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Using Medicare Enrollment Data to Identify Beneficiaries in Assisted Living

机译:使用 Medicare 注册数据来识别辅助生活的受益人

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? 2022 AMDA – The Society for Post-Acute and Long-Term Care MedicineObjectives: Develop an approach for identifying Medicare beneficiaries residing in US assisted living (AL) communities in calendar year 2018. Design: We used the following data sources: national directory of licensed ALs, file of US addresses and their associated 9-digit ZIP codes (ZIP+4), Medicare Enrollment Database (EDB), Master Beneficiary Summary File (MBSF), and the Minimum Data Set (MDS). Setting and Participants: A total of 412,723 Medicare beneficiaries who lived in ZIP+4 codes associated with an AL were identified as residents. Approximately 28 of the 16,682 ALs in which these beneficiaries resided were smaller communities (<25 beds). Methods: For each AL, we identified ZIP+4 codes associated with its address. Using this ZIP+4 file, we searched through the Medicare EDB to identify beneficiaries who lived in each ZIP+4 code. The MBSF and MDS were used to exclude beneficiaries who died before 2018 and those whose AL and nursing home stays overlapped. We identified 3 cohorts of Medicare beneficiaries: (1) residents of a specific AL (one AL address per ZIP+4), (2) most likely AL residents, and (3) not likely AL residents. Comparisons across these cohorts were used to examine construct validity of our approach. Additional comparisons were made to AL residents based on the National Survey of Long-Term Care Providers (NSLTCP) and to fee-for-service (FFS) Medicare community-dwelling and long-stay nursing home residents. Results: The cohorts of beneficiaries identified as AL residents exhibited good construct validity. AL residents also showed similarity in demographic characteristics to the 2018 sample from the NSLTCP, and as expected were different from FFS community and nursing home beneficiaries. Conclusion and Implications: We developed a methodology for identifying Medicare beneficiaries who reside in ALs. As this residential setting continues to grow, future studies will need effective approaches for identifying AL residents in order to evaluate the quality of care they receive.
机译:?2022 AMDA – 急性后和长期护理医学协会目标:制定一种方法来识别 2018 日历年居住在美国辅助生活 (AL) 社区的 Medicare 受益人。设计:我们使用了以下数据源:获得许可的 AL 的国家目录、美国地址文件及其相关的 9 位邮政编码 (ZIP+4)、Medicare 注册数据库 (EDB)、主受益人摘要文件 (MBSF) 和最小数据集 (MDS)。环境和参与者:共有 412,723 名居住在与 AL 相关的 ZIP+4 代码中的 Medicare 受益人被确定为居民。在这些受益人居住的16,682个AL中,约有28%是较小的社区(<25张床位)。方法:对于每个 AL,我们识别了与其地址相关的 ZIP+4 代码。使用此 ZIP+4 文件,我们搜索了 Medicare EDB,以确定居住在每个 ZIP+4 代码中的受益人。MBSF 和 MDS 用于排除 2018 年之前死亡的受益人以及 AL 和疗养院住宿重叠的受益人。我们确定了 3 组 Medicare 受益人:(1) 特定 AL 的居民(每个 ZIP+4 一个 AL 地址),(2) 最有可能是 AL 居民,以及 (3) 不太可能是 AL 居民。这些队列之间的比较用于检查我们方法的结构有效性。根据全国长期护理提供者调查 (NSLTCP) 与 AL 居民进行了额外的比较,并与按服务收费 (FFS) 医疗保险社区居住和长期居住的疗养院居民进行了比较。结果:被确定为AL居民的受益人队列表现出良好的结构效度。AL 居民在人口统计学特征上也表现出与 NSLTCP 的 2018 年样本相似,并且正如预期的那样与 FFS 社区和疗养院受益人不同。结论和意义:我们开发了一种方法来识别居住在AL的Medicare受益人。随着这种住宅环境的不断发展,未来的研究将需要有效的方法来识别AL居民,以评估他们接受的护理质量。

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