• Journal of Preventive Medicine and Public Health
• /
• v.29 no.2 s.53
• /
• pp.227-238
• /
• 1996

This study was conducted to evaluate the accuracy of the official death registry in rural area. The base data used for the study was 379 deaths registered during the period of 1993 and 1994 in 4 rural townships of Chonnam province. The interview survey for cause-of-death was performed on the next of kin and/or neighbor. Additional medical informations were collected from hospitals and medical insurance associations for the purpose of verification. The underlying cause-of-death of 278 cases presumed by the survey was compared to the cause on official death registry. There was a prominent disagreement of cause-of-death between the survey data and the registry data(agreement rate: $38.9\sim44.6%$, according to disease classification method). These results may be caused by extremely low rates of physicians' certification, which were mostly confined to the poisoning and injury. Symptoms, signs, and ill defined conditions on death registry could be classified into circulatory disease(32.3%), neoplasm(21.2%), digestive disease(7.1%), injury and poisoning(7.1%) and so on. These results suggest that careful attention and verification be required on utilization of death registry data in rural area.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.11
• /
• pp.5681-5685
• /
• 2012

Three kinds of survival rates are generally used depending on the purpose of the investigation: overall, cause-specific, and relative. The differences among these 3 survival rates are derived from their respective formulas; however, reports based on actual cancer registry data are few because of incomplete information and short follow-up duration recorded on cancer registration. The aim of this study was to numerically and visually compare these 3 survival rates on the basis of data from the Nagasaki Prefecture Cancer Registry. Subjects were patients diagnosed with cancer and registered in the registry between 1999 and 2003. We calculated the proportion of cause of death and 5-year survival rates. For lung, liver, or advanced stage cancers, the proportions of cancer-related death were high and the differences in survival rates were small. For prostate or early stage cancers, the proportions of death from other causes were high and the differences in survival rates were large. We concluded that the differences among the 3 survival rates increased when the proportion of death from other causes increased.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.8
• /
• pp.3617-3619
• /
• 2012

Background: The completeness of cancer registration is a major validity index of any reported cancer incidence. The present study aimed to evaluate the esophageal cancer incidence registered in the Tehran Metropolitan Area Cancer Registry. Materials and methods: The data on esophageal cancer abstracted from three sources of 1) pathology departments, 2) medical records, and 3) death certificates during 2003 till 2007 were utilized. The completeness of the data sources were evaluated using coverage (defined as the proportion of a community population with esophageal cancer identified by the source) and density (defined as the proportion of non-empty fields of the data by source). Results: A total 1,404 cases of esophageal cancer were reported for the duration of the study. Pathology provided 771, medical records 432, and death certificates 609. The coverage was 0.55 for pathology, 0.31 for medical records, and 0.43 for death certificates. The respective density values were 0.82, 0.96 and 0.98, respectively. Pathology (0.45) was the most complete source followed by medical records (0.42), and death certificates (0.29). Discussion: A low degree of completeness dictates putting more effort into case finding plus abstracting data more thoroughly.

• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.6
• /
• pp.2841-2846
• /
• 2016

Background: Tobacco use is the single most important preventable risk factor for cancer. Surveillance of tobacco-related cancers (TRC) is critical for monitoring trends and evaluating tobacco control programmes. We analysed the trends of TRC and evaluated the population-based cancer registry (PBCR) in Delhi for simplicity, comparability, validity, timeliness and representativeness. Materials and Methods: We interviewed key informants, observed registry processes and analysed the PBCR dataset for the period 1988-2009 using the 2009 TRC definition of the International Agency for Research on Cancer. We calculated the percentages of morphologically verified cancers, death certificate-only (DCO) cases, missing values of key variables and the time between cancer diagnosis and registration or publication for the year 2009. Results: The number of new cancer cases increased from 5,854 to 15,244 (160%) during 1988-2009. TRC constituted 58% of all cancers among men and 47% among women in 2009. The age-adjusted incidence rates of TRC per 100,000 population increased from 64.2 to 97.3 among men, and from 66.2 to 69.2 among women during 1988-2009. Data on all cancer cases presenting at all major government and private health facilities are actively collected by the PBCR staff using standard paper-based forms. Data abstraction and coding is conducted manually following ICD-10 classifications. Eighty per cent of cases were morphologically verified and 1% were identified by death certificate only. Less than 1% of key variables had missing values. The median time to registration and publishing was 13 and 32 months, respectively. Conclusions: The burden of TRC in Delhi is high and increasing. The Delhi PBCR is well organized and generates high-quality, representative data. However, data could be published earlier if paper-based data are replaced by electronic data abstraction.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.18
• /
• pp.7985-7987
• /
• 2014

Introduction: Khon Kaen Cancer Registry (KKCR) was established in 1984. KKCR aims to collect all cancer cases in Khon Kaen Province. The poorly qualified data may lead to distort the cancer burden and misinterpretation of policy maker. Objective: To assess data quality in childhood cancer between 1990 and 2007 in Khon Kaen Province, Thailand. Materials and Methods: Data of childhood cancer cases aged less than 20 years diagnosed during 1990-2007 were retrieved from the population-based data set of KKCR. All childhood cancer data were verified before data entry. Internal consistency, percentage of morphological verification (MV%) and cancer cased of the basis of diagnosis by death certificate only (DCO%) were evaluated. The age-adjusted rate (ASR) was calculated by standard method. Results: The data of childhood cancer from KKCR is acceptably qualified which reflects the quality of the whole registration.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.4
• /
• pp.1709-1710
• /
• 2012

