• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.305-308
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• 2012

Objective: To assess the health and economic burden of human papillomavirus (HPV)-related diseases (cervical cancer, cervical intraepithelial neoplasia (CIN) 1/2/3, and genital warts) in Singapore over a period of 25 years beginning in 2008. Methods: Incidence-based modeling was used to estimate the incidence cases and associated economic burden, with the assumption that age-stratified incidence rates will remain the same throughout the period of 25 years. The incidence rates in 2008 were projected based on data obtained from the National Cancer Registry for cervical cancer, and from a combination of published data and hospital registry review for CIN1/2/3 and genital warts. The population growth rate was factored into the projection of incidence cases over time. Direct cost data per cervical cancer and per CIN1/2/3 case were obtained from the financial database of large local hospitals while cost data for genital warts were obtained from the National Skin Center; these costs were multiplied by the number of incidence cases to produce an aggregate estimate of the economic burden over the 25-year period (in 2008 Singapore dollars) using a 3% discount rate. Results: The total number of incidence cases of HPV-disease over 25 years beginning in 2008 was estimated to be 60,183, including 8,078 for cervical cancer, 11,685 for CIN 2/3, 8,849 for CIN1, and 31,572 for genital warts. The estimated total direct cost was 83.2 million Singapore Dollars over 25 years: 57.6 million attributable to cervical cancer, 13.0 million to CIN2/3, 6.83 million to CIN1, and 5.70 million to genital warts. Conclusion: HPV-related diseases are expected to impose significant health and economic burden on the Singapore healthcare resources in the next 25 years.

• Health Policy and Management
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• v.21 no.3
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• pp.397-413
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• 2011

Purpose: The purpose of this study is to examine the relationship between the income level and the healthcare utilization by health insurance type in all cancer patients in year 2005. Methods: The target population was cancer patients with health insurance who used healthcare as a diagnosis code (C00-C97) from January 1 to December 31 of 2005. The Korea Central Cancer Registry Center's Cancer Patient Registry Data, the list of cancer patients of the National Health Insurance Corporation, and the claim data of the Health Insurance Review & Assessment Service were used. The I was the wealthiest, followed by II, III, IV. The V was the poorest in this study. For the analysis, the $x^2$-test, ANOVA (and Kruskal-Wallis test), and regression were used. Results: Outpatient and hospitalization medical expenses, and outpatient visit days of cancer patients with self-employed health insurance were highest in I (p<.001, respectively), and the hospitalization days were the highest in II (p<.001, respectively). Outpatient and hospitalization medical expenses, and outpatient visit and hospitalization days of cancer patients with occupational health insurance were the highest in I (p<.001, respectively). Outpatient and hospitalization medical expenses, and outpatient visit and hospitalization days in cancer patients were higher in I compared to V, and higher in II and III, IV compared to V (p<.001, respectively). Conclusion: Supporting plan for cancer patients' outpatient healthcare utilization are necessary. Moreover, we should make specialized strategy for low income cancer patients with self-employed health insurance when we develop quality improvement policy for inpatient service.

• Journal of Preventive Medicine and Public Health
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• v.42 no.2
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• pp.130-134
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• 2009

Objectives : A method of estimation using 8 populationbased cancer registries databases in Korea(KRCR DB) has been introduced as another strategy for validly estimating the national cancer incidence(NCI) in Korea. The purpose of this study was to evaluate the validity of this method with using the 7 KRCR DBs, excluding Seoul covering 21% of the total population of Korea. Methods : We designed the study method(NCSE_7) as same as the estimating method with using 8 KRCR DBs (NCSE_8) in order to ensure maximal comparability. We defined the expected number of cancer cases in each registry as the number of observed cases and then we added the weighted observed cases according to gender, age and the proportion of the population covered by each registry for the population of the seven regions and the population of all areas, with excluding these seven regions. From the expected number of total cancer incidents, the estimated NCI was calculated by dividing the expected number of cancer cases by the number of the total population. The standard error(SE) of the estimated incidence was also taken from the expected number of total cancer incidents. Results : Compared with the results of the NCSE_8, the overall age-standardized rates(ASR) in men and women became over-estimated and under-estimated, respectively. Primary sites that showed statistically significant differences were the colo-rectum, prostate, breast and thyroid. The index of death certificate only(DCO)and microscopically verified(MV)% indicating levels of data quality were decreased, especially for the brain in DCO% and kidney in the MV%. Conclusions : The database of Seoul regional cancer registry has a key role for the method to estimate the valid nationwide cancer statistics in Korea with using the population-based cancer registries databases.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1295-1301
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• 2015

