Evidence map›Paper›PMID 35435038›Full record

ArticleThe Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres2023

"I Called us the Sacrificial Lambs": Experiences of Nurses Working in Border City Hospitals During the First Wave of the COVID-19 Pandemic.

A Dana Ménard, Kendall Soucie, Laurie A Freeman, Jody Ralph, Yiu-Yin Chang, Olivia Morassutti

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

A Dana MénardFaculty of Arts, Humanities and Social Sciences, 8637University of Windsor, Windsor, ON, Canada.ORCID 0000-0002-3503-5559
Kendall SoucieFaculty of Arts, Humanities and Social Sciences, 8637University of Windsor, Windsor, ON, Canada.
Laurie A FreemanFaculty of Nursing, 8637University of Windsor, Windsor, ON, Canada.
Jody RalphFaculty of Nursing, 8637University of Windsor, Windsor, ON, Canada.
Yiu-Yin ChangFaculty of Arts, Humanities and Social Sciences, 8637University of Windsor, Windsor, ON, Canada.ORCID 0000-0002-8974-8298
Olivia MorassuttiFaculty of Human Kinetics, 8637University of Windsor, Windsor, ON, Canada.
University of Windsor · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe first wave of the COVID-19 pandemic had a significant impact on the personal and professional lives of frontline nurses. PURPOSE: The purpose of this descriptive phenomenological study was to explore the experiences of Canadian Registered Nurses (RNs) working in Ontario or United States hospitals during the first wave of the COVID-19 pandemic.

methodsSemi-structured interviews were conducted with 36 RNs living in Ontario and employed either at an Ontario or United States hospital. Three main themes were identified across both healthcare contexts.

results1) The

conclusionsThe COVID-19 pandemic has been very difficult for nursing as a profession. Close attention to post-pandemic issues is warranted.

Indexed as

COVID-19NursesHospitals, UrbanHumansOntarioPandemicsQualitative ResearchSocial Stigmaamerican healthcareCanadian healthcareCOVID-19nurses as subjectsqualitative approaches

Identifiers

PMID35435038
PMCPMC9016371
OpenAlexW4223905669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.