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.
Background: This study aimed to analyze the impact of community health care resources on the place of death of older adults with dementia compared to those with cancer in South Korea, using public administrative big data. Methods: Based on a literature review, we selected person- and community-level variables that can affect older people's decisions about where to die. Data on place-of-death and person-level attributes were obtained from the 2013 death certification micro data from Statistics Korea. Data on the population and economic and health care resources in the community where the older deceased resided were obtained from various open public administrative big data including databases on the local tax and resident population statistics, health care resources and infrastructure statistics, and long-term care (LTC) insurance statistics. Community-level data were linked to the death certificate micro data through the town (si-gun-gu) code of the residence of the deceased. Multi-level logistic regression models were used to simultaneously estimate the impacts of community as well as individual-level factors on the place of death. Results: In both the dementia (76.1%) and cancer (87.1%) decedent groups, most older people died in the hospital. Among the older deceased with dementia, hospital death was less likely to occur when the older person resided in a community with a higher supply of LTC facility beds, but hospital death was more likely to occur in communities with a higher supply of LTC hospital beds. Similarly, among the cancer group, the likelihood of a hospital death was significantly lower in communities with a higher supply of LTC facility beds, but was higher in communities with a higher supply of acute care hospital beds. As for individual-level factors, being female and having no spouse were associated with the likelihood of hospital death among older people with dementia. Conclusion: More than three in four older people with dementia die in the hospital, while home is reported to be the place of death preferred by Koreans. To decrease this gap, an increase in the supply of end-of-life (EOL) care at home and in community-based service settings is necessary. EOL care should also be incorporated as an essential part of LTC. Changes in the perception of EOL care by older people and their families are also critical in their decisions about the place of death, and should be supported by public education and other related non-medical, social approaches.
An analysis on cause-specific mortality at the provincial level provides essential information for policy formulation and makes it possible to draw hypotheses regarding various diseases and causes of death. Although the mortality level and causes of death at the provincial level are determined by the multiple effects of socioeconomic, cultural, medical and ecological factors, this study primarily intends to examine similarities and differences of cause-specific mortality at the provincial level. Utilizing the registered death and the registered population as of 1998, the delayed death registration and unreported infant deaths were supplemented at the provincial level and age-standardized death rates and life tables were calculated. Regarding the mortality level due to all causes, major findings were as follow: (1) For both sexes as a whole, Seoul showed the lowest mortality level, and Jeonnam showed the highest mortality level; and (2) The differences of the mortality level among provinces were greater for males than females and for those less than 65 years than those 65 years and over. Regarding the cause-specific mortality level revealed in all indicators (cause-specific age-standardized mortality rates and the probability of dying at birth due to a specific cause for males, females, and both sexes combined respectively), the major findings were as follow: (1) The mortality level due to heart diseases was the highest in Busan and the lowest in Gangweon; (2) The mortality level due to liver diseases was the highest in Chonnam; and (3) The mortality level due to traffic accidents was the highest in Chungnam and the lowest in Inchon. As the mortality differentials at the provincial level are related to various factors, exploratory statistical analysis is attempted for the 25 explanatory variables including socioeconomic variables and 90 mortality variables. Mortality due to all causes are related to socioeconomic variables. Among cause-specific mortality, mortality due to liver diseases and traffic accidents is related to socioeconomic variables. Finally, the need to improve the quality of death certificate is discussed.
