Evidence map›Paper›PMID 38640960›Full record

ArticleJournal of the American Medical Directors Association2024

Factors Associated With the Ability of US Nursing Homes to Accept Residents With Severe Obesity.

Cynthia McMahan, Bianca Shieu, Alison Trinkoff, Nicholas Castle, David G Wolf, Steven Handler, John A Harris

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2024. 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, top 91% of its field
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, 0 citations in OpenAlex.

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

7 authors at 5 institutions in 1 country.

Cynthia McMahanSchool of Medicine, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: cym12@pitt.edu.
Bianca ShieuSchool of Nursing, University of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Alison TrinkoffDepartment of Family and Community Health, University of Maryland School of Nursing, Baltimore, MD, USA.
Nicholas CastleDepartment of Health Policy and Management, School of Public Health, West Virginia University, Morgantown, WV, USA.
David G WolfCollege of Business and Management, Lynn University, Boca Raton, FL, USA.
Steven HandlerSchool of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Technology Enhancing Cognition and Health - Geriatrics Research Education and Clinical Center (TECH-GRECC), Veterans Administration Pittsburgh Healthcare System, Pittsburgh, PA, USA.
John A HarrisSchool of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Obstetrics, Gynecology & Reproductive Sciences, Magee-Womens Research Institute, Pittsburgh, PA, USA.
University of Pittsburgh · USLynn University · USThe University of Texas Health Science Center at San Antonio · USUniversity of Maryland, Baltimore · USWest Virginia University · US

Funding

AHRQ HHS R01 HS026943
6 · The paper itself

Abstract

objectivesSevere obesity in nursing home (NH) residents is associated with specialized care needs, limited mobility, and challenges in daily living. The COVID-19 pandemic strained NH resources and exacerbated staffing shortages. This study aimed to assess the ability of US NHs to accept and care for residents with severe obesity post-COVID, as well as associated NH factors.

designCross-sectional nationwide survey of NH administrators (2021-2022). SETTING AND

participants290 NHs from a national sample (n = 224) and a targeted sample in Massachusetts and New Jersey (n = 66).

methodsA survey designed to assess how NHs approach admitting and caring for people with severe obesity before and after COVID was fielded from 2021 to 2022. Responses were linked to facility information from the Certification and Survey Provider Enhanced Reports, Minimum Data Set, Nursing Home Compare, Area Health Resources File, and US Diabetes Surveillance System. Multivariable logistic regression was used to assess the effect of organizational and survey response variables.

resultsOf the 2503 surveys sent to US NHs, 1923 were sent to the national NH stratified sample, and 580 were sent to the MA/NJ sample. Overall, 12% (301 of 2503) of NHs surveyed responded. The response rates were similar between the 2 samples. Of 290 NHs with complete data, 34% reported being unlikely to accept residents with severe obesity after COVID-19, compared with 25% before the pandemic (P < .001). The main barriers to acceptance were staffing shortages and difficulties meeting equipment and space needs. NHs with higher proportions of Black residents were more likely to admit individuals with severe obesity. CONCLUSIONS AND IMPLICATIONS: The decline in acceptance of residents with severe obesity during and after COVID-19 highlights potential challenges that this population faces in accessing care. Our results also raise concerns that an intersection of disparities may exist in Black patients with severe obesity.

Indexed as

COVID-19Nursing HomesObesity, MorbidSARS-CoV-2AgedCross-Sectional StudiesFemaleHumansMalePandemicsUnited Statesbarriers to carecare qualityNursing homesobesity

Identifiers

PMID38640960
PMCPMC12516583
OpenAlexW4394859908

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.