Evidence map›Paper›PMID 33432272›Full record

ReviewFuture science OA2020

Free-standing acute inpatient rehabilitation hospital enhanced practices and policies in response to the COVID-19 outbreak.

Reza Ehsanian, Jessi Workman, Derrick Jones, David Selvage, W Evan Rivers, Athanasios K Manole, John Henry Sloan

Abstract readReview
In one paragraph

Review in Future science OA, 2020. 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
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.

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.

Reza EhsanianDivision of Physical Medicine & Rehabilitation, Department of Department of Orthopedics & Rehabilitation, University of New Mexico School of Medicine, Albuquerque, NM, USA.
Jessi WorkmanLovelace Health System, Albuquerque, NM, USA.
Derrick JonesLovelace Health System, Albuquerque, NM, USA.
David SelvageNew Mexico Department of Health, Healthcare-Associated Infections Program, Infectious Disease Epidemiology Bureau, Epidemiology & Response Division, Santa Fe, NM, USA.
W Evan RiversDivision of Physical Medicine & Rehabilitation, Department of Department of Orthopedics & Rehabilitation, University of New Mexico School of Medicine, Albuquerque, NM, USA.
Athanasios K ManoleDivision of Physical Medicine & Rehabilitation, Department of Department of Orthopedics & Rehabilitation, University of New Mexico School of Medicine, Albuquerque, NM, USA.
John Henry SloanDivision of Physical Medicine & Rehabilitation, Department of Department of Orthopedics & Rehabilitation, University of New Mexico School of Medicine, Albuquerque, NM, USA.ORCID https://orcid.org/0000-0002-0848-2134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This special report was developed to communicate policy and procedures for free-standing acute inpatient rehabilitation hospitals (AIRHs) to protect patients and healthcare personnel and to prevent further spread of severe acute respiratory syndrome coronavirus 2. The recommended policies were developed in conjunction with the New Mexico Department of Health and hospital leadership. As we attain additional knowledge and experience during this pandemic, suggestions of best practice will continue to evolve for AIRHs. The authors encourage readers to work with local regulatory officials to ensure regulatory compliance as well as respect of the availability of local resources.

Indexed as

acute rehabilitationcoronavirus diseaseCOVID-19healthcare policysevere acute respiratory syndrome coronavirus 2

Identifiers

PMID33432272
PMCPMC7745654

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.