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Medicare Hospital Classifications and the Effect on Bed Capacity Decisions in U.S. Hospitals

Authors: Beau Grant Barnes;

Medicare Hospital Classifications and the Effect on Bed Capacity Decisions in U.S. Hospitals

Abstract

I examine whether or not capacity planning decisions are influenced by a 100-bed threshold used by U.S. Medicare to classify hospitals as “large” or “small” for payment purposes. I also examine the role of the institutional environment in directing hospital actions in this setting. In summary, I find that the 100-bed threshold drives a significant discontinuity in the distribution of U.S. urban hospital bed capacities. I find that the magnitude of the discontinuity is greatest in hospitals that are highly incentivized to be classified as large, and I demonstrate that not-for-profit and government hospitals are more likely than for-profit hospitals to decrease bed capacities and lose large hospital classifications. I argue from an institutional perspective that Medicare’s threshold-based classification practices act as institutional pressures for hospitals to take on similar structures in terms of bed capacity, but that not-for-profit and government hospitals attach less importance to the increased revenues and profits associated with meeting the threshold. As a result, not-for-profit and government hospitals are more likely to challenge the validity of the threshold for capacity planning purposes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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