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用于结肠直肠手术临床研究的Truven健康分析市场扫描数据库。

Truven Health Analytics MarketScan Databases for Clinical Research in Colon and Rectal Surgery.

作者信息

Kulaylat Audrey S, Schaefer Eric W, Messaris Evangelos, Hollenbeak Christopher S

机构信息

Department of Surgery, Division of Colon and Rectal Surgery, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania.

Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania.

出版信息

Clin Colon Rectal Surg. 2019 Jan;32(1):54-60. doi: 10.1055/s-0038-1673354. Epub 2019 Jan 8.

Abstract

The MarketScan databases are a family of administrative claims databases that contain data on inpatient and outpatient claims, outpatient prescription claims, clinical utilization records, and healthcare expenditures. The three main databases available for use are each composed of a convenience sample for one of the following patient populations: (1) patients with employer-based health insurance from contributing employers, (2) Medicare beneficiaries who possess supplemental insurance paid by their employers, and (3) patients with Medicaid in one of eleven participating states. Eleven supplemental databases are available, which are utilized to overcome the limited clinical data available in the core MarketScan databases. There are several limitations to this database, primarily related to the fact that individuals or their family members within two of the core databases mandatorily possess some form of employer-based health insurance, which prevents the dataset from being nationally representative. Nonetheless, this database provides detailed and rigorously maintained claims data to identify healthcare utilization patterns among this cohort of patients.

摘要

MarketScan数据库是一系列管理性索赔数据库,包含住院和门诊索赔数据、门诊处方索赔数据、临床使用记录以及医疗保健支出数据。可供使用的三个主要数据库分别由以下患者群体之一的便利样本组成:(1)来自缴费雇主的有雇主提供医疗保险的患者;(2)拥有雇主支付的补充保险的医疗保险受益人;(3)11个参与州之一的医疗补助患者。还有11个补充数据库,用于克服核心MarketScan数据库中可用临床数据有限的问题。该数据库存在若干局限性,主要与以下事实有关:两个核心数据库中的个人或其家庭成员必须拥有某种形式的雇主提供的医疗保险,这使得数据集缺乏全国代表性。尽管如此,该数据库提供了详细且维护严格的索赔数据,以识别这一患者群体中的医疗保健使用模式。

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