Evidence map›Paper›PMID 36084983›Full record

ArticleJournal of emergency nursing2022

Duty to Work During the COVID-19 Pandemic: A Cross-Sectional Study of Perceptions of Health Care Providers in Jordan.

Mahmoud T Alwidyan, Alaa O Oteir, Anas A Mohammad, Nihaya A Al-Sheyab

Open access · bronzeAbstract read
In one paragraph

Article in Journal of emergency nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 2 countries.

Mahmoud T Alwidyan
Alaa O Oteir
Anas A Mohammad
Nihaya A Al-Sheyab
Jordan University of Science and Technology · JOMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to assess perceptions of duty to work among health care providers during the coronavirus disease 2019 response and to identify factors that may influence their perceptions.

methodsThis was a cross-sectional study conducted from April 1, 2020, to April 20, 2020, using an online survey distributed to health care providers in Jordan. Descriptive statistics were used, as well as chi-square test for independence to assess relationships between variables.

resultsA total of 302 questionnaires were included. Commitment to serve the community was the primary reason for coming to work (36%), followed by commitment to faith (29.6%). The major perceived barriers for coming to work were lack of appropriate personal protective equipment and appropriate training (62.6% and 53.5%, respectively). Males perceived higher work obligations than females in all potential barriers (P < .05), except for the lack of appropriate training. Nurses perceived higher work obligations than other health care providers despite the lack of appropriate training (χ DISCUSSION: While the majority of health care providers perceive an obligation to work during the coronavirus disease 2019 pandemic, specific conditions, mainly lack of protective gear and training, may significantly alter their perception of work obligation. Providing training and proper personal protective equipment are among the vital measures that could improve the work environment and work obligation during pandemic conditions.

Indexed as

COVID-19Cross-Sectional StudiesFemaleHealth PersonnelHumansJordanMalePandemicsCOVID-19Ethics-medicalHealth personnelHealth workforce

Identifiers

PMID36084983
PMCPMC9448511
OpenAlexW4295473748

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.