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Introduction of Relative Survival Analysis Program: Using Sample of Cancer Registry Data with Stata Software.
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Kyu Won Jung, Hyun Joo Kong, Seon Hee Yim, Young Joo Won, Joohon Sung, Hai Rim Shin
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Korean J Epidemiol. 2007;29(2):222-229.
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Abstract
Patient survival is one of the most important measures for the evaluation of progress in cancer patient care across the wide spectrum from diagnosis to treatment. The optimal monitoring method for cancer patient survival is to estimate survival based on representative data from cancer patients in the population, which is only achievable through using population-based cancer registration data. Relative survival is used to compare the survival experience in a study cohort that expected to result from background population mortality rates. This technique is useful when the cause of death is not accurate or not available, since it provides a measure of excess mortality in a group of patients with a certain disease. The purpose of this article is to demonstrate the procedures for estimating relative survival using the statistical software Stata. For this survival analysis to show the procedure, the example data set was randomly selected from the National Cancer Incidence Database, which was used in a recent article reporting the overall relative survival of cancer patients diagnosed during 1993-2002 in Korea.
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Regional Variation in Accessing Regional Hospitals for Cancer Patients.
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Yeon Ok Moon, Eun Cheol Park, Hai Rim Shin, Young Joo Won, Kyu Won Jung, Jin Hee Lee, Soon Young Hwang, Hyun Joo Kong, Seung Sik Hwang, Jong Koo Lee, In Sik Kong, Myung Il Hahm
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Korean J Epidemiol. 2006;28(2):152-161.
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OBJECTIVES
To investigate the differences in accessing regional hospitals and the utilization rate of hospitals located in other regions for cancer patients by regions.METHODS Data for the utilization of regional hospitals for cancer patients were obtained from the Korean National Cancer Incidence Databases in 1999 and 2002. We divided the regions into 16 provinces by administrative districts. We using the SAS 9.1.3 to analyze difference of regional self-sufficiency and the Arcview 3.2 to show in a schematize for regional variation of the regional self-sufficiency.RESULTS There were regional variations in the regional self-sufficiency of cancer patients. Especially, Jeollanam-do(1999 13.6%, 2002 12.8%), Gyeongsangbuk-do(1999 22.0%, 2002 20.7%), and Chungcheongnam-do(1999 27.8%, 2002 27.1%) had low regional self-sufficiency. The regional self-sufficiency in Gyeonggi-do and utilization rate of cancer patients who lived in other regions were increased between 1999 and 2002(regional self-sufficiency: 1999 37.2%, 2002 48.2%).CONCLUSION The results of this study showed that there were regional variation in utilization of regional hospitals for cancer patients. Accessibility of cancer patients in metropolitan areas was higher than in small size cities, medium size cities, and rural county areas. These results suggested that it should be considered support medical facilities for cancer patients in rural areas where have lower relevance rate.
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