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监测、流行病学与最终结果(SEER)治疗数据与医疗保险理赔数据的比较

Comparison of SEER Treatment Data With Medicare Claims.

作者信息

Noone Anne-Michelle, Lund Jennifer L, Mariotto Angela, Cronin Kathleen, McNeel Timothy, Deapen Dennis, Warren Joan L

机构信息

*Division of Cancer Control and Population Sciences, Surveillance Research Program, National Cancer Institute, Bethesda, MD †Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC ‡Information Management Services Inc., Calverton, MD §Los Angeles Cancer Surveillance Program, Keck School of Medicine, University of Southern California, Los Angeles, CA ∥Division of Cancer Control and Population Sciences, Applied Research Program, National Cancer Institute, Bethesda, MD.

出版信息

Med Care. 2016 Sep;54(9):e55-64. doi: 10.1097/MLR.0000000000000073.

Abstract

BACKGROUND

The population-based Surveillance, Epidemiology, and End Results (SEER) registries collect information on first-course treatment, including surgery, chemotherapy, radiation therapy, and hormone therapy. However, the SEER program does not release data on chemotherapy or hormone therapy due to uncertainties regarding data completeness. Activities are ongoing to investigate the opportunity to supplement SEER treatment data with other data sources.

METHODS

Using the linked SEER-Medicare data, we examined the validity of the SEER data to identify receipt of chemotherapy and radiation therapy among those aged 65 and older diagnosed from 2000 to 2006 with bladder, female breast, colorectal, lung, ovarian, pancreas, or prostate cancer and hormone therapy among men diagnosed with prostate cancer at age 65 or older. Treatment collected by SEER was compared with treatment as determined by Medicare claims, using Medicare claims as the gold standard. The κ, sensitivity, specificity, positive predictive values, and negative predictive values were calculated for the receipt of each treatment modality.

RESULTS

The overall sensitivity of SEER data to identify chemotherapy, radiation, and hormone therapy receipt was moderate (68%, 80%, and 69%, respectively) and varied by cancer site, stage, and patient characteristics. The overall positive predictive value was high (>85%) for all treatment types and cancer sites except chemotherapy for prostate cancer.

CONCLUSIONS

SEER data should not generally be used for comparisons of treated and untreated individuals or to estimate the proportion of treated individuals in the population. Augmenting SEER data with other data sources will provide the most accurate treatment information.

摘要

背景

基于人群的监测、流行病学和最终结果(SEER)登记处收集关于首次治疗的信息,包括手术、化疗、放疗和激素治疗。然而,由于数据完整性存在不确定性,SEER项目不公布化疗或激素治疗的数据。目前正在开展相关活动,以研究利用其他数据源补充SEER治疗数据的机会。

方法

利用SEER-医疗保险链接数据,我们检验了SEER数据在识别2000年至2006年期间诊断为膀胱癌、女性乳腺癌、结直肠癌、肺癌、卵巢癌、胰腺癌或前列腺癌的65岁及以上患者接受化疗和放疗情况,以及65岁及以上诊断为前列腺癌的男性接受激素治疗情况方面的有效性。将SEER收集的治疗情况与医疗保险理赔确定的治疗情况进行比较,将医疗保险理赔作为金标准。计算每种治疗方式接受情况的κ值、敏感性、特异性、阳性预测值和阴性预测值。

结果

SEER数据识别化疗、放疗和激素治疗接受情况的总体敏感性为中等(分别为68%、80%和69%),并因癌症部位、分期和患者特征而异。除前列腺癌化疗外,所有治疗类型和癌症部位的总体阳性预测值都很高(>85%)。

结论

SEER数据一般不应用于比较接受治疗和未接受治疗的个体,或估计人群中接受治疗个体的比例。利用其他数据源补充SEER数据将提供最准确的治疗信息。

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