Background: Cancer imposes a significant economic burden on individuals, families and society. The purpose of this study was to estimate the economic burden of cancer using the healthcare claims and cancer registry data in Korea in 2009. Materials and Methods: The economic burden of cancer was estimated using the prevalence data where patients were identified in the Korean Central Cancer Registry. We estimated the medical, non-medical, morbidity and mortality cost due to lost productivity. Medical costs were calculated using the healthcare claims data obtained from the Korean National Health Insurance (KNHI) Corporation. Non-medical costs included the cost of transportation to visit health providers, costs associated with caregiving for cancer patients, and costs for complementary and alternative medicine (CAM). Data acquired from the Korean National Statistics Office and Ministry of Labor were used to calculate the life expectancy at the time of death, age- and gender-specific wages on average, adjusted for unemployment and labor force participation rate. Sensitivity analysis was performed to derive the current value of foregone future earnings due to premature death, discounted at 3% and 5%. Results: In 2009, estimated total economic cost of cancer amounted to $17.3 billion at a 3% discount rate. Medical care accounted for 28.3% of total costs, followed by non-medical (17.2%), morbidity (24.2%) and mortality (30.3%) costs. Conclusions: Given that the direct medical cost sharply increased over the last decade, we must strive to construct a sustainable health care system that provides better care while lowering the cost. In addition, a comprehensive cancer survivorship policy aimed at lower caregiving cost and higher rate of return to work has become more important than previously considered.

• Journal of Preventive Medicine and Public Health
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• v.38 no.1
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• pp.9-15
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• 2005

Objectives : To analyze medical expenses by cancer site and survival time among cancer patients in their last year of life. Method : The study subjects were 45,394 people that had died of cancers in 2002, were registered by the Korea Central Cancer Registry and received National Health Insurance benefit in the last year (360 days) of life. Personal identification data, general characteristics, dates of death and cancer incidence, and site of cancer were collected from the National Statistical Office and the Korea Central Cancer Registry, and merged with the data of the individual medical expenses of the Health Insurance Review Agency. Results : Average monthly cost curves were U-shaped with high costs near the time of diagnosis and death, and lower costs in between. Medical expenses in the last year of life were around 30.3, 16.7, 13.0, and 12.1 million won among leukemia, lymphoma, ovarian cancer, and breast cancer patients, respectively. Digestive organ cancers including stomach, esophagus, liver, pancreas, and colorectal cancers had relatively low medical expenses. Medical expenses in the last year of life were inverse U-shaped with high expenses near one year of survival. Average monthly cost in the 12 months before death among the patients who had survived $10{\sim}15$ years were more than two-fold greater than the cost before diagnosis among those who had survived for less than one year. Conclusions : Leukemia was the most expensive cancer. It is possible that once diagnosed as cancer, medical expenses do not return to the level before diagnosis. Further research will be needed to understand the magnitude and change of the medical expenses among cancer patients with long term follow up data.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.10
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• pp.4775-4782
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• 2016

Background: Cancer incidence data are vital for cancer control planning in any nation. This retrospective study was conducted to compare the cancer incidence of all sites between the first cancer registry report and the most recent example in Nepal. Material and Methods: The cases in the first (2003) and latest (2013) national cancer registry reports, accumulated by all the hospital based cancer registries in Nepal were taken for the research. The frequencies, crude incidences and age specific incidences (per 100,000) of the five major cancers were calculated for both males and females. Result: The most common cancer type for males in both years 2003 and 2013 was lung. Stomach was the third most common cancer in 2003 while it was the second in 2013. Similarly, the first four major cancers (cervix, breast, lung and ovary) did not change between 2003 and 2013 in females. The total cancer incidence rate increased from 12.8 in 2003 to 30.4 per 100,000 in 2013 for males and from 15.1 to 33.3 in females. Conclusion: The most common cancers in males in 2003 and 2013 were the bronchus and lung. Similarly, the most common cancer in females was cervix at both time points. The cancer incidence rate in females was higher than in males both in 2003 and 2013.

