Evidence map›Paper›PMID 41487440›Full record

ArticleHealth affairs scholar2025

Hospital finances following Connecticut's ban on outpatient facility fees.

Robert Tyler Braun, Rahul Joseph Fernandez, Rachel Swindle, Christine H Monahan, Dunc Williams

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Robert Tyler BraunPopulation Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, Cornell University, New York, NY 10065, United States.ORCID https://orcid.org/0000-0001-6408-2656
Rahul Joseph FernandezPopulation Health Sciences, Division of Health Policy and Economics, Weill Cornell Medicine, Cornell University, New York, NY 10065, United States.
Rachel SwindlePhD Program in Health Policy, Harvard University, Cambridge, MA 02138, United States.ORCID https://orcid.org/0000-0002-6311-8546
Christine H MonahanCenter on Health Insurance Reforms, McCourt School of Public Policy, Georgetown University, Washington, DC 20001, United States.ORCID https://orcid.org/0009-0004-5309-6058
Dunc WilliamsDepartment of Healthcare Leadership and Management, Medical University of South Carolina, Charleston, SC 29425, United States.ORCID https://orcid.org/0000-0002-8716-0052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In 2017, Connecticut prohibited hospitals from billing "facility fees" for certain services delivered off their main campuses. Methods: Using Hospital Medicare Cost Reports and the National Academy for State Health Policy Hospital Cost Data (2011-2022), we applied a difference-in-differences model within an event study framework to compare hospital financial outcomes between Connecticut hospitals and matched control hospitals nationwide. Results: Unadjusted trends suggest small declines in operating margins and outpatient-to-total charges after the ban, alongside an increase in inpatient-to-total charges. In adjusted analyses, operating margins and inpatient-to-total charges did not change significantly, while outpatient-to-total charges declined significantly by 6.91%. Conclusion: Given the small sample and limited precision, a policy effect cannot be ruled out for several outcomes. Future research evaluating the long-term sustainability and impacts on hospital financials, access, and care quality are warranted.

Indexed as

facility feeshealth reformhospitals

Identifiers

PMID41487440
PMCPMC12757583

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.