Identification of Heart Failure Events in Medicare Claims: The Atherosclerosis Risk in Communities (ARIC) Study

通过医疗保险索赔数据识别心力衰竭事件:社区动脉粥样硬化风险(ARIC)研究

阅读:1

Abstract

BACKGROUND: We examined the accuracy of Medicare heart failure (HF) diagnostic codes in the identification of acute decompensated (ADHF and chronic stable (CSHF) HF. METHODS AND RESULTS: Hospitalizations were identified from medical discharge records for Atherosclerosis Risk in Communities (ARIC) study participants with linked Medicare Provider Analysis and Review (MedPAR) files for the years 2005-2009. The ARIC study classification of ADHF and CSHF, based on adjudicated review of medical records, was considered to be the criterion standard. A total 8,239 ARIC medical records and MedPAR records meeting fee-for-service (FFS) criteria matched on unique participant ID and date of discharge (68.5% match). Agreement between HF diagnostic codes from the 2 data sources found in the matched records for codes in any position (κ > 0.9) was attenuated for primary diagnostic codes (κ < 0.8). Sensitivity of HF diagnostic codes found in Medicare claims in the identification of ADHF and CSHF was low, especially for the primary diagnostic codes. CONCLUSION: Matching of hospitalizations from Medicare claims with those obtained from abstracted medical records is incomplete, even for hospitalizations meeting FFS criteria. Within matched records, HF diagnostic codes from Medicare show excellent agreement with HF diagnostic codes obtained from medical record abstraction. The Medicare data may, however, overestimate the occurrence of hospitalized ADHF or CSHF.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。