A practitioner's guide to using data on private equity hospital acquisitions.

IF 2.7
Health affairs scholar Pub Date : 2026-04-07 eCollection Date: 2026-04-01 DOI:10.1093/haschl/qxag071
Sungil Kim, Mark Naslund, Xingzhi Wang, Abid Hasan, Hongbin Huang, Hyong-Gu Hwang, Ambar La Forgia, Riley League, Ryan C McDevitt, Kelly Kaili Yang
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Abstract

Introduction: Private equity (PE) investment in US hospitals has attracted substantial policy and research attention, but empirical work has been limited by fragmented and inconsistent transaction data. We aimed to construct a more comprehensive and validated dataset of PE ownership of US hospitals and to provide a practical guide for using these data in research.

Methods: We integrated 6 major commercial deal databases to identify PE investments in US hospitals from 2000 to 2024. We filtered transactions to PE-related hospital deals, matched targets to American Hospital Association (AHA) and the Centers for Medicare & Medicaid Services (CMS) hospital identifiers, manually verified uncertain matches, reconciled duplicate transactions across sources, expanded system-level deals to constituent hospitals, and verified deal and exit dates.

Results: We identified 141 unique PE deals involving 555 unique short-term acute care hospitals, corresponding to 721 hospital-deal observations. The 6 databases differed substantially in deal coverage, deal type, and whether transactions were reported at the hospital or system level. Reliance on a single source would therefore omit many valid deals and could produce biased or incomplete analytic samples. We also found that linking transactions to stable hospital identifiers required substantial manual verification due to system-level transactions, inconsistent reporting, and identifier changes over time.

Conclusion: Accurate study of PE ownership in hospitals requires multisource data construction, transparent validation, and careful linkage to stable hospital identifiers. This harmonized dataset and workflow provide infrastructure for more accurate, transparent, and replicable research on PE ownership in the US hospital sector.

使用私募股权医院收购数据的执业指南。
导言:私募股权(PE)投资美国医院吸引了大量的政策和研究关注,但实证工作受到分散和不一致的交易数据的限制。我们旨在构建一个更全面、更有效的美国医院私募股权数据集,并为在研究中使用这些数据提供实用指南。方法:我们整合了6个主要的商业交易数据库,以识别2000年至2024年美国医院的私募股权投资。我们将交易过滤为pe相关的医院交易,将目标匹配为美国医院协会(AHA)和医疗保险和医疗补助服务中心(CMS)的医院标识符,手动验证不确定的匹配,协调跨来源的重复交易,将系统级交易扩展到组成医院,并验证交易和退出日期。结果:我们确定了141笔独特的PE交易,涉及555家独特的短期急症护理医院,对应于721家医院交易观察。这6个数据库在交易覆盖范围、交易类型以及交易是否在医院或系统级别报告方面存在很大差异。因此,对单一来源的依赖会遗漏许多有效的交易,并可能产生有偏差或不完整的分析样本。我们还发现,由于系统级事务、不一致的报告和标识符随时间的变化,将事务链接到稳定的医院标识符需要大量的手工验证。结论:对医院PE所有权的准确研究需要多源数据构建、透明验证、谨慎关联稳定的医院标识。这个统一的数据集和工作流程为更准确、透明和可复制的美国医院部门私募股权研究提供了基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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