Evidence map›Paper›PMID 39963524›Full record

ArticleInnovation in aging2025

How Neighborhood Social Deprivation Is Associated With Nursing Home Quality: A Structure, Process, Outcome Model.

Rohit Pradhan, Justin Lord, Gregory Orewa, Ganisher Davlyatov, Robert Weech-Maldonado

Abstract read
In one paragraph

Article in Innovation in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Rohit PradhanSchool of Health Administration, Texas State University, San Marcos, Texas, USA.ORCID https://orcid.org/0009-0006-3762-7212
Justin LordJames K. Elrod Department of Health Administration, College of Business, Louisiana State University Shreveport, Shreveport, Louisiana, USA.ORCID https://orcid.org/0000-0002-4557-955X
Gregory OrewaDepartment of Public Health, University of Texas at San Antonio, San Antonio, Texas, USA.
Ganisher DavlyatovDepartment of Health Administration and Policy, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.
Robert Weech-MaldonadoDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Nursing home (NH) quality often varies across socioeconomic gradients. The purpose of this study was to explore the relationship between social deprivation and NH quality. Research Design and Methods: Integrating resource dependence theory with Donabedian's structure-process-outcome model, this study utilized 2019 data from Payroll Based Journal, Care Compare: Five-Star Quality Rating System, and LTCFocus.org. The analytic file included 12,900 free-standing NH observations. The primary variable of interest was severe social deprivation index (SDI) defined as SDI ≥85/100. Structural equation modeling was used to explore the effects of severe deprivation on NH structural (nursing staff), processes (antipsychotic medications [APMs]), and outcomes (falls, pressure ulcers, activities of daily living [ADL] decline, and hospitalizations) quality indicators among long-stay NH residents. Results: Nursing homes in communities with severe SDI showed a decrease of 0.02 registered nurse (RN) hours per resident day (PRD) ( Discussion and Implications: Severe social deprivation affected nursing staff patterns, affecting care quality. These findings highlight the importance of considering environmental factors in the NH quality policymaking process.

Indexed as

Nursing homesNursing staffQuality of healthcareSocioeconomic disparities

Identifiers

PMID39963524
PMCPMC11831227

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.