• Journal of Preventive Medicine and Public Health
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• v.41 no.6
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• pp.380-386
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• 2008

Objectives: Valid data on the national cancer incidence (NCI) is the data should be needed to plan, monitor and evaluate the national cancer control programs. The purpose of this study was to estimate the NCI for 2000-2002 from 8 population-based cancer registries database in Korea (KRCR DB). Methods: We defined the expected number of cancer cases in each registry as the number of observed cases and then adding to the weighted observed cases, according to sex, age groups, and the proportion of the population covered by each registry for the population of the eight regions and the population of all areas with excluding the 8 regions. From the expected number of total cancer incidents, he estimated NCI was calculated by dividing the expected number of cancer cases by he umber of the total population. The standard error (SE) of the estimated incidence was also taken from the expected number of total cancer incidents. Results: The overall estimated crude rates in 2000-2002 ere 267.1 and 219.0 per 100,000 for men and women, respectively. The overall age-standardized rates (ASR) were 290.1 and 180.7 per 100,000, respectively. Compared with the ASRs obtained from Korea National Cancer Incidence database (KNCI DB), the estimated ASRs from the KRCR DB did not show statistically significant differences except for some cancers in women. For the aspect of the SE, index of DCO(death certificate only) and of MV(microscopically verified), the estimated ASRs from the KRCR DB are more accurate and they have higher quality rather than the calculated ASRs from the KNCI DB. Conclusions: We found that this developed method using the KRCR DB is valid and it could be another strategy for estimating the NCI in Korea.

• Tuberculosis and Respiratory Diseases
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• v.82 no.3
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• pp.266-267
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• 2019

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.6035-6040
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• 2013

Background: Cancer is a complex disease caused by multiple factors, both genetic and environmental. It is a major health concern worldwide, in the Middle East and in Jordan specifically and the fourth most common killer in the Middle East. Hypothesis: The relative genetic homogeneity of the Circassian and Chechan populations in Jordan results in incidences of cancer that differ from the general Jordanian population, who are mostly Arabs. Materials and Methods: National Cancer Registry data were obtained for the years 1996-2005 The Chechen and Circassian cancer cases were identified and cancer registry data were divided into three populations. Crude rates were calculated based on the number of cancer cases and estimated populations. Results: Breast cancer is the most common cancer type constituting about one third of female cancers in all three populations. Higher crude rates are observed in the Circassian and Chechen populations than in the Arab Jordanian population. The rate ratios (95%CI) in Circassians and Chechens with respect to the Arab Jordanian population are 2.1 (1.48, 2.72) and 1.81 (1.16, 2.85), respectively. Lung cancer is the most common cancer in male Arab Jordanians and Chechens with crude rates of 4.2 and 8.0 per 100,000 respectively. The male to female ratio in these two populations in respective order are 5:1 and 7:1. The lung cancer crude rate in Circassians is 6.5 per 100,000 with a male to female ratio of only 1.6:1. The colorectal cancer crude rates in Arab Jordanians and Chechens are similar at 6.2 and 6.0 per 100,000, respectively, while that in Circassians is twice as high. Conclusions: Considerable ethnic variation exists for cancer incidence rates in Jordan. The included inbred and selected populations offer an ideal situation for investigating genetic factors involved in various cancer types.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.7
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• pp.4455-4457
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• 2013

In the new millennium people are facing serious challenges in health care, especially with increasing non-communicable diseases (NCD). One of the most common NCDs is cancer which is the leading cause of death in developed countries and in developing countries is the second cause of death after heart diseases. Cancer registry can make possible the analysis, comparison and development of national and international cancer strategies and planning. Information technology has a vital role in quality improvement and facility of cancer registries. With the use of IT, in addition to gaining general benefits such as monitoring rates of cancer incidence and identifying planning priorities we can also gain specific advantages such as collecting information for a lifetime, creating tele medical records, possibility of access to information by patient, patient empowerment, and decreasing medical errors. In spite of the powerful role of IT, we confront various challenges such as general problems, like privacy of the patient, and specific problems, including possibility of violating patients rights through misrepresentation, omission of human relationships, and decrease in face to face communication between doctors and patients. By implementing appropriate strategies, such as identifying authentication levels, controlling approaches, coding data, and considering technical and content standards, we can optimize the use of IT. The aim of this paper is to emphasize the need for identifying positive and negative effects of modern IT on cancer registry in general and specific aspects as an approach to cancer care management.