Kim, Hyun-Joong;Hwang, Se-Min;Lee, In-Young;Cho, Joon-Pil;Kwon, Myoung-Ok;Jung, Jae-Hun;Byun, Ju-Young
Journal of Preventive Medicine and Public Health
/
v.47
no.1
/
pp.47-56
/
2014
Objectives: The purpose of this study was to investigate the current status of and problems with the Safe Community Programs in Gangbuk-gu, one of the 25 districts of the capital city of Korea. Methods: The study subjects were 396 individuals who were involved in Safe Community Programs between 2009 and 2011. We examined the effectiveness and willingness of respondents to participate as a safety leader of the Safe Community Program with a questionnaire. We examined the injury death rates of Gangbuk-gu by using of the death certificate data of Korea's National Statistical Office. Descriptive statistics and chi-squared tests were used. Results: The effectiveness of programs did not differ but active participation differed significantly among subjects (p<0.05). The injury death rate of Gangbuk-gu as a whole increased during the implementation period. However, senior safety, in particular, may be a helpful program for reducing injuries in Gangbuk-gu. Conclusions: This study suggests that the lack of active participation may be a major problem of Safe Community Programs in Gangbuk-gu. Therefore, Safe Community Programs should be expanded to the entire district of Gangbuk-gu and more active participation programs should be developed.
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.
Hyun, Min Kyung;Jung, Kyung Hae;Yun, Young Ho;Kim, Young Ae;Lee, Woo Jin;Do, Young Rok;Lee, Keun Seok;Heo, Dae Seog;Choi, Jong Soo;Kim, Sam Yong;Kim, Heung Tae;Hong, Seok-Won
Asian Pacific Journal of Cancer Prevention
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v.14
no.12
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pp.7309-7314
/
2013
Aim: To investigate factors that affect the place of death (POD) of terminal cancer patients. Materials and Methods: We recruited 702 consecutive patients (${\geq}18$ years) from 12 centers during July 2005 to October 2006, and 481 completed the questionnaire. In April 2011, we linked the data for 96.0% (n=462) of the deceased patients to the POD using the 2005-2009 death certificate data of Korea's National Statistical Office. The primary outcome variable was POD, and the predictive value of variables pertaining to patients and caregivers was evaluated using univariate and multivariate analyses. Results: Most patients died in a hospital (91.5%, n=441) and age, education, preference for place of terminal care, wish to use hospice/palliative care services, terminal cancer awareness, time between diagnosis and death, and global quality-of-life subscale of the EORTC QLQ-C30 of patients, and education and preference for place of terminal care of caregivers were significant predictors in univariate analyses. On multivariate analysis, patients and caregivers who preferred hospital/palliative care as the terminal care option over home care [adjusted odds ratio (aOR), 2.68; 95% confidential interval (CI), 1.18-7.04 and aOR: 2.65; 95%CI: 1.15-6.09 for patient and caregiver preferences, respectively] and caregivers who were highly educated (aOR, 3.19; 95%CI, 1.44-7.06) were predictors of POD. Conclusions: Most of the terminal cancer patients died in a hospital. Our findings indicate that major predictors of hospital deaths are preference of both the patient and caregiver for hospital/palliative care as the terminal care option and higher education of the caregiver.
This paper analyzes the time-shift technique in Joseph Conrad's Lord Jim. Conrad's manipulation of time in this novel is based on his aspiration for how 'to make you see,' which he believes is completed through the harmony form and substance in his works. So Conrad applies this technique which was used earlier by some writers such as Laurence Sterne to his Lord Jim to show its theme more effectively. In Lord Jim, the story consists of two parts; first, Jim jumps from a ship called the Patna and is deprived of his navigation certificate. Secondly, he wins the people's respect in Patusan in which his past related to the Patna remains hidden, but he faces his death by taking responsibility for the death of the chief's son in the island. These events in Lord Jim are not described in chronological order; that is, some events are depicted with the time-shift technique using flashback, association, or fragmentary memory to accelerate the speed of stories as well as to offer the actuality of the events. With this structure, the themes of Jim's story have something to do with his heroic actions and failures. Jim wants to be a hero and after failures he struggles to redeem himself only to fail. In particular, Jim's jump from the Patna is emphasized through the time-shift and it shows there is something incomprehensible in his action. Therefore, Conrad reveals in Lord Jim that Jim is one of us who not only are imperfect but also have the weaknesses inside that can unexpectedly emerge in an instant.
