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상대생존율 분석을 위한 통계프로그램 - 암등록자료를 활용한 Stata software 프로그램 예
정규원(Kyu-Won Jung),공현주(Hyun-Joo Kong),임선희(Seon-Hee Yim),원영주(Young-Joo Won),성주헌(Joohon Sung),신해림(Hai-Rim Shin) 한국역학회 2007 Epidemiology and Health Vol.29 No.2
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.
국가 암 발생 데이터베이스에 등록된 암환자의 연령군별 생존율: 기간 분석 방식에 의한 1997년과 2002년도 생존율 비교
임선의,정규원,원영주,공현주,신혜림,Yim, Seon-Hee,Jung, Kyu-Won,Won, Young-Joo,Kong, Hyun-Joo,Shin, Hai-Rim 대한예방의학회 2008 예방의학회지 Vol.41 No.1
Objectives : Period analysis estimates up-to-date survival rates of cancer patients. In this approach, analysis is restricted to recent time period by left-truncating all observations at the beginning of the period and right-censoring at its end. Here, we applied period analysis to examine changes in 5-year relative survival (RS) by age group for 1997 and for 2002. Methods : Using the National Cancer Incidence Database, 5-year RS was estimated for 1997 and 2002 in four age groups (15-54, 55-64, 65-74, and 75 years old and over) using period analysis. After excluding death certificate-only cases, patients with an unknown date of diagnosis or follow-up length, a total of 813,889 patients diagnosed with a first primary invasive cancer during 1992 2002 were included for analysis. Followup for vital status was included until 31 December 2002. Results : Five-year RS increased from 41.7% for 1997 to 46.7% for 2002. Increases in survival occurred in all age groups except in the 75 and over group. Conclusions : The age gradient in cancer prognosis seems to have widened between 1997 and 2002, a finding that requires further study of prognostic factors, including stage at diagnosis. Period analysis accurately estimates survival rates, especially for cancers with better prognosis.
군 건강검진 결과 모바일 전송을 통한 상병건강검진 체계 개선방안
김중일 ( Kim Jung-il ),김연용 ( Kim Yeon-yong ),오수미 ( Oh Su-mi ),원영주 ( Won Young-joo ),박성환 ( Kim Min-seong ),김민성 ( Park Sung-hwan ),정주희 ( Jeong Ju-hee ),오대근 ( Oh Dae-geun ) 국군의무사령부 2020 대한군진의학학술지 Vol.51 No.1
Objective; The purpose of this study was to improve the notification system of Corporal Medical Check-up (CMC) results by comparing and analyzing the satisfaction level, based on the method of examination result distribution. The Republic of Korea army adopted CMC since 2013, contributing to the maintenance of the best combat power. Transmitting CMC results through mobile services became possible recently since rank and file soldiers gained access to mobile phones after work hours. Method; This study was performed using a 4-sectioned survey, including the general awareness of CMC to a subject of 100 soldiers who received CMC results by official paper document and another 100 through mobile service, in cooperation with PEERNINE Co. After omitting nonresponders, 95 and 93 soldiers' data of each method were collected and analyzed using SAS 94. Results; The data analyzing the satisfaction level based on the methods of receiving CMC results showed that distribution of medial results through mobile service outperformed overall positive figures in comparison to the method of receiving results by official document paper. Conclusion; Based on the result of this study, the military needs to actively review the following three points. First, mobile transmission system should be introduced in the notification method of medical check up results. Second, health examination should be considered in the promotion factor of soldiers. Third, post management services should be provided. These improvements will greatly contribute to the improvement of military combat power.
문연옥(Yeon Ok Moon),박은철(Eun Cheol Park),신해림(Hai Rim Shin),원영주(Young Joo Won),정규원(Kyu Won Jung),황순영(Soon Young Hwang),이진희(Jin Hee Lee),공현주(Hyun Joo Kong),황승식(Seung Sik Hwang),이종구(Jong Koo Lee),공인식(In Sik 한국역학회 2006 Epidemiology and Health Vol.28 No.2
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, Jeollanamdo(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.