Cancer is a major public health problem in Indonesia, becoming the 7th largest cause of death based on a national survey in 2007, accounting for 5.7 of all mortality. A cancer registry was started in 1970, but it was partial and was stopped mainly because no government body was responsible. Realizing the above situation, the Indonesian government established the Sub Directorate of Cancer Control within the Ministry of Health, with responsibility for developing a national cancer control program, including a cancer registry. A sustainable cancer registry was then started in 2007 within Jakarta Province, first hospital-based but then expanded to be population-based. Steps of cancer registration in Jakarta are data collection, data verification, data validation, data management and analysis, and data publication. Data collection is conducted by health facilities (hospitals, laboratories, primary health centers) at the district/municipal level, with reports to the provincial level. Data are collected passively by holding meetings every three months in the district/municipality. Verification of data is the responsibility of the medical doctor or pathologist in each data source. Data validation is conducted by a team in the cancer registry, consisting of district/municipal/province health officers, pathologists, and registrars. Data management and analyses are conducted by a cancer registry team at the provincial level, assisted by the national team. We use software named Indonesian Cancer Registry System (SRIKANDI) which is adopted from CanReg4 IARC. Data from the population-based cancer registry in Jakarta Province showed the leading cancers among females in 2005-2007 to be breast cancer, cervical cancer, ovarian cancer, colorectal cancer and among males are bronchus and lung cancer, colorectal cancer, liver cancer, pharyngeal cancer, and prostate cancer. The leading childhood cancers are leukaemia and retinoblastoma.

• 대한예방의학회:학술대회논문집
• /
• 2001.10a
• /
• pp.436-436
• /
• 2001

• Journal of Preventive Medicine and Public Health
• /
• v.38 no.1
• /
• pp.9-15
• /
• 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
• /
• v.17 no.7
• /
• pp.3123-3129
• /
• 2016

Background: Cancer is the fourth leading cause of death in Sabah Malaysia with a reported age-standardized incidence rate was 104.9 per 100,000 in 2007. The incidence rate depends on non-mandatory notification in the registry. Under-reporting will provide the false picture of cancer control program effectiveness. The present study was to evaluate the performance of the cancer registry system in terms of representativeness, data quality, simplicity, acceptability and timeliness and provision of recommendations for improvement. Materials and Methods: The evaluation was conducted among key informants in the National Cancer Registry (NCR) and reporting facilities from Feb-May 2012 and was based on US CDC guidelines. Representativeness was assessed by matching cancer case in the Health Information System (HIS) and state pathology records with those in NCR. Data quality was measured through case finding and re-abstracting of medical records by independent auditors. The re-abstracting portion comprised 15 data items. Self-administered questionnaires were used to assess simplicity and acceptability. Timeliness was measured from date of diagnosis to date of notification received and data dissemination. Results: Of 4613 cancer cases reported in HIS, 83.3% were matched with cancer registry. In the state pathology centre, 99.8% was notified to registry. Duplication of notification was 3%. Data completeness calculated for 104 samples was 63.4%. Registrars perceived simplicity in coding diagnosis as moderate. Notification process was moderately acceptable. Median duration of interval 1 was 5.7 months. Conclusions: The performances of registry's attributes are fairly positive in terms of simplicity, case reporting sensitivity, and predictive value positive. It is moderately acceptable, data completeness and inflexible. The usefulness of registry is the area of concern to achieve registry objectives. Timeliness of reporting is within international standard, whereas timeliness to data dissemination was longer up to 4 years. Integration between existing HIS and national registration department will improve data quality.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.5
• /
• pp.1981-1986
• /
• 2015

Background: Knowledge of cancer incidences is essential for cancer prevention and control programs. Capture-recapture methods have been recommended for reducing bias and increasing the accuracy of cancer incidence estimations. This study aimed to estimate the completeness of gastric cancer registration by the capture-recapture method based on Ardabil population-based cancer registry data. Materials and Methods: All new cases of gastric cancer reported by three sources, pathology reports, death certificates and medical records that reported to Ardabil population-based cancer registry in 2006 and 2008 were enrolled in the study. The duplicate cases based on the similarity of first name, surname and fathers names were identified between sources. The estimated number of gastric cancers was calculated by the log-linear method using Stata 12 software. Results: A total of 857 new cases of gastric cancer were reported from three sources. After removing duplicates, the reported incidence rates for the years 2006 and 2008 were 35.3 and 32.5 per 100,000 population, respectively. The estimated completeness calculated by log-linear method for these years was 36.7 and 36.0, respectively. Conclusions: These results indicate that none of the sources of pathology reports, death certificates and medical records individually or collectively fully cover the incident cases of gastric cancer. We can obtain more accurate estimates of incidence rates using the capture-recapture method.