Center for the Intrepid, Brooke Army Medical Center, 3551 Roger Brooke Drive, San Antonio, TX, 78234, USA.
Baylor University, 3630 Stanley Road, Bldg 2841, Suite 1301; Joint Base San Antonio - Fort Sam Houston, San Antonio, TX, 78234, USA.
BMC Med Inform Decis Mak. 2018 Jan 31;18(1):10. doi: 10.1186/s12911-018-0588-8.
Large healthcare databases, with their ability to collect many variables from daily medical practice, greatly enable health services research. These longitudinal databases provide large cohorts and longitudinal time frames, allowing for highly pragmatic assessment of healthcare delivery. The purpose of this paper is to discuss the methodology related to the use of the United States Military Health System Data Repository (MDR) for longitudinal assessment of musculoskeletal clinical outcomes, as well as address challenges of using this data for outcomes research.
The Military Health System manages care for approximately 10 million beneficiaries worldwide. Multiple data sources pour into the MDR from multiple levels of care (inpatient, outpatient, military or civilian facility, combat theater, etc.) at the individual patient level. To provide meaningful and descriptive coding for longitudinal analysis, specific coding for timing and type of care, procedures, medications, and provider type must be performed. Assumptions often made in clinical trials do not apply to these cohorts, requiring additional steps in data preparation to reduce risk of bias. The MDR has a robust system in place to validate the quality and accuracy of its data, reducing risk of analytic error. Details for making this data suitable for analysis of longitudinal orthopaedic outcomes are provided.
Although some limitations exist, proper preparation and understanding of the data can limit bias, and allow for robust and meaningful analyses. There is the potential for strong precision, as well as the ability to collect a wide range of variables in very large groups of patients otherwise not captured in traditional clinical trials. This approach contributes to the improved understanding of the accessibility, quality, and cost of care for those with orthopaedic conditions.
The MDR provides a robust pool of longitudinal healthcare data at the person-level. The benefits of using the MDR database appear to outweigh the limitations.
大型医疗保健数据库能够从日常医疗实践中收集许多变量,极大地促进了卫生服务研究。这些纵向数据库提供了大量队列和纵向时间框架,能够非常实际地评估医疗保健的提供情况。本文旨在讨论使用美国军事医疗系统数据仓库(MDR)进行肌肉骨骼临床结果的纵向评估的相关方法,以及解决使用这些数据进行结果研究的挑战。
军事医疗系统负责全球约 1000 万受益人的医疗保健。多个数据源从多个护理级别(住院、门诊、军事或民用设施、战斗区等)以个体患者的水平流入 MDR。为了提供有意义和描述性的纵向分析编码,必须对护理的时间和类型、程序、药物和提供者类型进行特定编码。临床试验中经常做出的假设不适用于这些队列,需要在数据准备过程中采取额外步骤来降低偏倚风险。MDR 建立了一个强大的系统,以验证其数据的质量和准确性,降低分析错误的风险。提供了将这些数据适用于分析纵向骨科结果的详细信息。
尽管存在一些限制,但适当的准备和对数据的理解可以限制偏倚,并允许进行稳健而有意义的分析。由于有可能具有很强的精度,并且能够在传统临床试验中未捕获的大量骨科患者中收集广泛的变量,因此具有潜力。这种方法有助于更好地了解骨科患者的医疗保健可及性、质量和成本。
MDR 提供了一个强大的个人层面的纵向医疗保健数据库。使用 MDR 数据库的好处似乎超过了其局限性。