Evidence map›Paper›PMID 37944905›Full record

ArticleJournal of the American Medical Directors Association2024

Underuse of SARS-CoV-2-Neutralizing Monoclonal Antibodies in Skilled Nursing Facilities.

Catharine I Paules, Nicole Osevala, Erik Lehman, Emily S Heilbrunn, Erica Francis, R Ellen Hogentogler, Lan Kong, Jennifer L Kraschnewski

Open access · greenAbstract 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 59% 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

8 authors at 2 institutions in 1 country.

Catharine I PaulesDivision of Infectious Diseases, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA. Electronic address: cpaules@pennstatehealth.psu.edu.
Nicole OsevalaDivision of Geriatric Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA.
Erik LehmanDepartment of Public Health Sciences, Penn State College of Medicine, Penn State University, Hershey, PA, USA.
Emily S HeilbrunnDepartment of Medicine, Penn State College of Medicine, Penn State University, Hershey, PA, USA.
Erica FrancisDepartment of Medicine, Penn State College of Medicine, Penn State University, Hershey, PA, USA.
R Ellen HogentoglerDepartment of Medicine, Penn State College of Medicine, Penn State University, Hershey, PA, USA.
Lan KongDepartment of Public Health Sciences, Penn State College of Medicine, Penn State University, Hershey, PA, USA.
Jennifer L KraschnewskiDepartment of Public Health Sciences, Penn State College of Medicine, Penn State University, Hershey, PA, USA; Department of Medicine, Penn State College of Medicine, Penn State University, Hershey, PA, USA; Department of Pediatrics, Penn State College of Medicine, Penn State University, Hershey, PA, USA.
Penn State Milton S. Hershey Medical Center · USPennsylvania State University · US

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
NCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

objectiveLittle is known about deployment of SARS-CoV-2-neutralizing monoclonal antibodies (mab) in skilled nursing facilities (SNFs), a high-risk population for COVID-19-related complications. We assessed the utilization of mabs in SNFs and identified facility characteristics associated with effective use.

designRetrospective cohort study assessing the correlation of SNF characteristics with increasing mab use. SETTING AND

participantsUnited States SNFs participating in Project ECHO (Extensions for Community Health Outcomes).

methodsThe primary outcome was percentage of total mabs per COVID-19 cases in SNFs. Facilities were divided into 3 groups based on the percentage of the administration of mabs per number of cases: 0%, >0% to 20%, >20%. Ordinal logistic regression was applied to assess whether facility characteristics-study group, state, location, type, size, rating at baseline, weekly average of residents vaccinated, weekly average of staff vaccinated, and total weeks short staffed-correlated with the primary outcome. A multivariable model was used to evaluate the independent effect of predictors.

resultsA total of 130 facilities were included. Between the weeks ending on May 30, 2021, and on May 29, 2022, mean mab use when accounting for the number of COVID-19 cases was 12.96% (±26.71%) and >50% of facilities administered 0 doses of mabs. Facility location was associated with mab use (P value .030), with micropolitan facilities having the highest percentage of facilities administering mabs (30.4% in >0% to 20%, and 39.1% in >20%, respectively). There was a nonsignificant trend toward increased mab use in facilities reporting fewer staffing shortages. When the multivariable ordinal logistic regression model was applied, location in a micropolitan vs metropolitan area was associated with higher odds [3.29 (1.30, 8.32), P value .012] of increasing percentage total mabs per cases. CONCLUSIONS AND IMPLICATIONS: COVID-19 mabs were underutilized in a high-risk population for COVID-19 hospitalization and death. Understanding the barriers to effective distribution is critical in shaping pandemic preparedness efforts for the future.

Indexed as

COVID-19Skilled Nursing FacilitiesHospitalizationHumansRetrospective StudiesSARS-CoV-2United StatesCOVID-19monoclonal antibodiesskilled nursing facilities

Identifiers

PMID37944905
PMCPMC10872363
OpenAlexW4388411720

What OpenQuestion holds

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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.