Evidence map›Paper›PMID 36323185›Full record

ArticleJournal of health economics2022

Understanding the relationship between nonprofit hospital community benefit spending and system membership: An analysis of independent hospital acquisitions.

Kelsey M Owsley, Richard C Lindrooth

Abstract read
In one paragraph

Article in Journal of health economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. Big Med's Spread.The Milbank quarterly · 2023
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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

2 authors.

Kelsey M OwsleyDepartment of Health Management and Policy, University of Arkansas for Medical Sciences, AR, United States; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, AR, United States. Electronic address: kmowsley@uams.edu.
Richard C LindroothDepartment of Health Systems, Management and Policy, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, CO, United States.

Funding

Understanding Hospital Community Benefits: A Mixed Methods ApproachR01HS024959 · AHRQ · UNIVERSITY OF COLORADO DENVER · PI LINDROOTH, RICHARD C. · 2016 to 2017
$778k
An Econometric Analysis of Hospital Performance pre & post-ACAR01HS025208 · AHRQ · UNIVERSITY OF COLORADO DENVER · PI LINDROOTH, RICHARD C. · 2017 to 2019
$713k
AHRQ HHS R01 HS024959AHRQ HHS R01 HS025208
6 · The paper itself

Abstract

The Internal Revenue Service (IRS) requires nonprofit hospitals to report community benefit spending to justify their nonprofit tax exemption. We examined whether nonprofit hospital acquisitions influence the amount and type community benefit spending. We analyzed 2011-2018 data on urban, nonprofit hospitals. The analysis dataset included 57 hospitals that were acquired and a matched control group. We estimated difference-in-differences specifications to measure the effect of acquisitions on total community benefit spending, and three subcategories - clinical, population health, and other spending types. We found that acquisitions led to decreased population health spending (-$0.32 million, p < 0.01) and other spending categories (-$1.5 million, p < 0.05), but no significant change in total or clinical spending. If the acquirer was located out-of-state, total community benefit spending declined by $2.4 million (p < 0.10). Our findings support the need for community benefit spending to be considered, along with quality, efficiency, and prices, when evaluating the welfare impact of acquisitions.

Indexed as

Organizations, NonprofitTax ExemptionHospitals, CommunityHumansUnited StatesCommunity benefit spendingHospital acquisitions

Identifiers

PMID36323185
PMCPMC13075443

What OpenQuestion holds

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Registered trials

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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.