Evidence map›Paper›PMID 39354895›Full record

ArticleHospital pediatrics2024

A National Analysis of General Pediatric Inpatient Unit Closures and Openings, 2011-2018.

Carolyn M San Soucie, Nancy D Beaulieu, Jason D Buxbaum, David M Cutler, JoAnna K Leyenaar, Sarah C McBride, Olivia Zhao, Alyna T Chien

Abstract read
In one paragraph

Article in Hospital pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Carolyn M San SoucieHarvard University, Cambridge, Massachusetts.
Nancy D BeaulieuHarvard Medical School, Boston, Massachusetts.
Jason D BuxbaumHarvard University, Cambridge, Massachusetts.
David M CutlerHarvard University, Cambridge, Massachusetts.
JoAnna K LeyenaarDartmouth-Hitchcock Medical Center, Hanover, New Hampshire.
Sarah C McBrideHarvard Medical School, Boston, Massachusetts.
Olivia ZhaoHarvard Business School, Boston, Massachusetts.
Alyna T ChienHarvard Medical School, Boston, Massachusetts.

Funding

AHRQ HHS T32 HS000055AHRQ HHS U19 HS024072
6 · The paper itself

Abstract

objectivesThis paper provides an examination of: (1) the frequency and net rates of change for general pediatric inpatient (GPI) unit closures and openings nationally and by state; (2) how often closures or openings are caused by GPI unit changes only or caused by hospital-level changes; and (3) the relationship between hospital financial status and system ownership and GPI unit closures or openings.

methodsThis study used the Health Systems and Providers Database (2011-2018) plus 3 data sources on hospital closures. We enumerated GPI unit closures and openings to calculate net rates of change. Multinomial logistic regressions analyzed associations between financial distress, system ownership, and the likelihood of closing or opening a GPI unit, adjusting for hospital characteristics.

resultsAcross the study period, more GPI units closed th opened for a net closure rate of 2.0% (15.7% [638 of 4069] closures minus 13.7% [558 of 4069] openings). When GPI units closed, 89.0% (568 of 638) did so in a hospital that remained operating. Hospitals with the most financial distress were not more likely to close a GPI unit than those not (odds ratio: 1.01 [95% confidence interval: 0.68-1.50]), but hospitals owned by systems were significantly less likely to close a GPI unit than those not (odds ratio: 0.66 [95% confidence interval: 0.47-0.91]).

conclusionsOverall, more GPI units closed than opened, and closures mostly involved hospitals that otherwise remained operational. A hospital's overall financial distress was not associated with GPI unit closures, whereas being owned by a system was associated with fewer closures.

Indexed as

Health Facility ClosureHospitals, PediatricChildHospital UnitsHumansOwnershipUnited States

Identifiers

PMID39354895
PMCPMC12915693

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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.