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Land, buildings, and equipment acquisitions in U.S. hospitals: A fifteen-year perspective.

Kangkang QiXuefeng JiangGe Bai
Published in: PloS one (2022)
Hospitals acquire and maintain long-term operating assets such as land, buildings, and equipment. In this study, we analyzed hospitals' long-term assets acquisitions data extracted from the Medicare Cost Report, a mandatory annual filing for all Medicare-certified hospitals. The first objective of this study is to examine the time trend of land, buildings, and equipment acquisitions of all general acute care hospitals in the U.S. from 2005 to 2019 to understand the relative magnitude and temporal changes for the operating assets. The second objective is to examine the 15-year accumulated acquisitions of land, buildings, and equipment per capita in each state to understand the variations of potential access to hospital operating resources across states. To understand the longitudinal changes in acquisitions of operating assets for each year from 2005 to 2019, we calculated the total acquisition amounts across all hospitals for land, buildings, and equipment, respectively, and adjusted the amounts to 2019 dollars based on the consumer price index (CPI). For each state (including Washington D.C.) and the whole nation, the 15-year accumulated CPI-adjusted acquisition amounts per capita for land, buildings, and equipment were also calculated, respectively. The nationwide acquisitions of those operating assets grew rapidly from 2005 to 2008 followed by a negative overall growth from 2008 to 2014 and since 2015, started increasing steadily again. In 2019, U.S. general acute care hospitals acquired $3.0 billion of land, $44.6 billion of buildings, and $33.9 billion of equipment. Huge geographical variation in per capita cumulative total asset investment were also found with the first place North Dakota having a per capita investment that is almost four times higher than that in the lowest ranked state of Alabama.
Keyphrases
  • acute care
  • climate change
  • healthcare
  • water quality
  • cross sectional
  • tertiary care
  • affordable care act
  • data analysis