Evidence map›Paper›PMID 39417836›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Ownership Matters: Not-for-Profit Chain Nursing Homes Have Higher Utilization of Agency Nursing Staff.

Rohit Pradhan, Akbar Ghiasi, Gregory Orewa, Shivani Gupta, Ganisher Davlyatov, Bradley Beauvais, Robert Weech-Maldonado

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. 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

7 authors.

Rohit PradhanTexas State University, San Marcos, TX, USA.ORCID 0009-0006-3762-7212
Akbar GhiasiUniversity of the Incarnate Word, San Antonio, TX, USA.
Gregory OrewaUniversity of Texas at San Antonio, San Antonio, TX, USA.ORCID 0000-0002-3519-7902
Shivani GuptaUniversity of Houston - Clear Lake, Houston, TX, USA.
Ganisher DavlyatovUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Bradley BeauvaisTexas State University, San Marcos, TX, USA.ORCID 0000-0003-3085-5379
Robert Weech-MaldonadoUniversity of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0002-5005-0909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nursing homes (NHs) have long struggled with nurse shortages, leading to a greater reliance on agency nurses. The purpose of this study was to examine the impact of NH ownership on agency nurse utilization. Data were derived from multiple sources, including the Payroll-Based Journal and NH Five-Star Facility Quality Reporting System (n: 38,550 years: 2020-2022). A 2-part logistic regression model with 2-way fixed effects (state and year) was used to assess the association of ownership and agency nurse utilization. Model 1 compared facilities with and without agency nurse use, while Model 2 focused on NHs using agency nurses, examining high utilization (top 10%). The dependent variables were agency nurse utilization ratios for registered nurses (RNs), licensed practical nurses (LPNs), and certified nursing assistants (CNAs). The primary independent variable was ownership/chain affiliation: for-profit chain (FPC), for-profit independent (FPI), not-for-profit chain (NFPC), and not-for-profit independent (NFPI). Model 1 showed that NFPC facilities had higher odds of using agency RNs (OR = 1.65), LPNs (OR = 1.53), and CNAs (OR = 1.38) compared to NFPI facilities (all

Indexed as

Nursing HomesNursing StaffOwnershipHealth Facilities, ProprietaryHumansUnited Statesagency nursescontract nursesnursing homesownership

Identifiers

PMID39417836
PMCPMC11490951

What OpenQuestion holds

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LicenceCC BY-NC
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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.