Background: Korea has experienced rapid economic development in a very short period of time. A mixture of traditional and modern risk factors coexists and the rapid change in non-genetic factors interacts with genetic constituents. With consideration of these unique aspects of Korean society, a large-scale genomic cohort study-the Health Examinees (HEXA) Study-has been conducted to investigate epidemiologic characteristics, genomic features, and gene-environment interactions of major chronic diseases including cancer in the Korean population. Materials and Methods: Following a standardized study protocol, the subjects were prospectively recruited from 38 health examination centers and training hospitals throughout the country. An interview-based questionnaire survey was conducted to collect information on socio-demographic characteristics, medical history, medication usage, family history, lifestyle factors, diet, physical activity, and reproductive factors for women. Various biological specimens (i.e., plasma, serum, buffy coat, blood cells, genomic DNA, and urine) were collected for biorepository according to the standardized protocol. Skilled medical staff also performed physical examinations. Results: Between 2004 and 2013, a total of 167,169 subjects aged 40-69 years were recruited for the HEXA study. Participants are being followed up utilizing active and passive methods. The first wave of active follow-up began in 2012 and it will be continued until 2015. The principal purpose of passive follow-up is based on data linkages with the National Death Certificate, the National Cancer Registry, and the National Health Insurance Claim data. Conclusions: The HEXA study will render an opportunity to investigate biomarkers of early health index and the chronological changes associated with chronic diseases.
Objectives : To estimate the weighting for the disability caused by major cancers in Korea using the Delphi method. Methods : We selected 19 panelists to estimate the disability weighting of major cancers in Korea by using the Delphi method. To select the relevant kinds of cancers, we used National Death Certificate Data produced by the National Statistical Office in 1996. Then the stability of each delphi round was calculated by using the coefficient of variance. Results : The disability weight of major cancers for males was pancreas cancer(0.36), liver cancer(0.35), esophageal cancer(0.30), stomach cancer(0.27), lung cancer(0.26), and colorectal cancer(0.30). The disability weight of major cancers fer females was pancreas cancer(0.36), liver cancer(0.34), esophageal cancer(0.29), stomach cancer(0.28), lung cancer(0.26), and colorecial cancer(0.28). Conclusion : The results of this study will provide baseline data useful for the measurement of the burden of disease caused by cancers in Korea.
Objectives: Studies on the geographical differences in mortality tend to use a census population, rather than a registration population, as the denominator of mortality rates in South Korea. However, an administratively determined registration population would be the logical denominator, as the geographical areas for death certificates (numerator) have been determined by the administratively registered residence of the deceased, rather than the actual residence at the time of death. The purpose of this study was to examine the differences in the total number of a district population, and the associated district-specific mortality indicators, when two different measures as a population denominator (census and registration) were used. Methods: Population denominators were obtained from census and registration population data, and the numbers of deaths (numerators) were calculated from raw death certificate data. Sex- and 5-year age-specific numbers for the populations and deaths were used to compute sex- and age-standardized mortality rates (by direct standardization methods) and standardized mortality ratios (by indirect standardization methods). Bland-Altman tests were used to compare district populations and district-specific mortality indicators according to the two different population denominators. Results : In 1995, 9 of 232 (3.9%) districts were not included in the 95% confidence interval (CI) of the population differences. A total of 8 (3.4%) among 234 districts had large differences between their census and registration populations in 2000, which exceeded the 95% CI of the population differences. Most districts (13 of 17) exceeding the 95% CI were rural. The results of the sex- and age-standardized mortality rates showed 15 (6.5%) and 16 (6.8%) districts in 1995 and 2000, respectively, were not included in the 95% CI of the differences in their rates. In addition, the differences in the standardized mortality ratios using the two different population denominators were significantly greater among 14 districts in 1995 and 11 districts in 2002 than the 95% CI. Geographical variations in the mortality indicators, using a registration population, were greater than when using a census population. Conclusion: The use of census population denominators may provide biased geographical mortality indicators. The geographical mortality rates when using registration population denominators are logical, but do not necessarily represent the exact mortality rate of a certain district. The removal of districts with large differences between their census and registration populations or associated mortality indicators should be considered to monitor geographical mortality rates in South Korea.
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