Suppr超能文献

基于医疗保健索赔数据库的方法识别化疗引起的发热性中性粒细胞减少症的技术评估。

Technical evaluation of methods for identifying chemotherapy-induced febrile neutropenia in healthcare claims databases.

机构信息

Policy Analysis Inc., Brookline, MA, USA.

出版信息

BMC Health Serv Res. 2013 Feb 13;13:60. doi: 10.1186/1472-6963-13-60.

Abstract

BACKGROUND

Healthcare claims databases have been used in several studies to characterize the risk and burden of chemotherapy-induced febrile neutropenia (FN) and effectiveness of colony-stimulating factors against FN. The accuracy of methods previously used to identify FN in such databases has not been formally evaluated.

METHODS

Data comprised linked electronic medical records from Geisinger Health System and healthcare claims data from Geisinger Health Plan. Subjects were classified into subgroups based on whether or not they were hospitalized for FN per the presumptive "gold standard" (ANC <1.0×10(9)/L, and body temperature ≥38.3°C or receipt of antibiotics) and claims-based definition (diagnosis codes for neutropenia, fever, and/or infection). Accuracy was evaluated principally based on positive predictive value (PPV) and sensitivity.

RESULTS

Among 357 study subjects, 82 (23%) met the gold standard for hospitalized FN. For the claims-based definition including diagnosis codes for neutropenia plus fever in any position (n=28), PPV was 100% and sensitivity was 34% (95% CI: 24-45). For the definition including neutropenia in the primary position (n=54), PPV was 87% (78-95) and sensitivity was 57% (46-68). For the definition including neutropenia in any position (n=71), PPV was 77% (68-87) and sensitivity was 67% (56-77).

CONCLUSIONS

Patients hospitalized for chemotherapy-induced FN can be identified in healthcare claims databases--with an acceptable level of mis-classification--using diagnosis codes for neutropenia, or neutropenia plus fever.

摘要

背景

医疗保健索赔数据库已在多项研究中用于描述化疗引起的发热性中性粒细胞减少症(FN)的风险和负担,以及集落刺激因子对 FN 的有效性。以前用于识别此类数据库中 FN 的方法的准确性尚未得到正式评估。

方法

数据包括来自 Geisinger 卫生系统的电子病历记录和 Geisinger 健康计划的医疗保健索赔数据。根据是否根据推定的“黄金标准”(ANC <1.0×10(9)/L 和体温≥38.3°C 或接受抗生素)和基于索赔的定义(中性粒细胞减少症、发热和/或感染的诊断代码)住院治疗 FN,将受试者分为亚组。准确性主要基于阳性预测值(PPV)和灵敏度进行评估。

结果

在 357 名研究对象中,有 82 名(23%)符合 FN 的住院黄金标准。对于包括任何部位的中性粒细胞减少症加发热的诊断代码在内的基于索赔的定义(n=28),PPV 为 100%,灵敏度为 34%(95%CI:24-45)。对于包括主要部位中性粒细胞减少症的定义(n=54),PPV 为 87%(78-95),灵敏度为 57%(46-68)。对于包括任何部位中性粒细胞减少症的定义(n=71),PPV 为 77%(68-87),灵敏度为 67%(56-77)。

结论

可以使用中性粒细胞减少症或中性粒细胞减少症加发热的诊断代码,从医疗保健索赔数据库中识别出因化疗引起的 FN 而住院的患者,存在可接受的误分类水平。

相似文献

引用本文的文献

本文引用的文献

2
Febrile neutropenia.发热性中性粒细胞减少症
BMJ. 2010 Dec 17;341:c6981. doi: 10.1136/bmj.c6981.
6
Prevention and treatment of cancer-related infections.癌症相关感染的预防与治疗。
J Natl Compr Canc Netw. 2008 Feb;6(2):122-74. doi: 10.6004/jnccn.2008.0013.
7
Cost of neutropenic complications of chemotherapy.化疗所致中性粒细胞减少并发症的成本。
Ann Oncol. 2008 Mar;19(3):454-60. doi: 10.1093/annonc/mdm525. Epub 2007 Dec 13.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验