Evidence map›Paper›PMID 39916972›Full record

ArticleHealth affairs scholar2025

What explains the growth in hospital assets from 2000 through 2019? A decomposition analysis.

Stephanie Teeple, Caroline Andy, William L Schpero, Paula Chatterjee

Abstract read
In one paragraph

Article in Health affairs scholar, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stephanie TeepleDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, United States.ORCID https://orcid.org/0000-0001-7501-7868
Caroline AndyDivision of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, 10065, United States.
William L SchperoDivision of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, 10065, United States.ORCID https://orcid.org/0000-0002-7806-371X
Paula ChatterjeeDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, United States.ORCID https://orcid.org/0000-0002-6514-0405

Funding

Health Inequality and a Machine Learning-Based Tool for Emergency Department Triage: A Mixed Methods ApproachF31LM013403 · NLM · UNIVERSITY OF PENNSYLVANIA · PI TEEPLE, STEPHANIE · 2020 to 2022
$118k
NLM NIH HHS F31 LM013403
6 · The paper itself

Abstract

Understanding disparities in hospital finances is essential for ensuring equitable systems of care. One understudied element is total assets, which include both financial and capital resources that hospitals acquire. We evaluated changes and drivers of variation in US hospital assets from 2000 through 2019 using data from the Centers for Medicare and Medicaid Services and American Hospital Association Annual Survey. We decomposed overall variation in total assets to determine the level (hospital, health system, or health care market) that contributed most to variation, and examined the extent to which asset growth was associated with changes in common inputs to hospital wealth vs changing relationships with these inputs or other unmeasured factors. Total assets held by US hospitals increased from $750 billion in 2000 to $1.6 trillion in 2019. Most variation occurred between hospitals, such that high-asset hospitals tended to remain high-asset and low-asset hospitals remained low-asset. Most of the increase in assets was due to unmeasured factors (ie, not patient revenue). We conclude that hospital wealth in the form of assets has grown substantially over time and accrued primarily to wealthy hospitals. Policymakers should consider broader measures of hospital wealth when targeting financial resources and efforts to strengthen data on hospital financing.

Indexed as

disproportionate share hospital paymentshealth care disparitieshospital financehospital markets

Identifiers

PMID39916972
PMCPMC11797385

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.