Evaluation of Treatment Underreporting Using SEER-Medicare Data

本研究的主要目标是(1)与SEER工作组和NCI密切合作，开发和实施将应用于SEER- medicare数据的算法，以识别1992-2009年间诊断出接受放疗、化疗、激素和/或免疫治疗的少突胶质细胞瘤、女性乳房和子宫内膜癌和前列腺癌；(2)定义将附加信息纳入SEER*DMS中现有SEER治疗变量的过程。

The primary objectives of this study are to (1) work closely with the SEER working groups and NCI to develop and implement algorithms that would be applied to SEER-Medicare data to identify oligodendrogliomas, female breast and endometrial, and prostate cancers diagnosed from 1992-2009 that received radiation, chemotherapy, hormone, and/or immunotherapy treatment; and, (2) define the process for incorporating additional information into the existing SEER treatment variables in SEER*DMS.