Evaluation of Treatment Underreporting Using SEER-Medicare Data

本研究的主要目的是对与医疗保险索赔数据相关的GBACR数据进行描述性分析；与SEER工作组和NCI分享结果；与SEER工作组和NCI密切合作，开发和实施可应用于SEER- medicare数据的算法，以识别接受过放疗、化疗或激素治疗（前列腺癌）的病例；并定义将附加信息常规纳入现有SEER治疗变量的过程。所开发的方法将提高登记处识别登记数据库中可能缺少化疗、放疗和激素治疗信息的病例的能力。

The primary objective of this study is to conduct descriptive analyses of GBACR data linked to Medicare claims data; to share the results with the SEER working groups and NCI; to work closely with the SEER working groups and NCI to develop and implement algorithms that could be applied to SEER-Medicare data to identify cases that had received radiation, chemotherapy, or hormone therapy (for prostate cancer); and to define the process for routinely incorporating additional information into the existing SEER treatment variables. The methods developed shall enhance the Registry¿s ability to identify cases that may be missing chemotherapy, radiation, and hormone treatment information in the registry database.