Evidence map›Paper›PMID 33296522›Full record

ArticleInternational journal of clinical practice2021

The perception of nurses towards their roles during the COVID-19 pandemic.

Sawsan Abuhammad, Manar AlAzzam, Tareq Mukattash

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.8field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 67 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Sawsan AbuhammadDepartment of Maternal and Child Health Nursing, Jordan University of Science and Technology, Irbid, Jordan.ORCID https://orcid.org/0000-0001-5817-8950
Manar AlAzzamDepartment of Community Health, Al-Albayt University, Mafraq, Jordan.
Tareq MukattashDepartment of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Jordan University of Science and Technology · JOAl al-Bayt University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aims to evaluate the available content on local Jordanian Facebook nursing groups regarding perception of their roles during coronavirus pandemic.

methodResearchers used the Facebook search engine to select local Facebook groups.

resultsNurses were perceived to perform a constructive role when acting as the first-line health provider, having a public awareness role and providing care for patients. Advocating and supporting the sick and their families, ignoring and underestimating their role, nurses have a positive perception of their roles during the coronavirus pandemic. Besides being responsible for their daily activities during the epidemic, they had additional roles of ensuring the safety and contentment of their patients.

conclusionIn general, nurses in Jordan perceived their roles during the COVID-19 outbreak to be constructive. They performed the task of supporting and advocating for the sick and their families. Despite these efforts during the outbreak. IMPLICATION FOR NURSING: Nurses in general, nursing leaders and managers are in the forefront of responding to the unique needs of their workforces during the COVID-19 crisis. There must be an explicit adoption of strategy in all clinical environments and other clinical institutions to enhance the nurse image among themselves and community members.

Indexed as

Attitude of Health PersonnelCOVID-19NursesNurse's RolePandemicsHumansJordanSARS-CoV-2

Identifiers

PMID33296522
PMCPMC7883258
OpenAlexW3112808819

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.