality rate, potential years of life lost (PYLL), working PYLL (WPYLL), and direct economic burden.
RESULTSDuring 2001-2013, in Jinchang cohort, the five leading cancers ranked by mortality rate were lung cancer (78.06/100,000), gastric cancer (38.03/100,000), liver cancer (37.23/100,000), esophageal cancer (19.06/100,000), and colorectal cancer (9.53/100,000). The five leading cancers in terms of PYLL (person-years) and WPYLL (person-years) were lung cancer (3480.33, 1161.00), liver cancer (2809.03, 1475.00), gastric cancer (2120.54, 844.00), esophageal cancer (949.61, 315.00), and colorectal cancer (539.90, 246.00). From 2001 to 2010, the five leading cancers in term of average daily cost of hospitalization were gastric cancer (8,102.23 Yuan), esophageal cancer (7135.79 Yuan), colorectal cancer (7064.38 Yuan), breast cancer (6723.53 Yuan), and lung cancer (6309.39 Yuan).
CONCLUSIONSThe cancers common causing higher disease burden in Jinchang cohort were lung cancer, gastric cancer, liver cancer, esophageal cancer and colorectal cancer. The lung cancer disease burden was the highest.
Breast Neoplasms ; economics ; mortality ; China ; epidemiology ; Cohort Studies ; Colorectal Neoplasms ; economics ; mortality ; Cost of Illness ; Esophageal Neoplasms ; economics ; mortality ; Female ; Hospitalization ; economics ; Humans ; Liver Neoplasms ; economics ; mortality ; Lung Neoplasms ; economics ; mortality ; Male ; Neoplasms ; economics ; mortality ; Stomach Neoplasms ; economics ; mortality
2.Disease burden of colorectal cancer in Jinchang cohort.
Sheng CHANG ; Yana BAI ; Hongquan PU ; Ni LI ; Ning CHENG ; Haiyan LI ; Zhidong XIE ; Fuxin LI ; Xiaobin HU ; Jinbing ZHU ; Jie HE ; Min DAI
Chinese Journal of Epidemiology 2016;37(3):325-328
OBJECTIVETo evaluate the disease burden of colorectal cancer in Jinchang cohort, and provide evidence for preventing colorectal cancer and reducing the disease burden of colorectal cancer in the cohort.
METHODSThe colorectal cancer mortality data from 2001 to 2013 and the medical records of colorectal cancer patients from 2001 to 2010 were collected for this retrospective cohort study. The colorectal cancer disease burden was described by using mortality rate, standardized mortality rate, medical expenditure, potential years of life lost (PYLL), average potential years of life lost (APYLL), working potential years of life lost (WPYLL), and average working potential years of life lost (AWPYLL). The development trend in disease burden of colorectal cancer was analyzed by using Spearman correlation and the average growth rate.
RESULTSThe crude mortality rate of colorectal cancer from 2001 to 2013 was 9.53/100,000 with the average annual growth rate of 12.89%. The PYLL, APYLL, WPYLL and AWPYLL of colorectal cancer were 485.00 person-years, 9.15 years, 253.00 person-years, and 4.77 years, respectively. The direct medical expenditure due to colorectal cancer was 7064.38 Yuan per case and 408.43 Yuan per day. There was no increasing trend in the direct medical expenditure due to colorectal cancer.
CONCLUSIONColorectal cancer mortolity rate was on the rise and it caused heavy disease burden in Jinchang cohort.
China ; epidemiology ; Colorectal Neoplasms ; economics ; mortality ; Cost of Illness ; Health Expenditures ; statistics & numerical data ; Humans ; Retrospective Studies
3.Comparison of Hospital Charge Prediction Models for Colorectal Cancer Patients: Neural Network vs. Decision Tree Models.
Seung Mi LEE ; Jin Oh KANG ; Yong Moo SUH
Journal of Korean Medical Science 2004;19(5):677-681
Analysis and prediction of the care charges related to colorectal cancer in Korea are important for the allocation of medical resources and the establishment of medical policies because the incidence and the hospital charges for colorectal cancer are rapidly increasing. But the previous studies based on statistical analysis to predictthe hospital charges for patients did not show satisfactory results. Recently, data mining emerges as a new technique to extract knowledge from the huge and diverse medical data. Thus, we built models using data mining techniques to predict hospital charge for the patients. A total of 1,022 admission records with 154 variables of 492 patients were used to build prediction models who had been treated from 1999 to 2002 in the Kyung Hee University Hospital. We built an artificial neural network (ANN) model and a classification and regression tree (CART) model, and compared their prediction accuracy. Linear correlation coefficients were high in both models and the mean absolute errors were similar. But ANN models showed a better linear correlation than CART model (0.813 vs. 0.713 for the hospital charge paid by insurance and 0.746 vs. 0.720 for the hospital charge paid by patients). We suggest that ANN model has a better performance to predict charges of colorectal cancer patients.
Algorithms
;
Colorectal Neoplasms/*economics/epidemiology
;
Comparative Study
;
*Decision Trees
;
*Hospital Charges
;
Humans
;
Incidence
;
Korea/epidemiology
;
*Models, Econometric
;
*Neural Networks (Computer)
;
Predictive Value of Tests
4.Economic Burden of Colorectal Cancer in Korea.
Ju Young BYUN ; Seok Jun YOON ; In Hwan OH ; Young Ae KIM ; Hye Young SEO ; Yo Han LEE
Journal of Preventive Medicine and Public Health 2014;47(2):84-93
OBJECTIVES: The incidence and survival rate of colorectal cancer in Korea are increasing because of improved screening, treatment technologies, and lifestyle changes. In this aging population, increases in economic cost result. This study was conducted to estimate the economic burden of colorectal cancer utilizing claims data from the Health Insurance Review and Assessment Service. METHODS: Economic burdens of colorectal cancer were estimated using prevalence data and patients were defined as those who received ambulatory treatment from medical institutions or who had been hospitalized due to colorectal cancer under the International Classification of Disease 10th revision codes from C18-C21. The economic burdens of colorectal cancer were calculated as direct costs and indirect costs. RESULTS: The prevalence rate (per 100 000 people) of those who were treated for colorectal cancer during 2010 was 165.48. The economic burdens of colorectal cancer in 2010 were 3 trillion and 100 billion Korean won (KRW), respectively. Direct costs included 1 trillion and 960 billion KRW (62.85%), respectively and indirect costs were 1 trillion and 160 billion (37.15%), respectively. CONCLUSIONS: Colorectal cancer has a large economic burden. Efforts should be made to reduce the economic burden of the disease through primary and secondary prevention.
Adolescent
;
Adult
;
Aged
;
Aged, 80 and over
;
Child
;
Child, Preschool
;
Colorectal Neoplasms/*economics/epidemiology
;
*Cost of Illness
;
Female
;
Health Care Costs
;
Health Expenditures
;
Humans
;
Infant
;
Infant, Newborn
;
Male
;
Middle Aged
;
Prevalence
;
Republic of Korea
;
Young Adult