Breast cancer incidence using administrative data: correction with sensitivity and specificity
Breast cancer incidence using administrative data: correction with sensitivity and specificity
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DOI：
10.1016/j.jclinepi.2008.07.013
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发表时间：
2009-06-01
影响因子：
7.2
通讯作者：
Trombert, Beatrice
中科院分区：
文献类型：
--
作者：
Couris, Chantal Marie;Polazzi, Stephanie;Trombert, Beatrice
目的：估计乳腺癌的发病率在一般人群中使用的方法，纠正缺乏敏感性和特异性的事件乳腺癌的识别在住院索赔data.Study设计和设置：两阶段研究：第1阶段，以确定事件的情况下索赔数据。和阶段2以估计群体子集中的灵敏度和特异性。两种算法（1：主要诊断：第二章：主要诊断+特定手术程序），用于确定年龄在20岁或20岁以上的妇女索赔中的事件病例，这些妇女生活在癌症登记所覆盖的法国地区。结果：算法1和算法2的敏感性和特异性分别为69.0%和99.89%。分别为64.4%和99.93%。分别。与特异性相比，两种算法的灵敏度对于40岁以下和65岁以上的女性都较低。癌症登记处报告的病例更接近算法2（-3.2%至+20.1%）确定的病例和算法1（-1%至+15%）校正的数字。结论：为了获得可靠的估计乳腺癌的发病率在一般人群中，敏感性和特异性，反映医疗和编码实践的变化，是必要的。(C)2009 Elsevier Inc. All rights reserved.
Objective: To estimate breast cancer incidence in the general population using a method that corrects for lack of sensitivity and specificity in the identification of incident breast cancer in inpatient claims data.Study Design and Settings: Two-phase study: phase 1 to identify incident cases in claims data. and phase 2 to estimate sensitivity and specificity in a subset of the population. Two algorithms (1: principal diagnosis: 2: principal diagnosis + specific surgery procedures) were used to identify incident cases in claims of women aged 20 years or older, living in a French district covered by a cancer registry. Sensitivity and specificity were estimated in one district and used to correct incident cases identified.Results: The sensitivity and specificity for algorithms 1 and 2 were 69.0% and 99.89%. and 64.4% and 99.93%. respectivcly. In contrast to specificity, the sensitivity for both algorithms was lower for women younger than 40 years and older than 65 years. Cases reported by cancer registries were closer to cases identified with algorithm 2 (-3.2% to +20.1%) and to corrected numbers with algorithm 1 (-1% to +15%).Conclusion: To obtain reliable estimates of breast cancer incidence in the general population, sensitivity and specificity, which reflect medical and coding practice variations, are necessary. (C) 2009 Elsevier Inc. All rights reserved.