Evidence map›Paper›PMID 33715193›Full record

ArticlePublic health nursing (Boston, Mass.)2021

A framework for delivering nursing care to older adults with COVID-19 in nursing homes.

Deanna Gray-Miceli, Jeannette Rogowski, Pamela B de Cordova, Marie Boltz

Open access · hybridAbstract read
In one paragraph

Article in Public health nursing (Boston, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

4 authors at 3 institutions in 1 country.

Deanna Gray-MiceliJefferson College of Nursing, Thomas Jefferson University, Philadelphia, PA, USA.ORCID 0000-0002-1338-9364
Jeannette RogowskiDepartment of Health Policy and Administration, The Pennsylvania State University, University Park, PA, USA.
Pamela B de CordovaRutgers, the State University of New Jersey, School of Nursing, Newark, NJ, USA.
Marie BoltzPenn State College of Nursing, University Park, PA, USA.
Pennsylvania State University · USRutgers, The State University of New Jersey · USThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health emergencies threaten the lives of U.S. citizens, often in disproportionate ways. Hardest hit are vulnerable populations of older adults (OAs) residing in nursing homes (NHs), who comprised nearly 43% of all deaths from COVID-19 in NHs in 2020. New Jersey (NJ) ranks #2 nationally behind New York with the highest numbers of resident deaths; more than 50% of all COVID-19-related deaths in NJ have occurred in NHs. This public health emergency has prompted investigators to evaluate existing structural, resident, process of care, regulatory, and policy characteristics that have impacted the delivery of nursing care within NJ NHs. In this manuscript, we discuss data from NJ NHs during COVID-19, drawing from publicly available data, state reports, and the geriatric literature to offer recommendations. Based on evidence-based practices (EBPs), we present a series of recommendations to modify existing contextual factors in NHs to best prepare for the next health disaster.

Indexed as

Nursing HomesAgedCOVID-19HumansNew JerseyNursing Careagedevidence-based practicegeriatric nursingnursing homespublic health nursing practicesafety

Identifiers

PMID33715193
PMCPMC8251143
OpenAlexW3139035569

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.