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通过美国医保理赔数据和一个州癌症登记处查找新发乳腺癌病例。

Finding incident breast cancer cases through US claims data and a state cancer registry.

作者信息

Wang P S, Walker A M, Tsuang M T, Orav E J, Levin R, Avorn J

机构信息

Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Cancer Causes Control. 2001 Apr;12(3):257-65. doi: 10.1023/a:1011204704153.

Abstract

OBJECTIVE

With the increasing availability of automated health-care data, new methods are available to screen large populations for the presence of cancer diagnoses. However, it is crucial to evaluate how completely incident cancer cases can be ascertained using these data sources.

METHODS

We used capture-recapture techniques to estimate the total number of incident breast cancer cases occurring within one state during a 3-year period. We then compared the ascertainment of these cases by the following two data sources: claims for breast cancer surgery recorded in Medicaid and Medicare data vs a cancer registry in the same state.

RESULTS

Medicaid-Medicare breast cancer surgery claims identified 68% of the total estimated number of incident breast cancer cases while cancer registry data identified 78%. Case ascertainment improved markedly to 91% when both registry and Medicare-Medicaid data sources were used together. The sensitivity of ascertainment was lower for Medicaid-Medicare data among those aged under 65 and non-white; ascertainment was lower for the registry among women who were aged under 65, poor, and non-white.

CONCLUSIONS

Combining health insurance claims data with a population-based cancer registry improved the identification of incident cases of breast cancer, and may be particularly useful among demographic groups found to be at highest risk of under-ascertainment such as younger women, the poor, and racial minorities.

摘要

目的

随着自动化医疗保健数据的可得性不断提高,出现了新的方法来筛查大量人群中是否存在癌症诊断。然而,评估使用这些数据源能够多全面地确定新发癌症病例至关重要。

方法

我们使用捕获再捕获技术来估计某一州在3年期间发生的新发乳腺癌病例总数。然后,我们通过以下两个数据源比较这些病例的确定情况:医疗补助和医疗保险数据中记录的乳腺癌手术索赔与同一州的癌症登记处数据。

结果

医疗补助 - 医疗保险乳腺癌手术索赔识别出了估计新发乳腺癌病例总数的68%,而癌症登记处数据识别出了78%。当同时使用登记处和医疗补助 - 医疗保险这两个数据源时,病例确定率显著提高到91%。在65岁以下和非白人人群中,医疗补助 - 医疗保险数据的确定敏感性较低;在65岁以下、贫困和非白人女性中,登记处的确定率较低。

结论

将健康保险索赔数据与基于人群的癌症登记处相结合,改善了乳腺癌新发病例的识别,并且在诸如年轻女性、贫困人群和少数族裔等被发现漏报风险最高的人群中可能特别有用。

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