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健康结局研究中开放索赔与封闭索赔的使用。

Use of Open Claims vs Closed Claims in Health Outcomes Research.

作者信息

Baser Onur, Samayoa Gabriela, Yapar Nehir, Baser Erdem, Mete Fatih

机构信息

City University of New York, New York, NY, USA.

University of Michigan, Ann Arbor, Michigan, USA.

出版信息

J Health Econ Outcomes Res. 2023 Sep 5;10(2):44-52. doi: 10.36469/001c.87538. eCollection 2023.

Abstract

Closed claims are frequently used in outcomes research studies. Lately, the availability of open claims has increased the possibility of obtaining information faster and on a larger scale. However, because of the possibility of missing claims and duplications, these data sets have not been highly utilized in medical research. To compare frequently used healthcare utilization measures between closed claims and open claims to analyze if the possibility of missing claims in open claims data creates a downward bias in the estimates. We identified 18 different diseases using 2022 data from 2 closed claims data sets (MarketScan® and PharMetrics® Plus) and 1 open claims database (Kythera). After applying an algorithm that removes possible duplications from open claims data, we compared healthcare utilizations such as inpatient, emergency department, and outpatient use and length of stay among these 3 data sets. We applied standardized differences to compare the medians for each outcome. The sample size of the open claims data sets was 10 to 65 times larger than closed claims data sets depending on disease type. For each disease, the estimates of healthcare utilization were similar between the open claims and closed claims data. The difference was statistically insignificant. Open claims data with a bigger sample size and more current available information provide essential advantages for healthcare outcomes research studies. Therefore, especially for new medications and rare diseases, open claims data can provide information much earlier than closed claims, which usually have a time lag of 6 to 8 months.

摘要

闭合式索赔数据在结局研究中经常被使用。最近,开放式索赔数据的可得性增加了更快、更大规模获取信息的可能性。然而,由于存在索赔遗漏和重复的可能性,这些数据集在医学研究中尚未得到高度利用。为了比较闭合式索赔数据和开放式索赔数据中常用的医疗保健利用指标,以分析开放式索赔数据中索赔遗漏的可能性是否会导致估计值出现向下偏差。我们使用来自2个闭合式索赔数据集(MarketScan®和PharMetrics® Plus)和1个开放式索赔数据库(Kythera)的2022年数据,确定了18种不同疾病。在应用一种算法去除开放式索赔数据中可能的重复项后,我们比较了这3个数据集之间的医疗保健利用情况,如住院、急诊科和门诊使用情况以及住院时间。我们应用标准化差异来比较每个结局的中位数。根据疾病类型,开放式索赔数据集的样本量比闭合式索赔数据集大10至65倍。对于每种疾病,开放式索赔数据和闭合式索赔数据之间的医疗保健利用估计值相似。差异无统计学意义。样本量更大且有更多当前可用信息的开放式索赔数据为医疗保健结局研究提供了重要优势。因此,特别是对于新药和罕见病,开放式索赔数据可以比通常有6至8个月时间滞后的闭合式索赔数据更早地提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e3/10484335/197f150557be/jheor_2023_10_2_87538_179538.jpg

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