Evidence map›Paper›PMID 42729891›Full record

ArticleHealth affairs scholar2026

Numerous overlapping programs add complexity, unpredictability to rural hospital finances.

Carolyn San Soucie, Michael E Chernew, Benjamin D Sommers

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. 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

3 authors.

Carolyn San SoucieInterfaculty Initiative in Health Policy, Harvard University, Cambridge, MA 02138, United States.ORCID https://orcid.org/0000-0003-0390-6687
Michael E ChernewInterfaculty Initiative in Health Policy, Harvard University, Cambridge, MA 02138, United States.ORCID https://orcid.org/0000-0001-9473-1100
Benjamin D SommersInterfaculty Initiative in Health Policy, Harvard University, Cambridge, MA 02138, United States.ORCID https://orcid.org/0000-0001-6507-6047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Rural hospitals face unique financial challenges, prompting congressional action including multiple Medicare-specific payment programs. Medicare's programs to enhance rural hospital payment include critical access, sole community, Medicare-dependent, and low-volume hospitals. Methods: We examined the payments made through these programs and their resulting impact on hospitals' finances for 2942 rural hospitals from 1997 to 2024 using cost report data. Results: Almost four-fifths (82.4%) of rural hospitals received payment from one of the programs. From 2015 to 2024, 14.7% of participating hospitals churned between programs. In 34.6% of hospital-years, hospitals received no special payments from programs they were eligible for. Furthermore, payments received by sole community hospitals and Medicare-dependent hospitals fluctuated by more than 50% year-to-year for 16.0% of hospital-years. Financial reliance on these programs was larger in states that have not expanded Medicaid and for hospitals participating in 2 programs simultaneously. Conclusion: Overall, many rural hospitals rely on Medicare's special payment programs, but funding unpredictability, complicated and overlapping eligibility rules, and payment formulas based on historic costs create challenges for hospitals' finances. There is a need to streamline Medicare payment and make existing programs more efficient before layering on dozens of differing state-level policies through the recently created Rural Health Transformation Program.

Indexed as

government programs and policieshospital revenueshospitalsMedicarerural health care

Identifiers

PMID42729891
PMCPMC13564216

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.