BACKGROUND: The Surveillance, Epidemiology and End Results (SEER)-Medicare-linked database combines clinical information from population-based cancer registries with claims information from the Medicare program. The use of this database to study cancer screening, treatment, outcomes, and costs has grown in recent years. RESEARCH DESIGN: This paper provides an overview of the SEER-Medicare files for investigators interested in using these data for epidemiologic and health services research. The overview includes a description of the linkage of SEER and Medicare data and the files included as part of SEER-Medicare. The paper also describes the types of research projects that have been undertaken using the SEER-Medicare data. The overview concludes with a comparison of selected characteristics of elderly persons residing in the SEER areas to the US total aged. RESULTS: The paper identifies a number of potential uses of the SEER-Medicare data. The comparison of the elderly population in SEER areas to the US total shows that in the SEER areas there are a lower percentage of white persons and individuals living in poverty, and a higher percentage of urban-dwellers than the US total. Elderly persons in the SEER regions also have higher rates of HMO enrollment and lower rates of cancer mortality. CONCLUSIONS: The SEER-Medicare data are a unique resource that can be used for a variety of health services research projects. Although there are some differences between the elderly residing in the SEER areas and the US total, the SEER-Medicare data offer a large population-based cohort that can be used to longitudinally track care for persons over the course of cancer diagnosis, treatment, and follow-up.
BACKGROUND: The Surveillance, Epidemiology and End Results (SEER)-Medicare-linked database combines clinical information from population-based cancer registries with claims information from the Medicare program. The use of this database to study cancer screening, treatment, outcomes, and costs has grown in recent years. RESEARCH DESIGN: This paper provides an overview of the SEER-Medicare files for investigators interested in using these data for epidemiologic and health services research. The overview includes a description of the linkage of SEER and Medicare data and the files included as part of SEER-Medicare. The paper also describes the types of research projects that have been undertaken using the SEER-Medicare data. The overview concludes with a comparison of selected characteristics of elderly persons residing in the SEER areas to the US total aged. RESULTS: The paper identifies a number of potential uses of the SEER-Medicare data. The comparison of the elderly population in SEER areas to the US total shows that in the SEER areas there are a lower percentage of white persons and individuals living in poverty, and a higher percentage of urban-dwellers than the US total. Elderly persons in the SEER regions also have higher rates of HMO enrollment and lower rates of cancer mortality. CONCLUSIONS: The SEER-Medicare data are a unique resource that can be used for a variety of health services research projects. Although there are some differences between the elderly residing in the SEER areas and the US total, the SEER-Medicare data offer a large population-based cohort that can be used to longitudinally track care for persons over the course of cancer diagnosis, treatment, and follow-up.
Authors: Hanna K Sanoff; William R Carpenter; Til Stürmer; Richard M Goldberg; Christopher F Martin; Jason P Fine; Nadine Jackson McCleary; Jeffrey A Meyerhardt; Joyce Niland; Katherine L Kahn; Maria J Schymura; Deborah Schrag Journal: J Clin Oncol Date: 2012-06-04 Impact factor: 44.544
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Authors: Michaela A Dinan; Yanhong Li; Yinghong Zhang; Suzanne B Stewart; Lesley H Curtis; Daniel J George; Shelby D Reed Journal: Clin Genitourin Cancer Date: 2015-08-06 Impact factor: 2.872
Authors: Beth M Beadle; Kai-Ping Liao; Sharon H Giordano; Adam S Garden; Katherine A Hutcheson; Stephen Y Lai; B Ashleigh Guadagnolo Journal: Cancer Date: 2016-09-23 Impact factor: 6.860